Abstract
In 2021, there were 136 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR), including 122 original research papers, six reviews, four technical notes, one Society for Cardiovascular Magnetic Resonance (SCMR) guideline, one SCMR position paper, one study protocol, and one obituary (Nathaniel Reichek). The volume was up 53% from 2020 (n = 89) with a corresponding 21% decrease in manuscript submissions from 435 to 345. This led to an increase in the acceptance rate from 24 to 32%. The quality of the submissions continues to be high. The 2021 JCMR Impact Factor (which is released in June 2022) markedly increased from 5.41 to 6.90 placing us in the top quartile of Society and cardiac imaging journals. Our 5 year impact factor similarly increased from 6.52 to 7.25. Fifteen years ago, the JCMR was at the forefront of medical and medical society journal migration to the Open-Access format. The Open-Access system has dramatically increased the availability and JCMR citation. Full-text article requests in 2021 approached 1.5 M!. As I have mentioned, it takes a village to run a journal. JCMR is very fortunate to have a group of very dedicated Associate Editors, Guest Editors, Journal Club Editors, and Reviewers. I thank each of them for their efforts to ensure that the review process occurs in a timely and responsible manner. These efforts have allowed the JCMR to continue as the premier journal of our field. My role, and the entire editorial process would not be possible without the ongoing high dedication and efforts of our managing editor, Jennifer Rodriguez. Her premier organizational skills have allowed for streamlining of the review process and marked improvement in our time-to-decision (see later). As I conclude my 6th and final year as your editor-in-chief, I thank you for entrusting me with the JCMR editorship and appreciate the time I have had at the helm. I am very confident that our Journal will reach new heights under the stewardship of Dr. Tim Leiner, currently at the Mayo Clinic with a seamless transition occurring as I write this in late November. I hope that you will continue to send your very best, high quality CMR manuscripts to JCMR, and that our readers will continue to look to JCMR for the very best/state-of-the-art CMR publications.
Background
The JCMR is the official publication of the Society for Cardiovascular Magnetic Resonance (SCMR). In 2021, the JCMR published 136 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR), including 122 original research papers, six reviews, four technical notes, one Society for Cardiovascular Magnetic Resonance (SCMR) guideline, one SCMR position paper, one study protocol, and one obituary (Nathaniel Reichek). The 2021 publication volume was up 53% from 2020 (n = 89) with a corresponding 21% decrease in manuscript submissions from 435 to 345. This led to an increase in the acceptance rate from 24 to 32% (the slight mathematical difference in acceptance/submissions is related to submission year and publication year). As might be expected, COVID-19 publications [1–8] and COVID-19 vaccination publications (8) were plentiful, with 8 published in 2021.
In July 2018, the article processing charge (APC) structure changed with SCMR members who are the submitting author paying an APC of only $500, presenting an 82% discount to the full $2680 APC. Reduced APC fees are also available to those from BMC membership institutions, submitting authors from lower income countries, and for those who request a waiver due to financial hardship. APCs are waived for invited reviews and for Society publications.
As for 2020, in 2021, the United States (26%) and China (24%) were the source of 50% of all JCMR publications followed by the United Kingdom (10% and Germany (8%). The top three countries for publications were the United States (31%), United Kingdom (14%) and Germany (10%) (Fig. 1).
Fig. 1.
Pie charts for 2021 Journal of Cardiovascular Magnetic Resonance (JCMR) origin country for (A) submissions and (B) publications
Impact factor
Though only one of many journal metrics and not a consideration in our review process, the Impact Factor calculated by Clarivate Analytics is nonetheless a well-recognized metric with which many readers are familiar and is a metric often considered by both authors and readers for submitting and reading manuscripts. I am pleased to report that the 2021 JCMR Impact Factor (which was released in June 2022 and is based on manuscripts published in 2019 (n = 430) and 2020 (n = 633) that were cited in 2021) increased from 5.41 to 6.90!. This impact factor means that the JCMR papers published in 2019 and 2020 were cited on average 6.90 times in 2021. This puts JCMR well positioned in the top quartile (34/142–previously 37/142) of journals in the broad categories of “Cardiac and Cardiovascular Systems” and the top quintile (21/133–previously 20/133) of “Radiology, Nuclear Medicine and Medical Imaging.” Our 2021 5 year impact factor similarly increased from 6.52 to 7.25. The 2022 JCMR impact factor will be released in June 2023.
Perhaps more important than the Impact Factor is the frequency that JCMR articles are accessed. Our open-access format allows for much greater visibility for our authors with the 2021 JCMR annual digital downloads now approaching 1,500,000!!—a threshold not achievable with a subscription/print publication of a relatively small Society journal. Open-access has “leveled the playing field” so that an electronic search allows JCMR manuscripts to rise to awareness and to then be downloaded without cost. This is a great benefit to our readers, to the greater scientific community, and to our authors. Data analytics provided by our publisher, BMC, indicate that the vast majority (72%) of on line manuscript searches are identified from a Google, 9% directly from the JCMR web site, 4% from Pubmed. The largest number of searches are from Europe (38%) followed by the United States (28%).
JCMR editor-in-chief leadership
Dr. Gerald Pohost (Fig. 2) from the University of Alabama at Birmingham and University of Southern California, Los Angeles, CA, USA was the JCMR inaugural editor-in-chief (1999). During his tenure, the JCMR was published in print format by Marcel Dekker, Inc (Fig. 2). In 2007, he was succeeded by Professor Dudley Pennell (Fig. 2) of the Royal Brompton Hospital, London, England. Since December 2016, the JCMR editorial office has been located at the Beth Israel Deaconess Medical Center, Boston, MA, USA under my leadership. My 6 year term will end at the end on December 31, 2022. We are well underway for an organized transition to the 4th JCMR Editor-in-Chief, Dr. Tim Leiner, currently at the Mayo Clinic, Rochester, Minnesota, USA. Throughout this transition, you can continue to contact the JCMR editor-in-chief by using the same email: jcmreditor@scmr.org.
Fig. 2.
A Inaugural (1999–2005) JCMR editor-in-chief, Dr. Gerald M. Pohost. B first JCMR print issue (C) second editor-in-Chief, Professor Dudley Pennell (2006–2016), D Dr. Tim Leiner will be the 4th JCMR editor-in-chief effective 1/1/2013
2021 JCMR editorial and management team
The JCMR Associate Editors (Table 1) reflect the international and diverse spectrum of the CMR and SCMR field. Dr. Long Ngo (USA) continues to serve as our statistical editor. Drs. Juan Lopez-Mattei (USA) and Purvi Parwani (USA) are busy every week disseminating JCMR news as our Social Media/Twitter editors. Tim has elected to keep most of the current team in place and will be adding several Associate Editors. Stay tuned!
Table 1.
JCMR associate editors, statistical editor, journal club editors, and social media editors
| Associate editors | |
| Rene Botnar | Pontificia Universidad Católica, Chile/King’s College London, UK |
| John Greenwood | University of Leeds, UK |
| Yuchi Han | Ohio State University, USA |
| Dara Kraichman | Johns Hopkins University School of Medicine, USA |
| Robert Lederman | National Institutes of Heart, Lung, and Blood Institute, USA |
| Tim Leiner | Mayo Clinic, USA |
| Reza Nezafat | Beth Israel Deaconess Medical Center, USA |
| Amit Patel | University of Virginia, USA |
| Joshua Robinson | Northwestern University, USA |
| Connie Tsao | Beth Israel Deaconess Medical Center, USA |
| Statistical editor | |
| Long Ngo | Beth Israel Deaconess Medical Center, USA |
| Journal Club Editors | |
| Scott Flamm | Cleveland Clinic, USA |
| Raymond Kwong | Brigham and Women’s Hospital, USA |
| Matthias Stuber | University of Lausanne, Switzerland |
| Social Media Editors | |
| Juan Lopez-Mattei | Lee Health, USA |
| Purvi Parwani | Loma Linda University Health, USA |
Jennifer Rodriguez (jcmroffice@scmr.org) has been our managing editor since January 2021 (Fig. 3). Jennifer has made tremendous progress in keeping me and the entire manuscript review process organized and on schedule. As a result, we have seen a marked decrease in our time to first decision time from a mean of 60 days in 2019 and 2020 to ≤ 40 days since she took the managing editor position in January 2021. I hope our authors have felt this tangible difference. We are fortunate that Jennifer has agreed to continue in her JCMR managing editorial role with Dr. Leiner.
Fig. 3.
Jennifer Rodriguez, JCMR managing editor since January 2021
2021 JCMR Journal Club—now with CME!
A highlight of 2021 was the second season of our JCMR Journal. These monthly one-hour webinars are held on the 2nd Wednesday of the month at 11am ET. A link for the monthly registration is on the JCMR (https://jcmr-online.biomedcentral.com/) and SCMR (www.scmr.org) websites. For three years, these monthly JCMR Journal Clubs have been moderated by one of our three Journal Club Editors, Drs. Scott Flamm (clinical), Raymond Kwong (clinical) and Matthias Stuber (non-clinical) (Fig. 4). On a rotating basis, each editor choses a manuscript that was recently published in JCMR. After a brief Journal Club Editor introduction of the topic, the presenting author has a 25–30 min presentation followed by a spirited 30 min discussion. We continue to offer continuing medical education (CME) for reading the manuscript and for July–December 2022 started providing CME for Journal Club attendance. CME for our JCMR Journal Club is another free benefit for SMCR members. Please join your colleagues every month for an informative presentation and discussion. Don’t worry if you missed one. Recordings of the monthly webinars and a CME journal link are provided on the JCMR web site. Check them out! While you can receive CME for reading the manuscript at any time, you can only receive CME for journal club attendance when participating in the live event.
Fig. 4.
2020–2022 JCMR Journal Club editors: Drs. Raymond Kwong, Scott Flamm, Matthias Stuber. Ms. Sarah Mania has been the JCMR Journal Club Managing Editor since mid-2021
Like other JCMR activities, the JCMR Journal Club is a village effort. In addition to our 3 talented Journal Club editors, I very much appreciate the strong administrative assistance of Sarah Mania (Fig. 4) for the past 18 months. Sarah was responsible for coordinating registration, the speaker presentations, CME, Zoom operations and recording, and subsequent posting of the monthly JCMR Journal Club recording on the SCMR website. The 2021 JCMR Journal Club selections were on a wide variety of topics (Table 2).
Table 2.
2020 Monthly JCMR Journal Club Editor, Presenter, Manuscript. Continuing medical education (CME) is offered for reading of the manuscript and is a complimentary benefit for SCMR members
| Date | Journal Club Editor | Presenter | Manuscript |
|---|---|---|---|
| 1/13/2021 | Raymond Kwong | Tomaz Podlesnikar | Left ventricular functional recovery of infarcted and remote myocardium after ST-segment elevation myocardial infarction (METOCARD-CNIC randomized clinical trial substudy [22] |
| 2/10/2021 | Matthias Stuber | Lenhard Pennig | Clinical application of free-breathing 3D whole heart late gadolinium enhancement cardiovascular magnetic resonance with high isotropic spatial resolution using Compressed SENSE [23] |
| 3/10/2021 | Scott Flamm | Claire Raphael (Sanjay Prasad) | Cardiovascular magnetic resonance predictors of heart failure in hypertrophic cardiomyopathy: the role of myocardial replacement fibrosis and the microcirculation [24] |
| 4/14/2021 | Raymond Kwong | Theo Pezel (Jerome Garot) | Long-term prognostic value of stress perfusion cardiovascular magnetic resonance in patients without known coronary artery disease [25] |
| 5/12/2021 | Matthias Stuber | Thu-Thao Le | Multiparametric exercise stress cardiovascular magnetic resonance in the diagnosis of coronary artery diseases: the EMPIRE trial [26] |
| 6/9/2021 | Scott Flamm | Ying Zhang (Yuchi Han) | Comparing cardiovascular magnetic resonance strain software packages by their abilities to discriminate outcomes in patients with heart failure with preserved ejection fraction [27] |
| 7/14/2021 | Raymond Kwong | Alessia Pepe | Myocardial iron overload by cardiovascular magnetic resonance native segmental T1 mapping: a sensitive approach that correlates with cardiac complications [28] |
| 8/10/2021 | Matthias Stuber | Sorin Giusca (Greg Korosoglou) | Multi-parametric assessment of left ventricular hypertrophy using late gadolinium enhancement, T1 mapping and strain-encoded cardiovascular magnetic resonance [29] |
| 9/8/2021 | Scott Flamm | Robert Holtackers | Dark-blood late gadolinium enhancement cardiovascular magnetic resonance for improved detection of subendocardial scar: a review of current techniques [11] |
| 10/13/2021 | Raymond Kwong | Hakan Arheden | Pulmonary blood volume measured by cardiovascular magnetic resonance: influence of pulmonary transit time methods and left atrial volume [30] |
| 11/10/2021 | Matthias Stuber | Robert Edelman | Dark blood cardiovascular magnetic resonance of the heart, great vessels, and lungs using electrocardiographic-gated three-dimensional unbalanced steady-state free precession [31] |
| 12/8/2021 | Scott Flamm | Shingo Kato | Cardiovascular magnetic resonance assessment of coronary flow reserve improves risk stratification in heart failure with preserved ejection fraction [32] |
Manuscript review process, omissions, and suggestions
I reviewed the manuscript submission process in my report earlier this year [9] and will not repeat that outline.
All manuscripts are submitted and processed through the http://www.jcmr-online.org website. I encourage all authors to closely follow the guidelines so as not to delay the review process. By far, the most error that leads to review delay continues to be the omission of the names and contact information for at least two suggested reviewers in their submission documents. I ask authors to use JCMR preferred abbreviations (Table 3; https://jcmr-online.biomedcentral.com/submission-guidelines/preparing-your-manuscript/abbreviations) and to use the terms “CMR” and “cardiovascular magnetic resonance” rather than “cardiac magnetic resonance” or “cardiac MRI.” While the abbreviation issue does not delay the review, it adds additional burden to the prepublication editing process.
Table 3.
JCMR preferred abbreviations
| 3D | Three-dimensional |
| 4Ch | Four chamber |
| 4D | Four-dimensional |
| 4DF | Four-dimensional flow |
| 6MWT | Six minute walk test |
| A | Area |
| A2C | Apical two chamber |
| A4C | Apical four chamber |
| AA | Aortic arch |
| AA | Adductor artery |
| AAA | Abdominal aortic aneurysm |
| AAo | Ascending aorta |
| AAOCA | Anomalous aortic origin of the coronary arteries |
| AAP | American academy of pediatrics |
| AAR | Area at risk |
| ABI | Ankle-brachial index |
| AC | Arrhythmic cardiomyopathy |
| ACA | Anterior cerebral artery |
| ACAOS | Anomalous coronary artery origin from the opposite sinus |
| ACAR | Acute cardiac allograft rejection |
| ACC | American College of Cardiology |
| ACCF | American College of Cardiology Foundation |
| ACDC | Automated Cardiac Diagnosis Challenge |
| ACEI | Angiotensin converting enzyme inhibitor |
| aCNR | Apparent contrast-to-noise ratio |
| ACS | Acute coronary syndrome |
| ACR | American College of Radiology |
| ACR | Acute cardiac rejection |
| ACS | Acute coronary syndrome |
| AD | Aortic distensibility |
| AD | Aortic dissection |
| ADAM | Adaptive moment estimation algorithm |
| ADC | Apparent diffusion coefficientddddddddddd |
| ADMM | Alternating direction method of multipliers |
| ADP | Adenosine diphosphate |
| ADT | Appropriate device therapy |
| AE | Adverse event |
| AF | Atrial fibrillation |
| AF | Atlas Forests |
| AFD | Anderson-Fabry disease |
| AFP | Adiabatic full passage |
| AG | Attention gates |
| AHA | American Heart Association |
| AHP | Adiabatic half passage |
| AI | Artificial intelligence |
| AIC | Akaike’s information criteria |
| AIF | Arterial input function |
| AIM | Annular inflow method |
| AKI | Acute kidney injury |
| AL | Amyloid light chain |
| ALM | Appendicular lean mass |
| ALSA | Aberrant left subclavian artery |
| aLV | Apical left ventricle |
| AM | Acute myocarditis |
| AMA | American Medical Association |
| AMI | Acute myocardial infarction |
| AML | Anterior mitral leaflet |
| AMR | Antibody mediated rejection |
| ANCA | Anti-neutrophil cytoplasmic antibody |
| ANCOVA | Analysis of covariance |
| ANOVA | Analysis of variance |
| AOA | Anatomic orifice area |
| AoR | Aortic root |
| AP | Anterior–posterior |
| AP | Aorto-pulmonary |
| ApA | Apical angle |
| APC | Aortopulmonary collateral |
| APEF | Apical ejection fraction |
| APMHR | Age predicted maximal heart rate |
| APVD | Anomalous pulmonary venous drainage |
| ARB | Angiotensin receptor blocker |
| ARD | Autoimmune rheumatic diseases |
| ARDS | Acute respiratory distress syndrome |
| ARoot | Aortic root |
| ART | Antiretroviral therapy |
| ARVC | Arrhythmogenic right ventricular cardiomyopathy |
| AS | Aortic stenosis |
| aSNR | Apparent signal-to-noise ratio |
| ASD | Atrial septal defect |
| ASD | Average surface distance |
| ASE | American Society of Echocardiography |
| ASI | Aortic size index |
| ASL | Arterial spin labeling |
| ASNC | American Society of Nuclear Cardiology |
| ASO | Arterial switch operation |
| AT2R | Angiotensin 2 receptor |
| AT1R | Angiotensin 1 receptor |
| ATP | Adenosine triphosphate |
| ATP | Antitachycardia pacing |
| ATTR | Amyloid transthyrein (amyloidosis) |
| AUC | Appropriate use criteria |
| AUC | Area under the curve |
| AVA | Aortic valve area |
| AVAI | Aortic valve area index |
| AVC | Arrhythmic ventricular cardiomyopathy |
| AVC | Aortic valve closure |
| AVI | Aorto-vertebral interface |
| AVM | Arteriovenous malformation |
| AVO2 | Arteriovenous oxygen |
| AVPD | Atrioventricular plane descent |
| AVR | Aortic valve replacement |
| AVVR | Atrioventricular valve regurgitation |
| BA | Basilar artery |
| BAV | Bicuspid aortic valve |
| BB | Black blood |
| BB | Bright blood |
| BBTI | Black blood thrombus imaging |
| BCA | Brachiocephalic artery |
| BCS | Blind compressed sensing |
| BCW | Backwards compression wave |
| BDG | Bidirectional Glenn |
| BH | Breath hold |
| BIC | Bayesian information criteria |
| BiPAP | Bi-level positive airway pressure |
| BiV | Biventricular |
| bLV | Basal left ventricle |
| BMC | Blood-to-myocardial contrast |
| BMD | Becker muscular dystrophy |
| BMI | Body mass index |
| BMV | Bioprosthetic mitral valve |
| BNP | Brain natriuretic peptide |
| BOLD | Blood-oxygen dependent contrast |
| BOOST | Bright-blood and black-blOOd phase SensiTive inversion recovery |
| BP | Blood pressure |
| BPD | Bronchopulmonary dysplasia |
| BPM | Beats per minute |
| BSA | Body surface area |
| bSSFP | Balanced steady state free precession |
| BUN | Blood urea nitrogen |
| Bvf | Fractional tissue blood volume per cardiac tissue volume |
| BW | Band width |
| BW | Body weight |
| C | Compacted |
| C-SENSE | Compressed sensitivity encoding |
| CA | Cardiac amyloidosis |
| CAA | Coronary artery anomaly |
| CAA | Coronary artery aneurysm |
| CABG | Coronary artery bypass graft |
| CAC | Coronary artery calcification |
| CAD | Coronary artery disease |
| CAP | Cardiac Atlas Project |
| CATCH | Coronary atherosclerosis T1w characterization with integrated anatomic reference |
| CAV | Coronary allograft vasculopathy |
| CAVI | Cardio-ankle vascular index |
| CBC | Complete blood count |
| CBCMR | Certification Board of Cardiovascular Magnetic Resonance |
| CBF | Coronary blood flow |
| CCA | Common carotid artery |
| CCMRA | Coronary cardiovascular magnetic resonance angiography |
| ccTGA | Congenitally corrected transposition of the great arteries |
| CDC | United States Centers for Disease Control and Prevention |
| cDTI | Cardiac diffusion tensor imaging |
| CE | Contrast enhanced |
| CE | Cholesterol esthers |
| CE | Cardiac events |
| CE | Conformité Européenne |
| CE | Continuing education |
| CE-MARC | Clinical Evaluation of Magnetic Resonance Imaging in Coronary Heart Disease |
| CEA | Carotid endarterectomy |
| CEA | Cost effectiveness analysis |
| CEF | Coronary endothelial function |
| CEP | Clinical end-point |
| CETP | Cholesterylester transfer protein |
| cf-PWV | Carotid-femoral pulse wave velocity |
| CF | Center frequency |
| CFA | Common femoral artery |
| cFA | Compartment fractional anisotropy |
| CFD | Computational flow dynamics |
| CFR | Coronary flow reserve |
| CHD | Congenital heart disease |
| CHESS | Chemical shift selective saturation |
| CHIP | Coronary hyper-intense plaque |
| CI | Confidence interval |
| CI | Cardiac index |
| CIA | Common iliac artery |
| CIC | Cardiac iron concentration |
| CIED | Cardiac implanted electronic device |
| CIF | Cumulative incidence function |
| CircE | Circulatory efficiency |
| CK | Creatine kinase |
| CKD | Chronic kidney disease |
| CLIO | Cross-linked iron oxide |
| cMD | Compartment mean diffusivity |
| CMD | Coronary microvascular dysfunction |
| CME | Continuing medical education |
| CMET | Cardiac metastases |
| CMP | Central mean pressure |
| CMP | Cardiomyopathy |
| CMR | Cardiovascular magnetic resonance |
| CMRA | Coronary magnetic resonance angiography |
| CMRA | Cardiovascular magnetic resonance angiography |
| CMRS | Cardiovascular magnetic resonance spectroscopy |
| CMRV | Cardiovascular magnetic resonance venography |
| CMS | Centers for Medicare and Medicaid Services |
| CMV | Cytomegalovirus |
| CNN | Convolutional neural networks |
| CNR | Contrast-to-noise ratio |
| CNS | Central nervous system |
| CO | Cardiac output |
| COeff | Effective cardiac output |
| CoA | Coarctation of aorta |
| COCATS | Core Cardiovascular Training Statement |
| CoG | Center of gravity |
| CoM | Center of mass |
| COPD | Chronic obstructive pulmonary disease |
| COR | Class of recommendation |
| CorCTA | Coronary computed tomography angiography |
| COSMOS | Calculation of susceptibility through a multiple-oreintation sampling |
| CoV | Coefficient of variation |
| COVID-19 | Coronavirus disease 2019 |
| CP | Circulatory power |
| CPET | Cardiopulmonary exercise testing |
| CPK | Creatine phosphokinase |
| CPO | Cardiac power output |
| CPR | Curved planar reconstruction |
| Cr | Creatinine |
| CR | Contrast ratio |
| CRF | Cardiorespiratory fitness |
| CRP | C-reactive protein |
| CRT | Cardiac resynchronization therapy |
| CS | Compressed sensing |
| CS | Coronary sinus |
| CS | Circumferential strain |
| CSA | Cross-sectional area |
| CSBF | Coronary sinus blood flow |
| CSDE | Chemical shift displacement error |
| CSF | Cerebral spinal fluid |
| CSI | Chemical shift imaging |
| CSPAMM | Complementary spatial modulation of magnetization |
| CT | Computed tomography |
| CT-FT | Computed tomography feature tracking |
| cT1 | Corrected T1 |
| CTA | Computed tomography angiography |
| CTD | Connective tissue disease |
| CTEPH | Chronic thromboembolic pulmonary hypertension |
| cTn | Cardiac troponin |
| CTO | Chronic total occlusion |
| CTRCD | Cancer therapy-related cardiac dysfunction |
| CuCo | Cusp to commissure |
| CuCu | Cusp to cusp |
| CV | Cardiovascular |
| CVA | Cerebrovascular attack |
| cVAE | Conditional variational autoencoder |
| CVD | Cardiovascular disease |
| CVF | Collagen volume fraction |
| CVO | Combined ventricular output |
| CVP | Central venous pressure |
| CVR | Cerebrovascular resistance |
| D | Distance |
| D-TGA | Dextro-transposition of the great arteries |
| dAA | Distal aortic arch |
| dAA | Distal ascending aorta |
| DA | Descending aorta |
| DAA | Double aortic arch |
| DB | Dark blood |
| DBP | Diastolic blood pressure |
| DC | Distensibility coefficient |
| DC | Diagnostic confidence |
| DCE | Dynamic contrast enhancement |
| DCI | Diffusion compartment imaging |
| DCM | Dilated cardiomyopathy |
| DCMR | Dobutamine stress cardiovascular magnetic resonance |
| DCMRL | Dynamic contrast cardiovascular magnetic resonance lymphangiography |
| DCS | Diastolic circumferential strain |
| DD | Ductus diverticulum |
| dDA | Distal descending aorta |
| dDNP | Dissolution dynamic nuclear polarization |
| De | Dean number |
| DENSE | Displacement encoding with stimulated echoes |
| DESPOT | Driven equilibrium single pulse observation of T1 |
| DEXA | Dual-energy x-ray absorptiometry |
| DICOM | Digital imaging and communications in medicine |
| DIF | Diffuse interstitial fibrosis |
| DIR | Double inversion recovery |
| DIRV | Double inlet right ventricle |
| DL | Deep learning |
| DLCO | Diffusion lung capacity for carbon monoxide |
| DLV | Dominant left ventricle |
| DM | Diabetes mellitus |
| DMD | Duchenne’s muscular dystrophy |
| DMF | Diffuse myocardial fibrosis |
| dNAV | Diaphragmatic navigator |
| DORV | Double outlet right ventricle |
| DRA | Dark rim artifact |
| DRV | Dominant right ventricle |
| DSA | Digital subtraction angiography |
| DSA | Donor specific antibodies |
| DSC | Dice similarity coefficient |
| DSE | Dobutamine stress echocardiography |
| DORV | Double outlet right ventricle |
| dp-SIR | Dentate nucleus to pons signal intensity ratio |
| DRA | Dark rim artifact |
| DRAPR | Deep learning radial acceleration with parallel reconstruction |
| DSA | Digital subtraction angiography |
| DSC | DICE similarity coefficient |
| DSS | Dahl salt-sensitive |
| DSVR | Deformable slice to volume registration |
| DTA | Descending thoracic aorta |
| DTI | Diffusion tensor imaging |
| DUS | Doppler ultrasound |
| DTPA | Diethylenetriaminepentaacetic acid |
| DTW | Dynamic time warp |
| DVQ | Diastolic vorticity quotient |
| DVD | Double vessel disease |
| DVT | Deep venous thrombosis |
| DW | Diffusion weighted |
| DW | Dry weight |
| DWI | Diffusion weighted imaging |
| E2A | Secondary eigenvector |
| e’ | Early diastolic velocity |
| Ea | Effective elastance |
| Ea | Arterial elastance |
| EACVI | European Association of Cardiovascular Imaging |
| EAM | Electroanatomic map |
| EBV | Epstein-Barr virus |
| ECA | External carotid artery |
| Ecc | Circumferential strain |
| ECC | Extracardiac conduit |
| ECF | Extracellular fluid |
| ECG | Electrocardiogram |
| ECM | Extracellular matrix |
| ECMO | Extracorpeal membrane oxygenation |
| ECV | Extracellular volume fraction |
| ECVm | Measured extracellular volume fraction |
| ECVsyn | Synthetic extracellular volume fraction |
| ED | End-diastole |
| EDD | End-diastolic dimension |
| EDS | Ehlers-Danlos syndrome |
| EDV | End-diastolic volume |
| EDVI | End-diastolic volume index |
| EED | Endocardial edge delineation |
| EEM | External elastic membrane |
| Ees | End-systolic elastance |
| EF | Ejection fraction |
| EF | Emptying fraction |
| EF1 | First phase ejection fraction |
| eCNR | Estimated contrast-to-noise ratio |
| EGE | Early gadolinium enhancement |
| EGEr | Early gadolinium enhancement ratio |
| eGFR | Estimated glomerular filtration rate |
| EGPA | Eosinophilic granulomatosis with polyangiitis |
| EI | Eccentricity index |
| EL | Energy loss |
| ELBO | Evidence lower bound |
| Ell | Longitudinal strain |
| EMA | European Medicines Agency |
| Emax | Maximal end-systolic elastance |
| EMB | Endomyocardial biopsy |
| EMG | Electromyogram |
| EMI | Electromagnetic interference |
| EMS | Emergency medical services |
| ENDO | Endocardium/endocardial |
| ENMC | European Neuromuscular Centre |
| EOA | Effective orifice area |
| EOAI | Effective orifice area index |
| EP | Electrophysiological |
| EPI | Echoplanar imaging |
| EPI | Epicardium/epicardial |
| EQ | Energy quotient |
| EROA | Effective regurgitant orifice area |
| Err | Radial strain |
| ERS | European Respiratory Society |
| ES | End-systole |
| ES | Edge sharpness |
| ES | Eisenmenger syndrome |
| ESC | European Society of Cardiology |
| ESCR | European Society of Cardiovascular Radiology |
| ESD | End-systolic dimension |
| ESFS | End-systolic fiber stress |
| ERS | European Respiratory Society |
| ESMA | Elastin specific magnetic resonance agent |
| ESNR | Estimated signal-to-noise ratio |
| ESPVR | End-systolic pressure volume relationship |
| ESR | European Society of Radiology |
| ESRD | End-stage renal disease |
| ESSsep | End-systolic septal strain |
| ESV | End-systolic volume |
| ESVI | End-systolic volume index |
| ESWS | End-systolic wall stress |
| ETA | Elongated transverse aortic arch |
| ETL | Echo train length |
| EWA | Expectation maximization weighted algorithm |
| Ex-CMR | Exercise stress cardiovascular magnetic resonance |
| FA | Flip angle |
| FA | Fatty acid |
| FA | Fractional anisotropy |
| FAC | Fractional area change |
| FB | Free breathing |
| FBG | Fasting blood glucose |
| FC | Fibrous cap |
| FCN | Fully convolutional neural network |
| FCNN | Fully connected neural network |
| FCR | Fibrous cap rupture |
| FCR | Flow convergence region |
| FCSA | Fast composite splitting algorithm |
| FCW | Forward compression wave |
| FD | Flow diverter |
| FD | Fractal dimension |
| FDA | United States Food and Drug Administration |
| FE | Ferumoxytol enhanced |
| FED | Fibroelastic deficiency |
| FEV1 | Forced expiratory volume |
| FID | Free induction decay |
| FDA | United States Food and Drug Administration |
| FDG | Fluorodeoxyglucose |
| FEV1 | Forced expiratory volume in one second |
| FFE | Fast field echo |
| FFR | Fractional flow reserve |
| FFT | Fast Fourier transform |
| FFTO | Fontan fenestration test occlusion |
| FFV | Forward flow volume |
| FGP | Fast gradient projection |
| FH | Foot-head |
| FH | Family history |
| FHS | Framingham Heart Study |
| FIDDLE | Flow independent dark-blood delayed enhancement |
| FIRE | Framework for image reconstruction |
| FISTA | Fast iterative shrinkage-threshold algorithm |
| FL | False lumen |
| FLAIR | Fluid attenuated inversion recovery |
| FLASH | Fast low angle shot |
| FLEF | False lumen ejection fraction |
| FM | First order moment |
| fMRI | Functional magnetic resonance imaging |
| FN | False negative |
| fNAV | Focused navigation |
| FOV | Field-of-view |
| FP | False positive |
| FPP | First pass perfusion |
| FPR | False positive rate |
| FS | Fat saturation |
| FS | Fractional shortening |
| FSHD1 | Facioscapulohumeral muscular dystrophy type 1 |
| FSE | Fast spin echo |
| FSL | Spin lock frequency |
| FT | Fourier transform |
| FT | Feature tracking |
| FTAAD | Familial Thoracic Aortic aneurysms and dissection syndrome |
| FVC | Forced vital capacity |
| FW | Free wall |
| FWHM | Full width at half maximum |
| FWLS | Free wall longitudinal strain |
| GA | Gestational age |
| GAN | Generative adversarial network |
| GBCA | Gadolinium based contrast agent |
| GBM | Gradient boosting machine |
| GC-LOLA | Gradient controlled local Larmor adjustment |
| GCS | Global circumferential strain |
| GCSR | Global circumferential strain rate |
| Gd | Gadolinium |
| GDMT | Goal directed medical therapy |
| GFA | Generalized fractional anisotropy |
| GLCM | Gray-level co-occurrence matrix |
| GLRLM | Gray-level run-length matrix |
| GLM | General linear models |
| GLS | Global longitudinal strain |
| GLSR | Global longitudinal strain rate |
| GPAC | Global Physical Activity Questionnaire |
| GPU | Graphical processor units |
| GQI | Generalized Q-space imaging |
| Grad-CAM | Gradient-weighted class activation mapping |
| GRAPPA | Generalized autocalibrating partially parallel acquisition |
| GraSE | Gradient and spin echo |
| GRASP | Golden angle radial sparse parallel |
| GRE | Gradient recalled echo |
| GRS | Global radial strain |
| GS | Golden-step |
| GSS | Global severity score |
| GT | Ground truth |
| GWAS | Genome wide association study |
| H&E | Hematoxylin and eosin |
| HA | Helix angle |
| HARP | Harmonic phase magnetic resonance |
| HASTE | Half-Fourier single shot turbo spin echo |
| Hb | Hemoglobin |
| HbA1c | Hemoglobin A1c |
| HCM | Hypertrophic cardiomyopathy |
| Hct | Hematocrit |
| HCTsyn | Synthetic hematocrit |
| Hd | Helical density |
| HD | Housdorff distance |
| HDL | High density lipoprotein |
| HDPE | High-density polyethylene |
| HE | Hematoxylin and eosin |
| HEIDI | Homogeneity-enabled incremental dipole inversion |
| HES | Hyperesoinophilic syndrome |
| HF | Heart failure |
| HFI | Helical flow index |
| HFmrEF | Heart failure with mid-range ejection fraction |
| HFpEF | Heart failure with preserved ejection fraction |
| HFrEF | Heart failure with reduced ejection fraction |
| Hb | Hemoglobin |
| HFR | Holodiastolic flow reversal |
| HHD | Hypertensive heart disease |
| HHFP | Hypertension-associated heart failure in pregnancy |
| HHV | Human herpes virus |
| HIP | High intensity plaque |
| HIV | Human immunodeficiency virus |
| HIVAC | Human immunodeficiency virus associated cardiomyopathy |
| HLA | Horizontal long axis |
| HLHS | Hypoplastic left heart syndrome |
| HOCM | Hypertrophic obstructive cardiomyopathy |
| HOMA-IR | Homeostasis model assessment-estimated insulin resistance |
| HP | Hyperpolarized |
| HPF | High-power field |
| HPLHS | Hypoplastic left heart syndrome |
| HR | Heart rate |
| HR | Hazard ratio |
| HR | High resolution |
| HR-VWI | High resolution vessel wall imaging |
| HRS | Heart Rhythm Society |
| HS | High salt |
| hsCRP | High sensitivity c-reactive protein |
| hs-cT | High sensitivity cardiac troponin |
| hs-cTnI | High sensitivity cardiac troponin I |
| hs-cTnT | High sensitivity cardiac troponin T |
| HSCT | Hematopoietic stem cell transplantation |
| HU | Hounsfield units |
| HV | Hepatic vein |
| HW | Heart weight |
| I/R | Ischemia/reperfusion |
| IAA | Infrarenal abdominal aorta |
| IAD | Intracranial artery dissection |
| ICA | Internal carotid artery |
| ICA | Iodinated contrast agent |
| ICA | Invasive coronary angiography |
| ICC | Intraclass correlation coefficient |
| ICD | Implanted cardiodefibrillator |
| ICE | Intracardiac echocardiography |
| ICE | Image reconstruction environment |
| ICM | Ischemic cardiomyopathy |
| iCMR | Invasive cardiovascular magnetic resonance |
| ICTP | Type I collagen C terminal telopeptide |
| ICU | Intensive care unit |
| IDI | Integrative discrimination index |
| IF | Immunofluorescence |
| IFG | Impaired fasting glucose |
| iFR | Instantaneous wave-free ratio |
| IFT | Inverse Fourier transform |
| IHC | Immunohistochemical |
| IHD | Ischemic heart disease |
| IHG | Isometric hand grip |
| IIM | Idiopathic inflammatory myopathy |
| ILT | Intraluminal thrombus |
| IMCL | Intramyocardial lipids |
| IMH | Intramyocardial hemorrhage |
| iNAV | Image-based navigator |
| INCA study | Impact of Non-invasive CMR Assessment |
| iNO | Inhaled nitric oxide |
| INOCA | Ischemia with no obstructive coronary arteries |
| INR | International normalized ratio |
| IO | Iron overload |
| IOC | Iron overload cardiomyopathy |
| IoU | Intersection over union |
| IPAH | Idiopathic pulmonary artery hypertension |
| IPH | Intraplaque hemorrhage |
| iPTH | Immunoreactive parathyroid hormone |
| IQ | Image quality |
| IQA | Image quality assessment |
| IQR | Interquartile range |
| IR | Inversion recovery |
| IRF | Impulse response function |
| IRF | In-plane rotational flow |
| IRSE | Inversion recovery spin echo |
| IRSF | Inversion recovery snapshot flash |
| ISFsep-lat | Internal stretch factor |
| ISHLT | International Society of Heart and Lung Transplantation |
| ISMRMRD | International Society for Magnetic Resonance in Medicine Raw Data |
| ISO | Isotropic diffusion component |
| IV | Intravenous |
| IVIG | Intravenous gamma immunoglobulin |
| IVMD | Interventricular mechanical delay |
| IVUS | Intravascular ultrasound |
| IVC | Inferior vena cava |
| IVS | Interventricular septum |
| IVST | Interventricular septal thickness |
| IVUS | Intravascular ultrasound |
| JSENSE | Joint image reconstruction and sensitivity estimation in sensitivity encoding |
| Kat-ARC | K-adaptive-t autocalibrating reconstruction for cartesian sampling |
| KD | Kawasaki disease |
| KE | Kinetic energy |
| KEiEDV | Kinetic energy normalized to left ventricular end-diastolic volume |
| Kt-BLAST | Kt broad linear speed up technique |
| L-L | Leading to leading |
| L-TGA | Levo-transposition of the great arties |
| LA | Left atrium/left atrial |
| LA | Long axis |
| LA | Left anterior |
| LAA | Left atrial appendage |
| Lac | Lactate |
| LAD | Left atrial descending coronary artery |
| LAEF | Left atrial emptying fraction |
| LAAEmF | Left atrial active emptying function |
| LAPEmF | Left atrial passive emptying function |
| LASSO | Least absolute shrinkage and selection operator |
| LATEmF | Left atrial total emptying function |
| LAV | Left atrial volume |
| LAVI | Left atrial volume index |
| LAVmax | Maximal left atrial volume |
| LAVmax-I | Maximal left atrial volume indexed to body surface area |
| LAVmin | Minimal left atrial volume |
| LAVmin-I | Minimal left atrial volume indexed to body surface area |
| LAx | Long axis |
| LBF | Lower body fat |
| LBBB | Left bundle branch block |
| LBP | Local binary patterns |
| LCA | Left coronary artery |
| LCBI | Lipid coreburden index |
| LCP | Leadless cardiac pacemaker |
| LCX | Left circumflex coronary artery |
| LDA | Linear discriminant analysis |
| LDH | Lactate dehydrogenase |
| LDL | Low density lipoprotein |
| LDS | Loeys-Dietz syndrome |
| LE | Loeffler’s endocarditis |
| LFP | Linear flip angle |
| LGE | Late gadolinium enhancement |
| LHC | Left heart catheterization |
| LHM | Left handed helix angle |
| LIPV | Left inferior pulmonary vain |
| LISA | Linearly increasing start-up angles |
| LL | Lower limit |
| LL | Lower limb |
| LLC | Lake Louise criteria |
| LM | Left main coronary artery |
| LM | Loose matrix |
| LMS | Lambda-Mu-Sigma |
| LNH | Local normalized helicity |
| LOA | Limits of agreement |
| LOE | Level of evidence |
| LOS | Length of stay |
| LOST | LOw-dimensional-structure Self-learning and Thresholding |
| LP | Left posterior |
| LP | Label propagation |
| LPA | Left pulmonary artery |
| LR | Left–right |
| LR | Low resolution |
| LR | Logistic regression |
| LRNC | Lipid rich necrotic core |
| LRP | Lipid rich plaque |
| LS | Longitudinal strain |
| LSCA | Left subclavian artery |
| LSPV | Left superior pulmonary vein |
| LT | Lateral tunnel |
| LV | Left ventricle/left ventricular |
| LVAD | Left ventricular assist device |
| LVEDVP | Left ventricular end-diastolic pressure |
| LVEDV | Left ventricular end-diastolic volume |
| LVEDVI | Left ventricular end-diastolic volume index |
| LVEF | Left ventricular ejection fraction |
| LVESV | Left ventricular end-systolic volume |
| LVM | Left ventricular mass |
| LVMI | Left ventricular mass index |
| LVMP | Left ventricular myocardial power |
| LVNC | Left ventricular non-compaction |
| LVOT | Left ventricular outflow tract |
| LVOTO | Left ventricular outflow tract obstruction |
| LVRR | Left ventricular reverse remodeling |
| LW | Linewidth |
| LWD | Lung water density |
| M1 | Middle cerebral artery |
| M2 | Second order motion compensation |
| MA | Mitral annulus/mitral annular |
| MA | Methamphetamine-associated |
| MA-CMP | Metamphetamine associated cardiomyopathy |
| mAA | Mid-ascending aorta |
| MAAD | Mid ascending aorta diameter |
| mAAr | Mid aortic arch |
| MAC | Moving angle crossing |
| MACE | Major adverse cardiovascular event |
| MAD | Mitral annular disjunction |
| MAE | Mean absolute error |
| mAoP | Mean aortic pressure |
| MAP | Mean arterial pressure |
| MAPE | Mean average percentage error |
| MAPK | Mitogen activated protein kinase |
| MAPSE | Mitral annular plane systolic excursion |
| MaR | Myocardium at risk |
| MARC | Markers And Response to CRT study |
| maxLCBI4mm | Maximum 4-mm lipid core burden index |
| MBF | Myocardial blood flow |
| MBG | Myocardial blush grade |
| MBP | Mean blood pressure |
| MBV | Myocardial blood volume |
| MCA | Middle cerebral artery |
| MCD | Mean contour distance |
| MCE | Myocardial contrast echocardiography |
| MCF | Myocardial contraction fraction |
| MCP | Monocyte chemoattractant protein |
| MD | Mean diffusivity |
| MD | Muscular dystrophy |
| MD2 | Myotonic dystrophy II |
| MDCT | Multidetector computed tomography |
| MDIR | Multislice double inversion recovery |
| mDixon | Modified Dixon |
| mDA | Mid descending aorta |
| MDT | Mitral deceleration time |
| MEDI | Morphology enabled dipole inversion |
| MERGE | Motion sensitized driven equilibrium rapid gradient echo |
| MESA | Multi-Ethnic Study of Atherosclerosis |
| MESE | Multi-echo spin echo |
| MeSH | Medical Subject Heading |
| MET | Metabolic equivalent |
| MFA | Myocyte fractional anisotropy |
| MFR | Myocardial flow reserve |
| MFS | Marfan syndrome |
| MHD | Magnetohydrodynamic effect |
| MI | Myocardial infarction |
| MICSR | Magnitude image CSPAMM |
| MINOCA | Myocardial infarction with no obstructive coronary arteries |
| MIO | Myocardial iron overload |
| MIP | Maximal intensity projection |
| MIS | Multisystem inflammatory syndrome |
| MIS-C | Multisystem inflammatory syndrome in children |
| ML | Machine learning |
| MLHFQ | Minnesota Living with Heart Failure Questionnaire |
| mLV | Mid-left ventricle |
| mLVEF | Mid-range left ventricular ejection fraction |
| MM | Mitochondrial related mutation |
| MMD | Myotonic muscular dystrophy |
| MMP | Metalloproteinases |
| MMRC | Modified Medical Research Council |
| Mn | Manganese |
| MO | Microvascular obstruction |
| MOCO | Motion corrected |
| MOG | Metric optimized gating |
| MOLLI | MOdified Look Locker Inversion recovery |
| MOOSE | Meta-analysis Of Observational Studies in Epidemiology |
| MP | Myocardial perfusion |
| MP-RAGE | Magnetization prepared rapid acquisition gradient echo |
| MPA | Main pulmonary artery |
| mPAP | Mean pulmonary artery pressure |
| MPBF | Maldistribution of pulmonary blood flow |
| MPD | Maximum perpendicular distance |
| MPG | Mean pressure gradient |
| MPI | Myocardial perfusion imaging |
| MPO | Myeloperoxidase |
| MPR | Myocardial perfusion reserve |
| MPR | Multiplanar reconstruction/reformatting |
| MPRAGE | Magnetization prepared rapid acquisition gradient echo |
| MPRI | Myocardial perfusion reserve index |
| MR | Magnetic resonance |
| MR | Mitral regurgitation |
| MR-IMPACT | CMR for Myocardial Perfusion Assessment in Coronary Artery Disease |
| MR-INFORM | Magnetic Resonance Perfusion or Fractional Flow Researve in Coronary Artery Disease trial |
| MRA | Magnetic resonance angiography |
| mRAP | Mean right atrial pressure |
| MRE | Magnetic resonance elastography |
| MRegur | Mitral regurgitation |
| MRI | Magnetic resonance imaging |
| mRNA | Messenger RNA |
| MS | Mitral stenosis |
| MRS | Magnetic resonance spectroscopy |
| mSASHA | Modified saturation recovery single-shot acquisition |
| mSAX | Midventricular short axis |
| MSD | Mean surface distance |
| MSDR | Maximum systolic deceleration rate |
| MSE | Mean squared error |
| MSI | Myocardial salvage index |
| MT | Magnetization transfer |
| MTC | Magnetization transfer contrast |
| mtDNA | Mitochondrial DNA |
| MTG | Myocardial triglyceride content |
| MUGA | Multi-acquisition gated angiography |
| MUSIC | Multiphase steady-state imaging with contrast enhancement |
| MV | Mitral valve |
| MV | Mixed venous |
| MVA | Mitral valve area |
| MVD | Microvascular disease |
| MVO | Microvascular obstruction |
| MVO2 | Myocardial oxygen consumption |
| MVP | Mitral valve prolapse |
| MVPA | Moderate to vigorous physical activity |
| MVR | Mass volume ratio |
| MVR | Mitral valve repair |
| MVR | Mitral valve replacement |
| MVV | Maximal voluntary ventilation |
| MWS | Mid-wall striae |
| MWT | Maximal wall thickness |
| MYO | Myohemoglobin |
| n-SD | Number of standard deviations |
| NASCET | North American Symptomatic Carotid Endarterectomy Trial |
| NAV | Navigator |
| NASCI | North American Society of Cardiovascular Imaging |
| NC | Non-compacted |
| NC | Necrotic core |
| NC | Non-connective tissue |
| NC | Non-contrast |
| NCS | Normalized circumferential strain |
| n.d | Non-dimensional |
| NDCM | Non-ischemic dilated cardiomyopathy |
| nDNA | Nuclear DNA |
| NF | Net flow |
| NFG | Non-fasting glucose |
| NHS | National Health Service |
| NICM | Non-ischemic cardiomyopathy |
| NHLBI | National Heart Lung and Blood Institute |
| NIHSS | National Institutes of Health Stroke Scale |
| NIRS | Near infrared spectroscopy |
| NIST | National Institute of Standards and Technology laboratory |
| NLP | Newborn Lung Project |
| NO | Nitric oxide |
| NOS | Newclastle-Ottawa quality assessment scale |
| NR | Non-rigid |
| nRDI | Non-restricted diffusion index |
| NRI | Net reclassification index |
| NS | Non-selective |
| NS | Normal salt |
| NSF | Nephrogenic systemic fibrosis |
| NSTEMI | Non ST elevation myocardial infarction |
| NSVT | Non-sustained ventricular tachycardia |
| NT-pro BNP | N-terminal pro-hormone brain natriuretic peptide |
| NWI | Normalized wall index |
| NYD | Not yet diagnosed |
| NYHA | New York Heart Association |
| O–O | Outer to outer |
| OCT | Optical coherence tomography |
| OPF | Orientation distribution function |
| OHCA | Out-of-hospital cardiac arrest |
| OMT | Optimal medical therapy |
| OR | Odds ratio |
| ORO | Oil red O |
| OS | Oxygen sensitive |
| OSA | Obstructive sleep apnea |
| OSI | Oscillatory shear index |
| OV | Overlapping |
| OVS | Outer volume suppression |
| OXPHOS | Oxidative phosphorylation |
| PA | Popliteal artery |
| PA | Pulmonary artery |
| PAB | Pulmonary artery banding |
| PAC | Pulmonary artery compliance |
| PACS | Picture archiving and communication system |
| PAD | Peripheral arterial disease |
| pAF | Paroxysmal atrial fibrillation |
| PAH | Pulmonary artery hypertension |
| PANDA | Principle component analysis and dictionary learning |
| PAP | Pulmonary artery pressure |
| PAPR | Powered air-purifying respirators |
| PAPVC | Partial anomalous pulmonary venous connection |
| PAPVR | Partial anomalous pulmonary venous return |
| PAQ-C | Physical Activity Questionnaire for older Children |
| PAS | Pulmonary artery stenosis |
| PASC | Post-acute sequelae Covid-19 |
| PASP | Pulmonary artery systolic pressure |
| PAWP | Pulmonary artery wedge pressure |
| PAWS | Phase-ordered automatic window selection |
| PBV | Pulmonary blood volume |
| PBVV | Pulmonary blood volume variation |
| PC | Phase contrast |
| PC | Principle component |
| PCA | Principal component analysis |
| PCA | Phase contrast angiography |
| PCI | Percutaneous coronary intervention |
| PCMR | Phase contrast magnetic resonance |
| PCr | Phosphocreatine |
| PCR | Polymerace chain reaction |
| PCS | Peak circumferential strain |
| PDA | Patent ductus arteriosus |
| PDA | Posterior descending coronary artery |
| Projection onto dipole fields | |
| Probability distribution function | |
| PDFF | Proton density fat fraction |
| PDGF | Platelet derived growth factor |
| PDSRC | Peak diastolic circumferential strain rate |
| PDSRL | Peak diastolic longitudinal strain rate |
| PDSRR | Peak diastolic radial strain rate |
| PDw | Proton density weighted |
| PCWP | Pulmonary capillary wedge pressure |
| PDH | Pyruvate dehydrogenase |
| PE | Phase encoding |
| PE | Potential energy |
| PE | Pulmonary embolism |
| PE | Parameter estimates |
| PEA | Pulseless electrical activity |
| PEA | Pulmonary endarterectomy |
| PET | Positron emission tomography |
| PF | Peak flow |
| PFA | Perfluoroalkoxyalkane |
| PFR | Peak filling rate |
| PFR | Perivascular fibrosis |
| PG | Pressure gradient |
| PGSE | Pulse gradient spin echo |
| PH | Pulmonary hypertension |
| PHiSeg | Probabilistic hierarchical segmentation |
| PHT | Pediatric heart transplantation |
| PHT | Pressure half-time |
| PI | Pulsatility index |
| PICA | Posterior inferior cerebral artery |
| PICS | Parallel imaging compressed sensing |
| PISA | Proximal isovelocity surface area |
| PLAX | Parasternal long axis |
| PLM | Polarized light microscopy |
| pLVEF | Preserved left ventricular ejection fraction |
| PLS | Peak longitudinal strain |
| PLSVC | Persistent left superior vena cava |
| PM | Papillary muscle |
| pMI | Periprocedure myocardial injury |
| PML | Posterior mitral leaflet |
| PMMA | Polymethyl methacrylate |
| PMR | Plaque to myocardial signal intensity ratio |
| PNF | Pulmonary net flow |
| POC | Point-of-care |
| POMP | Phase offset multiplanar |
| PP | Pulse pressure |
| PPE | Personal protective equipment |
| PPCI | Primary percutaneous coronary intervention |
| PPCM | Peripartum cardiomyopathy |
| PPG | Peak pressure gradient |
| PPI | Pitch per inch |
| PPM | Permanent pacemaker |
| PR | Precision recall |
| PR | Pulmonic regurgitation |
| PR% | Pulmonary regurgitation fraction |
| Prec | Precision |
| PRESS | Point resolved spectroscopy |
| PRF | Pulmonary regurgitant fraction |
| PRISM | Preferred reporting items for systemic reviews and meta-analysis |
| PRISMA | Preferred reporting items for systematic reviews and meta analyses |
| PROST | Patch-based low-rank reconstruction |
| PROUD | Prospective undersampling in multiple dimensions |
| PRS | Peak radial strain |
| PRV | Pulmonary regurgitant volume |
| PRVI | Pulmonary regurgitant volume index |
| pSAT | Partial saturation |
| PSF | Point spread function |
| PSAX | Parasternal short axis |
| PSIR | Phase sensitive inversion recovery |
| PSM | Propensity score matching |
| PSYS | Peak systolic pressure |
| PSSR | Peak systolic strain rate |
| PSSRC | Peak systolic circumferential strain rate |
| PSSRL | Peak systolic longitudinal strain rate |
| PSSRR | Peak systolic radial strain rate |
| PTB | Pulmonary transit beats |
| PTH | Parathyroid hormone |
| PTT | Pulmonary transit time |
| PTFE | Polytetrafluoroethylene |
| PV | Pulmonary valve |
| PV | Pulmonary vein |
| PV | Pressure volume |
| PV | Peak velocity |
| PVA | Pulmonary valve annulus |
| PVC | Polyvinyl chloride |
| PVC | Premature ventricular complexes |
| PVDR | Pulmonary vascular distensibility reserve |
| PVI | Pulmonary vein isolation |
| PVL | Paravalvular leak |
| PVO2 | Peak oxygen comsumption |
| PVOD | Pulmonary veno-occlusive disease |
| PVR | Pulmonic valve replacement |
| PVR | Pulmonary vascular resistance |
| PVRI | Pulmonary vascular resistance index |
| PWV | Pulse wave velocity |
| Pyr | Pyruvate |
| Q | Flow |
| QALY | Quality-adjusted life year |
| QC | Quality control |
| QCA | Quantitative coronary angiography |
| QIBA | Quantitative Imaging and Biomarkers Alliance |
| QIR | Quadruple inversion recovery |
| QISS | Quiescent interval slice-selective |
| QoL | Quality of life |
| Qp | Pulmonic flow |
| Qs | Systemic flow |
| QSM | Quantitative susceptibility mapping |
| QTc | Corrected QT interval |
| RA | Right atrium/right atrial |
| RA | Right-anterior |
| RAA | Right aortic arch |
| RAA | Right atrial appendage |
| RAEF | Right atrial emptying fraction |
| RAC | Relative area change |
| rAHP | Reverse adiabatic half passage |
| RAP | Right atrial pressure |
| RARE | Rapid acquisition with relaxation enhancement |
| RAPID-IHD | Rapid Cardiovascular Magnetic Resonance for Ischemic Heart Disease |
| RAS | Renin-angiotensin system |
| RAV | Right atrial volume |
| RAVI | Right atrial volume index |
| RBP | Mean radius of the blood pool |
| rBW | Receiver bandwidth |
| RCA | Right coronary artery |
| RCA | Reverse classification accuracy |
| RCO | Right coronary ostium |
| RCT | Randomized controlled trial(s) |
| RDI | Restricted diffusion index |
| REACT | Relaxation-enhanced angiography without contrast and triggering |
| Rec | Recall |
| ReLU | Rectified linear unit |
| RER | Respiratory exchange ratio |
| RF | Radiofrequency |
| RF | Regurgitant fraction |
| RF | Random forests |
| RF2 | Random Forests |
| RHC | Right heart catheterization |
| RHM | Right handed orientation |
| RIPV | Right inferior pulmonary vein |
| RL | Right-left |
| rLVEF | Reduced left ventricular ejection fraction |
| RMPV | Right middle pulmonary vein |
| RMS | Root mean square |
| RMSD | Root mean square distance |
| RMSE | Root mean square error |
| ROC | Receiver operator characteristics |
| ROC | Receiver operator curve |
| ROI | Region-of-interest |
| ROS | Reactive oxygen species |
| RP | Right posterior |
| RPA | Recursive partitioning analysis |
| RPA | Right pulmonary artery |
| RPP | Rate pressure product |
| RRT | Renal replacement therapy |
| RRT | Relative residence time |
| RS | Radial strain |
| RS | Rejection score |
| RSD | Relative standard deviation |
| RSN | Radial self-navigated |
| RSNA | Radiological Society of North America |
| RSPV | Right superior pulmonary vein |
| RT | Real time |
| RT-PCR | Reverse transcription-polymerase chain reaction |
| RTC | Real time cine |
| rTOF | Repaired tetralogy of Fallot |
| RTP | Return to play |
| RU | Relative upslope |
| RV | Right ventricle/right ventricular |
| RV | Regurgitant volume |
| RVD | Right ventricular dilation |
| RVED | Right-ventricular end-diastolic volume |
| RVEDVI | Right ventricular end-diastolic volume index |
| RVEF | Right ventricular ejection fraction |
| RVESVI | Right ventricular end-systolic volume index |
| RVFW | Right ventricular free wall |
| RVFWS | Right ventricular free wall strain |
| RVH | Right ventricular hypertrophy |
| RVI | Right ventricular insertion |
| RVLA | Right ventricular long axis |
| RVol | Regurgitant volume |
| RVOT | Right ventricular outflow tract |
| RVSP | Right ventricular systolic pressure |
| RVT | Retrospective valve tracking |
| RWM | Regional wall motion |
| RWMA | Regional wall motion abnormality |
| RWT | Relative wall thickness |
| S-ICD | Subcutaneous implantable cardioverter defibrillator |
| SAA | Serum amyloid A |
| SAEs | Serious adverse events |
| SALLI | Small animal Look Locker inversion recovery |
| SAM | Systolic anterior motion |
| SAPPHIRE | Saturation pulse prepared heart rate independent inversion recovery |
| SAR | Specific absorption rate |
| SARS-CoV-2 | Severe acute respiratory syndrome coronavirus 2 |
| SASHA | Saturation recovery single-shot acquisition |
| SAT | Saturation pulse |
| SAT | Subcutaneous adipose tissue |
| SAVR | Surgical aortic valve replacement |
| SAx | Short axis |
| SBP | Systolic blood pressure |
| SCAI | Society for Cardiovascular Angiography and Interventions |
| SCCT | Society of Cardiovascular Computed Tomography |
| SCD | Sudden cardiac death |
| SCMR | Society for Cardiovascular Magnetic Resonance |
| SCS | Systolic circumferential strain |
| SD | Standard deviation |
| SDp | Pooled standard deviation |
| SE | Spin echo |
| SEE | Standard error of the estimate |
| SENC | Strain encoding |
| SENSE | Sensitivity encoding |
| SFA | Superficial femoral artery |
| SFRR | Systolic flow reversal ratio |
| SFT | Semi-automated flow tracking |
| SG | Self-gated |
| SIR | Stress-to-rest intensity ratio |
| SIR | Selective inversion recovery |
| SIR | Signal intensity ratio |
| SIT | Situs inversus totalis |
| sGS | Sorted golden step |
| ShMOLLI | Shortened modified Look Locker inversion recovery |
| SI | Signal intensity |
| SI | Superior–inferior |
| SIP | Septal insertion points |
| SIR | Signal intensity ratio |
| SL | Spin lock/spin locking |
| sLASER | Semi-adiabatic localization by adiabatic selective refocusing |
| SLE | Systemic lupus erythematosus |
| SLFF | Semilunar valve forward flow |
| SLICE | Segment length in cine |
| SLNF | Semilunar valve net flow |
| SLS | Segmental longitudinal strain |
| SLV | Single left ventricle |
| SM | Sarcomere mutation |
| SM | Shape mode |
| SMA | Superior mesenteric artery |
| SMASH | Simultaneous acquisition of spatial harmonics |
| SMC | Smooth muscle cells |
| SMD | Standardized mean difference |
| SMR | Spleen-to-myocardium ratio |
| SMS | Simultaneous multi-slice |
| SN | Self-navigated |
| SNA | Sympathetic nerve activity |
| SNAP | Simultaneous non-contrast angiography and intraplaque hemorrhage |
| SNR | Signal-to-noise ratio |
| SO | Second observer |
| SOP | Standard operating procedures |
| SOS | Stack of stars |
| SP | Sinus prosthesis |
| SPACE | Sampling perfection with application-optimized contrast using different flip angle evolutions |
| SPAIR | Spectral attenuated inversion recovery |
| sPAP | Systolic pulmonary artery pressure |
| SPCTPD | Society of Pediatric Cardiology Training Program Directors |
| SPAMM | Spatial modulation of magnetization |
| SPAIR | Spectral attenuated inversion recovery |
| SPECT | Single photon emission computed tomography |
| SPGR | Spoiled gradient echo |
| SPINS | Stress CMR Perfusion Imaging in the United States |
| SPIO | Small particle iron oxide |
| SPIR | Spectral presaturation with inversion recovery |
| SPR | Splenic perfusion ratio |
| SQ | Semi-quantitative |
| SR | Strain rate |
| SR | Sinus rhythm |
| SR | Super resolution |
| SR | Saturation recovery |
| SRR | Super resolution reconstruction |
| SRS | Segmental radial strain |
| SRSsep | Systolic rebound stretch of the septum |
| SRV | Single right ventricle |
| SS | Slice-selective |
| SSc | Systemic sclerosis |
| SSDI | Social Security Death Index |
| SSFP | Steady state free precession |
| SSH | Secure shell protocol |
| SSI | Systolic stretch index |
| SSIM | Structured similarity index |
| SScPAH | Systemic sclerosis pulmonary artery hypertension |
| bSSFP | Balanced steady state free precession |
| SSO | Splenic switch-off |
| SSR | Single volume super-resolution reconstruction |
| SSTSE | Single shot turbo spin echo |
| STE | Speckle tracking echocardiography |
| STEAM | Stimulated echo acquisition mode |
| STEMI | ST elevation myocardial infarction |
| STI | Susceptibility tensor imaging |
| STIR | Short tau inversion recovery |
| STJ | Sinotubular junction |
| STRM | Signal threshold versus reference mean |
| STS | Surgical Thoracic Society |
| SV | Stroke volume |
| SV | Single ventricle |
| SVC | Superior vena cava |
| SVD | Single value decomposition |
| SVE | Shared velocity encoding |
| SVI | Stroke volume index |
| SVM | Support vector machines |
| SVR | Systemic vascular resistance |
| SVR | Slice-to-volume registration |
| SVT | Supraventricular tachycardia |
| SW | Stroke work |
| SWALL | Mean myocardial wall thickness |
| T | Tesla |
| T1DM | Type 1 diabetes mellitus |
| T1w | T1 weighted |
| T2DM | Type 2 diabetes mellitus |
| T2prep | T2 preparation |
| T2w | T2 weighted |
| TA | Transverse angle |
| TA | Texture analysis |
| TA | Tricuspid annulus/tricuspid annular |
| TA | Tricuspid atresia |
| TA-WSS | Time averaged wall shear stress |
| TAC | Total arterial compliance |
| TAC | Transverse aortic constriction |
| TAC | Thoracic aortic calcification |
| TACi | Total arterial compliance index |
| TAO | Transverse aortic arch |
| TAPSE | Tricuspid annular plane systolic excursion |
| TAPVC | Total anomalous pulmonary vein connection |
| TAV | Trileaflet aortic valve |
| TAVI | Transcatheter aortic valve implantation |
| TAVR | Transcatheter aortic valve replacement |
| TB | Tuberculosis |
| TBAD | Type B aortic dissection |
| TCFA | Thin-cap fibroatheroma |
| TCM | Takotsubo cardiomyopathy |
| TCPC | Total cavopulmonary connection |
| TD | Delay time |
| TD | Time difference |
| TD | Trigger delay |
| TDI | Tissue Doppler imaging |
| TE | Echo time |
| TEeff | Effective echo time |
| TEE | Transesophageal echocardiography |
| TEM | Transmit-receive electromagnetic |
| TEVAR | Thoracic endovascular aortic repair |
| TFC | Task Force Criteria |
| TFE | Turbo field echo |
| TG | Triglyceride |
| TGA | Transposition of the great arteries |
| TGF-B1 | Transforming growth factor beta-1 |
| THR | Target heart rate |
| TI | Inversion time |
| TIA | Transient ischemic attack |
| TIMI | Thrombolysis in myocardial infarction |
| TIMP | Tissue inhibitors of matrix metalloproteinases |
| TIO | Transfusion iron overload |
| TKE | Turbulent kinetic energy |
| TL | True lumen |
| TM | Mixing time |
| TMA | Trimethylammonium |
| TMA | Trimethyl amide |
| TN | True negative |
| TOF | Tetralogy of Fallot |
| TOST | Two-sided test of equivalence |
| TP | True positive |
| TP | Tube prosthesis |
| TPG | Transpulmonary pressure gradient |
| TPM | Tissue phase mapping |
| TPM | Trabeculae and papillary muscles |
| TPR | True positive rate |
| TPR | Total pulmonary resistance |
| TR | Repetition time |
| TR | Tricuspid regurgitation |
| TR | Time resolved |
| TRAMINER | Transfer and inversion recovery-prepared imaging |
| TS | Saturation delay |
| TSE | Turbo spin echo |
| TSI | Time signal intensity |
| TSL | Spin lock time |
| TT | Transit time |
| TTC | Triphenyltetrazolium chloride |
| TTE | Transthoracic echocardiography |
| TV | Total variation |
| TV | Tricuspid valve |
| TVD | Triple vessel disease |
| TVI | Time velocity integral |
| TxREF | Transmitter B1 reference |
| UAP | Unstable angina pectoris |
| UAV | Unicuspid aortic valve |
| UFA | Unsaturated fatty acid |
| UKBB | United Kingdom BioBank |
| UL | Upper limit |
| UL | Upper limb |
| ULN | Upper limits of normal |
| US | Ultrasound |
| USPIO | Ultrasmall particles of iron oxide |
| UTE | Ultrashort echo time |
| UV | Umbilical vein |
| UWDRS | Unified Wilson’s Disease Rating Scale |
| VA | Ventricular arrhythmias |
| VA | Vertebral artery |
| VAC | Ventricular arterial coupling |
| VAPOR | Variable pulse power and optimized relaxation |
| VAT | Visceral adipose tissue |
| VC | Vena contracta |
| VCAM | Vascular cell adhesion molecule |
| VCG | Vector electrocardiogram |
| VCO2 | Carbon dioxide production |
| VD | Variable density |
| VD-CASPR | Variable density Cartesian trajectory with spiral profile |
| VE | Ventilator efficiency |
| VE | Minute ventilation |
| VEL | Viscous energy loss |
| VELR | Viscous energy loss rate |
| VENC | Velocity encoded |
| VES | Ventricular extra-systoles |
| VF | Ventricular fibrillation |
| VFA | Variable flip angle |
| VHA | Vena hemiazygos |
| VHD | Valvular heart disease |
| VIBE | Volumetric-interpolated breath-hold examination |
| VIP | Ventricular insertion points |
| VIPR | Isotropic voxel radial projection imaging |
| VLA | Vertical long axis |
| Vmax | Maximal velocity |
| VNR | Velocity to noise |
| VO2 | Oxygen consumption |
| VOI | Volume of interest |
| VOL | Volume |
| Vp | Propagation velocity |
| VPS | Visual presence score |
| VQ | Vorticity quotient |
| VR | Volume rendered |
| vSaO2 | Mixed venous oxygen saturation |
| VSARR | Valve sparing aortic root replacement |
| VSD | Ventricular septal defect |
| VSMC | Vascular smooth muscle cells |
| VT | Ventricular tachycardia |
| VT | Ventilator threshold |
| VTE | Venous thromboembolism |
| VTI | Vertebral tortuosity index |
| VTS | Visual transmurality score |
| VUS | Variant of uncertain significance |
| VV | Interventricular |
| Vwall | Myocardial wall volume |
| vWERP | Virtual work-energy relative pressure |
| VWI | Vessel wall imaging |
| wb-LGE | Wide band late gadolinium enhancement |
| WC | Waist circumference |
| WD | Wilson Disease |
| WE | Water excitation |
| WET | Water suppression enhanced through T1 effects |
| WH | Whole heart |
| WHO | World Health Organization |
| WHR | Waist hip ratio |
| WHtR | Waist to height ratio |
| WIA | Wave intensity analysis |
| WIP | Work in progress |
| WISE | Women Ischemia Syndrome Evaluation |
| WM | Wall motion |
| WMA | Wall motion abnormality |
| WMSI | Wall motion score index |
| WS | Wall stress |
| WSS | Wall shear stress |
| WT | Wall thickness |
| WT | Wild type |
| WU | Wood units |
| XA | X-ray angiography |
| XD-GRASP | Extradimensional golden-angle radial sparse parallel |
| XMR | Combined x-ray cardiac magnetic resonance laboratories |
| Zva | Valvuloarterial impedance |
Multiuse abbreviations are displayed in italics text
Italics refers to abbreviations that may have multiple meanings (but only one in any single manuscript)
I encourage authors to carefully consider the number of significant digits and reported p values in their manuscripts. For example, when reporting native T1 and standard deviation, would report to the nearest ms and not to the X.X ms or X.XX ms. While technically accurate, reporting T1 to this level of accuracy has no clinical relevance. Similarly, when reporting p values for the sample sizes of most JCMR publications, a value of < 0.001 is a reasonable limit.
All work submitted to the JCMR must be original and cannot be under consideration by another journal until a decision is made by the JCMR. Though a rare occurrence, we have encountered instances where authors had multiple simultaneous submissions. When we become aware of this, the manuscript is immediately withdrawn from further consideration and the authors are put on administrative warning.
Reviewer recognition—gold star reviewers
Reviewers are a key component to the success of the JCMR. In 2019, we introduced the annual JCMR Gold Star Reviewer recognition program for all those who had (1) reviewed at least 3 manuscripts (2) provided an on-time review and (3) provided a high quality review. For 2021, we also recognized the first JCMR Triple Gold Star Reviewer recognition for those who had received a gold start for 3 consecutive years. The 100 JCMR Gold Star reviewers and inaugural 31 JCMR Triple Gold Star reviewers are listed in Table 4. Please join the ranks of JCMR reviewers and strive to be a Gold Star reviewer! As an added incentive, reviewers have the option to receive continuing medical education (CME) credit for providing a review.
Table 4.
2021 JCMR gold star and triple gold star reviewers
| Bradley D Allen |
| Ryan Avery |
| Adrianus J. Bakermans |
| W. Patricia Bandettini |
| Tamer Basha |
| Nicoleta Baxan |
| Giovanni Biglino |
| Kenneth Bilchick |
| David Alan Bluemke |
| Paco Bravo |
| Andrea Cardona |
| Marcus Carlsson |
| YuCheng Chen |
| Henry Chubb |
| Otavio Coelho-Filho |
| Francisco Contijoch |
| Ibolya Csecs |
| Francesca Nesta Delling |
| Jonas Doerner |
| Robert R. Edelman |
| Michael Elliott |
| Daniel Ennis |
| Emil Knut Stenersen Espe |
| Ahmed Fahmy |
| Zhaoyang Fan |
| Vanessa Melanie Ferreira |
| Christopher J Francois |
| Marco Francone |
| Jérôme Garot |
| Matthias Gero Friedrich |
| Lindsay Griffin |
| Lars Grosse-Wortmann |
| Ying Kun Guo |
| Reza Hajhosseiny |
| Hassan Haji-Valizadeh |
| Ahmed Hamimi |
| Ruud B van Heeswijk |
| Markus Henningsson |
| Lazaro Eduardo Hernandez |
| Kan N Hor |
| Andrew Howarth |
| Peng Hu |
| Edward Hulten |
| El-Sayed Ibrahim |
| Masaki Ishida |
| Tevfik F Ismail |
| Jason Nathaniel Johnson |
| Alexandros Kallifatidis |
| Shingo Kato |
| Won Yong Kim |
| Grigorios Korosoglou |
| Ramkumar Krishnamurty |
| Selcuk Kucukseymen |
| Andreas Kumar |
| Deborah Kwon |
| Seung-Pyo Lee |
| Simon Lee |
| Yue-Hin Loke |
| Massimo Lombardi |
| Minjie Lu |
| Julian Luetkens |
| Wojciech Mazur |
| Daniel R Messroghli |
| Lorenzo Monti |
| Kai Muellerleile |
| Vivek Muthurangu |
| Takeru Nabeta |
| AV Naumova |
| Muhummad Sohaib Nazir |
| Thomas Neuberger |
| Ming-Yen Ng |
| Christopher Nguyen |
| Laura Olivieri |
| Ellen Ostenfeld |
| Dana Peters |
| Arno Roest |
| Tobias Rutz |
| Hajime Sakuma |
| Michal Schafer |
| Dipan J. Shah |
| Sujata M Shanbhag |
| Chetan Shenoy |
| Orlando P. Simonetti |
| Timothy Slesnick |
| Sahar Soleimani |
| Jonathan Soslow |
| Pascal Spincemaille |
| Monvadi Barbara Srichai-Parsia |
| Jordan B. Strom |
| Michael D. Taylor |
| Robert Tunks |
| Yining Wang |
| Mark Westwood |
| John Wood |
| Lian-Ming Wu |
| Yibin Xie |
| Alistair Young |
| Karolina M Zareba |
| Chengcheng Zhu |
Triple gold start reviewers are bolded
Conflict-of-interest, reviews, SCMR guideline/position manuscripts and SCMR committee papers
Conflict-of-interest manuscripts, those for which a member of the associate editorial board is either an author, acknowledged in the manuscript or closely associated with an author, are independently handled by a Guest Editor (Table 5) chosen by me. Neither I nor any of the associate editorial board are involved with reviewer selection or with manuscript decision. Our managing editorial office assists the Guest Editor with the administrative software/Editorial Manager. If a conflict-of-interest manuscript is accepted, the Guest Editor is recognized in the JCMR publication with the text “Dr. XX served as a JCMR Guest Editor for this manuscript.”
Table 5.
2021 JCMR guest editors
| Gerard Aurigemma |
| David Bluemke |
| Raymond Chan |
| Robert Edelman |
| Paul Finn |
| Robert Judd |
| Raymond Kim |
| Raymond Kwong |
| Joao A. C. Lima |
| Vivek Muthurangu |
| Laura Olivieri |
| Ellen Ostenfield |
| Nathaniel Reichek |
| Hajime Sakuma |
| Matthias Stuber |
| Robert Weiss |
The JCMR does not accept unsolicited reviews. Authors are encouraged to contact the editor-in-chief (jcmreditor@scmr.org) before submitting any reviews. In general, we expect reviews to be authored by individuals considered experts in the field and receive considerable attention/downloads. All solicited reviews follow the usual peer-review process. Several reviews were published in 2021, including reviews on 4D flow in tetralogy of Fallot [10], dark blood CMR techniques [11], and COVID [12].
The JCMR is the official publication of the SCMR. As such, SCMR Guidelines and Position papers endorsed by the Full (or Executive) SCMR Board(s) do not undergo peer review. I review these manuscripts for consistency with JCMR style and abbreviations. They are then published in an expeditious manner. Society position papers included documents on Level II/independent practitioner training guidelines [12], writing standards for guidelines [13] and SCMR position paper on the role of CMR in women [14].
SCMR case of the week series
While the JCMR does not accept case reports, for many years, the SCMR web site has an active “Case of the Week” (https://scmr.org/page/caseoftheweekLDGPG) series, currently coordinated by Dr. Sylvia Chen. For the second time, in 2021, we published the prior year’s annual case series as a single manuscript [15]. This unified publication is planned as an annual occurrence in JCMR to allow for these illustrative cases to be more widely available to search engines.
Continuing medical education (CME) JCMR journal club
For over 4 years we have been offering on-line CME credit for the benefit of our clinician readers and is a free benefit for SCMR members -allowing them to more easily fulfill the CME criteria for maintenance of their Level II or III certification [16]. This program has been a great success and was greatly expanded with 14 manuscripts in 2021. (Table 6). Please see http://scmr.peachnewmedia.com/store/provider/custompage.php?pageid=20 for the complete listing.
Table 6.
2021 JCMR manuscripts chosen for continuing medical education (CME)
| Theo Pezel | Prognostic value of stress cardiovascular magnetic resonance in asymptomatic patients with known coronary artery disease [17] |
| Claire E. Raphael | CMR predictors of heart failure in hypertrophic cardiomyopathy: the role of myocardial replacement fibrosis and microcirculation [24] |
| Thu-Thao Le | Multiparametric exercise stress cardiovascular magnetic resonance in the diagnosis of coronary artery disease: the EMPIRE trial [26] |
| Yvonne J.M. van Cauteren | Cardiovascular magnetic resonance accurately detects obstructive coronary artery disease in suspected non-ST elevation myocardial infarction: a sub-analysis of the CARMENTA Trial [34] |
| David Marlevi | False lumen pressure estimation in type B aortic dissection using 4D flow cardiovascular magnetic resonance: comparisons with aortic growth [35] |
| Theo Pezel | Long-term prognostic value of stress perfusion cardiovascular magnetic resonance in patients without known coronary artery disease [25] |
| Reza Hajhosseiny | Clinical comparison of sub-mm high-resolution non-contrast coronary CMR angiography against coronary CT angiography in patients with low-intermediate risk of coronary artery disease: a single center trial [36] |
| Satoshi Nakamura | Long-term prognostic value of whole-heart coronary magnetic resonance angiography [37] |
| Ying Zhang | Comparing cardiovascular magnetic resonance strain software packages by their abilities to discriminate outcomes in patients with heart failure with preserved ejection fraction [27] |
| Aakash N. Gupta | Direct mitral regurgitation quantification in hypertrophic cardiomyopathy using 4D flow CMR jet tracking: evaluation in comparison to conventional CMR [38] |
| Luuk H.G.A. Hopman | Impaired left atrial reservoir and conduit strain in patients with atrial fibrillation and extensive left atrial fibrosis [39] |
| Andrew N. Jordan | Morphological and functional cardiac consequences of rapid hypertension treatment: a cohort study [40] |
| Shingo Kato | Prognostic value of resting coronary sinus flow determined by phase-contrast cine cardiovascular magnetic resonance in patients with known or suspected coronary artery disease [41] |
| Alastair J. Rankin | Myocardial changes on 3T cardiovascular magnetic resonance imaging in response to haemodialysis with fluid removal [42] |
Bold manuscripts were also selected for 2021 JCMR Journal Club presentations
Social media
I am very much a social media novice, but the JCMR continues to be very active on Twitter with the handle “JournalofCMR.” Tweets go out with the publication of each manuscript publication and announcing each Journal Club. This activity is coordinated by our two Social Media editors, Drs. Juan Lopez-Mattei and Purvi Parwani.
Gerald M. Pohost and Dudley Pennell awards
In recognition of the efforts of our inaugural editor-in-chief, Dr. Gerald M. Pohost, (Fig. 3) for the past 15 years, the JCMR has awarded the Pohost Prize to that manuscript deemed by the associate editors and editorial board to be the best/most important manuscript published in the prior year. The associate editors and I select the Pohost finalists (Table 7) and the entire editorial board votes on the top prize. At the virtual 2021 SCMR Scientific Sessions annual meeting, the 15th Gerald M. Pohost Prize was awarded to Dr. Theo Pezel and co-workers for their manuscript “Prognostic value of vasodilator stress perfusion cardiovascular magnetic resonance after inconclusive stress testing.” [17]. The Pohost Runner-up Prize was awarded to Dr. Angelica Romero Daza and colleagues for their publication, “Mitral valve prolapse multifunctional features by cardiovascular magnetic resonance: more than just a valvular disease” [18].
Table 7.
2022 Gerald M. Pohost Award Finalists. Dr. Pezel [17] was the recipient of the 14th Gerald M. Pohost Award. Dr. Romero Daza [18] was the runner-up
| Edelman, R.R., Leloudas, N., Pang, J. et al. Dark blood cardiovascular magnetic resonance of the heart, great vessels, and lungs using electrocardiographic-gated three-dimensional unbalanced steady-state free precession [31] |
| Edy, E., Rankin, A.J., Lees, J.S. et al. Cardiovascular magnetic resonance for the detection of descending thoracic aorta calcification in patients with end-stage renal disease [43] |
| Li, S., He, J., Xu, J. et al. Patients who do not fulfill criteria for hypertrophic cardiomyopathy but have unexplained giant T-wave inversion: a cardiovascular magnetic resonance mid-term follow-up study [44] |
| Loke, YH., Capuano, F., Cleveland, V. et al. Moving beyond size: vorticity and energy loss are correlated with right ventricular dysfunction and exercise intolerance in repaired Tetralogy of Fallot [45] |
| Nakamura, S., Ishida, M., Nakata, K. et al. Long-term prognostic value of whole-heart coronary magnetic resonance angiography [37] |
| Pezel, T., Unterseeh, T., Garot, P. et al. Prognostic value of vasodilator stress perfusion cardiovascular magnetic resonance after inconclusive stress testing [33] |
| Romero Daza, A., Chokshi, A., Pardo, P. et al. Mitral valve prolapse morphofunctional features by cardiovascular magnetic resonance: more than just a valvular disease [18] |
| Seraphim, A., Knott, K.D., Beirne, AM. et al. Use of quantitative cardiovascular magnetic resonance myocardial perfusion mapping for characterization of ischemia in patients with left internal mammary coronary artery bypass grafts [46] |
| Thompson, E.W., Kamesh Iyer, S., Solomon, M.P. et al. Endogenous T1ρ cardiovascular magnetic resonance in hypertrophic cardiomyopathy [47] |
| Zghaib, T., Te Riele, A.S.J.M., James, C.A. et al. Left ventricular fibro-fatty replacement in arrhythmogenic right ventricular dysplasia/cardiomyopathy: prevalence, patterns, and association with arrhythmias [48] |
At that virtual meeting, we also presented the 4th Dudley Pennell Award in recognition of the foresight of JCMR’s 2nd Editor-in-Chief, Professor Dudley J. Pennell (Fig. 3) to transition the JCMR to the open-access platform (a decision (spearheaded by then SCMR Publications Committee chairman, Dr. Matthias Friedrich). Their decision markedly improved JCMR’s visibility and impact factor. The Pennell award is for that original manuscript that has most contributed to the Journal’s impact factor for the calendar year 3 years prior to the award. The 3rd Dudley J. Pennell Prize was awarded to Dr. Wenjia Bai et al. for their publication, “Automated cardiovascular magnetic resonance image analysis with fully convolutional networks” [19] with the runner-up Pennell Award was given to Dr. José Fernando Rodríguez -Palomares and colleagues for publication, “Aortic flow patterns and wall shear stress maps by 4D-flow cardiovascular magnetic resonance in the assessment of aortic dilation in bicuspid aortic valve disease” [20].
Stay tuned for the 15th Pohost and 4th Pennell Awards that will presented at the 23nd Scientific Sessions of the Society this February in Ft Lauderdale, Florida, USA!
Tribute to Nathaniel Reichek
Last year the SCMR and the greater CMR community lost one of our founding fathers. Dr. Nathaniel Reichek. Nat was a friend and a true giant in our field. He was literally “in the room” when the SCMR was founded, served as our 3rd president, was a 2017 recipient of the SCMR Gold Medal, and was a tireless advocate for the United States CMR Advocacy Committee. Last year, the SCMR named the Education and Research Fund in his honor. For my tenure as editor-in-chief, Nat was often my “go to” person for conflict-of-interest manuscripts or sounding board. His command of CMR was almost unparalleled, and he readily gave his time to help the Journal and all who inquired of his opinion. While we didn’t agree on every issue, Nat was a gentleman of high integrity and I miss him at multiple levels. We published our first “In Memoriam” in his honor [21]. May his memory be a blessing.
BMC publisher
For the past 15 years, the JCMR has been published by BMC, part of Springer Nature and a pioneer of open access publishing. Our current five-year contract with BMC ends at the end of 2022 and the SCMR has embarked on a search for a publisher (may remain with BMC but yet to be determined). Our new editor-in-chief, Tim Leiner is the chair of the committee and an RFP was recently distributed. A decision is expected by mid 2023. Regardless, the Journal of Cardiovascular Magnetic Resonance, JCMR moniker, and Journal contents are owned by the Society. The transition to a new publisher (if this occurs) at the end of 2023 will be seamless to you, our readership.
Manuscripts—WordCloud
As in last year’s review, I chose to create a Wordcloud (https://www.wordclouds.com) of the 2020 and 2021 JCMR titles (Fig. 5). As in 2020, the most common JCMR manuscript title words were magnetic, cardiovascular, resonance with 2021 followed by imaging, heart, ventricular and myocardial.
Fig. 5.
WordCloud of (A) 2020 and (B) 2021 JCMR manuscript titles
I hope you have found my closing annual “State of our JCMR” informative. I remain the captain until December 31, 2022, but as members of the SCMR, it is really your Journal for which I thank you for allowing me to provide stewardship. I close by again thanking the entire JCMR “village” for contributing to our success. Remember to also join us for our monthly JCMR Journal Club on the second Wednesday of the month at 11am ET!
Wishing you a happy, healthy, and safe 2023. We take great pride in the health care advances enabled by the ongoing advances in CMR. Remember to also take a deep breath every day to enjoy the moment.
Abbreviations
- APC
Article processing charge
- CME
Continuing medical education
- JCMR
Journal of Cardiovascular Magnetic Resonance
- SCMR
Society for Cardiovascular Magnetic Resonance
Author contributions
WJM is solely responsible for the contents of this review. The JCMR. Twitter statistics were provided by Dr. Purvi Parwani on 12/10/2020. The author read and approved the final version of the manuscript.
Funding
WJM receives an annual stipend from BMC for his role as JCMR editor-in-chief.
Availability of data and materials
Data sharing not applicable to this article as no datasets were generated or analyzed.
Declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
On request.
Competing interests
The author declares that they have no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Data sharing not applicable to this article as no datasets were generated or analyzed.