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Elaimy AL, Cao Y, Lawrence TS. Evolution of Response-Based Radiotherapy for Hepatocellular Cancer. Cancer J 2023; 29:266-271. [PMID: 37796644 PMCID: PMC10558084 DOI: 10.1097/ppo.0000000000000679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
ABSTRACT Stereotactic body radiation therapy has emerged as a safe and effective treatment modality for properly selected hepatocellular cancer (HCC) patients with normal liver function. However, many HCC patients have reduced baseline liver function due to underlying cirrhosis or prior liver-directed therapies. Therefore, because of the increased risk of hepatotoxicity, the use of stereotactic body radiation therapy for patients with reduced liver function has been approached with caution. Individualized, response-based radiotherapy incorporates models, imaging tools, and biomarkers that determine the dose-response relationship of the liver before, during, and after treatment and has been useful in reducing the likelihood of liver damage without sacrificing tumor control. This review discusses the evolution of response-based radiotherapy for HCC and highlights areas for further investigation.
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Affiliation(s)
- Ameer L Elaimy
- From the Department of Radiation Oncology, University of Michigan, Ann Arbor, MI
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Amit U, Mohiuddin JJ, Wojcieszynski AP, Harton J, Williams G, Manjunath S, Grandhi N, Doucette A, Plastaras JP, Metz JM, Ben-Josef E. Radiation dose is associated with improved local control for large, but not small, hepatocellular carcinomas. Radiat Oncol 2023; 18:133. [PMID: 37568200 PMCID: PMC10422771 DOI: 10.1186/s13014-023-02318-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 07/06/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND With advances in understanding liver tolerance, conformal techniques, image guidance, and motion management, dose-escalated radiotherapy has become a potential treatment for inoperable hepatocellular carcinoma (HCC). We aimed to evaluate the possible impact of biologically effective dose (BED) on local control and toxicity among patients with HCC. METHODS AND MATERIALS Patients treated at our institution from 2009 to 2018 were included in this retrospective analysis if they received definitive-intent radiotherapy with a nominal BED of at least 60 Gy. Patients were stratified into small and large tumors using a cutoff of 5 cm, based on our clinical practice. Toxicity was assessed using ALBI scores and rates of clinical liver function deterioration. RESULTS One hundred and twenty-eight patients were included, with a mean follow-up of 16 months. The majority of patients (90.5%) had a good performance status (ECOG 0-1), with Child-Pugh A (66.4%) and ALBI Grade 2 liver function at baseline (55.4%). Twenty (15.6%) patients had a local recurrence in the irradiated field during the follow-up period. Univariate and multivariate Cox proportional hazard analyses showed that only BED significantly predicted local tumor recurrence. Higher BED was associated with improved local control in tumors with equivalent diameters over 5 cm but not in smaller tumors. There was no difference in liver toxicity between the low and high-dose groups. CONCLUSIONS Higher radiotherapy dose is associated with improved local control in large tumors but not in tumors smaller than 5 cm in diameter. High-dose radiotherapy was not associated with increased liver toxicity.
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Affiliation(s)
- Uri Amit
- Department of Radiation Oncology, Perelman School of Medicine, Philadelphia, PA, USA.
- Department of Radiation Oncology, Tel Aviv Medical Center, Tel Aviv, Israel.
| | - Jahan J Mohiuddin
- Levine Cancer Institute, Atrium Health, Charlotte, NC, USA
- Southeast Radiation Oncology Group, Charlotte, NC, USA
| | | | | | - Graeme Williams
- Department of Radiation Oncology, Perelman School of Medicine, Philadelphia, PA, USA
| | - Shwetha Manjunath
- Department of Radiation Oncology, Perelman School of Medicine, Philadelphia, PA, USA
| | - Nikhil Grandhi
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Abigail Doucette
- Abramson Cancer Center, Perelman School of Medicine, Philadelphia, PA, USA
| | - John P Plastaras
- Department of Radiation Oncology, Perelman School of Medicine, Philadelphia, PA, USA
| | - James M Metz
- Department of Radiation Oncology, Perelman School of Medicine, Philadelphia, PA, USA
| | - Edgar Ben-Josef
- Department of Radiation Oncology, Perelman School of Medicine, Philadelphia, PA, USA
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Kim N, Cheng JCH, Ohri N, Huang WY, Kimura T, Zeng ZC, Lee VHF, Kay CS, Seong J. Does HCC Etiology Impact the Efficacy of Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma? An Asian Liver Radiation Therapy Group Study. J Hepatocell Carcinoma 2022; 9:707-715. [PMID: 35966184 PMCID: PMC9364984 DOI: 10.2147/jhc.s377810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 07/26/2022] [Indexed: 11/23/2022] Open
Abstract
Background/Purpose The Asian Liver Radiation Therapy Study Group has formed a large and detailed multinational database of outcomes following stereotactic body radiation therapy (SBRT) for hepatocellular carcinoma (HCC). Here, we explored the potential impact of HCC etiology on SBRT efficacy. Tumor control probability (TCP) models were established to estimate the likelihood of local control (LC). Methods Data from 415 patients who were treated with SBRT for HCC were reviewed. Cox proportional hazards models were used to identify key predictors of LC. TCP models accounting for biologic effective dose (BED) and tumor diameter were generated to quantify associations between etiology and LC. Results Cox models demonstrated that hepatitis C virus (HCV) infection was associated with favorable LC following SBRT (HR=0.52, 95% CI 0.04–0.96, p=0.036). The 2-year LC rate for patients with HCV etiology was 88%, compared to 78% for other patients. Small tumor and high BED were also associated with favorable LC. TCP models demonstrated a 10–20% absolute increase in predicted LC across the range of SBRT doses and tumor sizes. Conclusion We found a novel association between HCV status and LC after SBRT for HCC that warrants further exploration. If validated in other datasets, our findings could help clinicians tailor SBRT schedules.
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Affiliation(s)
- Nalee Kim
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan School of Medicine, Seoul, Republic of Korea
| | - Jason Chia-Hsien Cheng
- Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, Taipei City, Taiwan
| | - Nitin Ohri
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Wen-Yen Huang
- Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Tomoki Kimura
- Department of Radiation Oncology, Hiroshima University Hospital, Hiroshima, Japan
| | - Zhao Chong Zeng
- Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Victor Ho Fun Lee
- Department of Radiation Oncology, The University of Hong Kong, Hong Kong
| | - Chul Seung Kay
- Department of Radiation Oncology, Jeju Halla Hospital, Jeju, Republic of Korea
| | - Jinsil Seong
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
- Correspondence: Jinsil Seong, Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea, Tel +82-2-2228-8095, Fax +82-2-2227-7823, Email
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Cheung MLM, Kan MWK, Yeung VTY, Poon DMC, Kam MKM, Lee LKY, Chan ATC. The radiobiological effect of using Acuros XB vs anisotropic analytical algorithm on hepatocellular carcinoma stereotactic body radiation therapy. Med Dosim 2022; 47:161-165. [PMID: 35241348 DOI: 10.1016/j.meddos.2022.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 01/23/2022] [Accepted: 01/31/2022] [Indexed: 11/26/2022]
Abstract
The purpose of this work was to study the radiobiological effect of using Acuros XB (AXB) vs Analytic Anisotropic Algorithm (AAA) on hepatocellular carcinoma (HCC) stereotactic body radiation therapy (SBRT). Seventy SBRT volumetric modulated arc therapy (VMAT) plans for HCC were calculated using AAA and AXB respectively with the same treatment parameters. Published tumor control probability (TCP) and normal tissue complication probability (NTCP) models were used to quantify the effect of dosimetric difference between AAA and AXB on TCP, NTCP and uncomplicated tumor control probability (UTCP). There was an average decrease of 2.5% in 6-month TCP. Normal liver has the largest average decrease in NTCP which was 59.7%. Bowels followed with 26.6% average decrease in NTCP. Duodenum, stomach and esophagus had 10.2%, 5.1%, and 4.3% average decrease in NTCP. There was an average decrease of 1.8% and up to 7.2% in 6-month UTCP. There was an overall decrease in TCP, NTCP, and UTCP for HCC SBRT plans calculated using AXB compared to AAA which could be clinically significant.
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Affiliation(s)
- Michael L M Cheung
- Department of Clinical Oncology, Prince of Wales Hospital, Hong Kong SAR, China; State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Monica W K Kan
- Department of Clinical Oncology, Prince of Wales Hospital, Hong Kong SAR, China; State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vanessa T Y Yeung
- Department of Clinical Oncology, Prince of Wales Hospital, Hong Kong SAR, China; State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Darren M C Poon
- State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Michael K M Kam
- State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Louis K Y Lee
- State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anthony T C Chan
- Department of Clinical Oncology, Prince of Wales Hospital, Hong Kong SAR, China; State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China
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