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Dataset Information

Predicting the invasiveness of ground-glass opacity predominant lung adenocarcinoma with clinical stage Ia: a CT-based semantic and radiomics analysis.


ABSTRACT:

Background

Limited surgery is deemed advantageous due to its potential to minimize damage and preserve a greater extent of functional lung tissue, contingent upon the invasiveness of lung adenocarcinoma (ADC). The aim of this study was to non-invasively predict the invasiveness of ground-glass opacity (GGO) predominant nodules presented on preoperative computed tomography (CT) of ADC patients with clinical stage Ia.

Methods

We constructed a primary cohort comprising 437 clinical stage Ia ADC patients from the Tianjin Medical University Cancer Institute and Hospital and utilized data from 135 patients from the Tianjin Medical University General Hospital for validation. Radiomics features were extracted by the PyRadiomics software and screened by spearman correlation analysis,

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC11565351 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature