Quantitative imaging to evaluate malignant potential of IPMNs

作者：Alexander Nicola Hanania, Leonidas E. Bantis, Ziding Feng, Huamin Wang, Eric Peter Tamm, Matthew H. G. Katz, Anirban Maitra, Eugene Jon Koay · 发表于：Oncotarget · 年份：2016 · DOI：10.18632/oncotarget.11769 · 被引用次数：146 · 研究领域：Pancreatic and Hepatic Oncology Research、MRI in cancer diagnosis、Radiomics and Machine Learning in Medical Imaging

// Alexander N. Hanania 1,2 , Leonidas E. Bantis 3 , Ziding Feng 3 , Huamin Wang 4 , Eric P. Tamm 5 , Matthew H. Katz 6 , Anirban Maitra 4 and Eugene J. Koay 2 1 University of Texas Medical School, Houston, TX, USA 2 Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA 3 Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA 4 Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA 5 Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA 6 Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA Correspondence to: Eugene J. Koay, email: // Keywords : IPMN, quantitative imaging, radiomics, fukuoka, pancreatic cyst Received : July 06, 2016 Accepted : August 18, 2016 Published :August 31, 2016 Abstract Objective: To investigate using quantitative imaging to assess the malignant potential of intraductal papillary mucinous neoplasms (IPMNs) in the pancreas. Background: Pancreatic cysts are identified in over 2% of the population and a subset of these, including intraductal papillary mucinous neoplasms (IPMNs), represent pre-malignant lesions. Unfortunately, clinicians cannot accurately predict which of these lesions are likely to progress to pancreatic ductal adenocarcinoma (PDAC). Methods: We investigated 360 imaging features within the domains of intensity, texture and shape using ...