CT Radiomic Nomogram Using Optimal Volume of Interest for Preoperatively Predicting Invasive Mucinous Adenocarcinomas in Patients with Incidental Pulmonary Nodules: A Multicenter, Large-Scale Study

CT Radiomic Nomogram Using Optimal Volume of Interest for Preoperatively Predicting Invasive Mucinous Adenocarcinomas in Patients with Incidental Pulmonary Nodules: A Multicenter, Large-Scale Study

Introduction This study evaluated the efficacy of radiomic analysis with optimal volumes of interest (VOIs) on computed tomography images to preoperatively differentiate invasive mucinous adenocarcinoma (IMA) from non-mucinous adenocarcinoma (non-IMA) in patients with incidental pulmonary nodules (I...

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Main Authors: Zhichao Zuo MS, Guochao Zhang MD, Jing Chen MD, Qi Xue MD, Shanyue Lin BS, Ying Zeng MS, Wu Ge MS, Wanyin Qi BS, Lu Yang PhD, Haibo Liu BS, Xiaohong Fan PhD, Shuangping Zhang MD
Format: Article
Language:English
Published: SAGE Publishing 2024-12-01
Series:Technology in Cancer Research & Treatment
Online Access:https://doi.org/10.1177/15330338241308307
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https://doi.org/10.1177/15330338241308307

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