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Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer

Journal of Clinical Oncology · 2016 · Vol. 34(18) · pp. 2157–2164

Yanqi Huang✉(Chinese Academy of Medical Sciences & Peking Union Medical College)Changhong Liang(Chinese Academy of Medical Sciences & Peking Union Medical College)Lan He(Chinese Academy of Medical Sciences & Peking Union Medical College)Jie Tian(Chinese Academy of Medical Sciences & Peking Union Medical College)Cuishan Liang(Chinese Academy of Medical Sciences & Peking Union Medical College)Xin Chen(Chinese Academy of Medical Sciences & Peking Union Medical College)Zelan Ma(Chinese Academy of Medical Sciences & Peking Union Medical College)Zaiyi Liu(Chinese Academy of Medical Sciences & Peking Union Medical College)

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Abstract

This study presents a radiomics nomogram that incorporates the radiomics signature, CT-reported LN status, and clinical risk factors, which can be conveniently used to facilitate the preoperative individualized prediction of LN metastasis in patients with CRC.

Radiomics and Machine Learning in Medical Imaging Colorectal Cancer Surgical Treatments Gastric Cancer Management and OutcomesNomogramMedicineRadiomicsColorectal cancerLogistic regressionRadiologyOncologyLasso (programming language)CohortLymph node

MeSH terms

AdultAgedAged, 80 and overCarcinoembryonic AntigenFemaleHumansLymphatic MetastasisMaleMiddle AgedTomography, X-Ray ComputedColorectal NeoplasmsNomogramsNeoplasm Grading

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