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Gharzai LA, Wang C, Tang M, Jackson WC, Maurino C, Cousins MM, Mendiratta-Lala M, Parikh ND, Mayo CS, Haken RKT, Owen D, Cuneo KC, Schipper MJ, Lawrence TS. Efficacy of a Second Course of Radiation for Patients With Metachronous Hepatocellular Carcinoma. Pract Radiat Oncol 2023; 13:e504-e514. [PMID: 37295727 DOI: 10.1016/j.prro.2023.05.008] [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: 01/30/2023] [Revised: 04/17/2023] [Accepted: 05/25/2023] [Indexed: 06/12/2023]
Abstract
PURPOSE Liver-directed radiation therapy is an effective treatment for hepatocellular carcinoma (HCC), but metachronous lesions develop outside the irradiated field in >50% of patients. We hypothesized that irradiation of these new lesions would produce an outcome like that of patients receiving a first course (C1) of treatment. METHODS AND MATERIALS We included patients with HCC who received a second course (C2) of radiation therapy >1 month after C1. Toxicity was defined as Child-Pugh score increase ≥2 within 6 months posttreatment (binary model) and as the change in albumin-bilirubin during the year after treatment (longitudinal model). Overall survival (OS) and local failure (LF) were captured at the patient and lesion level, respectively; both were summarized with Kaplan-Meier estimates. Predictors of toxicity and OS were assessed using generalized linear mixed and Cox regression models, respectively. RESULTS Of 340 patients with HCC, 47 underwent irradiation for metachronous HCC, receiving similar prescription dose in C1/C2. Median follow-up was 17 months after C1 and 15 months after C2. Twenty-two percent of patients experienced toxicity after C1, and 25% experienced toxicity after C2. Worse baseline albumin-bilirubin predicted toxicity in both binary (odds ratio, 2.40; 95% CI, 1.46-3.94; P = .0005) and longitudinal models (P < .005). Two-year LF rate was 11.2% after C1 and 8.3% after C2; tumor dose (hazard ratio [HR], 0.982; 95% CI, 0.969-0.995; P = .007) and tumor size (HR, 1.135; 95% CI, 1.068-1.206; P < .005) predicted LF. Two-year OS was 46.0% after C1 and 42.6% after C2; tumor dose (HR, 0.986; 95% CI, 0.979-0.992; P < .005) and tumor size (HR, 1.049; 95% CI, 1.010-1.088; P = .0124) predicted OS. Reirradiation was not associated with toxicity (P > .7), LF (P = .79), or OS (P = .39). CONCLUSIONS In this largest series in the Western hemisphere, we demonstrate that irradiation for metachronous HCC offers low rates of LF with acceptable toxicity and OS like that of patients receiving a C1. These findings support judicious selection of patients for reirradiation in metachronous HCC.
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Affiliation(s)
- Laila A Gharzai
- Department of Radiation Oncology, Northwestern University, Evanston, Illinois.
| | - Chang Wang
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Ming Tang
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - William C Jackson
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Christopher Maurino
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Matthew M Cousins
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | | | - Neehar D Parikh
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan
| | - Charles S Mayo
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Randall K Ten Haken
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Dawn Owen
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Kyle C Cuneo
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Matthew J Schipper
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Theodore S Lawrence
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
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Zeng S, Wang Z, Zhu Q, Li X, Ren H, Qian B, Hu F, Xu L, Zhai B. Identification of risk and prognostic factors for intrahepatic vascular invasion in patients with hepatocellular carcinoma: a population-based study. Transl Cancer Res 2023; 12:93-112. [PMID: 36760382 PMCID: PMC9906056 DOI: 10.21037/tcr-22-1912] [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: 06/19/2022] [Accepted: 11/11/2022] [Indexed: 01/09/2023]
Abstract
Background The aim of this study was to develop nomograms to predict the risk of intrahepatic vascular invasion (IVI) of hepatocellular carcinoma (HCC) patients and estimate the overall survival (OS) and cancer-specific survival (CSS) of HCC patients with IVI. Methods The Surveillance, Epidemiology, and End Results (SEER) database was used to identify patients with HCC from 2010 to 2015. Ultimately, 1,287 HCC patients with IVI were included in this study and randomly divided into training (n=901) and validation (n=386) cohorts. Multivariate logistic regression analysis and multivariate Cox proportional hazards regression analysis were performed to construct nomograms to visually quantify the risk of IVI in patients with HCC and predict the prognosis. The prediction effect of nomograms was evaluated using Harrell's concordance index (C-index), receiver operating characteristic (ROC) curve, calibration plots, and decision curve analysis (DCA), respectively. Results The C-index of the nomogram for risk prediction was 0.730. The C-indices based on the nomogram were 0.762 [95% confidence interval (CI): 0.745-0.779] and 0.770 (95% CI: 0.753-0.787) for OS and CSS prediction in the training cohort, respectively. In the validation cohort, the C-indices were 0.779 (95% CI: 0.752-0.806) and 0.795 (95% CI: 0.768-0.822) for OS prediction and CSS prediction, respectively. Overall, the ROC curve, calibration plots, and DCA indicated the good performance of nomograms. Conclusions We identified the relevant risk and prognostic factors for IVI in patients with HCC. The nomograms performed well on validation and may help to facilitate clinical decision-making.
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Affiliation(s)
- Shicong Zeng
- Department of Surgical Oncology and Hepatobiliary Surgery, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zongwen Wang
- Department of Surgical Oncology and Hepatobiliary Surgery, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Qiankun Zhu
- Department of Surgical Oncology and Hepatobiliary Surgery, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xiaodong Li
- Department of Surgical Oncology and Hepatobiliary Surgery, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Haiyang Ren
- Department of Surgical Oncology and Hepatobiliary Surgery, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Bo Qian
- Department of Gastroenterology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Fengli Hu
- Department of Gastroenterology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Lishan Xu
- Department of Surgical Oncology and Hepatobiliary Surgery, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Bo Zhai
- Department of Surgical Oncology and Hepatobiliary Surgery, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
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Luo Y, Cuneo KC, Lawrence TS, Matuszak MM, Dawson LA, Niraula D, Ten Haken RK, El Naqa I. A human-in-the-loop based Bayesian network approach to improve imbalanced radiation outcomes prediction for hepatocellular cancer patients with stereotactic body radiotherapy. Front Oncol 2022; 12:1061024. [PMID: 36568208 PMCID: PMC9782976 DOI: 10.3389/fonc.2022.1061024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/01/2022] [Indexed: 12/13/2022] Open
Abstract
Background Imbalanced outcome is one of common characteristics of oncology datasets. Current machine learning approaches have limitation in learning from such datasets. Here, we propose to resolve this problem by utilizing a human-in-the-loop (HITL) approach, which we hypothesize will also lead to more accurate and explainable outcome prediction models. Methods A total of 119 HCC patients with 163 tumors were used in the study. 81 patients with 104 tumors from the University of Michigan Hospital treated with SBRT were considered as a discovery dataset for radiation outcomes model building. The external testing dataset included 59 tumors from 38 patients with SBRT from Princess Margaret Hospital. In the discovery dataset, 100 tumors from 77 patients had local control (LC) (96% of 104 tumors) and 23 patients had at least one grade increment of ALBI (I-ALBI) during six-month follow up (28% of 81 patients). Each patient had a total of 110 features, where 15 or 20 features were identified by physicians as expert knowledge features (EKFs) for LC or I-ALBI prediction. We proposed a HITL based Bayesian network (HITL-BN) approach to enhance the capability of selecting important features from imbalanced data in terms of accuracy and explainability through humans' participation by integrating feature importance ranking and Markov blanket algorithms. A pure data-driven Bayesian network (PD-BN) method was applied to the same discovery dataset of HCC patients as a benchmark. Results In the training and testing phases, the areas under receiver operating characteristic curves of the HITL-BN models for LC or I-ALBI prediction during SBRT are 0.85 (95% confidence interval: 0.75-0.95) or 0.89 (0.81-0.95) and 0.77 or 0.78, respectively. They significantly outperformed the during-treatment PD-BN model in predicting LC or I-ALBI based on the discovery cross-validation and testing datasets from the Delong tests. Conclusion By allowing the human expert to be part of the model building process, the HITL-BN approach yielded significantly improved accuracy as well as better explainability when dealing with imbalanced outcomes in the prediction of post-SBRT treatment response of HCC patients when compared to the PD-BN method.
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Affiliation(s)
- Yi Luo
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, United States,*Correspondence: Yi Luo,
| | - Kyle C. Cuneo
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Theodore S. Lawrence
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Martha M. Matuszak
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Laura A. Dawson
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Dipesh Niraula
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, United States
| | - Randall K. Ten Haken
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Issam El Naqa
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, United States
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Serafini A, Ruggeri V, Inchingolo R, Gatti M, Guarneri A, Maino C, Ippolito D, Grazioli L, Ricardi U, Faletti R. Liver magnetic resonance imaging for evaluation of response to treatment after stereotactic body radiation therapy of hepatocellular carcinoma. World J Hepatol 2022; 14:1790-1803. [PMID: 36185716 PMCID: PMC9521449 DOI: 10.4254/wjh.v14.i9.1790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/24/2022] [Accepted: 08/18/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Although stereotactic body radiation therapy (SBRT) is increasingly used, its application has not yet been regulated by the main international guidelines, leaving the decision to multidisciplinary teams.
AIM To assess magnetic resonance imaging (MRI) features of hepatocellular carcinoma (HCC) treated with SBRT, highlighting the efficacy of the treatment and the main aspects of the lesion before and after the procedure.
METHODS As part of a retrospective study, 49 patients who underwent SBRT for HCC between January 2013 and November 2019 were recruited. Each patient underwent a pre-treatment MRI examination with a hepatospecific contrast agent and a similar follow-up examination within 6 mo of therapy. In addition, 22 patients underwent a second follow-up examination after the first 6 mo. The following characteristics were analysed: Features analysed compared to pre-treatment MRI examination, presence or absence of infield and outfield progression, ring-like enhancement, signal hyperintensity in T2-weighted sequences in the perilesional parenchyma, capsular retraction, and "band" signal hypointensity in T1-weighted gradient echo fat saturated sequences obtained during hepatobiliary excretion.
RESULTS Signal hyperintensity in the T2-weighted sequences showed a statistically significant reduction in the number of lesions at the post-SBRT first control (P = 0.0006). Signal hyperintensity in diffusion-weighted imaging-weighted sequences was decreased at MRI first control (P < 0.0001). A statistically significant increase of apparent diffusion coefficient values from a median of 1.01 to 1.38 at the first post-control was found (P < 0.0001). Capsular retraction was increased at the late evaluation (P = 0.006). Band-like signal hypointensity in the hepatobiliary phase was present in 94% at the late control (P = 0.006). The study of the risk of outfield progression vs infield progression revealed a hazard ratio of 9.
CONCLUSION The efficacy of SBRT should be evaluated not in the first 6 mo, but at least 9 mo post-SBRT, when infield progression persists at very low rates while the risk of outfield progression increases significantly.
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Affiliation(s)
| | - Valeria Ruggeri
- Department of Radiology, University of Brescia, Brescia 25123, Italy
| | - Riccardo Inchingolo
- Interventional Radiology Unit, Miulli Hospital, Acquaviva Delle Fonti 70124, Italy
| | - Marco Gatti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Alessia Guarneri
- Department of Oncology-Radiation Oncology, University of Turin, Turin 10126, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, University of Milano-Bicocca, Monza 20900, Italy
| | - Davide Ippolito
- Department of Diagnostic Radiology, University of Milano-Bicocca, Monza 20900, Italy
| | - Luigi Grazioli
- Department of Radiology, Spedali Civili, University of Brescia, Brescia 25023, Italy
| | - Umberto Ricardi
- Department of Oncology-Radiation Oncology, University of Turin, Turin 10126, Italy
| | - Riccardo Faletti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
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Dossun C, Niederst C, Noel G, Meyer P. Evaluation of DIR algorithm performance in real patients for radiotherapy treatments: A systematic review of operator-dependent strategies. Phys Med 2022; 101:137-157. [PMID: 36007403 DOI: 10.1016/j.ejmp.2022.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/21/2022] [Accepted: 08/16/2022] [Indexed: 11/15/2022] Open
Abstract
PURPOSE The performance of deformable medical image registration (DIR) algorithms has become a major concern. METHODS We aimed to obtain updated information on DIR algorithm performance quantification through a literature review of articles published between 2010 and 2022. We focused only on studies using operator-based methods to treat real patients. The PubMed, Google Scholar and Embase databases were searched following PRISMA guidelines. RESULTS One hundred and seven articles were identified. The mean number of patients and registrations per publication was 20 and 63, respectively. We found 23 different geometric metrics appearing at least twice, and the dosimetric impact of DIR was quantified in 32 articles. Forty-eight different at-risk organs were described, and target volumes were studied in 43 publications. Prostate, head-and-neck and thoracic locations represented more than ¾ of the studied locations. We summarized the type of DIR and the images used, and other key elements. Intra/interobserver variability, threshold values and the correlation between metrics were also discussed. CONCLUSIONS This literature review covers the past decade and should facilitate the implementation of DIR algorithms in clinical practice by providing practical and pertinent information to quantify their performance on real patients.
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Affiliation(s)
- C Dossun
- Department of Radiotherapy, Institut de Cancerologie Strasbourg Europe (ICANS), Strasbourg, France
| | - C Niederst
- Department of Radiotherapy, Institut de Cancerologie Strasbourg Europe (ICANS), Strasbourg, France
| | - G Noel
- Department of Radiotherapy, Institut de Cancerologie Strasbourg Europe (ICANS), Strasbourg, France
| | - P Meyer
- Department of Radiotherapy, Institut de Cancerologie Strasbourg Europe (ICANS), Strasbourg, France; ICUBE, CNRS UMR 7357, Team IMAGES, Strasbourg, France.
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De Novo Malignancy After Liver Transplantation: Risk Assessment, Prevention, and Management-Guidelines From the ILTS-SETH Consensus Conference. Transplantation 2022; 106:e30-e45. [PMID: 34905760 DOI: 10.1097/tp.0000000000003998] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
De novo malignancies (DNMs) following liver transplantation (LT) have been reported as 1 of the major causes of late mortality, being the most common cause of death in the second decade after LT. The overall incidence of DNMs is reported to be in the range of 3.1% to 14.4%, and the incidence is 2- to 3-fold higher in transplant recipients than in age- and sex-matched healthy controls. Long-term immunosuppressive therapy, which is the key in maintaining host tolerance and achieving good long-term outcomes, is known to contribute to a higher risk of DNMs. However, the incidence and type of DNM also depends on different risk factors, including patient demographics, cause of the underlying chronic liver disease, behavior (smoking and alcohol abuse), and pre-existing premalignant conditions. The estimated standardized incidence ratio for different DNMs is also variable. The International Liver Transplantation Society-Spanish Society of Liver Transplantation Consensus Conference working group on DNM has summarized and discussed the current available literature on epidemiology, risk factors, management, and survival after DNMs. Recommendations for screening and surveillance for specific tumors, as well as immunosuppression and cancer-specific management in patients with DNM, are summarized.
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Eriguchi T, Takeda A, Tateishi Y, Tsurugai Y, Sanuki N, Ebinuma H, Horita N. Comparison of stereotactic body radiotherapy and radiofrequency ablation for hepatocellular carcinoma: Systematic review and meta-analysis of propensity score studies. Hepatol Res 2021; 51:813-822. [PMID: 33856722 DOI: 10.1111/hepr.13647] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 04/04/2021] [Accepted: 04/11/2021] [Indexed: 12/13/2022]
Abstract
AIM Stereotactic body radiotherapy (SBRT) is an emerging treatment for hepatocellular carcinoma (HCC) and has shown excellent local control (LC), as has radiofrequency ablation (RFA). As no randomized controlled trial has compared SBRT and RFA for HCC, data from a propensity score matched study (PSMS) are valuable. However, the results varied greatly and depended on composing factors of Barcelona Clinic Liver Cancer staging (BCLC-factors) adjusted. Therefore, we undertook a systematic review and meta-analyses of the studies focusing on BCLC-factors matching. METHODS We systematically searched PubMed, the Cochrane database, EMBASE, and Web of Science to identify studies comparing RFA and SBRT using propensity scores. The hazard ratios (HRs) of overall survival (OS) and LC from BCLC-factor-matched and -unmatched PSMS were pooled. Heterogeneity between the data from these studies was assessed. RESULTS Three BCLC-factor-matched studies were identified. Stereotactic body radiotherapy led to comparable OS (HR, 0.89; 95% CI, 0.74-1.08; p = 0.24; I2 = 0%; p for heterogeneity, 0.56) and significantly better LC (HR, 0.39; 95% CI, 0.30-0.51; p < 0.001; I2 = 0%; p for heterogeneity, 0.67). We also identified three additional BCLC-factor-unmatched studies (HR of OS, 1.41; 95% CI, 1.21-1.65; p < 0.0001; I2 = 0%; p for heterogeneity, 0.63). However, considerable heterogeneity was observed for HR of OS between BCLC-factor-matched and -unmatched studies (I2 = 92.6%; p for heterogeneity, 0.0002). CONCLUSIONS When BCLC-factors were properly adjusted, the results of the meta-analysis revealed equivalent OS and better LC for SBRT compared with RFA. Stereotactic body radiotherapy could be an alternative treatment option for HCC.
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Affiliation(s)
| | - Atsuya Takeda
- Radiation Oncology Center, Ofuna Chuo Hospital, Kamakura, Japan
| | - Yudai Tateishi
- Radiation Oncology Center, Ofuna Chuo Hospital, Kamakura, Japan
| | | | - Naoko Sanuki
- Radiation Oncology Center, Ofuna Chuo Hospital, Kamakura, Japan
| | - Hirotoshi Ebinuma
- Department of Gastroenterology and Hepatology, International University of Health and Welfare, Narita, Japan.,Center for Gastroenterology and Inflammatory Bowel Disease, Ofuna Chuo Hospital, Kamakura, Japan
| | - Nobuyuki Horita
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
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Prayongrat A, Srimaneekarn N, Sriswasdi S, Ito YM, Katoh N, Tamura M, Dekura Y, Toramatsu C, Khorprasert C, Amornwichet N, Alisanant P, Hirata Y, Hayter A, Shirato H, Shimizu S, Kobashi K. Assessment of the confidence interval in the multivariable normal tissue complication probability model for predicting radiation-induced liver disease in primary liver cancer. JOURNAL OF RADIATION RESEARCH 2021; 62:483-493. [PMID: 33899102 PMCID: PMC8127660 DOI: 10.1093/jrr/rrab011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 01/04/2021] [Accepted: 01/26/2021] [Indexed: 06/12/2023]
Abstract
We developed a confidence interval-(CI) assessing model in multivariable normal tissue complication probability (NTCP) modeling for predicting radiation-induced liver disease (RILD) in primary liver cancer patients using clinical and dosimetric data. Both the mean NTCP and difference in the mean NTCP (ΔNTCP) between two treatment plans of different radiotherapy modalities were further evaluated and their CIs were assessed. Clinical data were retrospectively reviewed in 322 patients with hepatocellular carcinoma (n = 215) and intrahepatic cholangiocarcinoma (n = 107) treated with photon therapy. Dose-volume histograms of normal liver were reduced to mean liver dose (MLD) based on the fraction size-adjusted equivalent uniform dose. The most predictive variables were used to build the model based on multivariable logistic regression analysis with bootstrapping. Internal validation was performed using the cross-validation leave-one-out method. Both the mean NTCP and the mean ΔNTCP with 95% CIs were calculated from computationally generated multivariate random sets of NTCP model parameters using variance-covariance matrix information. RILD occurred in 108/322 patients (33.5%). The NTCP model with three clinical and one dosimetric parameter (tumor type, Child-Pugh class, hepatitis infection status and MLD) was most predictive, with an area under the receiver operative characteristics curve (AUC) of 0.79 (95% CI 0.74-0.84). In eight clinical subgroups based on the three clinical parameters, both the mean NTCP and the mean ΔNTCP with 95% CIs were able to be estimated computationally. The multivariable NTCP model with the assessment of 95% CIs has potential to improve the reliability of the NTCP model-based approach to select the appropriate radiotherapy modality for each patient.
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Affiliation(s)
- Anussara Prayongrat
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | | | - Sira Sriswasdi
- Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Computational Molecular Biology Group, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Yoichi M Ito
- Biostatistics Division, Clinical Research and Medical Innovation Center, Hokkaido University Hospital, Sapporo, Japan
| | - Norio Katoh
- Department of Radiation Oncology, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Masaya Tamura
- Department of Medical Physics, Hokkaido University Hospital, Sapporo, Japan
| | - Yasuhiro Dekura
- Department of Radiation Oncology, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Chie Toramatsu
- Department of Radiation Oncology, Tokyo Women’s Medical University, Tokyo, Japan
| | - Chonlakiet Khorprasert
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Napapat Amornwichet
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Petch Alisanant
- Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Yuichi Hirata
- Central Institute of Isotope Science, Hokkaido University, Sapporo, Japan
| | - Anthony Hayter
- Department of Business Information and Analytics, University of Denver, CO, USA
| | - Hiroki Shirato
- Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
- Department of Proton Beam Therapy, Faculty of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Shinichi Shimizu
- Department of Medical Physics, Hokkaido University Hospital, Sapporo, Japan
- Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
- Department of Radiation Medical Science and Engineering, Faculty of Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Keiji Kobashi
- Department of Medical Physics, Hokkaido University Hospital, Sapporo, Japan
- Department of Radiation Medical Science and Engineering, Faculty of Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan
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Eriguchi T, Tsukamoto N, Kuroiwa N, Nemoto T, Ogata T, Okubo Y, Nakano S, Sugawara A. Repeated Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma. Pract Radiat Oncol 2020; 11:44-52. [PMID: 32791232 DOI: 10.1016/j.prro.2020.08.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 07/30/2020] [Accepted: 08/04/2020] [Indexed: 12/12/2022]
Abstract
PURPOSE In clinical practice, whether cirrhotic livers in patients with hepatocellular carcinoma (HCC) can withstand repeated stereotactic body radiation therapy (SBRT) remains unclear. This study aimed to evaluate the outcomes and toxicities in these patients. METHODS AND MATERIALS This retrospective study included patients with HCC who were treated with SBRT at least twice between January 2012 and June 2019. Local control and overall survival rates were calculated. Liver function before and after irradiation was evaluated using the Child-Pugh score and modified albumin-bilirubin grade. All toxicities were assessed using the Common Terminology Criteria for Adverse Events (version 4.0). RESULTS Fifty-two patients underwent 136 courses (148 lesions) of SBRT, which was mostly performed for out-of-field tumors but 3 in-field recurrences. The median follow-up duration from the first SBRT was 52.6 months (range, 15.7-89.3 months). The median gross tumor volume was 4.6 cm3 (range, 0.8-55.2 cm3) at the second SBRT. The 3-year local control rate was 94.5% (95% confidence interval, 88.0%-97.5%). The 3-year overall survival rate after the second course was 62.8% (95% confidence interval, 45.1%-76.2%). Although the Child-Pugh score did not deteriorate after the second course, deterioration of the modified albumin-bilirubin grade at 6, 12, and 24 months was statistically significant compared with that before the second course. One patient (1.9%) experienced grade 3 hypoalbuminemia and 2 patients (3.8%) had grade 3 thrombocytopenia 6 months after the second course. Mild fatigue and nausea were reported in 9 (17.3%) and 6 (11.5%) patients, respectively. One instance of grade 5 toxicity was observed. Two patients (1.5%) had grade 2 gastric ulcers. No other grade ≥3 gastrointestinal toxicities occurred. CONCLUSIONS Repeated SBRT is feasible and produces minimal toxicity in patients with HCC and Child-Pugh scores of ≤7 and a low normal liver dose.
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Affiliation(s)
- Takahisa Eriguchi
- Department of Radiation Oncology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Kanagawa, Japan; Radiation Oncology Center, Ofuna Chuo Hospital, Kamakura, Kanagawa, Japan.
| | - Nobuhiro Tsukamoto
- Department of Radiation Oncology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Kanagawa, Japan
| | - Nobuko Kuroiwa
- Department of Radiation Oncology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Kanagawa, Japan
| | - Takafumi Nemoto
- Department of Radiation Oncology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Kanagawa, Japan
| | - Takeru Ogata
- Department of Radiation Oncology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Kanagawa, Japan
| | - Yusuke Okubo
- Department of Gastroenterology and Hepatology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Kanagawa, Japan
| | - Shigeru Nakano
- Department of Gastroenterology and Hepatology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Kanagawa, Japan
| | - Akitomo Sugawara
- Department of Radiation Oncology, Tokai University School of Medicine, Isehara, Kanagawa, Japan
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Kaido R, Takemura A, Osawa T, Noto K, Kojima H, Isomura N, Ueda S. [Improvement Prediction on Contour Deformation Accuracy Using Deformable Image Registration Results Compared to Rigid Image Registration Results]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2020; 76:665-673. [PMID: 32684559 DOI: 10.6009/jjrt.2020_jsrt_76.7.665] [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] [Indexed: 06/11/2023]
Abstract
PURPOSE The aim of this study was to analyze improvement prediction on contour deformation accuracy using deformable image registration (DIR) results compared to rigid image registration (RIR) results. METHOD Radiotherapy plans for 31 cases (seven head and neck cases, 10 chest cases, six abdomen cases and eight female pelvis cases) from the privately open database for DIR were used. These cases used at least two radiotherapy plans, and registration was performed using two plans, not only for one case but also for different cases. The DIR and RIR were performed using the DIR software MIM Maestro (MIM software Inc., Cleveland, USA). The registration results for the following organs were analyzed: eye balls, optic nerves, brain stem, spinal cord and right and left parotid glands for head and neck; right and left lungs for chest; liver and right and left kidneys for abdomen; and rectum and bladder for pelvis. Dice similarity coefficient (DSC) for the organs was calculated from the results of RIR and DIR. The improvement in the DSC was observed. RESULTS AND DISCUSSION DIR improved the DSC values by more than 0.2 for simple shapes, well-defined boundaries and large volumes such as eye balls, brain stem, lungs and liver. The minimum DSC for these organs was approximately 0.7. The improvement in DSC for the organs eye balls, brain stem, lungs and liver had ceiling values 0.95, 0.90, 1.0 and 1.0, respectively. DSC for the spinal cord, parotid gland, bladder and kidney also improved by DIR compared to RIR; however, DIR could not improve the DSC value for rectum compared to RIR because of a large difference in the position, shape and size due to stool and gas.
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Affiliation(s)
- Ryoto Kaido
- Department of Radiology, University of Fukui Hospital
| | | | | | - Kimiya Noto
- Department of Radiology, Kanazawa University Hospital
| | | | - Naoki Isomura
- Department of Radiology, Kanazawa University Hospital
| | - Shinichi Ueda
- Department of Radiology, Kanazawa University Hospital
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11
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Park J, Park JW, Kang MK. Current status of stereotactic body radiotherapy for the treatment of hepatocellular carcinoma. Yeungnam Univ J Med 2019; 36:192-200. [PMID: 31620633 PMCID: PMC6784649 DOI: 10.12701/yujm.2019.00269] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 07/22/2019] [Accepted: 07/30/2019] [Indexed: 12/19/2022] Open
Abstract
Stereotactic body radiotherapy (SBRT) is an advanced form of radiotherapy (RT) with a growing interest on its application in the treatment of hepatocellular carcinoma (HCC). It can deliver ablative radiation doses to tumors in a few fractions without excessive doses to normal tissues, with the help of advanced modern RT and imaging technologies. Currently, SBRT is recommended as an alternative to curative treatments, such as surgery and radiofrequency ablation. This review discusses the current status of SBRT to aid in the decision making on how it is incorporated into the HCC management.
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Affiliation(s)
- Jongmoo Park
- Department of Radiation Oncology, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Jae Won Park
- Department of Radiation Oncology, Yeungnam University College of Medicine, Daegu, Korea
| | - Min Kyu Kang
- Department of Radiation Oncology, School of Medicine, Kyungpook National University, Daegu, Korea
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12
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Stereotactic Body Radiotherapy as a Salvage Therapy after Incomplete Radiofrequency Ablation for Hepatocellular Carcinoma: A Retrospective Propensity Score Matching Study. Cancers (Basel) 2019; 11:cancers11081116. [PMID: 31387248 PMCID: PMC6721575 DOI: 10.3390/cancers11081116] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 07/19/2019] [Accepted: 07/23/2019] [Indexed: 12/12/2022] Open
Abstract
(1) Background: To investigate the clinical outcomes between radiofrequency ablation (RFA) and stereotactic body radiotherapy (SBRT) for residual hepatocellular carcinoma (RHCC). (2) Methods: 139 patients were diagnosed with the RHCC after post-operative checkup, among whom 39 and 33 patients underwent RFA or SBRT as salvage treatments, respectively. We applied the propensity score matching (PSM) to adjust for imbalances in treatment assignment. Local disease progression, progression-free survival (PFS), overall survival (OS), and treatment-related side effects were the study endpoints. (3) Results: Before PSM, the SBRT group demonstrated significantly lower local disease progression rate (6/33 vs. 23/39; p = 0.002), better PFS (the 1- and 3-year PFS were 63.3% and 49.3% vs. 41.5% and 22.3%, respectively, p = 0.036), and comparable OS (the 1- and 3-year OS were 85.4% and 71.1% vs. 97.3% and 57.6%, respectively, p = 0.680). After PSM of 23 matched cases, the SBRT group demonstrated significantly lower local disease progression rate, better PFS and comparable OS. Centrally located tumor predicted the worse OS. No acute grade 3+ toxicity was observed in both groups. (4) Conclusion: SBRT might be the preferred treatment for RHCC, especially for patients with larger tumors or tumors abutting major vessels, rather than repeated RFA.
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