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CT-based Radiogenomic Analysis of Clinical Stage I Lung Adenocarcinoma with Histopathologic Features and Oncologic Outcomes

2022; Radiological Society of North America; Volume: 303; Issue: 3 Linguagem: Inglês

10.1148/radiol.211582

1527-1315

Rocío Pérez-Johnston, José de Arimateia Batista Araújo-Filho, James G. Connolly, Raul Caso, Karissa Whiting, Kay See Tan, Jian Zhou, Peter Gibbs, Natasha Rekhtman, Michelle S. Ginsberg, David R. Jones,

Medical Imaging Techniques and Applications

Background A preoperative predictive model is needed that can be used to identify patients with lung adenocarcinoma (LUAD) who have a higher risk of recurrence or metastasis. Purpose To investigate associations between CT-based radiomic consensus clustering of stage I LUAD and clinical-pathologic features, genomic data, and patient outcomes. Materials and Methods Patients who underwent complete surgical resection for LUAD from April 2014 to December 2017 with preoperative CT and next-generation sequencing data were retrospectively identified. Comprehensive radiomic analysis was performed on preoperative CT images; tumors were classified as solid, ground glass, or mixed. Patients were clustered into groups based on their radiomics features using consensus clustering, and clusters were compared with tumor genomic alterations, histopathologic features, and recurrence-specific survival (Kruskal-Wallis test for continuous data, χ