Radiomics with Artificial Intelligence for the Prediction of Early Recurrence in Patients with Clinical Stage IA Lung Cancer

Background We seek to explore the ability of computed tomography (CT)-based radiomics coupled with artificial intelligence (AI) to predict early recurrence (

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Bibliographic Details
Published in:Annals of surgical oncology 2022-12, Vol.29 (13), p.8185-8193
Main Authors: Shimada, Yoshihisa, Kudo, Yujin, Maehara, Sachio, Amemiya, Ryosuke, Masuno, Ryuhei, Park, Jinho, Ikeda, Norihiko
Format: Article
Language:English
Subjects:
Artificial Intelligence
Bronchus
Carcinoma in Situ
Carcinoma, Non-Small-Cell Lung - diagnostic imaging
Carcinoma, Non-Small-Cell Lung - pathology
Carcinoma, Non-Small-Cell Lung - surgery
Computed tomography
Humans
Lung cancer
Lung Neoplasms - diagnostic imaging
Lung Neoplasms - surgery
Male
Medicine
Medicine & Public Health
Multivariate analysis
Neoplasm Staging
Nodules
Non-small cell lung carcinoma
Oncology
Patients
Radiomics
Retrospective Studies
Small cell lung carcinoma
Surgery
Surgical Oncology
Thoracic Oncology
Tomography, X-Ray Computed - methods
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Description
Summary:Background We seek to explore the ability of computed tomography (CT)-based radiomics coupled with artificial intelligence (AI) to predict early recurrence (
ISSN:1068-9265
1534-4681
DOI:10.1245/s10434-022-12516-x