A Glimpse on Trends and Characteristics of Recent Articles Published in the Korean Journal of Radiology

Yeon Hyeon Choe

doi:10.3348/kjr.2019.0928

editorial

. 2019 Dec 26;20(12):1555–1561. doi: 10.3348/kjr.2019.0928

A Glimpse on Trends and Characteristics of Recent Articles Published in the Korean Journal of Radiology

Yeon Hyeon Choe ^1,^✉

PMCID: PMC6923209 PMID: 31854145

One of the aims of the Korean Journal of Radiology (KJR) is to publish trendy articles of high academic interest. KJR started to publish articles on deep learning or artificial intelligence as many other journals are interested in them (1,2,3,4,5,6,7,8,9,10,11,12,13,14). KJR also welcomes articles on radiomics (1,15,16,17), other advanced imaging techniques, and new imaging systems (18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50). KJR increasingly publishes meta-analyses (2,51,52,53,54,55,56,57,58,59,60), and guidelines (19,31,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79), and KJR also publishes consensus statements and recommendations (67,80,81,82) in collaboration with Korean Society of Radiology or other societies (68,78,83,84). Trends show increasing number of published articles with a prospective design and/or multicenter involvement in the studies (2,20,21,49,50,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127). The numbers of articles with guidelines or consensus statements/recommendations were one in 2016, three in 2017, four in 2018, and 12 in 2019. The numbers of articles with prospective studies were 9 (13.0% of 69 original articles) in 2016, 7 (10.9% of 64 original articles) in 2017, 15 (13.4% of 112 original articles) in 2018, and 13 (12.0% of 108 original articles) in 2019. Six (5.4%) and nine (8.3%) multicenter studies were published in 2018 and in 2019, respectively.

Among the articles published in the period from 2017 to 2018, top 37 articles with citations of 6 or more as of December 8, 2019 in the Web of Science core collection journals included 23 original articles, 10 reviews, and 6 guidelines or consensus statements. Among them, radiofrequency ablation, thyroid imaging and intervention, liver imaging, and cardiovascular imaging contributed for six articles, respectively (4,6,17,24,29,30,31,47,49,50,69,73,74,81,104,109,112,114,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146). Top 10 KJR articles that had been read most in October 2019 included four articles on thyroid imaging or intervention and six practice guidelines or consensus statements (6,21,61,68,69,71,81,126,147,148).

References

1.Park S, Lee SM, Do KH, Lee JG, Bae W, Park H, et al. Deep learning algorithm for reducing CT slice thickness: effect on reproducibility of radiomic features in lung cancer. Korean J Radiol. 2019;20:1431–1440. doi: 10.3348/kjr.2019.0212. [DOI] [PMC free article] [PubMed] [Google Scholar]
2.Kim DW, Jang HY, Kim KW, Shin Y, Park SH. Design characteristics of studies reporting the performance of artificial intelligence algorithms for diagnostic analysis of medical images: results from recently published papers. Korean J Radiol. 2019;20:405–410. doi: 10.3348/kjr.2019.0025. [DOI] [PMC free article] [PubMed] [Google Scholar]
3.Choi JS, Han BK, Ko ES, Bae JM, Ko EY, Song SH, et al. Effect of a deep learning framework-based computeraided diagnosis system on the diagnostic performance of radiologists in differentiating between malignant and benign masses on breast ultrasonography. Korean J Radiol. 2019;20:749–758. doi: 10.3348/kjr.2018.0530. [DOI] [PMC free article] [PubMed] [Google Scholar]
4.Yoo YJ, Ha EJ, Cho YJ, Kim HL, Han M, Kang SY. Computer-aided diagnosis of thyroid nodules via ultrasonography: initial clinical experience. Korean J Radiol. 2018;19:665–672. doi: 10.3348/kjr.2018.19.4.665. [DOI] [PMC free article] [PubMed] [Google Scholar]
5.Ahn SY, Chae KJ, Goo JM. The potential role of grid-like software in bedside chest radiography in improving image quality and dose reduction: an observer preference study. Korean J Radiol. 2018;19:526–533. doi: 10.3348/kjr.2018.19.3.526. [DOI] [PMC free article] [PubMed] [Google Scholar]
6.Lee JG, Jun S, Cho YW, Lee H, Kim GB, Seo JB, et al. Deep Learning in medical imaging: general overview. Korean J Radiol. 2017;18:570–584. doi: 10.3348/kjr.2017.18.4.570. [DOI] [PMC free article] [PubMed] [Google Scholar]
7.Hong J. Medical Augmented Reality and Virtual Reality. J Korean Soc Radiol. 2019;80:226–238. [Google Scholar]
8.Kim JH. Imaging informatics: a new horizon for radiology in the era of artificial intelligence, big data, and data science. J Korean Soc Radiol. 2019;80:176–201. [Google Scholar]
9.Weikert T, Cyriac J, Yang S, Nesic I, Parmar V, Stieltjes B. A practical guide to artificial intelligence-based image analysis in radiology. Invest Radiol. 2020;55:1–7. doi: 10.1097/RLI.0000000000000600. [DOI] [PubMed] [Google Scholar]
10.Nensa F, Demircioglu A, Rischpler C. Artificial intelligence in nuclear medicine. J Nucl Med. 2019;60(Suppl 2):29S–37S. doi: 10.2967/jnumed.118.220590. [DOI] [PubMed] [Google Scholar]
11.Martín Noguerol T, Paulano-Godino F, Martín-Valdivia MT, Menias CO, Luna A. Strengths, weaknesses, opportunities, and threats analysis of artificial intelligence and machine learning applications in radiology. J Am Coll Radiol. 2019;16(9 Pt B):1239–1247. doi: 10.1016/j.jacr.2019.05.047. [DOI] [PubMed] [Google Scholar]
12.Geras KJ, Mann RM, Moy L. Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives. Radiology. 2019;293:246–259. doi: 10.1148/radiol.2019182627. [DOI] [PMC free article] [PubMed] [Google Scholar]
13.Kim H, Jung DC, Choi BW. Exploiting the vulnerability of deep learning-based artificial intelligence models in medical imaging: adversarial attacks. J Korean Soc Radiol. 2019;80:259–273. [Google Scholar]
14.Song KD, Kim M, Do S. The latest trends in the use of deep learning in radiology illustrated through the stages of deep learning algorithm development. J Korean Soc Radiol. 2019;80:202–212. [Google Scholar]
15.Park YW, Choi YS, Ahn SS, Chang JH, Kim SH, Lee SK. Radiomics MRI phenotyping with machine learning to predict the grade of lower-grade gliomas: a study focused on nonenhancing tumors. Korean J Radiol. 2019;20:1381–1389. doi: 10.3348/kjr.2018.0814. [DOI] [PMC free article] [PubMed] [Google Scholar]
16.Park JE, Park SY, Kim HJ, Kim HS. Reproducibility and generalizability in radiomics modeling: possible strategies in radiologic and statistical perspectives. Korean J Radiol. 2019;20:1124–1137. doi: 10.3348/kjr.2018.0070. [DOI] [PMC free article] [PubMed] [Google Scholar]
17.Lee M, Woo B, Kuo MD, Jamshidi N, Kim JH. Quality of radiomic features in glioblastoma multiforme: impact of semi-automated tumor segmentation software. Korean J Radiol. 2017;18:498–509. doi: 10.3348/kjr.2017.18.3.498. [DOI] [PMC free article] [PubMed] [Google Scholar]
18.Koh J, Kim MJ. Introduction of a new staging system of breast cancer for radiologists: an emphasis on the prognostic stage. Korean J Radiol. 2019;20:69–82. doi: 10.3348/kjr.2018.0231. [DOI] [PMC free article] [PubMed] [Google Scholar]
19.Kim TH, Yoon JH, Lee JM. Emerging role of hepatobiliary magnetic resonance contrast media and contrast-enhanced ultrasound for noninvasive diagnosis of hepatocellular carcinoma: emphasis on recent updates in major guidelines. Korean J Radiol. 2019;20:863–879. doi: 10.3348/kjr.2018.0450. [DOI] [PMC free article] [PubMed] [Google Scholar]
20.Kim BM, Park KY, Lee JW, Chung J, Kim DJ, Kim DI. A newly-developed flow diverter (FloWise) for internal carotid artery aneurysm: results of a pilot clinical study. Korean J Radiol. 2019;20:505–512. doi: 10.3348/kjr.2018.0421. [DOI] [PMC free article] [PubMed] [Google Scholar]
21.Joo I, Kim SY, Park HS, Lee ES, Kang HJ, Lee JM. Validation of a new point shear-wave elastography method for noninvasive assessment of liver fibrosis: a prospective multicenter study. Korean J Radiol. 2019;20:1527–1535. doi: 10.3348/kjr.2019.0109. [DOI] [PMC free article] [PubMed] [Google Scholar]
22.Choe J, Kim KW, Kim HJ, Kim DW, Kim KP, Hong SM, et al. What is new in the 2017 World Health Organization classification and 8th American Joint Committee on Cancer staging system for pancreatic neuroendocrine neoplasms? Korean J Radiol. 2019;20:5–17. doi: 10.3348/kjr.2018.0040. [DOI] [PMC free article] [PubMed] [Google Scholar]
23.Venderink W, Jenniskens SF, Michiel Sedelaar JP, Tamada T, Fütterer JJ. Yield of repeat targeted direct in-bore magnetic resonance-guided prostate biopsy (MRGB) of the same lesions in men having a prior negative targeted MRGB. Korean J Radiol. 2018;19:733–741. doi: 10.3348/kjr.2018.19.4.733. [DOI] [PMC free article] [PubMed] [Google Scholar]
24.Lee DH, Lee JM. Recent advances in the image-guided tumor ablation of liver malignancies: radiofrequency ablation with multiple electrodes, real-time multimodality fusion imaging, and new energy sources. Korean J Radiol. 2018;19:545–559. doi: 10.3348/kjr.2018.19.4.545. [DOI] [PMC free article] [PubMed] [Google Scholar]
25.Kang Y, Lee E, Lee JW, Kim SR, Kang MJ, Choi YW, et al. Effect of poly(lactide-co-glycolide) nanoparticles on local retention of fluorescent material: an experimental study in mice. Korean J Radiol. 2018;19:950–956. doi: 10.3348/kjr.2018.19.5.950. [DOI] [PMC free article] [PubMed] [Google Scholar]
26.Ahn S, Jung S, Kim JY, Shin JH, Hahn SY, Oh YL. Evaluation of modified core-needle biopsy in the diagnosis of thyroid nodules. Korean J Radiol. 2018;19:656–664. doi: 10.3348/kjr.2018.19.4.656. [DOI] [PMC free article] [PubMed] [Google Scholar]
27.O'Neill AC, Jagannathan JP, Ramaiya NH. Evolving cancer classification in the era of personalized medicine: a primer for radiologists. Korean J Radiol. 2017;18:6–17. doi: 10.3348/kjr.2017.18.1.6. [DOI] [PMC free article] [PubMed] [Google Scholar]
28.Lim S, Rhim H, Lee MW, Song KD, Kang TW, Kim YS, et al. New radiofrequency device to reduce bleeding after core needle biopsy: experimental study in a porcine liver model. Korean J Radiol. 2017;18:173–179. doi: 10.3348/kjr.2017.18.1.173. [DOI] [PMC free article] [PubMed] [Google Scholar]
29.Kim PK, Hong YJ, Im DJ, Suh YJ, Park CH, Kim JY, et al. Myocardial T1 and T2 mapping: techniques and clinical applications. Korean J Radiol. 2017;18:113–131. doi: 10.3348/kjr.2017.18.1.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
30.Goo HW, Goo JM. Dual-energy CT: new horizon in medical imaging. Korean J Radiol. 2017;18:555–569. doi: 10.3348/kjr.2017.18.4.555. [DOI] [PMC free article] [PubMed] [Google Scholar]
31.ASCI Practice Guideline Working Group. Kim JA, Choe YH, Hian SK, Hoe J, Hong YJ, et al. 2017 multimodality appropriate use criteria for noninvasive cardiac imaging: expert consensus of the Asian Society of Cardiovascular Imaging. Korean J Radiol. 2017;18:871–880. doi: 10.3348/kjr.2017.18.6.871. [DOI] [PMC free article] [PubMed] [Google Scholar]
32.Baheti AD, Jagannathan JP, O'Neill A, Tirumani H, Tirumani SH. Current concepts in non-gastrointestinal stromal tumor soft tissue sarcomas: a primer for radiologists. Korean J Radiol. 2017;18:94–106. doi: 10.3348/kjr.2017.18.1.94. [DOI] [PMC free article] [PubMed] [Google Scholar]
33.Kim M, Kim HS. Emerging techniques in brain tumor imaging: what radiologists need to know. Korean J Radiol. 2016;17:598–619. doi: 10.3348/kjr.2016.17.5.598. [DOI] [PMC free article] [PubMed] [Google Scholar]
34.Yoo HJ, Lee JS, Lee JM. Integrated whole body MR/PET: where are we? Korean J Radiol. 2015;16:32–49. doi: 10.3348/kjr.2015.16.1.32. [DOI] [PMC free article] [PubMed] [Google Scholar]
35.Lee K, Shin Y, Huh J, Sung YS, Lee IS, Yoon KH, et al. Recent issues on body composition imaging for sarcopenia evaluation. Korean J Radiol. 2019;20:205–217. doi: 10.3348/kjr.2018.0479. [DOI] [PMC free article] [PubMed] [Google Scholar]
36.Kim TM, Choi YH, Cheon JE, Kim WS, Kim IO, Park JE, et al. Optimal kiloelectron volt for noise-optimized virtual monoenergetic images of dual-energy pediatric abdominopelvic computed tomography: preliminary results. Korean J Radiol. 2019;20:283–294. doi: 10.3348/kjr.2017.0507. [DOI] [PMC free article] [PubMed] [Google Scholar]
37.Hendriks BMF, Schnerr RS, Milanese G, Jeukens CRLPN, Niesen S, Eijsvoogel NG, et al. Computed tomography pulmonary angiography during pregnancy: radiation dose of commonly used protocols and the effect of scan length optimization. Korean J Radiol. 2019;20:313–322. doi: 10.3348/kjr.2017.0779. [DOI] [PMC free article] [PubMed] [Google Scholar]
38.Yin XP, Gao BL, Li CY, Zhou H, Zhao L, Zheng YT, et al. Optimal monochromatic imaging of spectral computed tomography potentially improves the quality of hepatic vascular imaging. Korean J Radiol. 2018;19:578–584. doi: 10.3348/kjr.2018.19.4.578. [DOI] [PMC free article] [PubMed] [Google Scholar]
39.Liu G, Li M, Li G, Li Z, Liu A, Pu R, et al. Assessing the blood supply status of the focal ground-glass opacity in lungs using spectral computed tomography. Korean J Radiol. 2018;19:130–138. doi: 10.3348/kjr.2018.19.1.130. [DOI] [PMC free article] [PubMed] [Google Scholar]
40.Kim YS, Kim SH, Ryu HS, Han JK. Iodine quantification on spectral detector-based dual-energy CT enterography: correlation with Crohn's disease activity index and external validation. Korean J Radiol. 2018;19:1077–1088. doi: 10.3348/kjr.2018.19.6.1077. [DOI] [PMC free article] [PubMed] [Google Scholar]
41.Xing Y, Zhao Y, Guo N, Pan CX, Azati G, Wang YW, et al. Effect of a novel intracycle motion correction algorithm on dual-energy spectral coronary CT angiography: a study with pulsating coronary artery phantom at high heart rates. Korean J Radiol. 2017;18:881–887. doi: 10.3348/kjr.2017.18.6.881. [DOI] [PMC free article] [PubMed] [Google Scholar]
42.Chung HW, Ko SM, Hwang HK, So Y, Yi JG, Lee EJ. Diagnostic performance of coronary CT angiography, stress dual-energy CT perfusion, and stress perfusion single-photon emission computed tomography for coronary artery disease: comparison with combined invasive coronary angiography and stress perfusion cardiac MRI. Korean J Radiol. 2017;18:476–486. doi: 10.3348/kjr.2017.18.3.476. [DOI] [PMC free article] [PubMed] [Google Scholar]
43.Thacker PG, Lee EY. Advances in multidetector CT diagnosis of pediatric pulmonary thromboembolism. Korean J Radiol. 2016;17:198–208. doi: 10.3348/kjr.2016.17.2.198. [DOI] [PMC free article] [PubMed] [Google Scholar]
44.Song I, Yi JG, Park JH, Kim SM, Lee KS, Chung MJ. Virtual non-contrast CT using dual-energy spectral CT: feasibility of coronary artery calcium scoring. Korean J Radiol. 2016;17:321–329. doi: 10.3348/kjr.2016.17.3.321. [DOI] [PMC free article] [PubMed] [Google Scholar]
45.Lee KH, Lee KW, Park JH, Han K, Kim J, Lee SM, et al. Nodule classification on low-dose unenhanced CT and standarddose enhanced CT: inter-protocol agreement and analysis of interchangeability. Korean J Radiol. 2018;19:516–525. doi: 10.3348/kjr.2018.19.3.516. [DOI] [PMC free article] [PubMed] [Google Scholar]
46.Lee KB, Goo HW. Quantitative image quality and histogram-based evaluations of an iterative reconstruction algorithm at low-to-ultralow radiation dose levels: a phantom study in chest CT. Korean J Radiol. 2018;19:119–129. doi: 10.3348/kjr.2018.19.1.119. [DOI] [PMC free article] [PubMed] [Google Scholar]
47.Goo HW. Is it better to enter a volume CT dose index value before or after scan range adjustment for radiation dose optimization of pediatric cardiothoracic CT with tube current modulation? Korean J Radiol. 2018;19:692–703. doi: 10.3348/kjr.2018.19.4.692. [DOI] [PMC free article] [PubMed] [Google Scholar]
48.Kim DJ, Park MK, Jung DE, Kang JH, Kim BM. Radiation dose reduction without compromise to image quality by alterations of filtration and focal spot size in cerebral angiography. Korean J Radiol. 2017;18:722–728. doi: 10.3348/kjr.2017.18.4.722. [DOI] [PMC free article] [PubMed] [Google Scholar]
49.Oh SW, Cheon GJ. Prostate-specific membrane antigen PET imaging in prostate cancer: opportunities and challenges. Korean J Radiol. 2018;19:819–831. doi: 10.3348/kjr.2018.19.5.819. [DOI] [PMC free article] [PubMed] [Google Scholar]
50.Becker AS, Perucho JA, Wurnig MC, Boss A, Ghafoor S, Khong PL, et al. Assessment of cervical cancer with a parameter-free intravoxel incoherent motion imaging algorithm. Korean J Radiol. 2017;18:510–518. doi: 10.3348/kjr.2017.18.3.510. [DOI] [PMC free article] [PubMed] [Google Scholar]
51.Kim PH, Choi SH, Kim JH, Park SH. Comparison of radioembolization and sorafenib for the treatment of hepatocellular carcinoma with portal vein tumor thrombosis: a systematic review and meta-analysis of safety and efficacy. Korean J Radiol. 2019;20:385–398. doi: 10.3348/kjr.2018.0496. [DOI] [PMC free article] [PubMed] [Google Scholar]
52.Kim DW, Suh CH, Kim KW, Pyo J, Park C, Jung SC. Technical performance of two-dimensional shear wave elastography for measuring liver stiffness: a systematic review and metaanalysis. Korean J Radiol. 2019;20:880–893. doi: 10.3348/kjr.2018.0812. [DOI] [PMC free article] [PubMed] [Google Scholar]
53.Chung SR, Choi YJ, Suh CH, Lee JH, Baek JH. Diffusionweighted magnetic resonance imaging for predicting response to chemoradiation therapy for head and neck squamous cell carcinoma: a systematic review. Korean J Radiol. 2019;20:649–661. doi: 10.3348/kjr.2018.0446. [DOI] [PMC free article] [PubMed] [Google Scholar]
54.Wang WD, Zhang LH, Ni JY, Jiang XY, Chen D, Chen YT, et al. Radiofrequency ablation combined with transcatheter arterial chemoembolization therapy versus surgical resection for hepatocellular carcinoma within the Milan criteria: a meta-analysis. Korean J Radiol. 2018;19:613–622. doi: 10.3348/kjr.2018.19.4.613. [DOI] [PMC free article] [PubMed] [Google Scholar]
55.Choi SH, Kim JW, Kim JH, Kim KW. Efficacy and safety of microwave ablation for malignant renal tumors: an updated systematic review and meta-analysis of the literature since 2012. Korean J Radiol. 2018;19:938–949. doi: 10.3348/kjr.2018.19.5.938. [DOI] [PMC free article] [PubMed] [Google Scholar]
56.Zhu ZX, Liao MH, Wang XX, Huang JW. Transcatheter arterial chemoembolization plus 131I-labelled metuximab versus transcatheter arterial chemoembolization alone in intermediate/advanced stage hepatocellular carcinoma: a systematic review and meta-analysis. Korean J Radiol. 2016;17:882–892. doi: 10.3348/kjr.2016.17.6.882. [DOI] [PMC free article] [PubMed] [Google Scholar]
57.Wang X, Hu Y, Ren M, Lu X, Lu G, He S. Efficacy and safety of radiofrequency ablation combined with transcatheter arterial chemoembolization for hepatocellular carcinomas compared with radiofrequency ablation alone: a time-to-event meta-analysis. Korean J Radiol. 2016;17:93–102. doi: 10.3348/kjr.2016.17.1.93. [DOI] [PMC free article] [PubMed] [Google Scholar]
58.Suh CH, Park SH. Successful publication of systematic review and meta-analysis of studies evaluating diagnostic test accuracy. Korean J Radiol. 2016;17:5–6. doi: 10.3348/kjr.2016.17.1.5. [DOI] [PMC free article] [PubMed] [Google Scholar]
59.Lee J, Kim KW, Choi SH, Huh J, Park SH. Systematic review and meta-analysis of studies evaluating diagnostic test accuracy: a practical review for clinical researchers-Part II. Statistical methods of meta-analysis. Korean J Radiol. 2015;16:1188–1196. doi: 10.3348/kjr.2015.16.6.1188. [DOI] [PMC free article] [PubMed] [Google Scholar]
60.Kim KW, Lee J, Choi SH, Huh J, Park SH. Systematic review and meta-analysis of studies evaluating diagnostic test accuracy: a practical review for clinical researchers-Part I. General guidance and tips. Korean J Radiol. 2015;16:1175–1187. doi: 10.3348/kjr.2015.16.6.1175. [DOI] [PMC free article] [PubMed] [Google Scholar]
61.Lee JW, Hur JH, Yang DH, Lee BY, Im DJ, Hong SJ, et al. Guidelines for cardiovascular magnetic resonance imaging from the Korean Society of Cardiovascular Imaging-Part 2: interpretation of cine, flow, and angiography data. Korean J Radiol. 2019;20:1477–1490. doi: 10.3348/kjr.2019.0407. [DOI] [PMC free article] [PubMed] [Google Scholar]
62.Lee JH, Ha EJ, Baek JH, Choi M, Jung SE, Yong HS. Implementation of Korean clinical imaging guidelines: a mobile app-based decision support system. Korean J Radiol. 2019;20:182–189. doi: 10.3348/kjr.2018.0621. [DOI] [PMC free article] [PubMed] [Google Scholar]
63.Lee GY, Hwang JY, Kim NR, Kang Y, Choi M, Kim J, et al. Primary imaging test for suspected traumatic thoracolumbar spine injury: 2017 guidelines by the Korean Society of Radiology and National Evidence-Based Healthcare Collaborating Agency. Korean J Radiol. 2019;20:909–915. doi: 10.3348/kjr.2018.0792. [DOI] [PMC free article] [PubMed] [Google Scholar]
64.Jo Y, Kim J, Park CH, Lee JW, Hur JH, Yang DH, et al. Guideline for cardiovascular magnetic resonance imaging from the Korean Society of Cardiovascular Imaging-Part 1: standardized protocol. Korean J Radiol. 2019;20:1313–1333. doi: 10.3348/kjr.2019.0398. [DOI] [PMC free article] [PubMed] [Google Scholar]
65.Hong SH, Goo HW, Maeda E, Choo KS, Tsai IC Asian Society of Cardiovascular Imaging Congenital Heart Disease Study Group. User-friendly vendor-specific guideline for pediatric cardiothoracic computed tomography provided by the Asian Society of Cardiovascular Imaging Congenital Heart Disease Study Group: part 1. Imaging techniques. Korean J Radiol. 2019;20:190–204. doi: 10.3348/kjr.2018.0571. [DOI] [PMC free article] [PubMed] [Google Scholar]
66.Han S, Yoon SH, Lee W, Choi YH, Kang DY, Kang HR. Management of adverse reactions to iodinated contrast media for computed tomography in Korean referral hospitals: a survey investigation. Korean J Radiol. 2019;20:148–157. doi: 10.3348/kjr.2017.0771. [DOI] [PMC free article] [PubMed] [Google Scholar]
67.Hahn SY, Shin JH, Na DG, Ha EJ, Ahn HS, Lim HK, et al. Korean Society of Thyroid Radiology (KSThR); Korean Society of Radiology. Ethanol ablation of the thyroid nodules: 2018 consensus statement by the Korean Society of Thyroid Radiology. Korean J Radiol. 2019;20:609–620. doi: 10.3348/kjr.2018.0696. [DOI] [PMC free article] [PubMed] [Google Scholar]
68.Korean Liver Cancer Association (KLCA); National Cancer Center (NCC) 2018 Korean Liver Cancer Association-National Cancer Center Korea practice guidelines for the management of hepatocellular carcinoma. Korean J Radiol. 2019;20:1042–1113. doi: 10.3348/kjr.2019.0140. [DOI] [PMC free article] [PubMed] [Google Scholar]
69.Kim JH, Baek JH, Lim HK, Ahn HS, Baek SM, Choi YJ, et al. Guideline Committee for the Korean Society of Thyroid Radiology (KSThR) and Korean Society of Radiology. 2017 Thyroid Radiofrequency Ablation guideline: Korean Society of Thyroid Radiology. Korean J Radiol. 2018;19:632–655. doi: 10.3348/kjr.2018.19.4.632. [DOI] [PMC free article] [PubMed] [Google Scholar]
70.Kang MJ, Kim JH, Kim YK, Lee HJ, Shin KM, Kim JI, et al. 2018 Korean clinical imaging guideline for hemoptysis. Korean J Radiol. 2018;19:866–871. doi: 10.3348/kjr.2018.19.5.866. [DOI] [PMC free article] [PubMed] [Google Scholar]
71.Ha EJ, Lim HK, Yoon JH, Baek JH, Do KH, Choi M, et al. Korean Society of Thyroid Radiology (KSThR) and Korean Society of Radiology. Primary imaging test and appropriate biopsy methods for thyroid nodules: guidelines by Korean Society of Radiology and National Evidence-Based Healthcare Collaborating Agency. Korean J Radiol. 2018;19:623–663. doi: 10.3348/kjr.2018.19.4.623. [DOI] [PMC free article] [PubMed] [Google Scholar]
72.Cheng KL, Lin WC. RE: 2017 Thyroid Radiofrequency Ablation guideline: the Korean Society of Thyroid Radiology. Korean J Radiol. 2018;19:1196–1197. doi: 10.3348/kjr.2018.19.6.1196. [DOI] [PMC free article] [PubMed] [Google Scholar]
73.Choi SJ, Jeong WK, Jo AJ, Choi JA, Kim MJ, Lee M, et al. Methodology for developing evidence-based clinical imaging guidelines: joint recommendations by Korean Society of Radiology and National Evidence-Based Healthcare Collaborating Agency. Korean J Radiol. 2017;18:208–216. doi: 10.3348/kjr.2017.18.1.208. [DOI] [PMC free article] [PubMed] [Google Scholar]
74.KSAR Study Group for Rectal Cancer. Essential items for structured reporting of rectal cancer MRI: 2016 consensus recommendation from the Korean Society of Abdominal Radiology. Korean J Radiol. 2017;18:132–151. doi: 10.3348/kjr.2017.18.1.132. [DOI] [PMC free article] [PubMed] [Google Scholar]
75.Yoon JH, Park JW, Lee JM. Noninvasive diagnosis of hepatocellular carcinoma: elaboration on Korean Liver Cancer Study Group-National Cancer Center Korea practice guidelines compared with other guidelines and remaining issues. Korean J Radiol. 2016;17:7–24. doi: 10.3348/kjr.2016.17.1.7. [DOI] [PMC free article] [PubMed] [Google Scholar]
76.Kim YJ, Yong HS, Kim SM, Kim JA, Yang DH, Hong YJ Korean Society of Radiology; Korean Society of Cardiology. Korean guidelines for the appropriate use of cardiac CT. Korean J Radiol. 2015;16:251–285. doi: 10.3348/kjr.2015.16.2.251. [DOI] [PMC free article] [PubMed] [Google Scholar]
77.Kim YH, Bae JI, Jeon YS, Kim CW, Jae HJ, Park KB, et al. Korean guidelines for interventional recanalization of lower extremity arteries. Korean J Radiol. 2015;16:696–722. doi: 10.3348/kjr.2015.16.4.696. [DOI] [PMC free article] [PubMed] [Google Scholar]
78.Korean Liver Cancer Study Group (KLCSG); National Cancer Center, Korea (NCC) 2014 Korean Liver Cancer Study Group-National Cancer Center Korea practice guideline for the management of hepatocellular carcinoma. Korean J Radiol. 2015;16:465–522. doi: 10.3348/kjr.2015.16.3.465. [DOI] [PMC free article] [PubMed] [Google Scholar]
79.Yoon YE, Hong YJ, Kim HK, Kim JA, Na JO, Yang DH, et al. 2014 Korean guidelines for appropriate utilization of cardiovascular magnetic resonance imaging: a joint report of the Korean Society of Cardiology and the Korean Society of Radiology. Korean J Radiol. 2014;15:659–688. doi: 10.3348/kjr.2014.15.6.659. [DOI] [PMC free article] [PubMed] [Google Scholar]
80.Kim DH, Kim B, Jung C, Nam HS, Lee JS, Kim JW, et al. Consensus statements by Korean Society of Interventional Neuroradiology and Korean Stroke Society: hyperacute endovascular treatment workflow to reduce door-to-reperfusion time. Korean J Radiol. 2018;19:838–848. doi: 10.3348/kjr.2018.19.5.838. [DOI] [PMC free article] [PubMed] [Google Scholar]
81.Na DG, Baek JH, Jung SL, Kim JH, Sung JY, Kim KS, et al. Korean Society of Thyroid Radiology (KSThR) and Korean Society of Radiology. Core needle biopsy of the thyroid: 2016 consensus statement and recommendations from Korean Society of Thyroid Radiology. Korean J Radiol. 2017;18:217–237. doi: 10.3348/kjr.2017.18.1.217. [DOI] [PMC free article] [PubMed] [Google Scholar]
82.Shin JH, Baek JH, Chung J, Ha EJ, Kim JH, Lee YH, et al. Korean Society of Thyroid Radiology (KSThR) and Korean Society of Radiology. Ultrasonography diagnosis and imaging-based management of thyroid nodules: revised Korean Society of Thyroid Radiology consensus statement and recommendations. Korean J Radiol. 2016;17:370–395. doi: 10.3348/kjr.2016.17.3.370. [DOI] [PMC free article] [PubMed] [Google Scholar]
83.Lee JW, Hur JH, Yang DH, Lee BY, Im DJ, Hong SJ, et al. Guidelines for Cardiovascular Magnetic Resonance Imaging from the Korean Society of Cardiovascular Imaging—Part 2: Interpretation of Cine, Flow, and Angiography Data. Cardiovasc Imaging Asia. 2019;3:113–124. doi: 10.3348/kjr.2019.0407. [DOI] [PMC free article] [PubMed] [Google Scholar]
84.Jo Y, Kim J, Park CH, Lee JW, Hur JH, Yang DH, et al. Guideline for cardiovascular magnetic resonance imaging from the Korean Society of Cardiovascular Imaging—Part 1: standardized protocol. Cardiovasc Imaging Asia. 2019;3:74–92. doi: 10.3348/kjr.2019.0398. [DOI] [PMC free article] [PubMed] [Google Scholar]
85.Yun SJ, Jin W, Cho NS, Ryu KN, Yoon YC, Cha JG, et al. Shear-wave and strain ultrasound elastography of the supraspinatus and infraspinatus tendons in patients with idiopathic adhesive capsulitis of the shoulder: a prospective case-control study. Korean J Radiol. 2019;20:1176–1185. doi: 10.3348/kjr.2018.0918. [DOI] [PMC free article] [PubMed] [Google Scholar]
86.Park SB, Kim MJ, Ko Y, Sim JY, Kim HJ, Lee KH. Structured reporting versus free-text reporting for appendiceal computed tomography in adolescents and young adults: preference survey of 594 referring physicians, surgeons, and radiologists from 20 hospitals. Korean J Radiol. 2019;20:246–255. doi: 10.3348/kjr.2018.0109. [DOI] [PMC free article] [PubMed] [Google Scholar]
87.Park J, Kim HK, Park EA, Park JB, Lee SP, Lee W, et al. Coronary computed tomography angiography for the diagnosis of vasospastic angina: comparison with invasive coronary angiography and ergonovine provocation test. Korean J Radiol. 2019;20:719–728. doi: 10.3348/kjr.2018.0847. [DOI] [PMC free article] [PubMed] [Google Scholar]
88.Park AY, Kwon M, Woo OH, Cho KR, Park EK, Cha SH, et al. A prospective study on the value of ultrasound microflow assessment to distinguish malignant from benign solid breast masses: association between ultrasound parameters and histologic microvessel densities. Korean J Radiol. 2019;20:759–772. doi: 10.3348/kjr.2018.0515. [DOI] [PMC free article] [PubMed] [Google Scholar]
89.Li T, Tang T, Yang L, Zhang X, Li X, Luo C. Coronary CT angiography with knowledge-based iterative model reconstruction for assessing coronary arteries and non-calcified predominant plaques. Korean J Radiol. 2019;20:729–738. doi: 10.3348/kjr.2018.0435. [DOI] [PMC free article] [PubMed] [Google Scholar]
90.Ko ES, Morris EA. Abbreviated magnetic resonance imaging for breast cancer screening: concept, early results, and considerations. Korean J Radiol. 2019;20:533–541. doi: 10.3348/kjr.2018.0722. [DOI] [PMC free article] [PubMed] [Google Scholar]
91.Kang TW, Lee MW, Cha DI, Park HJ, Park JS, Bang WC, et al. Usefulness of virtual expiratory CT images to compensate for respiratory liver motion in ultrasound/CT image fusion: a prospective study in patients with focal hepatic lesions. Korean J Radiol. 2019;20:225–235. doi: 10.3348/kjr.2018.0320. [DOI] [PMC free article] [PubMed] [Google Scholar]
92.Kang HJ, Lee JM, Jeon SK, Ryu H, Yoo J, Lee JK, et al. Microvascular flow imaging of residual or recurrent hepatocellular carcinoma after transarterial chemoembolization: comparison with color/power doppler imaging. Korean J Radiol. 2019;20:1114–1123. doi: 10.3348/kjr.2018.0932. [DOI] [PMC free article] [PubMed] [Google Scholar]
93.Joo I, Kim SH, Lee DH, Han JK. Dynamic contrast-enhanced ultrasound of gastric cancer: correlation with perfusion CT and histopathology. Korean J Radiol. 2019;20:781–790. doi: 10.3348/kjr.2018.0273. [DOI] [PMC free article] [PubMed] [Google Scholar]
94.Chung SR, Baek JH, Choi YJ, Sung TY, Song DE, Kim TY, et al. The role of core needle biopsy for the evaluation of thyroid nodules with suspicious ultrasound features. Korean J Radiol. 2019;20:158–165. doi: 10.3348/kjr.2018.0101. [DOI] [PMC free article] [PubMed] [Google Scholar]
95.Zheng L, Li HL, Guo CY, Luo SX. Comparison of the efficacy and prognostic factors of transarterial chemoembolization plus microwave ablation versus transarterial chemoembolization alone in patients with a large solitary or multinodular hepatocellular carcinomas. Korean J Radiol. 2018;19:237–246. doi: 10.3348/kjr.2018.19.2.237. [DOI] [PMC free article] [PubMed] [Google Scholar]
96.Yoon JH, Lee JM, Klotz E, Woo H, Yu MH, Joo I, et al. Prediction of local tumor progression after radiofrequency ablation (RFA) of hepatocellular carcinoma by assessment of ablative margin using pre-RFA MRI and post-RFA CT registration. Korean J Radiol. 2018;19:1053–1065. doi: 10.3348/kjr.2018.19.6.1053. [DOI] [PMC free article] [PubMed] [Google Scholar]
97.Park CJ, Kim KW, Lee HJ, Kim MJ, Kim J. Contrast-enhanced CT with knowledge-based iterative model reconstruction for the evaluation of parotid gland tumors: a feasibility study. Korean J Radiol. 2018;19:957–964. doi: 10.3348/kjr.2018.19.5.957. [DOI] [PMC free article] [PubMed] [Google Scholar]
98.Oddo S, Felix E, Mussap M, Giusti M. Quality of life in patients treated with percutaneous laser ablation for non-functioning benign thyroid nodules: a prospective single-center study. Korean J Radiol. 2018;19:175–184. doi: 10.3348/kjr.2018.19.1.175. [DOI] [PMC free article] [PubMed] [Google Scholar]
99.Min J, Park M, Choi JW, Jahng GH, Moon WJ. Inter-vendor and inter-session reliability of diffusion tensor imaging: implications for multicenter clinical imaging studies. Korean J Radiol. 2018;19:777–782. doi: 10.3348/kjr.2018.19.4.777. [DOI] [PMC free article] [PubMed] [Google Scholar]
100.Lee GY, Lee JW, Yeom JS, Kim KJ, Shin HI, Kang HS. The incidence of various types of systemic reactions related to epidural steroid injections: a prospective observational study. Korean J Radiol. 2018;19:301–310. doi: 10.3348/kjr.2018.19.2.301. [DOI] [PMC free article] [PubMed] [Google Scholar]
101.Kim Y, Kim SH, Song BJ, Kang BJ, Yim KI, Lee A, et al. Early prediction of response to neoadjuvant chemotherapy using dynamic contrast-enhanced MRI and ultrasound in breast cancer. Korean J Radiol. 2018;19:682–691. doi: 10.3348/kjr.2018.19.4.682. [DOI] [PMC free article] [PubMed] [Google Scholar]
102.Kim SY, Cho JY, Lee J, Hwang SI, Moon MH, Lee EJ, et al. Low-tube-voltage CT urography using low-concentration-iodine contrast media and iterative reconstruction: a multi-institutional randomized controlled trial for comparison with conventional CT urography. Korean J Radiol. 2018;19:1119–1129. doi: 10.3348/kjr.2018.19.6.1119. [DOI] [PMC free article] [PubMed] [Google Scholar]
103.Kim JW, Hong B, Shin JH, Park J, Kim JH, Gwon DI, et al. A prospective randomized comparison of a covered metallic ureteral stent and a double-J stent for malignant ureteral obstruction. Korean J Radiol. 2018;19:606–612. doi: 10.3348/kjr.2018.19.4.606. [DOI] [PMC free article] [PubMed] [Google Scholar]
104.Jung SL, Baek JH, Lee JH, Shong YK, Sung JY, Kim KS, et al. Efficacy and safety of radiofrequency ablation for benign thyroid nodules: a prospective multicenter study. Korean J Radiol. 2018;19:167–174. doi: 10.3348/kjr.2018.19.1.167. [DOI] [PMC free article] [PubMed] [Google Scholar]
105.Hahn SY, Shin JH, Ko EY, Bae JM, Choi JS, Park KW. Complementary role of elastography using carotid artery pulsation in the ultrasonographic assessment of thyroid nodules: a prospective study. Korean J Radiol. 2018;19:992–999. doi: 10.3348/kjr.2018.19.5.992. [DOI] [PMC free article] [PubMed] [Google Scholar]
106.Gwon DI, Ko GY, Kim JW, Ko HK, Yoon HK, Sung KB. Double-stent system with long duodenal extension for palliative treatment of malignant extrahepatic biliary obstructions: a prospective study. Korean J Radiol. 2018;19:230–236. doi: 10.3348/kjr.2018.19.2.230. [DOI] [PMC free article] [PubMed] [Google Scholar]
107.Goo HW. Image quality and radiation dose of high-pitch dual-source spiral cardiothoracic computed tomography in young children with congenital heart disease: comparison of non-electrocardiography synchronization and prospective electrocardiography triggering. Korean J Radiol. 2018;19:1031–1041. doi: 10.3348/kjr.2018.19.6.1031. [DOI] [PMC free article] [PubMed] [Google Scholar]
108.Di Q. RE: efficacy and safety of radiofrequency ablation for benign thyroid nodules: a prospective multicenter study. Korean J Radiol. 2018;19:542–543. doi: 10.3348/kjr.2018.19.3.542. [DOI] [PMC free article] [PubMed] [Google Scholar]
109.Xie S, Li Q, Cheng Y, Zhang Y, Zhuo Z, Zhao G, et al. Impact of liver fibrosis and fatty liver on T1rho measurements: a prospective study. Korean J Radiol. 2017;18:898–905. doi: 10.3348/kjr.2017.18.6.898. [DOI] [PMC free article] [PubMed] [Google Scholar]
110.Min ZG, Niu C, Zhang QL, Zhang M, Qian YC. Optimal factors of diffusion tensor imaging predicting corticospinal tract injury in patients with brain tumors. Korean J Radiol. 2017;18:844–851. doi: 10.3348/kjr.2017.18.5.844. [DOI] [PMC free article] [PubMed] [Google Scholar]
111.Kim YP, Haam SJ, Lee S, Lee GD, Joo SM, Yum TJ, et al. Effectiveness of ambulatory tru-close thoracic vent for the outpatient management of pneumothorax: a prospective pilot study. Korean J Radiol. 2017;18:519–525. doi: 10.3348/kjr.2017.18.3.519. [DOI] [PMC free article] [PubMed] [Google Scholar]
112.Huh J, Kim KJ, Park SH, Park SH, Yang SK, Ye BD, et al. Diffusion-weighted MR enterography to monitor bowel inflammation after medical therapy in Crohn's disease: a prospective longitudinal study. Korean J Radiol. 2017;18:162–172. doi: 10.3348/kjr.2017.18.1.162. [DOI] [PMC free article] [PubMed] [Google Scholar]
113.Feng R, Tong J, Liu X, Zhao Y, Zhang L. High-pitch coronary CT angiography at 70 kVp adopting a protocol of low injection speed and low volume of contrast medium. Korean J Radiol. 2017;18:763–772. doi: 10.3348/kjr.2017.18.5.763. [DOI] [PMC free article] [PubMed] [Google Scholar]
114.Ahn SJ, Lee JM, Chang W, Lee SM, Kang HJ, Yang H, et al. Prospective validation of intra- and interobserver reproducibility of a new point shear wave elastographic technique for assessing liver stiffness in patients with chronic liver disease. Korean J Radiol. 2017;18:926–935. doi: 10.3348/kjr.2017.18.6.926. [DOI] [PMC free article] [PubMed] [Google Scholar]
115.Yoon SH, Park CM, Lee KH, Lim KY, Suh YJ, Im DJ, et al. Analysis of complications of percutaneous transthoracic needle biopsy using CT-guidance modalities in a multicenter cohort of 10568 biopsies. Korean J Radiol. 2019;20:323–331. doi: 10.3348/kjr.2018.0064. [DOI] [PMC free article] [PubMed] [Google Scholar]
116.Lee KH, Lim KY, Suh YJ, Hur J, Han DH, Kang MJ, et al. Diagnostic accuracy of percutaneous transthoracic needle lung biopsies: a multicenter study. Korean J Radiol. 2019;20:1300–1310. doi: 10.3348/kjr.2019.0189. [DOI] [PMC free article] [PubMed] [Google Scholar]
117.Kim H, Beck KS, Choe YH, Jung JI. Coronary-to-pulmonary artery fistula in adults: natural history and management strategies. Korean J Radiol. 2019;20:1491–1497. doi: 10.3348/kjr.2019.0331. [DOI] [PMC free article] [PubMed] [Google Scholar]
118.Moon SH, Choi WH, Yoo IR, Lee SJ, Paeng JC, Jeong SY, et al. Prognostic value of baseline 18F-fluorodeoxyglucose PET/CT in patients with multiple myeloma: a multicenter cohort study. Korean J Radiol. 2018;19:481–488. doi: 10.3348/kjr.2018.19.3.481. [DOI] [PMC free article] [PubMed] [Google Scholar]
119.Hong MJ, Na DG, Baek JH, Sung JY, Kim JH. Impact of nodule size on malignancy risk differs according to the ultrasonography pattern of thyroid nodules. Korean J Radiol. 2018;19:534–541. doi: 10.3348/kjr.2018.19.3.534. [DOI] [PMC free article] [PubMed] [Google Scholar]
120.Park EA, Lee W, Kang DK, Kim SJ, Kim YJ, Kim Y, et al. Comparison of iohexol-380 and iohexol-350 for coronary CT angiography: a multicenter, randomized, double-blind phase 3 trial. Korean J Radiol. 2016;17:330–338. doi: 10.3348/kjr.2016.17.3.330. [DOI] [PMC free article] [PubMed] [Google Scholar]
121.Ha EJ, Moon WJ, Na DG, Lee YH, Choi N, Kim SJ, et al. A multicenter prospective validation study for the Korean thyroid imaging reporting and data system in patients with thyroid nodules. Korean J Radiol. 2016;17:811–821. doi: 10.3348/kjr.2016.17.5.811. [DOI] [PMC free article] [PubMed] [Google Scholar]
122.Kim SJ, Choi CG, Kim JK, Yun SC, Jahng GH, Jeong HK, et al. Effects of MR parameter changes on the quantification of diffusion anisotropy and apparent diffusion coefficient in diffusion tensor imaging: evaluation using a diffusional anisotropic phantom. Korean J Radiol. 2015;16:297–303. doi: 10.3348/kjr.2015.16.2.297. [DOI] [PMC free article] [PubMed] [Google Scholar]
123.Kim DW, Jung SL, Kim J, Ryu JH, Sung JY, Lim HK. Comparison between ultrasonography and computed tomography for detecting the pyramidal lobe of the thyroid gland: a prospective multicenter study. Korean J Radiol. 2015;16:402–409. doi: 10.3348/kjr.2015.16.2.402. [DOI] [PMC free article] [PubMed] [Google Scholar]
124.Kwak JY, Jung I, Baek JH, Baek SM, Choi N, Choi YJ, et al. Korean Society of Thyroid Radiology (KSThR); Korean Society of Radiology. Image reporting and characterization system for ultrasound features of thyroid nodules: multicentric Korean retrospective study. Korean J Radiol. 2013;14:110–117. doi: 10.3348/kjr.2013.14.1.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
125.Na DG, Lee JH, Jung SL, Kim JH, Sung JY, Shin JH, et al. Korean Society of Thyroid Radiology (KSThR); Korean Society of Radiology. Radiofrequency ablation of benign thyroid nodules and recurrent thyroid cancers: consensus statement and recommendations. Korean J Radiol. 2012;13:117–125. doi: 10.3348/kjr.2012.13.2.117. [DOI] [PMC free article] [PubMed] [Google Scholar]
126.Moon WJ, Baek JH, Jung SL, Kim DW, Kim EK, Kim JY, et al. Korean Society of Thyroid Radiology (KSThR); Korean Society of Radiology. Ultrasonography and the ultrasound-based management of thyroid nodules: consensus statement and recommendations. Korean J Radiol. 2011;12:1–14. doi: 10.3348/kjr.2011.12.1.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
127.Peña CS, Saini S, Baron RL, Hamm BA, Morana G, Caudana R, et al. Detection of malignant primary hepatic neoplasms with gadobenate dimeglumine (Gd-BOPTA) enhanced T1-weighted hepatocyte phase MR imaging: results of off-site blinded review in a phase-II multicenter trial. Korean J Radiol. 2001;2:210–215. doi: 10.3348/kjr.2001.2.4.210. [DOI] [PMC free article] [PubMed] [Google Scholar]
128.Chen SQ, Huang M, Shen YY, Liu CL, Xu CX. Abbreviated MRI protocols for detecting breast cancer in women with dense breasts. Korean J Radiol. 2017;18:470–475. doi: 10.3348/kjr.2017.18.3.470. [DOI] [PMC free article] [PubMed] [Google Scholar]
129.Kang TW, Lee MW, Song KD, Kim M, Kim SS, Kim SH, et al. Added value of contrast-enhanced ultrasound on biopsies of focal hepatic lesions invisible on fusion imaging guidance. Korean J Radiol. 2017;18:152–161. doi: 10.3348/kjr.2017.18.1.152. [DOI] [PMC free article] [PubMed] [Google Scholar]
130.Goo HW. Comparison of chest pain protocols for electrocardiography-gated dual-source cardiothoracic CT in children and adults: the effect of tube current saturation on radiation dose reduction. Korean J Radiol. 2018;19:23–31. doi: 10.3348/kjr.2018.19.1.23. [DOI] [PMC free article] [PubMed] [Google Scholar]
131.Kim SK, Lee KA, Sauk S, Korenblat K. Comparison of transjugular intrahepatic portosystemic shunt with covered stent and balloon-occluded retrograde transvenous obliteration in managing isolated gastric varices. Korean J Radiol. 2017;18:345–354. doi: 10.3348/kjr.2017.18.2.345. [DOI] [PMC free article] [PubMed] [Google Scholar]
132.Kim SS, Jin GY, Li YZ, Lee JE, Shin HS. CT quantification of lungs and airways in normal Korean subjects. Korean J Radiol. 2017;18:739–748. doi: 10.3348/kjr.2017.18.4.739. [DOI] [PMC free article] [PubMed] [Google Scholar]
133.Korean Society of Abdominal Radiology. Diagnosis of hepatocellular carcinoma with gadoxetic acid-enhanced MRI: 2016 consensus recommendations of the Korean Society of Abdominal Radiology. Korean J Radiol. 2017;18:427–443. doi: 10.3348/kjr.2017.18.3.427. [DOI] [PMC free article] [PubMed] [Google Scholar]
134.Shah HJ, Keraliya AR, Jagannathan JP, Tirumani SH, Lele VR, DiPiro PJ. Diffuse large B-cell lymphoma in the era of precision oncology: how imaging is helpful. Korean J Radiol. 2017;18:54–70. doi: 10.3348/kjr.2017.18.1.54. [DOI] [PMC free article] [PubMed] [Google Scholar]
135.Seo M, Ryu JK, Jahng GH, Sohn YM, Rhee SJ, Oh JH, et al. Estimation of T2* relaxation time of breast cancer: correlation with clinical, imaging and pathological features. Korean J Radiol. 2017;18:238–248. doi: 10.3348/kjr.2017.18.1.238. [DOI] [PMC free article] [PubMed] [Google Scholar]
136.Braschi-Amirfarzan M, Tirumani SH, Hodi FS, Jr, Nishino M. Immune-checkpoint inhibitors in the era of precision medicine: what radiologists should know. Korean J Radiol. 2017;18:42–53. doi: 10.3348/kjr.2017.18.1.42. [DOI] [PMC free article] [PubMed] [Google Scholar]
137.Park HS, Baek JH, Choi YJ, Lee JH. Innovative techniques for image-guided ablation of benign thyroid nodules: combined ethanol and radiofrequency ablation. Korean J Radiol. 2017;18:461–469. doi: 10.3348/kjr.2017.18.3.461. [DOI] [PMC free article] [PubMed] [Google Scholar]
138.Fütterer JJ. Multiparametric MRI in the detection of clinically significant prostate cancer. Korean J Radiol. 2017;18:597–606. doi: 10.3348/kjr.2017.18.4.597. [DOI] [PMC free article] [PubMed] [Google Scholar]
139.Chang W, Lee JM, Lee SM, Han JK. No-touch radiofrequency ablation: a comparison of switching bipolar and switching monopolar ablation in ex vivo bovine liver. Korean J Radiol. 2017;18:279–288. doi: 10.3348/kjr.2017.18.2.279. [DOI] [PMC free article] [PubMed] [Google Scholar]
140.Kim HJ, Bang JI, Kim JY, Moon JH, So Y, Lee WW. Novel application of quantitative single-photon emission computed tomography/computed tomography to predict early response to methimazole in Graves' disease. Korean J Radiol. 2017;18:543–550. doi: 10.3348/kjr.2017.18.3.543. [DOI] [PMC free article] [PubMed] [Google Scholar]
141.Lee JW, Jeong YJ, Lee G, Lee NK, Lee HW, Kim JY, et al. Predictive value of cardiac magnetic resonance imaging-derived myocardial strain for poor outcomes in patients with acute myocarditis. Korean J Radiol. 2017;18:643–654. doi: 10.3348/kjr.2017.18.4.643. [DOI] [PMC free article] [PubMed] [Google Scholar]
142.Lee JW, Kim HY, Goo JM, Kim EY, Lee SJ, Kim TJ, et al. Radiological report of pilot study for the Korean Lung Cancer Screening (K-LUCAS) project: feasibility of implementing lung imaging reporting and data system. Korean J Radiol. 2018;19:803–808. doi: 10.3348/kjr.2018.19.4.803. [DOI] [PMC free article] [PubMed] [Google Scholar]
143.Park JE, Han K, Sung YS, Chung MS, Koo HJ, Yoon HM, et al. Selection and reporting of statistical methods to assess reliability of a diagnostic test: conformity to recommended methods in a peer-reviewed journal. Korean J Radiol. 2017;18:888–897. doi: 10.3348/kjr.2017.18.6.888. [DOI] [PMC free article] [PubMed] [Google Scholar]
144.Park HS, Baek JH, Park AW, Chung SR, Choi YJ, Lee JH. Thyroid radiofrequency ablation: updates on innovative devices and techniques. Korean J Radiol. 2017;18:615–623. doi: 10.3348/kjr.2017.18.4.615. [DOI] [PMC free article] [PubMed] [Google Scholar]
145.Yoon IS, Shin JH, Han K, Kim PN, Kim KH, Kang YK, et al. Ultrasound-guided intraoperative radiofrequency ablation and surgical resection for liver metastasis from malignant gastrointestinal stromal tumors. Korean J Radiol. 2018;19:54–62. doi: 10.3348/kjr.2018.19.1.54. [DOI] [PMC free article] [PubMed] [Google Scholar]
146.Aslaner R, Pekcevik Y, Sahin H, Toka O. Variations in the origin of inferior phrenic arteries and their relationship to celiac axis variations on CT angiography. Korean J Radiol. 2017;18:336–344. doi: 10.3348/kjr.2017.18.2.336. [DOI] [PMC free article] [PubMed] [Google Scholar]
147.Semionov A, Kosiuk J, Ajlan A, Discepola F. Imaging of thoracic wall abnormalities. Korean J Radiol. 2019;20:1441–1453. doi: 10.3348/kjr.2019.0181. [DOI] [PMC free article] [PubMed] [Google Scholar]
148.Lee JW, Park CH, Lee SM, Jeong M, Hur J. Planting seeds into the lung: image-guided percutaneous localization to guide minimally invasive thoracic surgery. Korean J Radiol. 2019;20:1498–1514. doi: 10.3348/kjr.2019.0155. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B1] 1.Park S, Lee SM, Do KH, Lee JG, Bae W, Park H, et al. Deep learning algorithm for reducing CT slice thickness: effect on reproducibility of radiomic features in lung cancer. Korean J Radiol. 2019;20:1431–1440. doi: 10.3348/kjr.2019.0212. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B2] 2.Kim DW, Jang HY, Kim KW, Shin Y, Park SH. Design characteristics of studies reporting the performance of artificial intelligence algorithms for diagnostic analysis of medical images: results from recently published papers. Korean J Radiol. 2019;20:405–410. doi: 10.3348/kjr.2019.0025. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B3] 3.Choi JS, Han BK, Ko ES, Bae JM, Ko EY, Song SH, et al. Effect of a deep learning framework-based computeraided diagnosis system on the diagnostic performance of radiologists in differentiating between malignant and benign masses on breast ultrasonography. Korean J Radiol. 2019;20:749–758. doi: 10.3348/kjr.2018.0530. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B4] 4.Yoo YJ, Ha EJ, Cho YJ, Kim HL, Han M, Kang SY. Computer-aided diagnosis of thyroid nodules via ultrasonography: initial clinical experience. Korean J Radiol. 2018;19:665–672. doi: 10.3348/kjr.2018.19.4.665. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B5] 5.Ahn SY, Chae KJ, Goo JM. The potential role of grid-like software in bedside chest radiography in improving image quality and dose reduction: an observer preference study. Korean J Radiol. 2018;19:526–533. doi: 10.3348/kjr.2018.19.3.526. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B6] 6.Lee JG, Jun S, Cho YW, Lee H, Kim GB, Seo JB, et al. Deep Learning in medical imaging: general overview. Korean J Radiol. 2017;18:570–584. doi: 10.3348/kjr.2017.18.4.570. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B7] 7.Hong J. Medical Augmented Reality and Virtual Reality. J Korean Soc Radiol. 2019;80:226–238. [Google Scholar]

[B8] 8.Kim JH. Imaging informatics: a new horizon for radiology in the era of artificial intelligence, big data, and data science. J Korean Soc Radiol. 2019;80:176–201. [Google Scholar]

[B9] 9.Weikert T, Cyriac J, Yang S, Nesic I, Parmar V, Stieltjes B. A practical guide to artificial intelligence-based image analysis in radiology. Invest Radiol. 2020;55:1–7. doi: 10.1097/RLI.0000000000000600. [DOI] [PubMed] [Google Scholar]

[B10] 10.Nensa F, Demircioglu A, Rischpler C. Artificial intelligence in nuclear medicine. J Nucl Med. 2019;60(Suppl 2):29S–37S. doi: 10.2967/jnumed.118.220590. [DOI] [PubMed] [Google Scholar]

[B11] 11.Martín Noguerol T, Paulano-Godino F, Martín-Valdivia MT, Menias CO, Luna A. Strengths, weaknesses, opportunities, and threats analysis of artificial intelligence and machine learning applications in radiology. J Am Coll Radiol. 2019;16(9 Pt B):1239–1247. doi: 10.1016/j.jacr.2019.05.047. [DOI] [PubMed] [Google Scholar]

[B12] 12.Geras KJ, Mann RM, Moy L. Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives. Radiology. 2019;293:246–259. doi: 10.1148/radiol.2019182627. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B13] 13.Kim H, Jung DC, Choi BW. Exploiting the vulnerability of deep learning-based artificial intelligence models in medical imaging: adversarial attacks. J Korean Soc Radiol. 2019;80:259–273. [Google Scholar]

[B14] 14.Song KD, Kim M, Do S. The latest trends in the use of deep learning in radiology illustrated through the stages of deep learning algorithm development. J Korean Soc Radiol. 2019;80:202–212. [Google Scholar]

[B15] 15.Park YW, Choi YS, Ahn SS, Chang JH, Kim SH, Lee SK. Radiomics MRI phenotyping with machine learning to predict the grade of lower-grade gliomas: a study focused on nonenhancing tumors. Korean J Radiol. 2019;20:1381–1389. doi: 10.3348/kjr.2018.0814. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B16] 16.Park JE, Park SY, Kim HJ, Kim HS. Reproducibility and generalizability in radiomics modeling: possible strategies in radiologic and statistical perspectives. Korean J Radiol. 2019;20:1124–1137. doi: 10.3348/kjr.2018.0070. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B17] 17.Lee M, Woo B, Kuo MD, Jamshidi N, Kim JH. Quality of radiomic features in glioblastoma multiforme: impact of semi-automated tumor segmentation software. Korean J Radiol. 2017;18:498–509. doi: 10.3348/kjr.2017.18.3.498. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B18] 18.Koh J, Kim MJ. Introduction of a new staging system of breast cancer for radiologists: an emphasis on the prognostic stage. Korean J Radiol. 2019;20:69–82. doi: 10.3348/kjr.2018.0231. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B19] 19.Kim TH, Yoon JH, Lee JM. Emerging role of hepatobiliary magnetic resonance contrast media and contrast-enhanced ultrasound for noninvasive diagnosis of hepatocellular carcinoma: emphasis on recent updates in major guidelines. Korean J Radiol. 2019;20:863–879. doi: 10.3348/kjr.2018.0450. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B20] 20.Kim BM, Park KY, Lee JW, Chung J, Kim DJ, Kim DI. A newly-developed flow diverter (FloWise) for internal carotid artery aneurysm: results of a pilot clinical study. Korean J Radiol. 2019;20:505–512. doi: 10.3348/kjr.2018.0421. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B21] 21.Joo I, Kim SY, Park HS, Lee ES, Kang HJ, Lee JM. Validation of a new point shear-wave elastography method for noninvasive assessment of liver fibrosis: a prospective multicenter study. Korean J Radiol. 2019;20:1527–1535. doi: 10.3348/kjr.2019.0109. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B22] 22.Choe J, Kim KW, Kim HJ, Kim DW, Kim KP, Hong SM, et al. What is new in the 2017 World Health Organization classification and 8th American Joint Committee on Cancer staging system for pancreatic neuroendocrine neoplasms? Korean J Radiol. 2019;20:5–17. doi: 10.3348/kjr.2018.0040. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B23] 23.Venderink W, Jenniskens SF, Michiel Sedelaar JP, Tamada T, Fütterer JJ. Yield of repeat targeted direct in-bore magnetic resonance-guided prostate biopsy (MRGB) of the same lesions in men having a prior negative targeted MRGB. Korean J Radiol. 2018;19:733–741. doi: 10.3348/kjr.2018.19.4.733. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B24] 24.Lee DH, Lee JM. Recent advances in the image-guided tumor ablation of liver malignancies: radiofrequency ablation with multiple electrodes, real-time multimodality fusion imaging, and new energy sources. Korean J Radiol. 2018;19:545–559. doi: 10.3348/kjr.2018.19.4.545. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B25] 25.Kang Y, Lee E, Lee JW, Kim SR, Kang MJ, Choi YW, et al. Effect of poly(lactide-co-glycolide) nanoparticles on local retention of fluorescent material: an experimental study in mice. Korean J Radiol. 2018;19:950–956. doi: 10.3348/kjr.2018.19.5.950. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B26] 26.Ahn S, Jung S, Kim JY, Shin JH, Hahn SY, Oh YL. Evaluation of modified core-needle biopsy in the diagnosis of thyroid nodules. Korean J Radiol. 2018;19:656–664. doi: 10.3348/kjr.2018.19.4.656. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B27] 27.O'Neill AC, Jagannathan JP, Ramaiya NH. Evolving cancer classification in the era of personalized medicine: a primer for radiologists. Korean J Radiol. 2017;18:6–17. doi: 10.3348/kjr.2017.18.1.6. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B28] 28.Lim S, Rhim H, Lee MW, Song KD, Kang TW, Kim YS, et al. New radiofrequency device to reduce bleeding after core needle biopsy: experimental study in a porcine liver model. Korean J Radiol. 2017;18:173–179. doi: 10.3348/kjr.2017.18.1.173. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B29] 29.Kim PK, Hong YJ, Im DJ, Suh YJ, Park CH, Kim JY, et al. Myocardial T1 and T2 mapping: techniques and clinical applications. Korean J Radiol. 2017;18:113–131. doi: 10.3348/kjr.2017.18.1.113. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B30] 30.Goo HW, Goo JM. Dual-energy CT: new horizon in medical imaging. Korean J Radiol. 2017;18:555–569. doi: 10.3348/kjr.2017.18.4.555. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B31] 31.ASCI Practice Guideline Working Group. Kim JA, Choe YH, Hian SK, Hoe J, Hong YJ, et al. 2017 multimodality appropriate use criteria for noninvasive cardiac imaging: expert consensus of the Asian Society of Cardiovascular Imaging. Korean J Radiol. 2017;18:871–880. doi: 10.3348/kjr.2017.18.6.871. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B32] 32.Baheti AD, Jagannathan JP, O'Neill A, Tirumani H, Tirumani SH. Current concepts in non-gastrointestinal stromal tumor soft tissue sarcomas: a primer for radiologists. Korean J Radiol. 2017;18:94–106. doi: 10.3348/kjr.2017.18.1.94. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B33] 33.Kim M, Kim HS. Emerging techniques in brain tumor imaging: what radiologists need to know. Korean J Radiol. 2016;17:598–619. doi: 10.3348/kjr.2016.17.5.598. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B34] 34.Yoo HJ, Lee JS, Lee JM. Integrated whole body MR/PET: where are we? Korean J Radiol. 2015;16:32–49. doi: 10.3348/kjr.2015.16.1.32. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B35] 35.Lee K, Shin Y, Huh J, Sung YS, Lee IS, Yoon KH, et al. Recent issues on body composition imaging for sarcopenia evaluation. Korean J Radiol. 2019;20:205–217. doi: 10.3348/kjr.2018.0479. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B36] 36.Kim TM, Choi YH, Cheon JE, Kim WS, Kim IO, Park JE, et al. Optimal kiloelectron volt for noise-optimized virtual monoenergetic images of dual-energy pediatric abdominopelvic computed tomography: preliminary results. Korean J Radiol. 2019;20:283–294. doi: 10.3348/kjr.2017.0507. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B37] 37.Hendriks BMF, Schnerr RS, Milanese G, Jeukens CRLPN, Niesen S, Eijsvoogel NG, et al. Computed tomography pulmonary angiography during pregnancy: radiation dose of commonly used protocols and the effect of scan length optimization. Korean J Radiol. 2019;20:313–322. doi: 10.3348/kjr.2017.0779. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B38] 38.Yin XP, Gao BL, Li CY, Zhou H, Zhao L, Zheng YT, et al. Optimal monochromatic imaging of spectral computed tomography potentially improves the quality of hepatic vascular imaging. Korean J Radiol. 2018;19:578–584. doi: 10.3348/kjr.2018.19.4.578. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B39] 39.Liu G, Li M, Li G, Li Z, Liu A, Pu R, et al. Assessing the blood supply status of the focal ground-glass opacity in lungs using spectral computed tomography. Korean J Radiol. 2018;19:130–138. doi: 10.3348/kjr.2018.19.1.130. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B40] 40.Kim YS, Kim SH, Ryu HS, Han JK. Iodine quantification on spectral detector-based dual-energy CT enterography: correlation with Crohn's disease activity index and external validation. Korean J Radiol. 2018;19:1077–1088. doi: 10.3348/kjr.2018.19.6.1077. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B41] 41.Xing Y, Zhao Y, Guo N, Pan CX, Azati G, Wang YW, et al. Effect of a novel intracycle motion correction algorithm on dual-energy spectral coronary CT angiography: a study with pulsating coronary artery phantom at high heart rates. Korean J Radiol. 2017;18:881–887. doi: 10.3348/kjr.2017.18.6.881. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B42] 42.Chung HW, Ko SM, Hwang HK, So Y, Yi JG, Lee EJ. Diagnostic performance of coronary CT angiography, stress dual-energy CT perfusion, and stress perfusion single-photon emission computed tomography for coronary artery disease: comparison with combined invasive coronary angiography and stress perfusion cardiac MRI. Korean J Radiol. 2017;18:476–486. doi: 10.3348/kjr.2017.18.3.476. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B43] 43.Thacker PG, Lee EY. Advances in multidetector CT diagnosis of pediatric pulmonary thromboembolism. Korean J Radiol. 2016;17:198–208. doi: 10.3348/kjr.2016.17.2.198. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B44] 44.Song I, Yi JG, Park JH, Kim SM, Lee KS, Chung MJ. Virtual non-contrast CT using dual-energy spectral CT: feasibility of coronary artery calcium scoring. Korean J Radiol. 2016;17:321–329. doi: 10.3348/kjr.2016.17.3.321. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B45] 45.Lee KH, Lee KW, Park JH, Han K, Kim J, Lee SM, et al. Nodule classification on low-dose unenhanced CT and standarddose enhanced CT: inter-protocol agreement and analysis of interchangeability. Korean J Radiol. 2018;19:516–525. doi: 10.3348/kjr.2018.19.3.516. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B46] 46.Lee KB, Goo HW. Quantitative image quality and histogram-based evaluations of an iterative reconstruction algorithm at low-to-ultralow radiation dose levels: a phantom study in chest CT. Korean J Radiol. 2018;19:119–129. doi: 10.3348/kjr.2018.19.1.119. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B47] 47.Goo HW. Is it better to enter a volume CT dose index value before or after scan range adjustment for radiation dose optimization of pediatric cardiothoracic CT with tube current modulation? Korean J Radiol. 2018;19:692–703. doi: 10.3348/kjr.2018.19.4.692. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B48] 48.Kim DJ, Park MK, Jung DE, Kang JH, Kim BM. Radiation dose reduction without compromise to image quality by alterations of filtration and focal spot size in cerebral angiography. Korean J Radiol. 2017;18:722–728. doi: 10.3348/kjr.2017.18.4.722. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B49] 49.Oh SW, Cheon GJ. Prostate-specific membrane antigen PET imaging in prostate cancer: opportunities and challenges. Korean J Radiol. 2018;19:819–831. doi: 10.3348/kjr.2018.19.5.819. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B50] 50.Becker AS, Perucho JA, Wurnig MC, Boss A, Ghafoor S, Khong PL, et al. Assessment of cervical cancer with a parameter-free intravoxel incoherent motion imaging algorithm. Korean J Radiol. 2017;18:510–518. doi: 10.3348/kjr.2017.18.3.510. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B51] 51.Kim PH, Choi SH, Kim JH, Park SH. Comparison of radioembolization and sorafenib for the treatment of hepatocellular carcinoma with portal vein tumor thrombosis: a systematic review and meta-analysis of safety and efficacy. Korean J Radiol. 2019;20:385–398. doi: 10.3348/kjr.2018.0496. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B52] 52.Kim DW, Suh CH, Kim KW, Pyo J, Park C, Jung SC. Technical performance of two-dimensional shear wave elastography for measuring liver stiffness: a systematic review and metaanalysis. Korean J Radiol. 2019;20:880–893. doi: 10.3348/kjr.2018.0812. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B53] 53.Chung SR, Choi YJ, Suh CH, Lee JH, Baek JH. Diffusionweighted magnetic resonance imaging for predicting response to chemoradiation therapy for head and neck squamous cell carcinoma: a systematic review. Korean J Radiol. 2019;20:649–661. doi: 10.3348/kjr.2018.0446. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B54] 54.Wang WD, Zhang LH, Ni JY, Jiang XY, Chen D, Chen YT, et al. Radiofrequency ablation combined with transcatheter arterial chemoembolization therapy versus surgical resection for hepatocellular carcinoma within the Milan criteria: a meta-analysis. Korean J Radiol. 2018;19:613–622. doi: 10.3348/kjr.2018.19.4.613. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B55] 55.Choi SH, Kim JW, Kim JH, Kim KW. Efficacy and safety of microwave ablation for malignant renal tumors: an updated systematic review and meta-analysis of the literature since 2012. Korean J Radiol. 2018;19:938–949. doi: 10.3348/kjr.2018.19.5.938. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B56] 56.Zhu ZX, Liao MH, Wang XX, Huang JW. Transcatheter arterial chemoembolization plus 131I-labelled metuximab versus transcatheter arterial chemoembolization alone in intermediate/advanced stage hepatocellular carcinoma: a systematic review and meta-analysis. Korean J Radiol. 2016;17:882–892. doi: 10.3348/kjr.2016.17.6.882. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B57] 57.Wang X, Hu Y, Ren M, Lu X, Lu G, He S. Efficacy and safety of radiofrequency ablation combined with transcatheter arterial chemoembolization for hepatocellular carcinomas compared with radiofrequency ablation alone: a time-to-event meta-analysis. Korean J Radiol. 2016;17:93–102. doi: 10.3348/kjr.2016.17.1.93. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B58] 58.Suh CH, Park SH. Successful publication of systematic review and meta-analysis of studies evaluating diagnostic test accuracy. Korean J Radiol. 2016;17:5–6. doi: 10.3348/kjr.2016.17.1.5. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B59] 59.Lee J, Kim KW, Choi SH, Huh J, Park SH. Systematic review and meta-analysis of studies evaluating diagnostic test accuracy: a practical review for clinical researchers-Part II. Statistical methods of meta-analysis. Korean J Radiol. 2015;16:1188–1196. doi: 10.3348/kjr.2015.16.6.1188. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B60] 60.Kim KW, Lee J, Choi SH, Huh J, Park SH. Systematic review and meta-analysis of studies evaluating diagnostic test accuracy: a practical review for clinical researchers-Part I. General guidance and tips. Korean J Radiol. 2015;16:1175–1187. doi: 10.3348/kjr.2015.16.6.1175. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B61] 61.Lee JW, Hur JH, Yang DH, Lee BY, Im DJ, Hong SJ, et al. Guidelines for cardiovascular magnetic resonance imaging from the Korean Society of Cardiovascular Imaging-Part 2: interpretation of cine, flow, and angiography data. Korean J Radiol. 2019;20:1477–1490. doi: 10.3348/kjr.2019.0407. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B62] 62.Lee JH, Ha EJ, Baek JH, Choi M, Jung SE, Yong HS. Implementation of Korean clinical imaging guidelines: a mobile app-based decision support system. Korean J Radiol. 2019;20:182–189. doi: 10.3348/kjr.2018.0621. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B63] 63.Lee GY, Hwang JY, Kim NR, Kang Y, Choi M, Kim J, et al. Primary imaging test for suspected traumatic thoracolumbar spine injury: 2017 guidelines by the Korean Society of Radiology and National Evidence-Based Healthcare Collaborating Agency. Korean J Radiol. 2019;20:909–915. doi: 10.3348/kjr.2018.0792. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B64] 64.Jo Y, Kim J, Park CH, Lee JW, Hur JH, Yang DH, et al. Guideline for cardiovascular magnetic resonance imaging from the Korean Society of Cardiovascular Imaging-Part 1: standardized protocol. Korean J Radiol. 2019;20:1313–1333. doi: 10.3348/kjr.2019.0398. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B65] 65.Hong SH, Goo HW, Maeda E, Choo KS, Tsai IC Asian Society of Cardiovascular Imaging Congenital Heart Disease Study Group. User-friendly vendor-specific guideline for pediatric cardiothoracic computed tomography provided by the Asian Society of Cardiovascular Imaging Congenital Heart Disease Study Group: part 1. Imaging techniques. Korean J Radiol. 2019;20:190–204. doi: 10.3348/kjr.2018.0571. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B66] 66.Han S, Yoon SH, Lee W, Choi YH, Kang DY, Kang HR. Management of adverse reactions to iodinated contrast media for computed tomography in Korean referral hospitals: a survey investigation. Korean J Radiol. 2019;20:148–157. doi: 10.3348/kjr.2017.0771. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B67] 67.Hahn SY, Shin JH, Na DG, Ha EJ, Ahn HS, Lim HK, et al. Korean Society of Thyroid Radiology (KSThR); Korean Society of Radiology. Ethanol ablation of the thyroid nodules: 2018 consensus statement by the Korean Society of Thyroid Radiology. Korean J Radiol. 2019;20:609–620. doi: 10.3348/kjr.2018.0696. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B68] 68.Korean Liver Cancer Association (KLCA); National Cancer Center (NCC) 2018 Korean Liver Cancer Association-National Cancer Center Korea practice guidelines for the management of hepatocellular carcinoma. Korean J Radiol. 2019;20:1042–1113. doi: 10.3348/kjr.2019.0140. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B69] 69.Kim JH, Baek JH, Lim HK, Ahn HS, Baek SM, Choi YJ, et al. Guideline Committee for the Korean Society of Thyroid Radiology (KSThR) and Korean Society of Radiology. 2017 Thyroid Radiofrequency Ablation guideline: Korean Society of Thyroid Radiology. Korean J Radiol. 2018;19:632–655. doi: 10.3348/kjr.2018.19.4.632. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B70] 70.Kang MJ, Kim JH, Kim YK, Lee HJ, Shin KM, Kim JI, et al. 2018 Korean clinical imaging guideline for hemoptysis. Korean J Radiol. 2018;19:866–871. doi: 10.3348/kjr.2018.19.5.866. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B71] 71.Ha EJ, Lim HK, Yoon JH, Baek JH, Do KH, Choi M, et al. Korean Society of Thyroid Radiology (KSThR) and Korean Society of Radiology. Primary imaging test and appropriate biopsy methods for thyroid nodules: guidelines by Korean Society of Radiology and National Evidence-Based Healthcare Collaborating Agency. Korean J Radiol. 2018;19:623–663. doi: 10.3348/kjr.2018.19.4.623. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B72] 72.Cheng KL, Lin WC. RE: 2017 Thyroid Radiofrequency Ablation guideline: the Korean Society of Thyroid Radiology. Korean J Radiol. 2018;19:1196–1197. doi: 10.3348/kjr.2018.19.6.1196. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B73] 73.Choi SJ, Jeong WK, Jo AJ, Choi JA, Kim MJ, Lee M, et al. Methodology for developing evidence-based clinical imaging guidelines: joint recommendations by Korean Society of Radiology and National Evidence-Based Healthcare Collaborating Agency. Korean J Radiol. 2017;18:208–216. doi: 10.3348/kjr.2017.18.1.208. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B74] 74.KSAR Study Group for Rectal Cancer. Essential items for structured reporting of rectal cancer MRI: 2016 consensus recommendation from the Korean Society of Abdominal Radiology. Korean J Radiol. 2017;18:132–151. doi: 10.3348/kjr.2017.18.1.132. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B75] 75.Yoon JH, Park JW, Lee JM. Noninvasive diagnosis of hepatocellular carcinoma: elaboration on Korean Liver Cancer Study Group-National Cancer Center Korea practice guidelines compared with other guidelines and remaining issues. Korean J Radiol. 2016;17:7–24. doi: 10.3348/kjr.2016.17.1.7. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B76] 76.Kim YJ, Yong HS, Kim SM, Kim JA, Yang DH, Hong YJ Korean Society of Radiology; Korean Society of Cardiology. Korean guidelines for the appropriate use of cardiac CT. Korean J Radiol. 2015;16:251–285. doi: 10.3348/kjr.2015.16.2.251. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B77] 77.Kim YH, Bae JI, Jeon YS, Kim CW, Jae HJ, Park KB, et al. Korean guidelines for interventional recanalization of lower extremity arteries. Korean J Radiol. 2015;16:696–722. doi: 10.3348/kjr.2015.16.4.696. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B78] 78.Korean Liver Cancer Study Group (KLCSG); National Cancer Center, Korea (NCC) 2014 Korean Liver Cancer Study Group-National Cancer Center Korea practice guideline for the management of hepatocellular carcinoma. Korean J Radiol. 2015;16:465–522. doi: 10.3348/kjr.2015.16.3.465. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B79] 79.Yoon YE, Hong YJ, Kim HK, Kim JA, Na JO, Yang DH, et al. 2014 Korean guidelines for appropriate utilization of cardiovascular magnetic resonance imaging: a joint report of the Korean Society of Cardiology and the Korean Society of Radiology. Korean J Radiol. 2014;15:659–688. doi: 10.3348/kjr.2014.15.6.659. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B80] 80.Kim DH, Kim B, Jung C, Nam HS, Lee JS, Kim JW, et al. Consensus statements by Korean Society of Interventional Neuroradiology and Korean Stroke Society: hyperacute endovascular treatment workflow to reduce door-to-reperfusion time. Korean J Radiol. 2018;19:838–848. doi: 10.3348/kjr.2018.19.5.838. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B81] 81.Na DG, Baek JH, Jung SL, Kim JH, Sung JY, Kim KS, et al. Korean Society of Thyroid Radiology (KSThR) and Korean Society of Radiology. Core needle biopsy of the thyroid: 2016 consensus statement and recommendations from Korean Society of Thyroid Radiology. Korean J Radiol. 2017;18:217–237. doi: 10.3348/kjr.2017.18.1.217. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B82] 82.Shin JH, Baek JH, Chung J, Ha EJ, Kim JH, Lee YH, et al. Korean Society of Thyroid Radiology (KSThR) and Korean Society of Radiology. Ultrasonography diagnosis and imaging-based management of thyroid nodules: revised Korean Society of Thyroid Radiology consensus statement and recommendations. Korean J Radiol. 2016;17:370–395. doi: 10.3348/kjr.2016.17.3.370. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B83] 83.Lee JW, Hur JH, Yang DH, Lee BY, Im DJ, Hong SJ, et al. Guidelines for Cardiovascular Magnetic Resonance Imaging from the Korean Society of Cardiovascular Imaging—Part 2: Interpretation of Cine, Flow, and Angiography Data. Cardiovasc Imaging Asia. 2019;3:113–124. doi: 10.3348/kjr.2019.0407. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B84] 84.Jo Y, Kim J, Park CH, Lee JW, Hur JH, Yang DH, et al. Guideline for cardiovascular magnetic resonance imaging from the Korean Society of Cardiovascular Imaging—Part 1: standardized protocol. Cardiovasc Imaging Asia. 2019;3:74–92. doi: 10.3348/kjr.2019.0398. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B85] 85.Yun SJ, Jin W, Cho NS, Ryu KN, Yoon YC, Cha JG, et al. Shear-wave and strain ultrasound elastography of the supraspinatus and infraspinatus tendons in patients with idiopathic adhesive capsulitis of the shoulder: a prospective case-control study. Korean J Radiol. 2019;20:1176–1185. doi: 10.3348/kjr.2018.0918. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B86] 86.Park SB, Kim MJ, Ko Y, Sim JY, Kim HJ, Lee KH. Structured reporting versus free-text reporting for appendiceal computed tomography in adolescents and young adults: preference survey of 594 referring physicians, surgeons, and radiologists from 20 hospitals. Korean J Radiol. 2019;20:246–255. doi: 10.3348/kjr.2018.0109. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B87] 87.Park J, Kim HK, Park EA, Park JB, Lee SP, Lee W, et al. Coronary computed tomography angiography for the diagnosis of vasospastic angina: comparison with invasive coronary angiography and ergonovine provocation test. Korean J Radiol. 2019;20:719–728. doi: 10.3348/kjr.2018.0847. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B88] 88.Park AY, Kwon M, Woo OH, Cho KR, Park EK, Cha SH, et al. A prospective study on the value of ultrasound microflow assessment to distinguish malignant from benign solid breast masses: association between ultrasound parameters and histologic microvessel densities. Korean J Radiol. 2019;20:759–772. doi: 10.3348/kjr.2018.0515. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B89] 89.Li T, Tang T, Yang L, Zhang X, Li X, Luo C. Coronary CT angiography with knowledge-based iterative model reconstruction for assessing coronary arteries and non-calcified predominant plaques. Korean J Radiol. 2019;20:729–738. doi: 10.3348/kjr.2018.0435. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B90] 90.Ko ES, Morris EA. Abbreviated magnetic resonance imaging for breast cancer screening: concept, early results, and considerations. Korean J Radiol. 2019;20:533–541. doi: 10.3348/kjr.2018.0722. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B91] 91.Kang TW, Lee MW, Cha DI, Park HJ, Park JS, Bang WC, et al. Usefulness of virtual expiratory CT images to compensate for respiratory liver motion in ultrasound/CT image fusion: a prospective study in patients with focal hepatic lesions. Korean J Radiol. 2019;20:225–235. doi: 10.3348/kjr.2018.0320. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B92] 92.Kang HJ, Lee JM, Jeon SK, Ryu H, Yoo J, Lee JK, et al. Microvascular flow imaging of residual or recurrent hepatocellular carcinoma after transarterial chemoembolization: comparison with color/power doppler imaging. Korean J Radiol. 2019;20:1114–1123. doi: 10.3348/kjr.2018.0932. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B93] 93.Joo I, Kim SH, Lee DH, Han JK. Dynamic contrast-enhanced ultrasound of gastric cancer: correlation with perfusion CT and histopathology. Korean J Radiol. 2019;20:781–790. doi: 10.3348/kjr.2018.0273. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B94] 94.Chung SR, Baek JH, Choi YJ, Sung TY, Song DE, Kim TY, et al. The role of core needle biopsy for the evaluation of thyroid nodules with suspicious ultrasound features. Korean J Radiol. 2019;20:158–165. doi: 10.3348/kjr.2018.0101. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B95] 95.Zheng L, Li HL, Guo CY, Luo SX. Comparison of the efficacy and prognostic factors of transarterial chemoembolization plus microwave ablation versus transarterial chemoembolization alone in patients with a large solitary or multinodular hepatocellular carcinomas. Korean J Radiol. 2018;19:237–246. doi: 10.3348/kjr.2018.19.2.237. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B96] 96.Yoon JH, Lee JM, Klotz E, Woo H, Yu MH, Joo I, et al. Prediction of local tumor progression after radiofrequency ablation (RFA) of hepatocellular carcinoma by assessment of ablative margin using pre-RFA MRI and post-RFA CT registration. Korean J Radiol. 2018;19:1053–1065. doi: 10.3348/kjr.2018.19.6.1053. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B97] 97.Park CJ, Kim KW, Lee HJ, Kim MJ, Kim J. Contrast-enhanced CT with knowledge-based iterative model reconstruction for the evaluation of parotid gland tumors: a feasibility study. Korean J Radiol. 2018;19:957–964. doi: 10.3348/kjr.2018.19.5.957. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B98] 98.Oddo S, Felix E, Mussap M, Giusti M. Quality of life in patients treated with percutaneous laser ablation for non-functioning benign thyroid nodules: a prospective single-center study. Korean J Radiol. 2018;19:175–184. doi: 10.3348/kjr.2018.19.1.175. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B99] 99.Min J, Park M, Choi JW, Jahng GH, Moon WJ. Inter-vendor and inter-session reliability of diffusion tensor imaging: implications for multicenter clinical imaging studies. Korean J Radiol. 2018;19:777–782. doi: 10.3348/kjr.2018.19.4.777. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B100] 100.Lee GY, Lee JW, Yeom JS, Kim KJ, Shin HI, Kang HS. The incidence of various types of systemic reactions related to epidural steroid injections: a prospective observational study. Korean J Radiol. 2018;19:301–310. doi: 10.3348/kjr.2018.19.2.301. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B101] 101.Kim Y, Kim SH, Song BJ, Kang BJ, Yim KI, Lee A, et al. Early prediction of response to neoadjuvant chemotherapy using dynamic contrast-enhanced MRI and ultrasound in breast cancer. Korean J Radiol. 2018;19:682–691. doi: 10.3348/kjr.2018.19.4.682. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B102] 102.Kim SY, Cho JY, Lee J, Hwang SI, Moon MH, Lee EJ, et al. Low-tube-voltage CT urography using low-concentration-iodine contrast media and iterative reconstruction: a multi-institutional randomized controlled trial for comparison with conventional CT urography. Korean J Radiol. 2018;19:1119–1129. doi: 10.3348/kjr.2018.19.6.1119. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B103] 103.Kim JW, Hong B, Shin JH, Park J, Kim JH, Gwon DI, et al. A prospective randomized comparison of a covered metallic ureteral stent and a double-J stent for malignant ureteral obstruction. Korean J Radiol. 2018;19:606–612. doi: 10.3348/kjr.2018.19.4.606. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B104] 104.Jung SL, Baek JH, Lee JH, Shong YK, Sung JY, Kim KS, et al. Efficacy and safety of radiofrequency ablation for benign thyroid nodules: a prospective multicenter study. Korean J Radiol. 2018;19:167–174. doi: 10.3348/kjr.2018.19.1.167. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B105] 105.Hahn SY, Shin JH, Ko EY, Bae JM, Choi JS, Park KW. Complementary role of elastography using carotid artery pulsation in the ultrasonographic assessment of thyroid nodules: a prospective study. Korean J Radiol. 2018;19:992–999. doi: 10.3348/kjr.2018.19.5.992. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B106] 106.Gwon DI, Ko GY, Kim JW, Ko HK, Yoon HK, Sung KB. Double-stent system with long duodenal extension for palliative treatment of malignant extrahepatic biliary obstructions: a prospective study. Korean J Radiol. 2018;19:230–236. doi: 10.3348/kjr.2018.19.2.230. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B107] 107.Goo HW. Image quality and radiation dose of high-pitch dual-source spiral cardiothoracic computed tomography in young children with congenital heart disease: comparison of non-electrocardiography synchronization and prospective electrocardiography triggering. Korean J Radiol. 2018;19:1031–1041. doi: 10.3348/kjr.2018.19.6.1031. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B108] 108.Di Q. RE: efficacy and safety of radiofrequency ablation for benign thyroid nodules: a prospective multicenter study. Korean J Radiol. 2018;19:542–543. doi: 10.3348/kjr.2018.19.3.542. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B109] 109.Xie S, Li Q, Cheng Y, Zhang Y, Zhuo Z, Zhao G, et al. Impact of liver fibrosis and fatty liver on T1rho measurements: a prospective study. Korean J Radiol. 2017;18:898–905. doi: 10.3348/kjr.2017.18.6.898. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B110] 110.Min ZG, Niu C, Zhang QL, Zhang M, Qian YC. Optimal factors of diffusion tensor imaging predicting corticospinal tract injury in patients with brain tumors. Korean J Radiol. 2017;18:844–851. doi: 10.3348/kjr.2017.18.5.844. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B111] 111.Kim YP, Haam SJ, Lee S, Lee GD, Joo SM, Yum TJ, et al. Effectiveness of ambulatory tru-close thoracic vent for the outpatient management of pneumothorax: a prospective pilot study. Korean J Radiol. 2017;18:519–525. doi: 10.3348/kjr.2017.18.3.519. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B112] 112.Huh J, Kim KJ, Park SH, Park SH, Yang SK, Ye BD, et al. Diffusion-weighted MR enterography to monitor bowel inflammation after medical therapy in Crohn's disease: a prospective longitudinal study. Korean J Radiol. 2017;18:162–172. doi: 10.3348/kjr.2017.18.1.162. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B113] 113.Feng R, Tong J, Liu X, Zhao Y, Zhang L. High-pitch coronary CT angiography at 70 kVp adopting a protocol of low injection speed and low volume of contrast medium. Korean J Radiol. 2017;18:763–772. doi: 10.3348/kjr.2017.18.5.763. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B114] 114.Ahn SJ, Lee JM, Chang W, Lee SM, Kang HJ, Yang H, et al. Prospective validation of intra- and interobserver reproducibility of a new point shear wave elastographic technique for assessing liver stiffness in patients with chronic liver disease. Korean J Radiol. 2017;18:926–935. doi: 10.3348/kjr.2017.18.6.926. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B115] 115.Yoon SH, Park CM, Lee KH, Lim KY, Suh YJ, Im DJ, et al. Analysis of complications of percutaneous transthoracic needle biopsy using CT-guidance modalities in a multicenter cohort of 10568 biopsies. Korean J Radiol. 2019;20:323–331. doi: 10.3348/kjr.2018.0064. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B116] 116.Lee KH, Lim KY, Suh YJ, Hur J, Han DH, Kang MJ, et al. Diagnostic accuracy of percutaneous transthoracic needle lung biopsies: a multicenter study. Korean J Radiol. 2019;20:1300–1310. doi: 10.3348/kjr.2019.0189. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B117] 117.Kim H, Beck KS, Choe YH, Jung JI. Coronary-to-pulmonary artery fistula in adults: natural history and management strategies. Korean J Radiol. 2019;20:1491–1497. doi: 10.3348/kjr.2019.0331. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B118] 118.Moon SH, Choi WH, Yoo IR, Lee SJ, Paeng JC, Jeong SY, et al. Prognostic value of baseline 18F-fluorodeoxyglucose PET/CT in patients with multiple myeloma: a multicenter cohort study. Korean J Radiol. 2018;19:481–488. doi: 10.3348/kjr.2018.19.3.481. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B119] 119.Hong MJ, Na DG, Baek JH, Sung JY, Kim JH. Impact of nodule size on malignancy risk differs according to the ultrasonography pattern of thyroid nodules. Korean J Radiol. 2018;19:534–541. doi: 10.3348/kjr.2018.19.3.534. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B120] 120.Park EA, Lee W, Kang DK, Kim SJ, Kim YJ, Kim Y, et al. Comparison of iohexol-380 and iohexol-350 for coronary CT angiography: a multicenter, randomized, double-blind phase 3 trial. Korean J Radiol. 2016;17:330–338. doi: 10.3348/kjr.2016.17.3.330. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B121] 121.Ha EJ, Moon WJ, Na DG, Lee YH, Choi N, Kim SJ, et al. A multicenter prospective validation study for the Korean thyroid imaging reporting and data system in patients with thyroid nodules. Korean J Radiol. 2016;17:811–821. doi: 10.3348/kjr.2016.17.5.811. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B122] 122.Kim SJ, Choi CG, Kim JK, Yun SC, Jahng GH, Jeong HK, et al. Effects of MR parameter changes on the quantification of diffusion anisotropy and apparent diffusion coefficient in diffusion tensor imaging: evaluation using a diffusional anisotropic phantom. Korean J Radiol. 2015;16:297–303. doi: 10.3348/kjr.2015.16.2.297. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B123] 123.Kim DW, Jung SL, Kim J, Ryu JH, Sung JY, Lim HK. Comparison between ultrasonography and computed tomography for detecting the pyramidal lobe of the thyroid gland: a prospective multicenter study. Korean J Radiol. 2015;16:402–409. doi: 10.3348/kjr.2015.16.2.402. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B124] 124.Kwak JY, Jung I, Baek JH, Baek SM, Choi N, Choi YJ, et al. Korean Society of Thyroid Radiology (KSThR); Korean Society of Radiology. Image reporting and characterization system for ultrasound features of thyroid nodules: multicentric Korean retrospective study. Korean J Radiol. 2013;14:110–117. doi: 10.3348/kjr.2013.14.1.110. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B125] 125.Na DG, Lee JH, Jung SL, Kim JH, Sung JY, Shin JH, et al. Korean Society of Thyroid Radiology (KSThR); Korean Society of Radiology. Radiofrequency ablation of benign thyroid nodules and recurrent thyroid cancers: consensus statement and recommendations. Korean J Radiol. 2012;13:117–125. doi: 10.3348/kjr.2012.13.2.117. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B126] 126.Moon WJ, Baek JH, Jung SL, Kim DW, Kim EK, Kim JY, et al. Korean Society of Thyroid Radiology (KSThR); Korean Society of Radiology. Ultrasonography and the ultrasound-based management of thyroid nodules: consensus statement and recommendations. Korean J Radiol. 2011;12:1–14. doi: 10.3348/kjr.2011.12.1.1. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B127] 127.Peña CS, Saini S, Baron RL, Hamm BA, Morana G, Caudana R, et al. Detection of malignant primary hepatic neoplasms with gadobenate dimeglumine (Gd-BOPTA) enhanced T1-weighted hepatocyte phase MR imaging: results of off-site blinded review in a phase-II multicenter trial. Korean J Radiol. 2001;2:210–215. doi: 10.3348/kjr.2001.2.4.210. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B128] 128.Chen SQ, Huang M, Shen YY, Liu CL, Xu CX. Abbreviated MRI protocols for detecting breast cancer in women with dense breasts. Korean J Radiol. 2017;18:470–475. doi: 10.3348/kjr.2017.18.3.470. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B129] 129.Kang TW, Lee MW, Song KD, Kim M, Kim SS, Kim SH, et al. Added value of contrast-enhanced ultrasound on biopsies of focal hepatic lesions invisible on fusion imaging guidance. Korean J Radiol. 2017;18:152–161. doi: 10.3348/kjr.2017.18.1.152. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B130] 130.Goo HW. Comparison of chest pain protocols for electrocardiography-gated dual-source cardiothoracic CT in children and adults: the effect of tube current saturation on radiation dose reduction. Korean J Radiol. 2018;19:23–31. doi: 10.3348/kjr.2018.19.1.23. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B131] 131.Kim SK, Lee KA, Sauk S, Korenblat K. Comparison of transjugular intrahepatic portosystemic shunt with covered stent and balloon-occluded retrograde transvenous obliteration in managing isolated gastric varices. Korean J Radiol. 2017;18:345–354. doi: 10.3348/kjr.2017.18.2.345. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B132] 132.Kim SS, Jin GY, Li YZ, Lee JE, Shin HS. CT quantification of lungs and airways in normal Korean subjects. Korean J Radiol. 2017;18:739–748. doi: 10.3348/kjr.2017.18.4.739. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B133] 133.Korean Society of Abdominal Radiology. Diagnosis of hepatocellular carcinoma with gadoxetic acid-enhanced MRI: 2016 consensus recommendations of the Korean Society of Abdominal Radiology. Korean J Radiol. 2017;18:427–443. doi: 10.3348/kjr.2017.18.3.427. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B134] 134.Shah HJ, Keraliya AR, Jagannathan JP, Tirumani SH, Lele VR, DiPiro PJ. Diffuse large B-cell lymphoma in the era of precision oncology: how imaging is helpful. Korean J Radiol. 2017;18:54–70. doi: 10.3348/kjr.2017.18.1.54. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B135] 135.Seo M, Ryu JK, Jahng GH, Sohn YM, Rhee SJ, Oh JH, et al. Estimation of T2* relaxation time of breast cancer: correlation with clinical, imaging and pathological features. Korean J Radiol. 2017;18:238–248. doi: 10.3348/kjr.2017.18.1.238. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B136] 136.Braschi-Amirfarzan M, Tirumani SH, Hodi FS, Jr, Nishino M. Immune-checkpoint inhibitors in the era of precision medicine: what radiologists should know. Korean J Radiol. 2017;18:42–53. doi: 10.3348/kjr.2017.18.1.42. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B137] 137.Park HS, Baek JH, Choi YJ, Lee JH. Innovative techniques for image-guided ablation of benign thyroid nodules: combined ethanol and radiofrequency ablation. Korean J Radiol. 2017;18:461–469. doi: 10.3348/kjr.2017.18.3.461. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B138] 138.Fütterer JJ. Multiparametric MRI in the detection of clinically significant prostate cancer. Korean J Radiol. 2017;18:597–606. doi: 10.3348/kjr.2017.18.4.597. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B139] 139.Chang W, Lee JM, Lee SM, Han JK. No-touch radiofrequency ablation: a comparison of switching bipolar and switching monopolar ablation in ex vivo bovine liver. Korean J Radiol. 2017;18:279–288. doi: 10.3348/kjr.2017.18.2.279. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B140] 140.Kim HJ, Bang JI, Kim JY, Moon JH, So Y, Lee WW. Novel application of quantitative single-photon emission computed tomography/computed tomography to predict early response to methimazole in Graves' disease. Korean J Radiol. 2017;18:543–550. doi: 10.3348/kjr.2017.18.3.543. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B141] 141.Lee JW, Jeong YJ, Lee G, Lee NK, Lee HW, Kim JY, et al. Predictive value of cardiac magnetic resonance imaging-derived myocardial strain for poor outcomes in patients with acute myocarditis. Korean J Radiol. 2017;18:643–654. doi: 10.3348/kjr.2017.18.4.643. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B142] 142.Lee JW, Kim HY, Goo JM, Kim EY, Lee SJ, Kim TJ, et al. Radiological report of pilot study for the Korean Lung Cancer Screening (K-LUCAS) project: feasibility of implementing lung imaging reporting and data system. Korean J Radiol. 2018;19:803–808. doi: 10.3348/kjr.2018.19.4.803. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B143] 143.Park JE, Han K, Sung YS, Chung MS, Koo HJ, Yoon HM, et al. Selection and reporting of statistical methods to assess reliability of a diagnostic test: conformity to recommended methods in a peer-reviewed journal. Korean J Radiol. 2017;18:888–897. doi: 10.3348/kjr.2017.18.6.888. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B144] 144.Park HS, Baek JH, Park AW, Chung SR, Choi YJ, Lee JH. Thyroid radiofrequency ablation: updates on innovative devices and techniques. Korean J Radiol. 2017;18:615–623. doi: 10.3348/kjr.2017.18.4.615. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B145] 145.Yoon IS, Shin JH, Han K, Kim PN, Kim KH, Kang YK, et al. Ultrasound-guided intraoperative radiofrequency ablation and surgical resection for liver metastasis from malignant gastrointestinal stromal tumors. Korean J Radiol. 2018;19:54–62. doi: 10.3348/kjr.2018.19.1.54. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B146] 146.Aslaner R, Pekcevik Y, Sahin H, Toka O. Variations in the origin of inferior phrenic arteries and their relationship to celiac axis variations on CT angiography. Korean J Radiol. 2017;18:336–344. doi: 10.3348/kjr.2017.18.2.336. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B147] 147.Semionov A, Kosiuk J, Ajlan A, Discepola F. Imaging of thoracic wall abnormalities. Korean J Radiol. 2019;20:1441–1453. doi: 10.3348/kjr.2019.0181. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B148] 148.Lee JW, Park CH, Lee SM, Jeong M, Hur J. Planting seeds into the lung: image-guided percutaneous localization to guide minimally invasive thoracic surgery. Korean J Radiol. 2019;20:1498–1514. doi: 10.3348/kjr.2019.0155. [DOI] [PMC free article] [PubMed] [Google Scholar]

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A Glimpse on Trends and Characteristics of Recent Articles Published in the Korean Journal of Radiology

Yeon Hyeon Choe, MD, PhD

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A Glimpse on Trends and Characteristics of Recent Articles Published in the Korean Journal of Radiology

Yeon Hyeon Choe, MD, PhD

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