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Chang E, Wong FCL, Chasen BA, Erwin WD, Das P, Holliday EB, Koong AC, Ludmir EB, Minsky BD, Noticewala SS, Smith GL, Taniguchi CM, Rodriguez MJ, Beddar S, Martin-Paulpeter RM, Niedzielski JS, Sawakuchi GO, Schueler E, Perles LA, Xiao L, Szklaruk J, Park PC, Dasari AN, Kaseb AO, Kee BK, Lee SS, Overman MJ, Willis JA, Wolff RA, Tzeng CWD, Vauthey JN, Koay EJ. Phase I trial of single-photon emission computed tomography-guided liver-directed radiotherapy for patients with low functional liver volume. JNCI Cancer Spectr 2024; 8:pkae037. [PMID: 38730548 PMCID: PMC11164414 DOI: 10.1093/jncics/pkae037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 03/28/2024] [Accepted: 05/03/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Traditional constraints specify that 700 cc of liver should be spared a hepatotoxic dose when delivering liver-directed radiotherapy to reduce the risk of inducing liver failure. We investigated the role of single-photon emission computed tomography (SPECT) to identify and preferentially avoid functional liver during liver-directed radiation treatment planning in patients with preserved liver function but limited functional liver volume after receiving prior hepatotoxic chemotherapy or surgical resection. METHODS This phase I trial with a 3 + 3 design evaluated the safety of liver-directed radiotherapy using escalating functional liver radiation dose constraints in patients with liver metastases. Dose-limiting toxicities were assessed 6-8 weeks and 6 months after completing radiotherapy. RESULTS All 12 patients had colorectal liver metastases and received prior hepatotoxic chemotherapy; 8 patients underwent prior liver resection. Median computed tomography anatomical nontumor liver volume was 1584 cc (range = 764-2699 cc). Median SPECT functional liver volume was 1117 cc (range = 570-1928 cc). Median nontarget computed tomography and SPECT liver volumes below the volumetric dose constraint were 997 cc (range = 544-1576 cc) and 684 cc (range = 429-1244 cc), respectively. The prescription dose was 67.5-75 Gy in 15 fractions or 75-100 Gy in 25 fractions. No dose-limiting toxicities were observed during follow-up. One-year in-field control was 57%. One-year overall survival was 73%. CONCLUSION Liver-directed radiotherapy can be safely delivered to high doses when incorporating functional SPECT into the radiation treatment planning process, which may enable sparing of lower volumes of liver than traditionally accepted in patients with preserved liver function. TRIAL REGISTRATION NCT02626312.
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Affiliation(s)
- Enoch Chang
- Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Franklin C L Wong
- Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Beth A Chasen
- Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - William D Erwin
- Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Prajnan Das
- Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Emma B Holliday
- Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Albert C Koong
- Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ethan B Ludmir
- Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bruce D Minsky
- Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sonal S Noticewala
- Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Grace L Smith
- Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cullen M Taniguchi
- Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Maria J Rodriguez
- Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sam Beddar
- Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Joshua S Niedzielski
- Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gabriel O Sawakuchi
- Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Emil Schueler
- Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luis A Perles
- Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lianchun Xiao
- Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Janio Szklaruk
- Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Peter C Park
- Radiology Physics, University of California, Davis, Davis, CA, USA
| | - Arvind N Dasari
- Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ahmed O Kaseb
- Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bryan K Kee
- Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sunyoung S Lee
- Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael J Overman
- Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason A Willis
- Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert A Wolff
- Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ching-Wei D Tzeng
- Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jean-Nicolas Vauthey
- Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eugene J Koay
- Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Tsai YL, Yu PC, Nien HH, Lu TP. Time variation of high-risk groups for liver function deteriorations within fluctuating long-term liver function after hepatic radiotherapy in patients with hepatocellular carcinoma. Eur J Med Res 2024; 29:104. [PMID: 38326881 PMCID: PMC10848403 DOI: 10.1186/s40001-024-01692-z] [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: 05/02/2023] [Accepted: 01/20/2024] [Indexed: 02/09/2024] Open
Abstract
PURPOSE The purpose of this study is to find essential risk factors associated with liver function (LF) deteriorations within fluctuating long-term LF and their time-varying effects in patients with hepatocellular carcinoma (HCC) receiving hepatic radiotherapy and to identify high-risk groups for adverse LF deteriorations and their changes over time in facilitating the prevention of hepatic decompensation and the improvement of survival. MATERIALS AND METHODS A total of 133 HCC patients treated by hepatic radiotherapy were enrolled. A study design was conducted to convert posttreatment long-term LF with fluctuating levels over time to recurrent LF events using defined upgrades in a grading scale. The hazard ratios (HR) of pretreatment biochemical, demographic, clinical, and dosimetric factors in developing posttreatment LF events were estimated using the Cox model. Methodologies of the counting process approach, robust variance estimation, goodness-of-fit testing based on the Schoenfeld residuals, and time-dependent covariates in survival analysis were employed to handle the correlation within subjects and evaluate the time-varying effects during long-term follow-up. RESULTS Baseline LF score before radiotherapy and gender were significant factors. Initial HR in developing LF events was 1.17 (95% CI 1.11-1.23; P < 0.001) for each increase of baseline LF score and kept almost constant over time (HR, 1.00; 95% CI 1.00-1.01; P = 0.065). However, no difference was observed regarding initial hazards for gender (HR, 1.00; 95% CI 0.64-1.56; P = 0.994), but the hazard for women got higher monthly over time compared with men (HR, 1.04; 95% CI 1.01-1.07; P = 0.006). CONCLUSIONS High-risk groups for adverse LF deteriorations after hepatic radiotherapy may change over time. Patients with poor baseline LF are vulnerable from the beginning. Women require prevention strategies and careful monitoring for deteriorations at a later stage.
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Affiliation(s)
- Yu-Lun Tsai
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Radiation Oncology, Cathay General Hospital, Taipei, Taiwan
| | - Pei-Chieh Yu
- Department of Radiation Oncology, Cathay General Hospital, Taipei, Taiwan
- School of Medicine, China Medical University, Taichung, Taiwan
| | - Hsin-Hua Nien
- Department of Radiation Oncology, Cathay General Hospital, Taipei, Taiwan
- School of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan
- Institute of Biomedical Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Tzu-Pin Lu
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
- Bioinformatics and Biostatistics Core, Center of Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan.
- Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan.
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3
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Kirichenko A, Uemura T, Liang Y, Hasan S, Abel S, Renz P, Shamsesfandabadi P, Carpenter J, Yin Y, Thai N. Stereotactic Body Radiation Therapy (SBRT) for Hepatocellular Carcinoma (HCC) With Single Photon Emission Computed Tomography (SPECT) Functional Treatment Planning in Patients With Advanced Hepatic Cirrhosis. Adv Radiat Oncol 2024; 9:101367. [PMID: 38405302 PMCID: PMC10885583 DOI: 10.1016/j.adro.2023.101367] [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: 03/28/2023] [Accepted: 08/19/2023] [Indexed: 02/27/2024] Open
Abstract
Purpose We report on the feasibility and outcomes of liver stereotactic body radiation therapy (SBRT) for hepatocellular carcinoma (HCC) with single-photon emission computed tomography (SPECT) functional treatment planning in patients with Child-Pugh (CP) B/C cirrhosis. Methods and Materials Liver SPECT with 99mTc-sulfur colloid was coregistered to treatment planning computed tomography (CT) for the guided avoidance of functional hepatic parenchyma during SBRT. Functional liver volumes (FLVs) obtained from SPECT were compared with anatomic liver volumes defined on the planning CT. Radiation dose constraints were adapted exclusively to FLV. Local control, toxicity, and survival were reported with at least 6 months of radiographic follow-up. Pre- and posttransplant outcomes were analyzed in a subset of patients who completed SBRT as a bridge to liver transplant. Model of End-Stage Liver Disease was used to score hepatic function before and after SBRT completion. Results With a median follow-up of 32 months, 45 patients (58 lesions) with HCC and CP-B/C cirrhosis received SBRT to a median dose of 45 Gy (3-5 fractions). FLV loss (34%, P < .001) was observed in all patients, and the functional and anatomic liver volumes matched well in a control group of noncirrhotic/non-HCC patients. Despite marked functional parenchyma retraction, the amount of FLV on SPECT exposed to the threshold irradiation was significantly less than the CT liver volumes (P < .001) because of the optimized beam placement during dosimetry planning. Twenty-three patients (51%) successfully completed orthotopic liver transplant, with a median time to transplant of 9.2 months. With 91% in-field local control, the overall 2-year survival was 65% (90% after the orthotopic liver transplant), with no incidence of radiation-induced liver disease observed within 3 to 4 months or accelerated CP class migration from B to C within the first 6 months post-SBRT. Mean Model of End-Stage Liver Disease-Na score was not significantly elevated at 3-month intervals after SBRT completion. Conclusions Functional treatment planning with 99mTc sulfur colloid SPECT/CT allows identification and avoidance of functional hepatic parenchyma in patients with CP-B/C cirrhosis, leading to low toxicity and satisfactory transplant outcomes.
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Affiliation(s)
- Alexander Kirichenko
- Division of Radiation Oncology, Allegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania
| | - Tadahiro Uemura
- Division of Abdominal Transplantation and Hepato-Biliary Surgery, Allegheny General Hospital, Pittsburgh, Pennsylvania
| | - Yun Liang
- Division of Radiation Oncology, Allegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania
| | | | - Steven Abel
- Division of Radiation Oncology, Allegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania
| | - Paul Renz
- Division of Radiation Oncology, Allegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania
| | - Parisa Shamsesfandabadi
- Division of Radiation Oncology, Allegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania
| | - Jennifer Carpenter
- Division of Abdominal Transplantation and Hepato-Biliary Surgery, Allegheny General Hospital, Pittsburgh, Pennsylvania
| | - Yue Yin
- Allegheny-Singer Research Institute, Biostatistics, Allegheny Health Network, Pittsburgh, Pennsylvania
| | - Ngoc Thai
- Division of Abdominal Transplantation and Hepato-Biliary Surgery, Allegheny General Hospital, Pittsburgh, Pennsylvania
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Zaki P, Chuong MD, Schaub SK, Lo SS, Ibrahim M, Apisarnthanarax S. Proton Beam Therapy and Photon-Based Magnetic Resonance Image-Guided Radiation Therapy: The Next Frontiers of Radiation Therapy for Hepatocellular Carcinoma. Technol Cancer Res Treat 2023; 22:15330338231206335. [PMID: 37908130 PMCID: PMC10621304 DOI: 10.1177/15330338231206335] [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: 08/17/2022] [Revised: 08/21/2023] [Accepted: 09/21/2023] [Indexed: 11/02/2023] Open
Abstract
External beam radiation therapy (EBRT) has increasingly been utilized in the treatment of hepatocellular carcinoma (HCC) due to technological advances with positive clinical outcomes. Innovations in EBRT include improved image guidance, motion management, treatment planning, and highly conformal techniques such as intensity-modulated radiation therapy (IMRT) and stereotactic body radiation therapy (SBRT). Moreover, proton beam therapy (PBT) and magnetic resonance image-guided radiation therapy (MRgRT) have expanded the capabilities of EBRT. PBT offers the advantage of minimizing low- and moderate-dose radiation to the surrounding normal tissue, thereby preserving uninvolved liver and allowing for dose escalation. MRgRT provides the advantage of improved soft tissue delineation compared to computerized tomography (CT) guidance. Additionally, MRgRT with online adaptive therapy is particularly useful for addressing motion not otherwise managed and reducing high-dose radiation to the normal tissue such as the stomach and bowel. PBT and online adaptive MRgRT are emerging technological advancements in EBRT that may provide a significant clinical benefit for patients with HCC.
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Affiliation(s)
- Peter Zaki
- Department of Radiation Oncology, University of Washington, Seattle, WA, USA
| | - Michael D. Chuong
- Department of Radiation Oncology, Miami Cancer Institute, Miami, FL, USA
| | - Stephanie K. Schaub
- Department of Radiation Oncology, University of Washington, Seattle, WA, USA
| | - Simon S. Lo
- Department of Radiation Oncology, University of Washington, Seattle, WA, USA
| | - Mariam Ibrahim
- School of Medicine, St. George's University, St. George's, Grenada
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5
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Tadimalla S, Wang W, Haworth A. Role of Functional MRI in Liver SBRT: Current Use and Future Directions. Cancers (Basel) 2022; 14:cancers14235860. [PMID: 36497342 PMCID: PMC9739660 DOI: 10.3390/cancers14235860] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 11/30/2022] Open
Abstract
Stereotactic body radiation therapy (SBRT) is an emerging treatment for liver cancers whereby large doses of radiation can be delivered precisely to target lesions in 3-5 fractions. The target dose is limited by the dose that can be safely delivered to the non-tumour liver, which depends on the baseline liver functional reserve. Current liver SBRT guidelines assume uniform liver function in the non-tumour liver. However, the assumption of uniform liver function is false in liver disease due to the presence of cirrhosis, damage due to previous chemo- or ablative therapies or irradiation, and fatty liver disease. Anatomical information from magnetic resonance imaging (MRI) is increasingly being used for SBRT planning. While its current use is limited to the identification of target location and size, functional MRI techniques also offer the ability to quantify and spatially map liver tissue microstructure and function. This review summarises and discusses the advantages offered by functional MRI methods for SBRT treatment planning and the potential for adaptive SBRT workflows.
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Affiliation(s)
- Sirisha Tadimalla
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia
- Correspondence:
| | - Wei Wang
- Crown Princess Mary Cancer Centre, Sydney West Radiation Oncology Network, Western Sydney Local Health District, Sydney, NSW 2145, Australia
| | - Annette Haworth
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia
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6
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Zhou PX, Zhang Y, Zhang QB, Zhang GQ, Yu H, Zhang SX. Functional Liver Imaging in Radiotherapy for Liver Cancer: A Systematic Review and Meta-Analysis. Front Oncol 2022; 12:898435. [PMID: 35785217 PMCID: PMC9247161 DOI: 10.3389/fonc.2022.898435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/19/2022] [Indexed: 11/13/2022] Open
Abstract
Backgrounds Functional liver imaging can identify functional liver distribution heterogeneity and integrate it into radiotherapy planning. The feasibility and clinical benefit of functional liver-sparing radiotherapy planning are currently unknown. Methods A comprehensive search of several primary databases was performed to identify studies that met the inclusion criteria. The primary objective of this study was to evaluate the dosimetric and clinical benefits of functional liver-sparing planning radiotherapy. Secondary objectives were to assess the ability of functional imaging to predict the risk of radiation-induced liver toxicity (RILT), and the dose-response relationship after radiotherapy. Results A total of 20 publications were enrolled in descriptive tables and meta-analysis. The meta-analysis found that mean functional liver dose (f-MLD) was reduced by 1.0 Gy [95%CI: (-0.13, 2.13)], standard mean differences (SMD) of functional liver volume receiving ≥20 Gy (fV20) decreased by 0.25 [95%CI: (-0.14, 0.65)] when planning was optimized to sparing functional liver (P >0.05). Seven clinical prospective studies reported functional liver-sparing planning-guided radiotherapy leads to a low incidence of RILD, and the single rate meta-analysis showed that the RILD (defined as CTP score increase ≥2) incidence was 0.04 [95%CI: (0.00, 0.11), P <0.05]. Four studies showed that functional liver imaging had a higher value to predict RILT than conventional anatomical CT. Four studies established dose-response relationships in functional liver imaging after radiotherapy. Conclusion Although functional imaging modalities and definitions are heterogeneous between studies, but incorporation into radiotherapy procedures for liver cancer patients may provide clinical benefits. Further validation in randomized clinical trials will be required in the future.
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Affiliation(s)
| | | | | | | | | | - Shu-Xu Zhang
- Radiotherapy Center, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
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7
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Shao L, Wang X, Yu Y, Xie J. Comparative analysis of the efficacy and accuracy of magnetic resonance imaging (MRI) and contrast-enhanced CT for residual and new lesions after transcatheter arterial chemoembolization (TACE) in patients with primary liver cancer. Transl Cancer Res 2022; 10:3739-3747. [PMID: 35116674 PMCID: PMC8798762 DOI: 10.21037/tcr-21-831] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 08/12/2021] [Indexed: 12/12/2022]
Abstract
Background The purpose of this study was to investigate the efficacy and accuracy of magnetic resonance imaging (MRI) and contrast-enhanced computed tomography (CECT) for residual and new lesions after transcatheter arterial chemoembolization (TACE) in patients with primary liver cancer (PHC). Methods Seventy-two PHC patients admitted to Linyi Central Hospital from May 2018 to May 2020 were selected as the study subjects, with a total of 92 lesions. All patients were treated with TACE, and were followed up at 6 months postoperatively. In addition, all patients underwent digital subtraction angiography (DSA), and with DSA results serving as the gold standard for diagnosis, the efficacy and accuracy of MRI and CECT for residual and new lesions after TACE in PHC patients were evaluated. Results There were no significant differences in the specificity between the two diagnostic methods (P>0.05), and the diagnostic accuracy and sensitivity of MRI were markedly higher than those of CECT (P<0.05). The number of residual and new lesions diagnosed by MRI was notably higher than that by multislice spiral computed tomography (MSCT) (P<0.05), and the detection rate of residual and new lesions after TACE in PHC patients with different types of iodized oil deposition by MRI was significantly higher than that by CECT (P<0.05). Also, the number of postoperative tumor capsules diagnosed by MRI was considerably higher than that by CECT (P<0.05). There were no significant differences between the two diagnostic methods in the score of residual enhancement appearances in the arterial phase after surgery (P>0.05). Furthermore, there were no notable differences between the two diagnostic methods in the diagnosis of portal vein tumorous emboli and the source of blood supply to lesions after surgery (P>0.05). Conclusions The diagnostic accuracy and sensitivity of MRI for residual and new lesions after TACE in PHC patients were higher than those of CECT. However, these two diagnostic methods were similar in diagnosing portal vein tumorous emboli, the source of blood supply to lesions, and the score of residual enhancement appearances in the arterial phase after surgery.
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Affiliation(s)
- Liang Shao
- Department of Radiology, Maternity and Child Health Care of Zaozhuang, Zaozhuang, China
| | - Xiaolei Wang
- Department of Radiology, Maternity and Child Health Care of Zaozhuang, Zaozhuang, China
| | - Yongtao Yu
- Department of Radiology, Linyi Central Hospital, Linyi, China
| | - Jiangwei Xie
- Department of Radiology, Linyi Central Hospital, Linyi, China
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8
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Chamseddine I, Kim Y, De B, El Naqa I, Duda DG, Wolfgang J, Pursley J, Paganetti H, Wo J, Hong T, Koay EJ, Grassberger C. Predictive Modeling of Survival and Toxicity in Patients With Hepatocellular Carcinoma After Radiotherapy. JCO Clin Cancer Inform 2022; 6:e2100169. [PMID: 35192402 PMCID: PMC8863122 DOI: 10.1200/cci.21.00169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 12/20/2021] [Accepted: 01/06/2022] [Indexed: 11/20/2022] Open
Abstract
PURPOSE To stratify patients and aid clinical decision making, we developed machine learning models to predict treatment failure and radiation-induced toxicities after radiotherapy (RT) in patients with hepatocellular carcinoma across institutions. MATERIALS AND METHODS The models were developed using linear and nonlinear algorithms, predicting survival, nonlocal failure, radiation-induced liver disease, and lymphopenia from baseline patient and treatment parameters. The models were trained on 207 patients from Massachusetts General Hospital. Performance was quantified using Harrell's c-index, area under the curve (AUC), and accuracy in high-risk populations. Models' structures were optimized in a nested cross-validation approach to prevent overfitting. A study analysis plan was registered before external validation using 143 patients from MD Anderson Cancer Center. Clinical utility was assessed using net-benefit analysis. RESULTS The survival model stratified high-risk versus low-risk patients well in the external validation cohort (c-index = 0.75), better than existing risk scores. Predictions of 1-year survival and nonlocal failure were excellent (external AUC = 0.74 and 0.80, respectively), especially in the high-risk group (accuracy > 90%). Cause-of-death analysis showed differential modes of treatment failure in these cohorts and indicated that these models could be used to stratify RT patients for liver-sparing treatment regimen or combination approaches with systemic agents. Predictions of liver disease and lymphopenia were good but less robust (external AUC = 0.68 and 0.7, respectively), suggesting the need for more comprehensive consideration of dosimetry and better predictive biomarkers. The liver disease model showed excellent accuracy in the high-risk group (92%) and revealed possible interactions of platelet count with initial liver function. CONCLUSION Machine learning approaches can provide reliable outcome predictions in patients with hepatocellular carcinoma after RT in diverse cohorts across institutions. The excellent performance, particularly in high-risk patients, suggests novel strategies for patient stratification and treatment selection.
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Affiliation(s)
- Ibrahim Chamseddine
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Yejin Kim
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Korean Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Brian De
- Department of Radiation Oncology, University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Issam El Naqa
- Department of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Dan G. Duda
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - John Wolfgang
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Jennifer Pursley
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Harald Paganetti
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Jennifer Wo
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Theodore Hong
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Eugene J. Koay
- Department of Radiation Oncology, University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Clemens Grassberger
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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9
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Shanker MD, Moodaley P, Soon W, Liu HY, Lee YY, Pryor DI. Stereotactic ablative radiotherapy for hepatocellular carcinoma: A systematic review and meta-analysis of local control, survival and toxicity outcomes. J Med Imaging Radiat Oncol 2021; 65:956-968. [PMID: 34396706 DOI: 10.1111/1754-9485.13309] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 07/26/2021] [Indexed: 12/13/2022]
Abstract
There is a growing body of literature supporting the use of stereotactic ablative body radiotherapy (SABR) in the management of primary hepatocellular carcinoma (HCC). This systematic review and meta-analysis of the current published evidence for SABR for HCC assessed the impact of treatment dose, fractionation and tumour size on the outcomes of local control (LC), overall survival (OS) and toxicity. A systematic search was independently performed by two authors for articles published in peer-reviewed journals between January 2005 and December 2019. A DerSimonian and Laird random effects model was used to assess pooled results. A multivariate meta-regression analysis incorporated the effect of explanatory variables (radiation dose in EQD2[10], fractionation and tumour size) on outcomes of OS, LC and toxicity. Forty-nine cohorts involving 2846 HCC patients with 3088 lesions treated with SABR were included. Pooled 1-, 2- and 3-year LC rates were 91.1% (95% confidence interval [CI] 88.3-93.2), 86.7% (95% CI 82.7-89.8) and 84.2% (95% CI 77.9-88.9) respectively. Pooled 1-, 2- and 3-year OS rates were 78.4% (95% CI 73.4-82.6), 61.3% (55.2-66.9) and 48.3% (95% CI 39.0-57). Population-weighted median grade 3 toxicity rates were 6.5% (IQR 3.2-16) and mean grade 4/5 rates were 1.4% (IQR 0-2.1). Within EQD2[10] ranges of 40 to 83.33 Gy corresponding to common dose-fractionation regimens of 30-50 Gy in 5 fractions, there was a multivariate association between superior LC and OS with increasing EQD2[10] , with a proportionately smaller increase in grade 3 toxicity and no association with grade 4/5 toxicity. Stereotactic ablative body radiotherapy is a viable treatment option for HCC with high LC rates and low rates of reported grade 3/4 toxicity. Increasing EQD2[10] was associated with improvements in LC and OS with a comparatively smaller increase in toxicity. Prospective randomised trials are warranted to define optimal patient selection and dose-fractionation regimens.
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Affiliation(s)
- Mihir D Shanker
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Pereshin Moodaley
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.,Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Wei Soon
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Howard Y Liu
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Yoo Young Lee
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - David I Pryor
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
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Shanker MD, Liu HY, Lee YY, Stuart KA, Powell EE, Wigg A, Pryor DI. Stereotactic radiotherapy for hepatocellular carcinoma: Expanding the multidisciplinary armamentarium. J Gastroenterol Hepatol 2021; 36:873-884. [PMID: 32632941 DOI: 10.1111/jgh.15175] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 06/23/2020] [Accepted: 07/01/2020] [Indexed: 12/14/2022]
Abstract
Hepatocellular carcinoma (HCC) is the fifth most common malignancy worldwide and the third most common cause of cancer-related death. Long-term prognosis remains poor with treatment options frequently limited by advanced tumor stage, tumor location, or underlying liver dysfunction. Stereotactic ablative body radiotherapy (SABR) utilizes technological advances to deliver highly precise, tumoricidal doses of radiation. There is an emerging body of literature on SABR in HCC demonstrating high rates of local control in the order of 80-90% at 3 years. SABR is associated with a low risk of radiation-induced liver disease or decompensation in appropriately selected HCC patients with compensated liver function and is now being incorporated into guidelines as an additional treatment option. This review outlines the emerging role of SABR in the multidisciplinary management of HCC and summarizes the current evidence for its use as an alternative ablative option for early-stage disease, as a bridge to transplant, and as palliation for advanced-stage disease. We outline specific considerations regarding patient selection, toxicities, and response assessment. Finally, we compare current international guidelines and recommendations for the use of SABR and summarize ongoing studies.
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Affiliation(s)
- Mihir D Shanker
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Howard Y Liu
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Yoo Young Lee
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Katherine A Stuart
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.,Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Elizabeth E Powell
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.,Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Alan Wigg
- Hepatology and Liver Transplantation Medicine Unit, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - David I Pryor
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
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Fujimoto K, Shiinoki T, Yuasa Y, Tanaka H. Estimation of liver elasticity using the finite element method and four-dimensional computed tomography images as a biomarker of liver fibrosis. Med Phys 2021; 48:1286-1298. [PMID: 33449406 DOI: 10.1002/mp.14723] [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: 05/15/2020] [Revised: 01/08/2021] [Accepted: 01/08/2021] [Indexed: 10/22/2022] Open
Abstract
PURPOSE Current radiotherapy planning procedures are generally designed based on anatomical information only and use computed tomography (CT) images that do not incorporate organ-functional information. In this study, we developed a method for estimating liver elasticity using the finite element method (FEM) and four-dimensional CT (4DCT) images acquired during radiotherapy planning, and we subsequently evaluated its feasibility as a biomarker for liver fibrosis. MATERIALS AND METHODS Twenty patients who underwent 4DCT and ultrasound-based transient elastography (UTE) were enrolled. All patients had chronic liver disease or cirrhosis. Liver elasticity measurements of the UTE were performed on the right lobe of the patient's liver in 20 patients. The serum biomarkers of the aspartate aminotransferase (AST)-to-platelet ratio index (APRI) and fibrosis-4 index (FIB-4) were available in 18 of the 20 total patients, which were measured within 1 week after undergoing 4DCT. The displacement between the 4DCT images obtained at the endpoints of exhalation and inspiration was determined using the actual (via deformable image registration) and simulated (via FEM) respiration-induced displacement. The elasticity of each element of the liver model was optimized by minimizing the error between the actual and simulated respiration-induced displacement. Then, each patient's estimated liver elasticity was defined as the mean Young's modulus of the liver's right lobe and that of the whole liver using the estimated elasticity map. The estimated liver elasticity was evaluated for correlations with the elasticity obtained via UTE and with two serum biomarkers (APRI and FIB-4). RESULTS The mean ± standard deviation (SD) of the errors between the actual and simulated respiration-induced displacement in the liver model was 0.54 ± 0.33 mm. The estimated liver's right lobe elasticity was statistically significantly correlated with the UTE (r = 0.87, P < 0.001). Furthermore, the estimated whole liver elasticity was statistically significantly correlated with the UTE (r = 0.84, P < 0.001), APRI score (r = 0.62, P = 0.005), and FIB-4 score (r = 0.54, P = 0.021). CONCLUSION In this study, liver elasticity was estimated through FEM-based simulation and actual respiratory-induced liver displacement obtained from 4DCT images. Furthermore, we assessed that the estimated elasticity of the liver's right lobe was strongly correlated with the UTE. Therefore, the estimated elasticity has the potential to be a feasible imaging biomarker for assessing liver fibrosis using only 4DCT images without additional inspection or equipment costs. Because our results were derived from a limited sample of 20 patients, it is necessary to evaluate the accuracy of elasticity estimation for each liver segment on larger groups of biopsied patients to utilize liver elasticity information for radiotherapy planning.
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Affiliation(s)
- Koya Fujimoto
- Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minamikogushi, Ube, Yamaguchi, 755-8535, Japan
| | - Takehiro Shiinoki
- Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minamikogushi, Ube, Yamaguchi, 755-8535, Japan
| | - Yuki Yuasa
- Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minamikogushi, Ube, Yamaguchi, 755-8535, Japan
| | - Hidekazu Tanaka
- Department of Radiation Oncology, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minamikogushi, Ube, Yamaguchi, 755-8535, Japan
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12
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Tsai YL, Takei H, Iizumi T, Okumura T, Sekino Y, Numajiri H, Ishikawa H, Sakae T, Sakurai H. Capacity of proton beams in preserving normal liver tissue during proton beam therapy for hepatocellular carcinoma. JOURNAL OF RADIATION RESEARCH 2021; 62:133-141. [PMID: 33392617 PMCID: PMC7779355 DOI: 10.1093/jrr/rraa098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/26/2020] [Accepted: 09/29/2020] [Indexed: 06/12/2023]
Abstract
Unirradiated liver volume (ULV) preservation rate is an important factor associated with radiation-induced liver disease (RILD) in patients with hepatocellular carcinoma (HCC) undergoing proton beam therapy (PBT). The purpose of this study is to identify the predictors for ULV preservation and quantify the capacity of proton beams in normal liver sparing during PBT. We reviewed planning data of 92 patients with single intrahepatic HCC tumors undergoing PBT. The potential clinical and planning factors that may affect ULV preservation were involved in multiple linear regression for ULV preservation rate. The significant factors were determined to be predictors and their influences were quantified. The median ULV preservation rate was 62.08%. All the assessed clinical factors showed significant effects on ULV preservation rate: clinical target volume (CTV), P < 0.001; portal vein tumor thrombosis (PVTT), P = 0.010; left lobe tumor, P = 0.010. In contrast, none of the planning factors demonstrated significance. The coefficients of significant factors in multiple linear regression were 60.85 for intercept, -0.02 for CTV, -9.01 for PVTT and 8.31 for left lobe tumors. The capacity of proton beams to spare normal liver tissue during PBT for HCC is mainly affected by clinical factors. The baseline of the ULV preservation rate is 60.85%, decreasing 0.02% with each milliliter of CTV increase and 9.01% for tumors with PVTT, and increasing 8.31% for tumors limited to the left lobe. Further clinical studies should be carried out to correlate our dosimetric findings with clinical outcomes.
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Affiliation(s)
- Yu-Lun Tsai
- Corresponding author. Department of Radiation Oncology, Cathay General Hospital, 280 Renai Rd. Sec.4, Taipei, Taiwan. Tel: +886227082121#3711; E-mail:
| | - Hideyuki Takei
- Proton Medical Research Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Takashi Iizumi
- Proton Medical Research Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Department of Radiation Oncology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Toshiyuki Okumura
- Proton Medical Research Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Department of Radiation Oncology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Yuta Sekino
- Proton Medical Research Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Department of Radiation Oncology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Haruko Numajiri
- Proton Medical Research Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Department of Radiation Oncology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Hitoshi Ishikawa
- Proton Medical Research Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Department of Radiation Oncology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Takeji Sakae
- Proton Medical Research Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Hideyuki Sakurai
- Proton Medical Research Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Department of Radiation Oncology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
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Long DE, Ellsworth SG. In Regard to Schaub et al. Int J Radiat Oncol Biol Phys 2019; 103:1284-1285. [DOI: 10.1016/j.ijrobp.2018.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 10/26/2018] [Accepted: 12/05/2018] [Indexed: 10/27/2022]
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Schaub SK, Apisarnthanarax S, Bowen SR. In Reply to Long and Ellsworth. Int J Radiat Oncol Biol Phys 2019; 103:1285-1286. [DOI: 10.1016/j.ijrobp.2018.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 12/04/2018] [Accepted: 12/05/2018] [Indexed: 11/25/2022]
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