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Article

Machine learning-based gene alteration prediction model for primary lung cancer using cytologic images.

Cancer cytopathology - 1 Oct 2022

Ishii Shuhei, Takamatsu Manabu, Ninomiya Hironori, Inamura Kentaro, Horai Takeshi, Iyoda Akira, Honma Naoko, Hoshi Rira, Sugiyama Yuko, Yanagitani Noriko, Mun Mingyon, Abe Hitoshi, Mikami Tetuo, Takeuchi Kengo

Abstract excerpt

BACKGROUND: Understanding the gene alteration status of primary lung cancers is important for determining treatment strategies, but gene testing is both time-consuming and costly, limiting its application in clinical practice. Here, potential therapeutic targets were selected by predicting gene alterations in cytologic specimens before conventional gene testing. METHODS: This was a retrospective study to develop...

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PMID: 35723561
DOI: 10.1002/cncy.22609

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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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