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Derbel H, Galletto Pregliasco A, Mulé S, Calderaro J, Zaarour Y, Saccenti L, Ghosn M, Reizine E, Blain M, Laurent A, Brustia R, Leroy V, Amaddeo G, Luciani A, Tacher V, Kobeiter H. Should Hypervascular Incidentalomas Detected on Per-Interventional Cone Beam Computed Tomography during Intra-Arterial Therapies for Hepatocellular Carcinoma Impact the Treatment Plan in Patients Waiting for Liver Transplantation? Cancers (Basel) 2024; 16:2333. [PMID: 39001395 PMCID: PMC11240509 DOI: 10.3390/cancers16132333] [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: 04/28/2024] [Revised: 06/22/2024] [Accepted: 06/24/2024] [Indexed: 07/16/2024] Open
Abstract
BACKGROUND Current guidelines do not indicate any comprehensive management of hepatic hypervascular incidentalomas (HVIs) discovered in hepatocellular carcinoma (HCC) patients during intra-arterial therapies (IATs). This study aims to evaluate the prognostic value of HVIs detected on per-interventional cone beam computed tomography (CBCT) during IAT for HCC in patients waiting for liver transplantation (LT). MATERIAL AND METHODS In this retrospective single-institutional study, all liver-transplanted HCC patients between January 2014 and December 2018 who received transarterial chemoembolization (TACE) or radioembolization (TARE) before LT were included. The number of ≥10 mm HCCs diagnosed on contrast-enhanced pre-interventional imaging (PII) was compared with that detected on per-interventional CBCT with a nonparametric Wilcoxon test. The correlation between the presence of an HVI and histopathological criteria associated with poor prognosis (HPP) on liver explants was investigated using the chi-square test. Tumor recurrence (TR) and TR-related mortality were investigated using the chi-square test. Recurrence-free survival (RFS), TR-related survival (TRRS), and overall survival (OS) were assessed according to the presence of HVI using Kaplan-Meier analysis. RESULTS Among 63 included patients (average age: 59 ± 7 years, H/F = 50/13), 36 presented HVIs on per-interventional CBCT. The overall nodule detection rate of per-interventional CBCT was superior to that of PII (median at 3 [Q1:2, Q3:5] vs. 2 [Q1:1, Q3:3], respectively, p < 0.001). No significant correlation was shown between the presence of HVI and HPP (p = 0.34), TR (p = 0.095), and TR-related mortality (0.22). Kaplan-Meier analysis did not show a significant impact of the presence of HVI on RFS (p = 0.07), TRRS (0.48), or OS (p = 0.14). CONCLUSIONS These results may indicate that the treatment plan during IAT should not be impacted or modified in response to HVI detection.
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Affiliation(s)
- Haytham Derbel
- Medical Imaging Department, Henri Mondor University Hospital, 51 Avenue du Marechal de Lattre de Tassigny, 94010 Creteil, France (H.K.)
- Institut Mondor de Recherche Biomédicale, Inserm U955, Team n° 18, 94010 Creteil, France
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
| | - Athena Galletto Pregliasco
- Medical Imaging Department, Henri Mondor University Hospital, 51 Avenue du Marechal de Lattre de Tassigny, 94010 Creteil, France (H.K.)
| | - Sébastien Mulé
- Medical Imaging Department, Henri Mondor University Hospital, 51 Avenue du Marechal de Lattre de Tassigny, 94010 Creteil, France (H.K.)
- Institut Mondor de Recherche Biomédicale, Inserm U955, Team n° 18, 94010 Creteil, France
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
| | - Julien Calderaro
- Institut Mondor de Recherche Biomédicale, Inserm U955, Team n° 18, 94010 Creteil, France
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
- Laboratory of Pathology, Henri Mondor University Hospital, 94010 Creteil, France
| | - Youssef Zaarour
- Medical Imaging Department, Henri Mondor University Hospital, 51 Avenue du Marechal de Lattre de Tassigny, 94010 Creteil, France (H.K.)
| | - Laetitia Saccenti
- Medical Imaging Department, Henri Mondor University Hospital, 51 Avenue du Marechal de Lattre de Tassigny, 94010 Creteil, France (H.K.)
- Institut Mondor de Recherche Biomédicale, Inserm U955, Team n° 18, 94010 Creteil, France
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
| | - Mario Ghosn
- Medical Imaging Department, Henri Mondor University Hospital, 51 Avenue du Marechal de Lattre de Tassigny, 94010 Creteil, France (H.K.)
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
| | - Edouard Reizine
- Medical Imaging Department, Henri Mondor University Hospital, 51 Avenue du Marechal de Lattre de Tassigny, 94010 Creteil, France (H.K.)
- Institut Mondor de Recherche Biomédicale, Inserm U955, Team n° 18, 94010 Creteil, France
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
| | - Maxime Blain
- Medical Imaging Department, Henri Mondor University Hospital, 51 Avenue du Marechal de Lattre de Tassigny, 94010 Creteil, France (H.K.)
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
| | - Alexis Laurent
- Institut Mondor de Recherche Biomédicale, Inserm U955, Team n° 18, 94010 Creteil, France
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
- Department of Visceral Surgery, Henri Mondor University Hospital, 94010 Creteil, France
| | - Raffaele Brustia
- Institut Mondor de Recherche Biomédicale, Inserm U955, Team n° 18, 94010 Creteil, France
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
- Department of Visceral Surgery, Henri Mondor University Hospital, 94010 Creteil, France
| | - Vincent Leroy
- Institut Mondor de Recherche Biomédicale, Inserm U955, Team n° 18, 94010 Creteil, France
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
- Department of Hepatology, Henri Mondor University Hospital, 94010 Creteil, France
| | - Giuliana Amaddeo
- Institut Mondor de Recherche Biomédicale, Inserm U955, Team n° 18, 94010 Creteil, France
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
- Department of Hepatology, Henri Mondor University Hospital, 94010 Creteil, France
| | - Alain Luciani
- Medical Imaging Department, Henri Mondor University Hospital, 51 Avenue du Marechal de Lattre de Tassigny, 94010 Creteil, France (H.K.)
- Institut Mondor de Recherche Biomédicale, Inserm U955, Team n° 18, 94010 Creteil, France
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
| | - Vania Tacher
- Medical Imaging Department, Henri Mondor University Hospital, 51 Avenue du Marechal de Lattre de Tassigny, 94010 Creteil, France (H.K.)
- Institut Mondor de Recherche Biomédicale, Inserm U955, Team n° 18, 94010 Creteil, France
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
| | - Hicham Kobeiter
- Medical Imaging Department, Henri Mondor University Hospital, 51 Avenue du Marechal de Lattre de Tassigny, 94010 Creteil, France (H.K.)
- Faculty of Medicine, University of Paris Est Creteil, 94010 Creteil, France
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İnce O, Önder H, Gençtürk M, Cebeci H, Golzarian J, Young S. Machine Learning Models in Prediction of Treatment Response After Chemoembolization with MRI Clinicoradiomics Features. Cardiovasc Intervent Radiol 2023; 46:1732-1742. [PMID: 37884802 DOI: 10.1007/s00270-023-03574-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 09/25/2023] [Indexed: 10/28/2023]
Abstract
PURPOSE To evaluate machine learning models, created with radiomics and clinicoradiomics features, ability to predict local response after TACE. MATERIALS AND METHODS 188 treatment-naïve patients (150 responders, 38 non-responders) with HCC who underwent TACE were included in this retrospective study. Laboratory, clinical and procedural information were recorded. Local response was evaluated by European Association for the Study of the Liver criteria at 3-months. Radiomics features were extracted from pretreatment pre-contrast enhanced T1 (T1WI) and late arterial-phase contrast-enhanced T1 (CE-T1) MRI images. After data augmentation, data were split into training and test sets (70/30). Intra-class correlations, Pearson's correlation coefficients were analyzed and followed by a sequential-feature-selection (SFS) algorithm for feature selection. Support-vector-machine (SVM) models were trained with radiomics and clinicoradiomics features of T1WI, CE-T1 and the combination of both datasets, respectively. Performance metrics were calculated with the test sets. Models' performances were compared with Delong's test. RESULTS 1128 features were extracted. In feature selection, SFS algorithm selected 18, 12, 24 and 8 features in T1WI, CE-T1, combined datasets and clinical features, respectively. The SVM models area-under-curve was 0.86 and 0.88 in T1WI; 0.76, 0.71 in CE-T1 and 0.82, 0.91 in the combined dataset, with and without clinical features, respectively. The only significant change was observed after inclusion of clinical features in the combined dataset (p = 0.001). Higher WBC and neutrophil levels were significantly associated with lower treatment response in univariant analysis (p = 0.02, for both). CONCLUSION Machine learning models created with clinical and MRI radiomics features, may have promise in predicting local response after TACE. LEVEL OF EVIDENCE Level 4, Case-control study.
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Affiliation(s)
- Okan İnce
- Department of Radiology, Medical School, University of Minnesota, 420 Delaware Street S.E, Minneapolis, MN, 55455, USA.
| | - Hakan Önder
- Department of Radiology, Health Sciences University, Prof. Dr. Cemil TASCIOGLU City Hospital, Istanbul, Turkey
| | - Mehmet Gençtürk
- Department of Radiology, Medical School, University of Minnesota, 420 Delaware Street S.E, Minneapolis, MN, 55455, USA
| | - Hakan Cebeci
- Department of Radiology, Medical School, University of Minnesota, 420 Delaware Street S.E, Minneapolis, MN, 55455, USA
| | - Jafar Golzarian
- Department of Radiology, Medical School, University of Minnesota, 420 Delaware Street S.E, Minneapolis, MN, 55455, USA
| | - Shamar Young
- Department of Radiology, College of Medicine, University of Arizona, 1501 N. Campbell Avenue, Tucson, AZ, 85724, USA
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Luo N, Li H, Luo Y, Hu P, Liang L, Zhang R, Zhang D, Cai D, Kang J. Prognostic significance of psoas muscle index in male hepatocellular carcinoma patients treated with immune checkpoint inhibitors and tyrosine kinase inhibitors. Hum Vaccin Immunother 2023; 19:2258567. [PMID: 37728115 PMCID: PMC10512869 DOI: 10.1080/21645515.2023.2258567] [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: 04/13/2023] [Accepted: 09/10/2023] [Indexed: 09/21/2023] Open
Abstract
Currently, the relationship between nutritional indices and the prognosis of hepatocellular carcinoma (HCC) patients treated with immune checkpoint inhibitors (ICIs) and tyrosine kinase inhibitors (TKIs) remains unclear. This study aims to investigate the prognostic value of psoas muscle index (PMI), prognostic nutritional index (PNI), body mass index (BMI), and geriatric nutritional risk index (GNRI) in HCC patients treated with ICIs combined with TKIs. A total of 124 male patients with HCC were included in this study. PNI, PMI, BMI, and GNRI were calculated at the beginning of treatment. The Cox proportional hazards model was used to analyze the effect of various variables. In the univariate analysis, PMI, PNI, GNRI, and ALB were found to impact the outcomes of the patients at different follow-up times. However, the predictive value of these nutritional indices was eliminated when established risk factors were considered. In the multivariate analysis that only included nutrition-related indicators, PMI emerged as an independent prognostic factor for 1-year treatment outcomes. The group with low PMI (≤5.5409 cm2/m2) was found to have a higher risk of death at one year and at the end of the follow-up period.
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Affiliation(s)
- Ning Luo
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Hu Li
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yindeng Luo
- Department of Radiology of the Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Peng Hu
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Luwen Liang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Rong Zhang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Dazhi Zhang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Dachuan Cai
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Juan Kang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
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Falette Puisieux M, Pellat A, Assaf A, Ginestet C, Brezault C, Dhooge M, Soyer P, Coriat R. Therapeutic Management of Advanced Hepatocellular Carcinoma: An Updated Review. Cancers (Basel) 2022; 14:cancers14102357. [PMID: 35625962 PMCID: PMC9139863 DOI: 10.3390/cancers14102357] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/06/2022] [Accepted: 05/08/2022] [Indexed: 02/07/2023] Open
Abstract
Hepatocellular carcinoma (HCC) usually occurs in the setting of liver cirrhosis and more rarely in a healthy liver. Its incidence has increased in the past years, especially in western countries with the rising prevalence of non-alcoholic fatty liver disease. The prognosis of advanced HCC is low. In the first-line setting of advanced HCC, sorafenib, a tyrosine kinase inhibitor, was the only validated treatment for many years. In 2020, the combination of atezolizumab, an immune checkpoint inhibitor, and bevacizumab showed superiority to sorafenib alone in survival, making it the first-line recommended treatment. Regorafenib and lenvatinib, other multikinase inhibitors, were also validated in the second and first-line settings, respectively. Transarterial chemoembolization can be an alternative treatment for patients with intermediate-stage HCC and preserved liver function, including unresectable multinodular HCC without extrahepatic spread. The current challenge in advanced HCC lies in the selection of a patient for the optimal treatment, taking into account the underlying liver disease and liver function. Indeed, all trial patients present with a Child-Pugh score of A, and the optimal approach for other patients is still unclear. Furthermore, the combination of atezolizumab and bevacizumab should be considered in the absence of medical contraindication. Many trials testing immune checkpoint inhibitors in association with anti-angiogenic agents are ongoing, and primary results are promising. The landscape in advanced HCC management is undergoing profound change, and many challenges remain for optimal patient management in the years to come. This review aimed to provide an overview of current systemic treatment options for patients with advanced unresectable HCC who are not candidates for liver-directed therapy.
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Affiliation(s)
- Manon Falette Puisieux
- Gastroenterology and Digestive Oncology Unit, Cochin Hospital, AP-HP Centre, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; (A.P.); (A.A.); (C.G.); (C.B.); (M.D.); (R.C.)
- Faculté de Médecine, Université Paris Cité, 75006 Paris, France;
- Correspondence: ; Tel.: +33-1-58-41-19-52
| | - Anna Pellat
- Gastroenterology and Digestive Oncology Unit, Cochin Hospital, AP-HP Centre, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; (A.P.); (A.A.); (C.G.); (C.B.); (M.D.); (R.C.)
- Faculté de Médecine, Université Paris Cité, 75006 Paris, France;
| | - Antoine Assaf
- Gastroenterology and Digestive Oncology Unit, Cochin Hospital, AP-HP Centre, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; (A.P.); (A.A.); (C.G.); (C.B.); (M.D.); (R.C.)
- Faculté de Médecine, Université Paris Cité, 75006 Paris, France;
| | - Claire Ginestet
- Gastroenterology and Digestive Oncology Unit, Cochin Hospital, AP-HP Centre, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; (A.P.); (A.A.); (C.G.); (C.B.); (M.D.); (R.C.)
- Faculté de Médecine, Université Paris Cité, 75006 Paris, France;
| | - Catherine Brezault
- Gastroenterology and Digestive Oncology Unit, Cochin Hospital, AP-HP Centre, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; (A.P.); (A.A.); (C.G.); (C.B.); (M.D.); (R.C.)
- Faculté de Médecine, Université Paris Cité, 75006 Paris, France;
| | - Marion Dhooge
- Gastroenterology and Digestive Oncology Unit, Cochin Hospital, AP-HP Centre, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; (A.P.); (A.A.); (C.G.); (C.B.); (M.D.); (R.C.)
- Faculté de Médecine, Université Paris Cité, 75006 Paris, France;
| | - Philippe Soyer
- Faculté de Médecine, Université Paris Cité, 75006 Paris, France;
- Radiology Department, Cochin Hospital, AP-HP Centre, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France
| | - Romain Coriat
- Gastroenterology and Digestive Oncology Unit, Cochin Hospital, AP-HP Centre, 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France; (A.P.); (A.A.); (C.G.); (C.B.); (M.D.); (R.C.)
- Faculté de Médecine, Université Paris Cité, 75006 Paris, France;
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Dohan A, Barat M, Coriat R, Soyer P. A step toward a better understanding of hepatocellular progression after transarterial embolization. Diagn Interv Imaging 2022; 103:125-126. [DOI: 10.1016/j.diii.2022.01.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 01/27/2022] [Indexed: 01/01/2023]
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Local recurrence following complete radiologic response in patients treated with transarterial chemoembolization for hepatocellular carcinoma. Diagn Interv Imaging 2022; 103:143-149. [PMID: 35115276 DOI: 10.1016/j.diii.2022.01.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/16/2021] [Accepted: 01/17/2022] [Indexed: 12/11/2022]
Abstract
PURPOSE The purpose of this study was to determine the local progression rate and identify factors that may predict local progression, in patients who achieve a complete response (CR) radiologically after undergoing transarterial chemoembolization (TACE) for hepatocellular carcinoma (HCC). MATERIALS AND METHODS One-hundred-forty-seven patients, who achieved CR of 224 HCCs after TACE, were retrospectively reviewed. There were 109 men and 38 women with a mean age of 61.6 ± 6.8 (SD) years (range: 45.4-86.9 years). Logistic mixed-effects and Cox regression models were used to evaluate associations between clinical factors and local progression. RESULTS A total of 75 patients (75/147; 51%) and 99 (99/224,44.2%) lesions showed local progression at a median of 289.5 days (Q1: 125, Q3: 452; range: 51-2245 days). Pre-treatment, international normalization ratio (INR) (1.17 ± 0.15 [SD] vs. 1.25 ± 0.16 [SD]; P <0.001), model for end-stage liver disease (9.4 ± 2.6 [SD] vs. 10.6 ± 3.2 [SD]; P = 0.010) and Child-Pugh score (6 ± 1 [SD] vs. 6.4 ± 1.3 [SD]; P = 0.012) were significantly lower while albumin serum level (3.4 ± 0.62 [SD] vs. 3.22 ± 0.52 [SD]; P = 0.033) was significantly greater in those who showed local progression as compared to those who did not. In terms of local-recurrence free survival, the number of TACE treatments (hazard ratio [HR]: 2.05 [95% CI: 1.57-2.67]; P<0.001), INR (HR: 0.13 [95% CI: 0.03-0.61]; P = 0.010) and type of TACE (P = 0.003) were significant. Patients with local progression on any tumor did not differ from those who did in terms of overall survival (P = 0.072), however, were less likely to be transplanted (20/75, 26.7%) than those who did not (33/72; 36.1%) (P = 0.016). CONCLUSION A significant number of patients who achieve CR of HCC after TACE have local progression. This emphasizes the importance of long-term follow up.
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