Abstract
Purpose
To demonstrate the feasibility of magnetic resonance imaging (MRI) for early prediction of proton beam therapy (PBT) effectiveness in hepatocellular carcinoma (HCC).
Methods
Clinical data of the HCC patients without regional lymph node involvement or distant metastasis who received PBT at this institution between 2014 and 2017 were reviewed. A total of 43 patients were included. Tumor regression pattern after PBT were examined on the basis of follow-up duration. The variables were compared between patients with and without early tumor regression (ETR).
Results
The median follow-up duration was 40 months (range, 9–62 months). The cumulative overall survival rate at 6 months, 1 years and 5 years was 100%, 88.4%, 63.4%, respectively. Child-Pugh class A, local tumor control (LTC), complete response (CR), and ETR were significantly associated with overall survival (p < 0.05 each). Of 43 patients, 25 patients (58.1%) reached CR in the PBT-irradiated region. Twelve patients (27.9%) had a partial response and 3 patients (7.0%) had a stationary disease. Three patients (7.0%) developed in-field progression. The LTC rate at 5 years was 93.0%. Of the 25 patients who achieved a CR in the PBT-irradiated region, the median time to CR was 5 months (range, 1–19 months). Twenty-two patients (51.2%) showed ETR of the HCC, while 21 patients (48.8%) showed non-ETR. A significant association was observed between ETR and CR of the HCC after PBT (p < 0.001).
Conclusion
The post-PBT MRI follow-up at 3 months is helpful for monitoring therapeutic response. ETR of the HCC predicted a higher rate of CR and was associated with overall survival, which provides more accurate clinical management.
Introduction
Hepatocellular carcinoma (HCC) is a common cancer worldwide [1–3]. Multiple modalities have been used for local treatment, including surgical resection, transplantation, radiofrequency ablation (RFA), percutaneous ethanol injection, transarterial chemoembolization (TACE), and radiotherapy [4–12].
The role of proton beam therapy (PBT) in the treatment of HCC has evolved recently [13–18]. PBT provides benefit of sparing normal tissues because of the drastic dose fall-off after the Bragg peak, and prevents from radiation-induced liver disease (RILD) compared to X-ray therapy [19–21]. Therefore, PBT had been reported to produce positive outcome in the local treatment of unresectable HCC, with 5-year overall survival and local control rates ranging from 23.5% to 44.6% and 83.3% to 90.2%, respectively [14]. However, unlike surgical resection and RFA, a varied time interval between tumor response and radiotherapy was reported, with mean time to complete response (CR) being 6 months but as long as 21 months [22, 23].
Computed tomography (CT) and magnetic resonance imaging (MRI) are commonly used for post-treatment follow-up to HCC after local-regional therapy. However, MRI has no radiation exposure and offers better contrast resolution compared to CT [24, 25]. Tumor response assessment by MRI for HCC after stereotactic body radiation therapy (SBRT) have been reported [26] but literature exploring the imaging changes of the HCC after PBT is limited. This retrospective study aimed to demonstrate post-PBT early MRI assessment and predicted treatment effectiveness for HCC.
Materials and methods
Patients
A total of 70 HCC patients without regional lymph node involvement or distant metastasis who received PBT at this institution between 2014 and 2017 were enrolled. Patients with HCC who were concurrently treated with RFA (n = 2), TACE (n = 22), or hepatic arterial infusion chemotherapy (n = 3) were excluded. In total, 43 patients treated for HCC were included. HCC was diagnosed either by pathologic confirmation (n = 17) or on the basis of typical radiologic findings of arterial enhancement and venous washout on dynamic CT or MRI (n = 26). This study was approved by the institutional review board of Chang Gung Medical Foundation (IRB No. 202001510B0), and the need for informed consent was waived because of the retrospective and anonymous nature of the analysis.
Proton beam therapy
Procedures for PBT have been reported previously [21, 22]. For radiation therapy planning, patients underwent CT simulation in a supine position with the arms above the head. Dynamic CT images were acquired with 2.5-mm intervals in the treatment position by using CT simulator (Discovery CT590 RT, GE Healthcare, Buckinghamshire, UK). Four-dimensional CT and MRI simulations (Optima MR450w MR system, GE Healthcare, Buckinghamshire, UK) were also conducted to determine the tumor motion and margin. All simulation images were transferred to the Eclipse treatment planning system (Version 13.0; Varian Medical System, Palo Alto, California, USA). The gross tumor volume (GTV) was defined as the enhanced area on CT and MRI images. A clinical target volume (CTV) was contoured as the GTV plus a 5–10 mm margin on serial CT images using the treatment system. The respiratory movement range was calculated using four-dimensional CT and added to the CTV as an internal margin. The CTV homogeneously encompassed with more than 95% and less than 108% of the prescribed dose of the isocenter. Before the treatment initiation for each patient, reliability of the proton beam dose distribution was confirmed using a phantom.
Proton beams were generated using a cyclotron (Sumitomo Heavy Industries, Tokyo, Japan), degraded, and then delivered using a wobbling system. The relative biological effectiveness of protons was set at 1.1. The dose-fractionation schedules were 72.6 Gray equivalents (GyE) in 22 fractions for tumors adjacent to the hepatic portal fissure and gastrointestinal tract, 66 GyE in 10 fractions for tumor away from the gastrointestinal tract. A median total dose of 72.6 GyE in 22 fractions (range, 66–72.6 GyE in 10–22 fractions) was given and the median overall treatment duration was 29 days (range, 12–35 days). Dose-volume histogram analyses were performed for all patients. The dose constraints for organ at risk were as follows: gastrointestinal tract: Dmax < 65% of the total dose; spinal cord: Dmax < 33 GyE [27].
Patient follow-up, image analysis and definition
The patients underwent abdominal MRI studies 1 and 3 months after treatment course completion and then at 3-months intervals. They were evaluated through physical examination and blood tests during the posttreatment follow-up. PBT-related toxicities were evaluated using the Common Terminology Criteria for Adverse Events, Version 4.0. RILD was diagnosed on the basis of both patient symptoms and blood test analysis [28]. Pre- and post-treatment image were performed on 3 Tesla MRI instruments (Magnetom Trio, A Tim System, Siemens, Erlangen, Germany). These included axial fat-saturated T2-weighted sequences, axial diffusion-weighted sequences (b = 800 s/mm2), axial in-phase/opposed-phase sequences, and axial gadolinium-enhanced dynamic multiphase sequences. All images were reviewed by 2 radiologists with 7 and 11 years of experience, respectively, with cancer imaging. Each radiologist performed all measurements on the picture archiving and communication system using electronic calipers. They then calculated and recorded the averages of measurement. The tumor response was examined with the modified Response Evaluation Criteria in Solid tumors [29]. A disappearance of any intratumoral arterial enhancement in all target tumors was defined as a CR, a greater than 30% decrease in the sum of diameters of viable (enhancement in the arterial phase) target tumors was defined as a partial response (PR), and an increase at least 20% in the sum of the diameters of viable target tumors within the in-field target volume was defined as progressive disease (PD). A patient was defined as having a stable disease (SD) when they did not qualify for having either a PR or PD. Local tumor control (LTC) was defined as no progression in the irradiated field. Early tumor regression (ETR) was defined as a greater than 50% decrease in the sum of diameters of viable target tumors after PBT and within 3 months on follow-up images compared with pretreatment images (Fig 1).
Statistical analysis
Survival and disease control rates were calculated at the end of PBT by using the Kaplan–Meier method. Tests for significance of prognostic factors for overall survival and LTC were evaluated by log-rank test. Continuous data were expressed as the mean ± standard deviation. When distributions were skewed, they were expressed as median and interquartile range. A comparison between the ETR and non-ETR groups were performed using a chi-square or Fisher’s exact test for categorical variables. All statistical significances were set at p < 0.05, and IBM SPSS Statistics 20 was used for statistical analysis.
Results
Table 1 lists the demographic, clinical laboratory, and tumor characteristics of the patients. Thirty-six patients had undergone previous therapies involving other treatment modalities, namely surgical treatment (n = 9), TACE (n = 13), RFA (n = 10), and sorafenib (n = 4).
Table 1. Patient and tumor characteristics.
Characteristics | N = 43 |
---|---|
Age (year), median (range) | 71 (48–85) |
Sex, male/female | 30/13 |
Performance status, 0/1/2 | 22/19/2 |
Child-Pugh classification, A/B | 40/3 |
AJCC, I/II/III | 24/10/9 |
Etiology of liver disease | |
HBV | 23 (53.4%) |
HCV | 15 (34.9%) |
Alcoholic | 2 (4.7%) |
Liver cirrhosis | 42 (97.7%) |
Underlying disease | |
Hypertension | 21 (48.8%) |
Diabetes mellitus | 12 (27.9%) |
Coronary artery disease | 7 (16.3%) |
Alfa fetoprotein, ng/mL | |
Median | 13.2 |
Range | 2.1–143121.3 |
Tumor size in maximum diameter | |
Median (range), cm | 3.1 (1.1–17.1) |
< 5 cm | 31 (72.1%) |
≥ 5 cm | 12 (27.9%) |
Number of tumors | |
Single | 33 (76.7%) |
Multiple | 10 (23.3%) |
Portal vein thrombosis | |
Present | 8 (18.6%) |
Absent | 35 (81.4%) |
Hepatic vein thrombosis | |
Present | 3 (7.0%) |
Absent | 40 (93.0%) |
Bile duct dilatation | |
Present | 6 (14.0%) |
Absent | 37 (86.0%) |
AJCC: American Joint Committee on Cancer 8th edition; HBV: hepatitis B virus; HCV: hepatitis C virus.
Outcomes
The median follow-up duration was 40 months (range, 9–62 months). The cumulative overall survival rate at 6 months, 1 years and 5 years was 100%, 88.4%, 63.4%, respectively (Fig 2). At the time of analysis, 13 patients had died due to empyema (n = 1), bacterial peritonitis (n = 1), pneumonia (n = 2), sepsis (n = 2), stroke (n = 1), intrahepatic tumor progression (n = 1), hepatic failure (n = 4), and respiratory failure (n = 1). Child-Pugh class A, LTC, CR, and ETR were significantly associated with overall survival (p < 0.05 each, Table 2).
Table 2. Univariate analysis of factors for overall survival.
Variables | N | OS at 5 years (%) | P value | |
---|---|---|---|---|
Gender | Male | 30 | 0.598 | 0.979 |
Female | 13 | 0.673 | ||
Age | ≤ 70 year | 19 | 0.648 | 0.256 |
> 70 year | 24 | 0.609 | ||
Hepatitis B virus | No | 20 | 0.693 | 0.764 |
Yes | 23 | 0.609 | ||
Hepatitis C virus | No | 28 | 0.567 | 0.699 |
Yes | 15 | 0.733 | ||
Hypertension | No | 22 | 0.671 | 0.754 |
Yes | 21 | 0.595 | ||
Diabetes mellitus | No | 31 | 0.641 | 0.578 |
Yes | 12 | 0.635 | ||
Coronary artery disease | No | 36 | 0.850 | 0.286 |
Yes | 7 | 0.833 | ||
Liver cirrhosis | No | 1 | 1.000 | 0.539 |
Yes | 42 | 0.626 | ||
Child-Pugh Classification | A | 40 | 0.669 | 0.022 |
B | 3 | 0 | ||
AJCC | I-II | 34 | 0.592 | 0.529 |
III | 9 | 0.778 | ||
Number of tumors | Single | 33 | 0.603 | 0.915 |
Multiple | 10 | 0.700 | ||
Tumor size | < 5 cm | 31 | 0.668 | 0.140 |
≥ 5 cm | 12 | 0.571 | ||
Portal vein thrombosis | Absent | 35 | 0.650 | 0.511 |
Present | 8 | 0.583 | ||
Hepatic vein thrombosis | Absent | 40 | 0.628 | 0.866 |
Present | 3 | 0.667 | ||
Bile duct dilatation | Absent | 37 | 0.643 | 0.724 |
Present | 6 | 0.625 | ||
Local tumor control | Yes | 40 | 0.683 | < 0.001 |
No | 3 | 0 | ||
Complete response | CR | 25 | 0.918 | < 0.001 |
Non-CR | 18 | 0 | ||
Early tumor regression | ETR | 22 | 0.856 | 0.014 |
No-ETR | 21 | 0.381 |
AJCC: American Joint Committee on Cancer 8th edition; CR: complete response; ETR: early tumor regression; GyE: Gray equivalents; OS: overall survival.
Of 43 patients, 25 patients (58.1%) reached CR in the PBT-irradiated region. Twelve patients (27.9%) had a PR and 3 patients (7.0%) had a SD. Three patients (7.0%) developed in-field progression. Of the 25 patients who achieved a CR in the PBT-irradiated region, the median time to CR was 5 months (range, 1–19 months). Nine patients (36.0%) had a CR within 3 months, 15 patients (60.0%) had a CR within 6 months, and 22 patients (88%) had a CR within 12 months (Fig 3).
Of the 43 patients, 3 (7.0%) had infield local progression and 15 (34.9%) had outfield progression (12 had new hepatic tumors, 1 had lymph node metastasis, and 2 had distant metastasis). The LTC rate at 5 years was 93.0%. Dose, target tumor size, number of the tumors, and Child-Pugh classification were not significant factors for LTC. The progression-free survival rates at 1 and 5 years were 74.4% and 55.9%, respectively.
Tumor regression on MRI
Of the patients with CRs, the tumorous arterial enhancement disappeared completely in 36% (9 out of 25) of the patients at 3 months, 60% (15 out of 25) at 6 months, and 88% (22 out of 25) at 12 months (Fig 4A). The T2-weighted high signal decreased in 16% of the patients at 3 months, 44% at 6 months, and 80% at 12 months (Fig 4B). The diffusion-weighted hyperintensities decreased in 12% of the patients at 3 months, 36% at 6 months, and 80% at 12 months. (Fig 4C). The median time of total disappearance of arterial enhancement, T2-weighted hyperintensity and diffusion-weighted hyperintensity were 5 months, 7 months, and 7 months respectively. Prolonged T2-weighted hyperintensity and diffusion-weighted hyperintensity after complete disappearance of arterial enhancement occurred in 8 and 11 patients, respectively.
ETR and non-ETR after PBT
Twenty-two patients had ETR and 21 patients had non-ETR. Of the patients with an ETR, 20 (90.9%) had a CR, one had a PR, and one had local progression. Of the patients with ETR, 10 (45.5%) achieved ETR at 1 month. Of the patients without ETR, five had a CR, 11 had a PR, three had SD, and two had local progression.
Table 3 summarizes the patient characteristics, pretreatment image findings, and complete response and mortality between the patients with ETR and non-ETR. The age, gender distributions, and clinical information were similar. Tumor size < 5 cm (p = 0.005) was significantly associated ETR. Patients with ETR had a higher rate of complete response of the HCC (p < 0.001) and a lower rate of mortality (p = 0.015) than patients without ETR.
Table 3. Comparison of ETR and non-ETR group.
Variables, n (%) | ETR (n = 22) | Non-ETR (n = 21) | P value |
---|---|---|---|
Gender (male) | 15 (68.2) | 15 (71.4) | 0.817 |
Age > 70 year | 12 (54.5) | 12 (57.1) | 0.864 |
Hepatitis B virus | 11 (50.0) | 12 (57.1) | 0.639 |
Hepatitis C virus | 10 (45.5) | 5 (23.8) | 0.137 |
Hypertension | 8 (36.4) | 13 (61.9) | 0.094 |
Diabetes mellitus | 7 (31.8) | 5 (23.8) | 0.558 |
Coronary artery disease | 5 (22.7) | 2 (9.5) | 0.412 |
Liver cirrhosis | 22 (100.0) | 20 (95.2) | 0.488 |
Child-Pugh Classification | |||
A | 20 (90.9) | 20 (95.2) | > 0.999 |
B | 2 (9.1) | 1 (4.8) | |
AJCC | |||
I-II | 17 (77.3) | 17 (81.0) | > 0.999 |
III | 5 (22.7) | 4 (19.0) | |
Number of tumors | |||
Single | 19 (86.4) | 14 (66.7) | 0.162 |
Multiple | 3 (13.6) | 7 (33.3) | |
Tumor size < 5 cm | 20 (90.9) | 11 (52.4) | 0.005 |
Portal vein thrombosis | 6 (27.3) | 2 (9.5) | 0.240 |
Hepatic vein thrombosis | 3 (13.6) | 0 (0) | 0.233 |
Bile duct dilatation | 2 (9.1) | 4 (19.0) | 0.412 |
Radiation dose | |||
72.6 GyE | 11 (50.0) | 14 (66.7) | 0.268 |
66 GyE | 11 (50.0) | 7 (33.3) | |
Complete response | 20 (90.9) | 5 (23.8) | < 0.001 |
Local tumor control | 21 (95.5) | 19 (90.5) | 0.607 |
Mortality | 3 (13.6) | 10 (47.6) | 0.015 |
AJCC: American Joint Committee on Cancer 8th edition; CR: complete response; ETR: early tumor regression; GyE: Gray equivalents.
Toxicity
Acute toxicity involving the skin was noted in 22 patients, and 1 of them developed grade 3 toxicity. One patient developed acute grade 1 gastrointestinal toxicity. Seven patients had a Child-Pugh score deterioration of 1 point.
Discussion
Varied time interval between tumor response and radiotherapy as well as signal changes related to HCC after SBRT and PBT have been reported [21–23, 26, 30]. Kim et al [22] reported the mean time for patients achieving CR was 6.3 months (range, 1–21.7 months), and 93.9% of patients had a CR within 12 months. Kawashima et al [23] reported median time of patients having CR of 8 months (range, 5–20 months). In this study of 25 patients who achieved a CR, 22 (88.0%) exhibited a CR within 12 months after PBT. The median time to CR was 5 months (range, 1–19 months), which is similar to that in previous report. In this study, decreases in the arterial enhancement, T2-wighted hyperintensity, and diffusion-weighted hyperintensity of the tumors after PBT were examined on the basis of follow-up duration. The median time to total disappearance of the arterial enhancement, T2-weighted hyperintensity and diffusion-weighted hyperintensity was 5 months, 7 months, and 7 months, respectively. On the basis of the study findings, it is recommended to monitor the regression of HCC and evaluate the tumor response every 3 months in the first year.
In this study, an ETR was significantly associated with a CR after PBT in patients with HCC. Of the patients with an ETR, 90.9% eventually had a CR and only one patient had local progression. Kim et al [22] reported that the distributions of clinical characteristics were not significantly different between the patients who did and did not have CRs. Fukda et al [31] also reported that no factor significantly affected the local tumor control rate from PBT in patients with HCC. Due to the varied time intervals between tumor responses and radiotherapy, with a mean time of five months but as long as 19 months in this study, and in addition to examining tumor markers and conducting a follow-up with image studies, a response in the first three months might help clinicians better communicate follow-up treatment plans, expected outcomes after PBT and avoid unnecessary biopsy for confirmation of residual or recurrent tumor.
Tumor size was a factor in the success rate of SBRT for HCC, and the patients with large tumor generally had less favorable outcomes [26, 32]. Huang et al reported that the tumor size ≤ 4 cm was an independently significant predictor for higher survival rate [32]. In this present study, a tumor size of < 5 cm was significantly associated with ETR.
In this study, the 5-year overall survival rate was 63.4%. Child-Pugh class A, CR, LTC and ETR were significantly associated with overall survival. Child-Pugh score and tumor response had been reported as prognostic factors for overall survival [22, 33]. The higher 5-year overall survival rate in this study may be reflected by higher numbers of patients with Child-Pugh class A (40/43, 93.0%). MR-guided radiotherapy with hybrid MR-linear accelerator (MR-linac) system is a promising radiation technique, by using MRI for real-time monitoring and dose delivery [34, 35]. Based on this study’s result, MRI for assessment of ETR post MRI-linac may be useful. Hence, the role of MRI in the treatment of HCC will be more crucial.
High and long-lasting local control rates (greater than 80% at 5 years) had been reported [14] with the use of PBT for HCC. However, the rate of new tumor forming outside the treated volume was high, range from 36% to 85% [14]. In this present study, local control rate at 5 year was 93%. Fifteen patients (34.9%) had disease progression outside the irradiated volume after PBT. This means that regular follow-up with image study to find new out-field lesion was required, as was further treatment. Functional imaging modalities, such as 2-deoxy-2-(18F)fluoro-D-glucose (18F-FDG) and 11C-choline Positron-emission tomography (PET)-CT in HCC have made progress. 11C-choline has a high PET signal in liver tumor cell and HCC foci gain a better tumor-to-background contrast with choline. 18F-FDG PET has a high sensitivity for detecting extrahepatic metastasis but suboptimal sensitivity for local tumor status [36, 37].
This study has a few limitations. First, it was a single center, retrospective, nonrandomized study with a limited number of included patients. Several patients with concomitant local treatment were excluded, in order to reduce confounding factors. Although current data is supportive of early prediction for tumor regression, an ongoing large scale study is needed for further validation. Second, it had an inherent selection bias because some patients were referred for PBT because they refused surgery or conventional local treatment. This is reflected in the higher performance status and lower Child-Pugh scores in this cohort. Current guidelines reserve SBRT and PBT for stage IV palliation [4, 10].
In conclusion, post-PBT MRI follow-up at 3 months is helpful for monitoring therapeutic response. ETR of the HCC predicted a higher rate of CR and was associated with overall survival, which provides more accurate clinical management.
Data Availability
All relevant data are within the paper.
Funding Statement
The author(s) received no specific funding for this work.
References
- 1.El-Serag HB, Rudolph KL. Hepatocellular carcinoma: epidemiology and molecular carcinogenesis. Gastroenterology. 2007;132(7):2557–76. 10.1053/j.gastro.2007.04.061 [DOI] [PubMed] [Google Scholar]
- 2.Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. International journal of cancer. 2015;136(5):E359–86. 10.1002/ijc.29210 [DOI] [PubMed] [Google Scholar]
- 3.Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians. 2018;68(6):394–424. [DOI] [PubMed] [Google Scholar]
- 4.Yu SJ. A concise review of updated guidelines regarding the management of hepatocellular carcinoma around the world: 2010–2016. Clinical and molecular hepatology. 2016;22(1):7–17. 10.3350/cmh.2016.22.1.7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Jarnagin WR. Management of small hepatocellular carcinoma: a review of transplantation, resection, and ablation. Annals of surgical oncology. 2010;17(5):1226–33. 10.1245/s10434-010-0978-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma. Journal of hepatology. 2012;56(4):908–43. 10.1016/j.jhep.2011.12.001 [DOI] [PubMed] [Google Scholar]
- 7.Marrero JA, Kulik LM, Sirlin CB, Zhu AX, Finn RS, Abecassis MM, et al. Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases. Hepatology. 2018;68(2):723–50. 10.1002/hep.29913 [DOI] [PubMed] [Google Scholar]
- 8.Lencioni R, Cioni D, Crocetti L, Franchini C, Pina CD, Lera J, et al. Early-stage hepatocellular carcinoma in patients with cirrhosis: long-term results of percutaneous image-guided radiofrequency ablation. Radiology. 2005;234(3):961–7. 10.1148/radiol.2343040350 [DOI] [PubMed] [Google Scholar]
- 9.Lencioni R, Chen XP, Dagher L, Venook AP. Treatment of intermediate/advanced hepatocellular carcinoma in the clinic: how can outcomes be improved? The oncologist. 2010;15 Suppl 4:42–52. 10.1634/theoncologist.2010-S4-42 [DOI] [PubMed] [Google Scholar]
- 10.Han KH, Kudo M, Ye SL, Choi JY, Poon RT, Seong J, et al. Asian consensus workshop report: expert consensus guideline for the management of intermediate and advanced hepatocellular carcinoma in Asia. Oncology. 2011;81 Suppl 1:158–64. 10.1159/000333280 [DOI] [PubMed] [Google Scholar]
- 11.Bruix J, Sherman M. Management of hepatocellular carcinoma. Hepatology. 2005;42(5):1208–36. 10.1002/hep.20933 [DOI] [PubMed] [Google Scholar]
- 12.2018 Korean Liver Cancer Association-National Cancer Center Korea Practice Guidelines for the Management of Hepatocellular Carcinoma. Korean journal of radiology. 2019;20(7):1042–113. 10.3348/kjr.2019.0140 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Chuong M, Kaiser A, Molitoris J, Mendez Romero A, Apisarnthanarax S. Proton beam therapy for liver cancers. Journal of gastrointestinal oncology. 2020;11(1):157–65. 10.21037/jgo.2019.04.02 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Dionisi F, Widesott L, Lorentini S, Amichetti M. Is there a role for proton therapy in the treatment of hepatocellular carcinoma? A systematic review. Radiotherapy and oncology: journal of the European Society for Therapeutic Radiology and Oncology. 2014;111(1):1–10. [DOI] [PubMed] [Google Scholar]
- 15.Sanford NN, Pursley J, Noe B, Yeap BY, Goyal L, Clark JW, et al. Protons versus Photons for Unresectable Hepatocellular Carcinoma: Liver Decompensation and Overall Survival. International journal of radiation oncology, biology, physics. 2019;105(1):64–72. 10.1016/j.ijrobp.2019.01.076 [DOI] [PubMed] [Google Scholar]
- 16.Chadha AS, Gunther JR, Hsieh CE, Aliru M, Mahadevan LS, Venkatesulu BP, et al. Proton beam therapy outcomes for localized unresectable hepatocellular carcinoma. Radiotherapy and oncology: journal of the European Society for Therapeutic Radiology and Oncology. 2019;133:54–61. 10.1016/j.radonc.2018.10.041 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Bush DA, Smith JC, Slater JD, Volk ML, Reeves ME, Cheng J, et al. Randomized Clinical Trial Comparing Proton Beam Radiation Therapy with Transarterial Chemoembolization for Hepatocellular Carcinoma: Results of an Interim Analysis. International journal of radiation oncology, biology, physics. 2016;95(1):477–82. 10.1016/j.ijrobp.2016.02.027 [DOI] [PubMed] [Google Scholar]
- 18.Apisarnthanarax S, Bowen SR, Combs SE. Proton Beam Therapy and Carbon Ion Radiotherapy for Hepatocellular Carcinoma. Seminars in radiation oncology. 2018;28(4):309–20. 10.1016/j.semradonc.2018.06.008 [DOI] [PubMed] [Google Scholar]
- 19.Wang X, Krishnan S, Zhang X, Dong L, Briere T, Crane CH, et al. Proton radiotherapy for liver tumors: dosimetric advantages over photon plans. Medical dosimetry: official journal of the American Association of Medical Dosimetrists. 2008;33(4):259–67. 10.1016/j.meddos.2007.04.008 [DOI] [PubMed] [Google Scholar]
- 20.Gandhi SJ, Liang X, Ding X, Zhu TC, Ben-Josef E, Plastaras JP, et al. Clinical decision tool for optimal delivery of liver stereotactic body radiation therapy: Photons versus protons. Practical radiation oncology. 2015;5(4):209–18. 10.1016/j.prro.2015.01.004 [DOI] [PubMed] [Google Scholar]
- 21.Lee CH, Hung SP, Hong JH, Chang JT, Tsang NM, Chan KM, et al. How small is TOO small? New liver constraint is needed- Proton therapy of hepatocellular carcinoma patients with small normal liver. PloS one. 2018;13(9):e0203854. 10.1371/journal.pone.0203854 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kim TH, Park JW, Kim BH, Kim DY, Moon SH, Kim SS, et al. Optimal time of tumour response evaluation and effectiveness of hypofractionated proton beam therapy for inoperable or recurrent hepatocellular carcinoma. Oncotarget. 2018;9(3):4034–43. 10.18632/oncotarget.23428 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Kawashima M, Furuse J, Nishio T, Konishi M, Ishii H, Kinoshita T, et al. Phase II study of radiotherapy employing proton beam for hepatocellular carcinoma. Journal of clinical oncology: official journal of the American Society of Clinical Oncology. 2005;23(9):1839–46. 10.1200/JCO.2005.00.620 [DOI] [PubMed] [Google Scholar]
- 24.Hussein RS, Tantawy W, Abbas YA. MRI assessment of hepatocellular carcinoma after locoregional therapy. Insights into imaging. 2019;10(1):8. 10.1186/s13244-019-0690-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Yaghmai V, Besa C, Kim E, Gatlin JL, Siddiqui NA, Taouli B. Imaging assessment of hepatocellular carcinoma response to locoregional and systemic therapy. AJR American journal of roentgenology. 2013;201(1):80–96. 10.2214/AJR.13.10706 [DOI] [PubMed] [Google Scholar]
- 26.Oldrini G, Huertas A, Renard-Oldrini S, Taste-George H, Vogin G, Laurent V, et al. Tumor response assessment by MRI following stereotactic body radiation therapy for hepatocellular carcinoma. PloS one. 2017;12(4):e0176118. 10.1371/journal.pone.0176118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Hung SP, Huang BS, Hsieh CE, Lee CH, Tsang NM, Chang JT, et al. Clinical Outcomes of Patients With Unresectable Cholangiocarcinoma Treated With Proton Beam Therapy. American journal of clinical oncology. 2020;43(3):180–6. 10.1097/COC.0000000000000646 [DOI] [PubMed] [Google Scholar]
- 28.Kim J, Jung Y. Radiation-induced liver disease: current understanding and future perspectives. Experimental & molecular medicine. 2017;49(7):e359. 10.1038/emm.2017.85 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Llovet JM, Lencioni R. mRECIST for HCC: Performance and novel refinements. Journal of hepatology. 2020;72(2):288–306. 10.1016/j.jhep.2019.09.026 [DOI] [PubMed] [Google Scholar]
- 30.Yu JI, Yoo GS, Cho S, Jung SH, Han Y, Park S, et al. Initial clinical outcomes of proton beam radiotherapy for hepatocellular carcinoma. Radiation oncology journal. 2018;36(1):25–34. 10.3857/roj.2017.00409 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Fukuda K, Okumura T, Abei M, Fukumitsu N, Ishige K, Mizumoto M, et al. Long-term outcomes of proton beam therapy in patients with previously untreated hepatocellular carcinoma. Cancer science. 2017;108(3):497–503. 10.1111/cas.13145 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Huang WY, Jen YM, Lee MS, Chang LP, Chen CM, Ko KH, et al. Stereotactic body radiation therapy in recurrent hepatocellular carcinoma. International journal of radiation oncology, biology, physics. 2012;84(2):355–61. 10.1016/j.ijrobp.2011.11.058 [DOI] [PubMed] [Google Scholar]
- 33.Hata M, Tokuuye K, Sugahara S, Fukumitsu N, Hashimoto T, Ohnishi K, et al. Proton beam therapy for hepatocellular carcinoma patients with severe cirrhosis. Strahlentherapie und Onkologie: Organ der Deutschen Rontgengesellschaft. 2006;182(12):713–20. 10.1007/s00066-006-1564-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Corradini S, Alongi F, Andratschke N, Belka C, Boldrini L, Cellini F, et al. MR-guidance in clinical reality: current treatment challenges and future perspectives. Radiat Oncol. 2019;14(1):92. 10.1186/s13014-019-1308-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Alongi F, Rigo M, Figlia V, Cuccia F, Giaj-Levra N, Nicosia L, et al. 1.5 T MR-guided and daily adapted SBRT for prostate cancer: feasibility, preliminary clinical tolerability, quality of life and patient-reported outcomes during treatment. Radiat Oncol. 2020;15(1):69. 10.1186/s13014-020-01510-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Lu RC, She B, Gao WT, Ji YH, Xu DD, Wang QS, et al. Positron-emission tomography for hepatocellular carcinoma: Current status and future prospects. World journal of gastroenterology. 2019;25(32):4682–95. 10.3748/wjg.v25.i32.4682 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kolthammer JA, Corn DJ, Tenley N, Wu C, Tian H, Wang Y, et al. PET imaging of hepatocellular carcinoma with 18F-fluoroethylcholine and 11C-choline. European journal of nuclear medicine and molecular imaging. 2011;38(7):1248–56. 10.1007/s00259-011-1743-y [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All relevant data are within the paper.