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©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jun 28, 2020; 26(24): 3458-3471
Published online Jun 28, 2020. doi: 10.3748/wjg.v26.i24.3458
Published online Jun 28, 2020. doi: 10.3748/wjg.v26.i24.3458
Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy
Stuart L Polk, University of South Florida College of Medicine, Tampa, FL 33612, United States
Jung W Choi, Melissa J McGettigan, Trevor Rose, Abraham Ahmed, Daniel Jeong, Department of Diagnostic and Interventional Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
Jongphil Kim, Yoganand Balagurunathan, Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
Kun Jiang, Department of Anatomic Pathology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
Jin Qi, Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
Paola T Farah, Department of Clinical Science, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
Alisha Rathi, Department of Radiology, University of Florida, Gainesville, FL 32610, United States
Jennifer B Permuth, Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States
Author contributions: Choi JW, Rose T, Ahmed A, McGettigan M, Balagurunathan Y, Qi J, Farah P, Rathi A and Permuth JB contributed to research design and manuscript editing; Rathi A and Jeong D evaluated radiological imaging; Polk SL and Jeong D wrote the paper; all authors contributed to the manuscript content and revisions prior to submission.
Supported by National Cancer Institute of the National Institutes of Health , No. R37CA229810 ; and Biostatistics Core Facility at the H. Lee Moffitt Cancer Center and Research Institute , an NCI designated Comprehensive Cancer Center, No. P30-CA076292 .
Institutional review board statement: The study was reviewed and approved by University of South Florida Institutional Review Board.
Informed consent statement: Based on the institutional review board approved protocol, patients were not required to give informed consent to this retrospective study because analysis used anonymized data obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Data sharing statement: No additional data are available.
STROBE statement: The authors have read the STROBE statement, and the manuscript was prepared and revised according to STROBE guidelines.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Daniel Jeong, MD, Associate Professor, Department of Diagnostic and Interventional Radiology, H. Lee Moffitt Cancer Center and Research Institute, 12902 USF Magnolia Dr., Tampa, FL 33612, United States. daniel.jeong@moffitt.org
Received: December 30, 2019
Peer-review started: January 8, 2020
First decision: February 28, 2020
Revised: May 9, 2020
Accepted: June 13, 2020
Article in press: June 13, 2020
Published online: June 28, 2020
Processing time: 171 Days and 21.2 Hours
Peer-review started: January 8, 2020
First decision: February 28, 2020
Revised: May 9, 2020
Accepted: June 13, 2020
Article in press: June 13, 2020
Published online: June 28, 2020
Processing time: 171 Days and 21.2 Hours
Core Tip
Core tip: When pancreatic intraductal papillary mucinous neoplasms (IPMNs) are detected on computed tomography (CT) imaging, it is difficult to definitively assess whether they possess benign or malignant pathology. Few studies have investigated the capabilities of CT radiomics in predicting malignant pathology in IPMNs. In this retrospective cohort study on preoperative multiphase post contrast CTs in IPMNs, a combined model using radiomics features and International Consensus Guidelines (ICG) had better diagnostic accuracy in predicting malignant pathology than a model using ICG alone.