Artificial intelligence analysis of three-dimensional imaging data derives factors associated with postoperative recurrence in patients with radiologically solid-predominant small-sized lung cancers.

Yujin KudoYoshihisa ShimadaJun MatsubayashiYoshiro KitamuraYojiro MakinoSachio MaeharaMasaru HagiwaraJinho ParkTakafumi YamadaSusumu TakeuchiMasatoshi KakihanaToshitaka NagaoTatsuo OhiraJun MasumotoNorihiko Ikeda

Published in: European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery (2022)

High AI-SV, high SUVmax and abnormal carcinoembryonic antigen level were unfavourable prognostic factors of patients with solid-predominant lung adenocarcinoma with a radiological size ≤2 cm. Our results suggest that lobectomy should be preferred to segmentectomy for patients with these prognostic factors.

Keyphrases

prognostic factors
artificial intelligence
big data
machine learning
deep learning
high resolution
patients undergoing
data analysis