Prognostic Predictors of Radical Resection of Stage I-IIIB Non-small Cell Lung Cancer: the Role of Preoperative CT Texture Features, Conventional Imaging Features, and Clinical Features in a Retrospectively Analyzed

Overview

Journal BMC Pulm Med

Publisher Biomed Central

Specialty Pulmonary Medicine

Date 2023 Apr 14

PMID 37060067

Authors

Xingxing Zheng

Rui Li

Lihua Fan

Yaqiong Ge

Wei Li

Feng Feng

Affiliations

Soon will be listed here.

Abstract

Background: To investigate the value of preoperative computed tomography (CT) texture features, routine imaging features, and clinical features in the prognosis of non-small cell lung cancer (NSCLC) after radical resection.

Methods: Demographic parameters and clinically features were analyzed in 107 patients with stage I-IIIB NSCLC, while 73 of these patients received CT scanning and radiomic characteristics for prognosis assessment. Texture analysis features include histogram, gray size area matrix and gray co-occurrence matrix features. The clinical risk features were identified using univariate and multivariate logistic analyses. By incorporating the radiomics score (Rad-score) and clinical risk features with multivariate cox regression, a combined nomogram was built. The nomogram performance was assessed by its calibration, clinical usefulness and Harrell's concordance index (C-index). The 5-year OS between the dichotomized subgroups was compared using Kaplan-Meier (KM) analysis and the log-rank test.

Results: Consisting of 4 selected features, the radiomics signature showed a favorable discriminative performance for prognosis, with an AUC of 0.91 (95% CI: 0.84 ~ 0.97). The nomogram, consisting of the radiomics signature, N stage, and tumor size, showed good calibration. The nomogram also exhibited prognostic ability with a C-index of 0.91 (95% CI, 0.86-0.95) for OS. The decision curve analysis indicated that the nomogram was clinically useful. According to the KM survival curves, the low-risk group had higher 5-year survival rate compared to high-risk.

Conclusion: The as developed nomogram, combining with preoperative radiomics evidence, N stage, and tumor size, has potential to preoperatively predict the prognosis of NSCLC with a high accuracy and could assist to treatment for the NSCLC patients in the clinic.

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PMID: 37697335 PMC: 10494366. DOI: 10.1186/s12890-023-02588-0.

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