Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography
Journal
Annals of surgical oncology
Journal Volume
29
Journal Issue
12
Pages
7473
Date Issued
2022-11
Author(s)
Chen, Li-Wei
Chuang, Ching-Chia
Wang, Hao-Jen
Chen, Yi-Chang
Antonoff, Mara B
Wu, Carol C
Pan, Tinsu
Abstract
High-grade adenocarcinoma subtypes (micropapillary and solid) treated with sublobar resection have an unfavorable prognosis compared with those treated with lobectomy. We investigated the potential of incorporating solid attenuation component masks with deep learning in the prediction of high-grade components to optimize surgical strategy preoperatively.
Subjects
INTERNATIONAL-ASSOCIATION; IASLC/ATS/ERS CLASSIFICATION; PROGNOSTIC IMPACT; TUMOR RECURRENCE; CT; SUBTYPE; RESECTION; SURVIVAL; SIZE
SDGs
Publisher
SPRINGER
Type
journal article