Sébastien Mulé1,2, Ali Serhal3, Athena Galletto Pregliasco4, Jessica Nguyen5, Camila Lopes Vendrami6, Edouard Reizine4, Guang-Yu Yang5, Julien Calderaro7,8, Giuliana Amaddeo7,9, Alain Luciani4,7, Frank H Miller6. 1. Medical Imaging Department, AP-HP, Henri Mondor University Hospital, 51 Avenue du Maréchal de Lattre de Tassigny, 94010, Créteil, France. sebastien.mule@aphp.fr. 2. Faculté de Médecine, Université Paris Est Créteil, Créteil, France. sebastien.mule@aphp.fr. 3. Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA. ali.serhal@northwestern.edu. 4. Medical Imaging Department, AP-HP, Henri Mondor University Hospital, 51 Avenue du Maréchal de Lattre de Tassigny, 94010, Créteil, France. 5. Department of Pathology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA. 6. Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA. 7. Faculté de Médecine, Université Paris Est Créteil, Créteil, France. 8. Pathology Department, AP-HP, Henri Mondor University Hospital, Créteil, France. 9. Hepatology Department, AP-HP, Henri Mondor University Hospital, Créteil, France.
Abstract
OBJECTIVES: To evaluate if preoperative MRI can predict the most frequent HCC subtypes in North American and European patients treated with surgical resection. METHODS: A total of 119 HCCs in 97 patients were included in the North American group and 191 HCCs in 176 patients were included in the European group. Lesion subtyping was based on morphologic features and immuno-histopathological analysis. Two radiologists reviewed preoperative MRI and evaluated the presence of imaging features including LI-RADS major and ancillary features to identify clinical, biologic, and imaging features associated with the main HCC subtypes. RESULTS: Sixty-four percent of HCCs were conventional. The most frequent subtypes were macrotrabecular-massive (MTM-15%) and steatohepatitic (13%). Necrosis (OR = 3.32; 95% CI: 1.39, 7.89; p = .0064) and observation size (OR = 1.011; 95% CI: 1.0022, 1.019; p = .014) were independent predictors of MTM-HCC. Fat in mass (OR = 15.07; 95% CI: 6.57, 34.57; p < .0001), tumor size (OR = 0.97; 95% CI: 0.96, 0.99; p = .0037), and absence of chronic HCV infection (OR = 0.24; 95% CI: 0.084, 0.67; p = .0068) were independent predictors of steatohepatitic HCC. Independent predictors of conventional HCCs were viral C hepatitis (OR = 3.20; 95% CI: 1.62, 6.34; p = .0008), absence of fat (OR = 0.25; 95% CI: 0.12, 0.52; p = .0002), absence of tumor in vein (OR = 0.34; 95% CI: 0.13, 0.84; p = .020), and higher tumor-to-liver ADC ratio (OR = 1.96; 95% CI: 1.14, 3.35; p = .014) CONCLUSION: MRI is useful in predicting the most frequent HCC subtypes even in cohorts with different distributions of liver disease etiologies and tumor subtypes which might have future treatment and management implications. KEY POINTS: • Representation of both liver disease etiologies and HCC subtypes differed between the North American and European cohorts of patients. • Retrospective two-center study showed that liver MRI is useful in predicting the most frequent HCC subtypes.
OBJECTIVES: To evaluate if preoperative MRI can predict the most frequent HCC subtypes in North American and European patients treated with surgical resection. METHODS: A total of 119 HCCs in 97 patients were included in the North American group and 191 HCCs in 176 patients were included in the European group. Lesion subtyping was based on morphologic features and immuno-histopathological analysis. Two radiologists reviewed preoperative MRI and evaluated the presence of imaging features including LI-RADS major and ancillary features to identify clinical, biologic, and imaging features associated with the main HCC subtypes. RESULTS: Sixty-four percent of HCCs were conventional. The most frequent subtypes were macrotrabecular-massive (MTM-15%) and steatohepatitic (13%). Necrosis (OR = 3.32; 95% CI: 1.39, 7.89; p = .0064) and observation size (OR = 1.011; 95% CI: 1.0022, 1.019; p = .014) were independent predictors of MTM-HCC. Fat in mass (OR = 15.07; 95% CI: 6.57, 34.57; p < .0001), tumor size (OR = 0.97; 95% CI: 0.96, 0.99; p = .0037), and absence of chronic HCV infection (OR = 0.24; 95% CI: 0.084, 0.67; p = .0068) were independent predictors of steatohepatitic HCC. Independent predictors of conventional HCCs were viral C hepatitis (OR = 3.20; 95% CI: 1.62, 6.34; p = .0008), absence of fat (OR = 0.25; 95% CI: 0.12, 0.52; p = .0002), absence of tumor in vein (OR = 0.34; 95% CI: 0.13, 0.84; p = .020), and higher tumor-to-liver ADC ratio (OR = 1.96; 95% CI: 1.14, 3.35; p = .014) CONCLUSION: MRI is useful in predicting the most frequent HCC subtypes even in cohorts with different distributions of liver disease etiologies and tumor subtypes which might have future treatment and management implications. KEY POINTS: • Representation of both liver disease etiologies and HCC subtypes differed between the North American and European cohorts of patients. • Retrospective two-center study showed that liver MRI is useful in predicting the most frequent HCC subtypes.
Authors: Derek Y Chiang; Augusto Villanueva; Yujin Hoshida; Judit Peix; Philippa Newell; Beatriz Minguez; Amanda C LeBlanc; Diana J Donovan; Swan N Thung; Manel Solé; Victoria Tovar; Clara Alsinet; Alex H Ramos; Jordi Barretina; Sasan Roayaie; Myron Schwartz; Samuel Waxman; Jordi Bruix; Vincenzo Mazzaferro; Azra H Ligon; Vesna Najfeld; Scott L Friedman; William R Sellers; Matthew Meyerson; Josep M Llovet Journal: Cancer Res Date: 2008-08-15 Impact factor: 12.701
Authors: Maria Reig; Alejandro Forner; Jordi Rimola; Joana Ferrer-Fàbrega; Marta Burrel; Ángeles Garcia-Criado; Robin K Kelley; Peter R Galle; Vincenzo Mazzaferro; Riad Salem; Bruno Sangro; Amit G Singal; Arndt Vogel; Josep Fuster; Carmen Ayuso; Jordi Bruix Journal: J Hepatol Date: 2021-11-19 Impact factor: 30.083
Authors: Jessica L Petrick; Andrea A Florio; Ariana Znaor; David Ruggieri; Mathieu Laversanne; Christian S Alvarez; Jacques Ferlay; Patricia C Valery; Freddie Bray; Katherine A McGlynn Journal: Int J Cancer Date: 2019-11-05 Impact factor: 7.316
Authors: Yujin Hoshida; Sebastian M B Nijman; Masahiro Kobayashi; Jennifer A Chan; Jean-Philippe Brunet; Derek Y Chiang; Augusto Villanueva; Philippa Newell; Kenji Ikeda; Masaji Hashimoto; Goro Watanabe; Stacey Gabriel; Scott L Friedman; Hiromitsu Kumada; Josep M Llovet; Todd R Golub Journal: Cancer Res Date: 2009-09-01 Impact factor: 12.701