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Article

Deep learning radiomics model related with genomics phenotypes for lymph node metastasis prediction in colorectal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology - 1 Feb 2022

Zhao Jiaojiao, Wang Han, Zhang Yin, Wang Rui, Liu Qin, Li Jie, Li Xue, Huang Hanyu, Zhang Jie, Zeng Zhaoping, Zhang Jun, Yi Zhang, Zeng Fanxin

Abstract excerpt

BACKGROUND AND PURPOSE: The preoperative lymph node (LN) status is important for the treatment of colorectal cancer (CRC). Here, we established and validated a deep learning (DPL) model for predicting lymph node metastasis (LNM) in CRC. MATERIALS AND METHODS: A total of 423 CRC patients were divided into cohort 1 (training set, n = 238, testing set, n = 101) and cohort 2 (validation set, n = 84). Among them, 84...

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PMID: 34968471
DOI: 10.1016/j.radonc.2021.12.031

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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