Emily A Aherne1, Linda M Pak2, Debra A Goldman3, Mithat Gonen3, William R Jarnagin2, Amber L Simpson2, Richard K Do4. 1. Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, C-891, New York, NY, 10065, USA. 2. Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA. 3. Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA. 4. Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, C-891, New York, NY, 10065, USA. dok@mskcc.org.
Abstract
PURPOSE: On computed tomography (CT), intrahepatic cholangiocarcinomas (ICC) are a visibly heterogeneous group of tumors. The purpose of this study was to investigate the associations between CT imaging phenotypes, patient survival, and known genetic markers. METHODS: A retrospective study was performed with 66 patients with surgically resected ICC. Pre-surgical CT images of ICC were assessed by radiologists blinded to tumor genetics and patient clinical data. Associations between qualitative imaging features and overall survival (OS) and disease-free survival (DFS) were performed with Cox proportional hazards regression and visualized with Kaplan-Meier plots. Associations between radiographic features and genetic pathways (IDH1, Chromatin and RAS-MAPK) were assessed with Fisher's Exact test and the Wilcoxon Rank sum test where appropriate and corrected for multiple comparisons within each pathway using the False Discovery Rate correction. RESULTS: Three imaging features were significantly associated with a higher risk of death: necrosis (hazard ratio (HR) 2.95 95% CI 1.44-6.04, p = 0.029), satellite nodules (HR 3.29, 95% CI:1.35-8.02, p = 0.029), and vascular encasement (HR 2.63, 95% CI 1.28-5.41, p = 0.029). Additionally, with each increase in axial size, the risk of death increased (HR 1.14, 95% CI 1.03-1.26, p = 0.029). Similar to findings for OS, satellite nodules (HR 3.81, 95% CI 1.88-7.71, p = 0.002) and vascular encasement (HR 2.25, 95% CI 1.24-4.06, p = 0.019) were associated with increased risk of recurrence/death. No significant associations were found between radiographic features and genes in the IDH1, Chromatin or RAS-MAPK pathways (p = 0.63-84). CONCLUSION: This preliminary analysis of resected ICC suggests associations between CT imaging features and OS and DFS. No association was identified between imaging features and currently known genetic pathways.
PURPOSE: On computed tomography (CT), intrahepatic cholangiocarcinomas (ICC) are a visibly heterogeneous group of tumors. The purpose of this study was to investigate the associations between CT imaging phenotypes, patient survival, and known genetic markers. METHODS: A retrospective study was performed with 66 patients with surgically resected ICC. Pre-surgical CT images of ICC were assessed by radiologists blinded to tumor genetics and patient clinical data. Associations between qualitative imaging features and overall survival (OS) and disease-free survival (DFS) were performed with Cox proportional hazards regression and visualized with Kaplan-Meier plots. Associations between radiographic features and genetic pathways (IDH1, Chromatin and RAS-MAPK) were assessed with Fisher's Exact test and the Wilcoxon Rank sum test where appropriate and corrected for multiple comparisons within each pathway using the False Discovery Rate correction. RESULTS: Three imaging features were significantly associated with a higher risk of death: necrosis (hazard ratio (HR) 2.95 95% CI 1.44-6.04, p = 0.029), satellite nodules (HR 3.29, 95% CI:1.35-8.02, p = 0.029), and vascular encasement (HR 2.63, 95% CI 1.28-5.41, p = 0.029). Additionally, with each increase in axial size, the risk of death increased (HR 1.14, 95% CI 1.03-1.26, p = 0.029). Similar to findings for OS, satellite nodules (HR 3.81, 95% CI 1.88-7.71, p = 0.002) and vascular encasement (HR 2.25, 95% CI 1.24-4.06, p = 0.019) were associated with increased risk of recurrence/death. No significant associations were found between radiographic features and genes in the IDH1, Chromatin or RAS-MAPK pathways (p = 0.63-84). CONCLUSION: This preliminary analysis of resected ICC suggests associations between CT imaging features and OS and DFS. No association was identified between imaging features and currently known genetic pathways.
Authors: Akshay D Baheti; Sree Harsha Tirumani; Atul B Shinagare; Michael H Rosenthal; Jason L Hornick; Nikhil H Ramaiya; Brian M Wolpin Journal: Abdom Imaging Date: 2014-12
Authors: Daniela Sia; Yujin Hoshida; Augusto Villanueva; Sasan Roayaie; Joana Ferrer; Barbara Tabak; Judit Peix; Manel Sole; Victoria Tovar; Clara Alsinet; Helena Cornella; Brandy Klotzle; Jian-Bing Fan; Christian Cotsoglou; Swan N Thung; Josep Fuster; Samuel Waxman; Juan Carlos Garcia-Valdecasas; Jordi Bruix; Myron E Schwartz; Rameen Beroukhim; Vincenzo Mazzaferro; Josep M Llovet Journal: Gastroenterology Date: 2013-01-04 Impact factor: 22.682
Authors: Jongha Park; Myung-Hwan Kim; Kyu-Pyo Kim; Do Hyun Park; Sung-Hoon Moon; Tae Jun Song; Junbum Eum; Sang Soo Lee; Dong Wan Seo; Sung Koo Lee Journal: Gut Liver Date: 2009-12-31 Impact factor: 4.519
Authors: Maximilian Diehn; Christine Nardini; David S Wang; Susan McGovern; Mahesh Jayaraman; Yu Liang; Kenneth Aldape; Soonmee Cha; Michael D Kuo Journal: Proc Natl Acad Sci U S A Date: 2008-03-24 Impact factor: 11.205
Authors: Scott Robertson; Omar Hyder; Rebecca Dodson; Suresh K Nayar; Justin Poling; Katie Beierl; James R Eshleman; Ming-Tseh Lin; Timothy M Pawlik; Robert A Anders Journal: Hum Pathol Date: 2013-10-15 Impact factor: 3.466
Authors: Yuchen Jiao; Timothy M Pawlik; Robert A Anders; Florin M Selaru; Mirte M Streppel; Donald J Lucas; Noushin Niknafs; Violeta Beleva Guthrie; Anirban Maitra; Pedram Argani; G Johan A Offerhaus; Juan Carlos Roa; Lewis R Roberts; Gregory J Gores; Irinel Popescu; Sorin T Alexandrescu; Simona Dima; Matteo Fassan; Michele Simbolo; Andrea Mafficini; Paola Capelli; Rita T Lawlor; Andrea Ruzzenente; Alfredo Guglielmi; Giampaolo Tortora; Filippo de Braud; Aldo Scarpa; William Jarnagin; David Klimstra; Rachel Karchin; Victor E Velculescu; Ralph H Hruban; Bert Vogelstein; Kenneth W Kinzler; Nickolas Papadopoulos; Laura D Wood Journal: Nat Genet Date: 2013-11-03 Impact factor: 38.330
Authors: Pascal O Zinn; Bhanu Mahajan; Bhanu Majadan; Pratheesh Sathyan; Sanjay K Singh; Sadhan Majumder; Ferenc A Jolesz; Rivka R Colen Journal: PLoS One Date: 2011-10-05 Impact factor: 3.240
Authors: Joshua S Jolissaint; Tiegong Wang; Kevin C Soares; Joanne F Chou; Mithat Gönen; Linda M Pak; Thomas Boerner; Richard K G Do; Vinod P Balachandran; Michael I D'Angelica; Jeffrey A Drebin; T P Kingham; Alice C Wei; William R Jarnagin; Jayasree Chakraborty Journal: HPB (Oxford) Date: 2022-02-17 Impact factor: 3.842
Authors: Michael J King; Stefanie Hectors; Karen M Lee; Olamide Omidele; James S Babb; Myron Schwartz; Parissa Tabrizian; Bachir Taouli; Sara Lewis Journal: Cancer Imaging Date: 2020-07-03 Impact factor: 3.909