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Article

Natural Language Processing of Computed Tomography Reports to Label Metastatic Phenotypes With Prognostic Significance in Patients With Colorectal Cancer.

JCO clinical cancer informatics - 1 Sept 2022

Causa Andrieu Pamela, Golia Pernicka Jennifer S, Yaeger Rona, Lupton Kaelan, Batch Karen, Zulkernine Farhana, Simpson Amber L, Taya Michio, Gazit Lior, Nguyen Huy, Nicholas Kevin, Gangai Natalie, Sevilimedu Varadan, Dickinson Shannan, Paroder Viktoriya, Bates David D B, Do Richard

Abstract excerpt

PURPOSE: Natural language processing (NLP) applied to radiology reports can help identify clinically relevant M1 subcategories of patients with colorectal cancer (CRC). The primary purpose was to compare the overall survival (OS) of CRC according to American Joint Committee on Cancer TNM staging and explore an alternative classification. The secondary objective was to estimate the frequency of metastasis for each...

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Identifiers

PMID: 36103642
DOI: 10.1200/CCI.22.00014
PMCID: PMC9848599

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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