The value of CT-based radiomics in early assessment of chemotherapeutic effect in patients with advanced lung adenocarcinoma: a preliminary study. (February 2023)

• Record Type: Journal Article
• Authors: Lin, Xi; Wang, Huaming; Chen, Jiayou; Lu, Tao; Zheng, Dechun; Chen, Ying; Chen, Yunbin
• Is Part Of: Acta radiologica. Volume 64:Number 2(2023)
• Page Start: 524
• Page End: 532
• Publication Date: 2023-02
• Subjects: Computed tomography -- radiomics -- texture analysis -- lung cancer -- chemotherapy -- response evaluation; Radiology, Medical -- Periodicals; Radiography, Medical -- Periodicals; Radiotherapy -- Periodicals; 616.0757
• DOI: 10.1177/02841851221078290
• Languages: English
• ISSNs: 0284-1851

Abstract

Background: Computed tomography (CT) is the preferred method for evaluating the therapeutic effect of lung cancer. Radiomics parameters can provide a lot of supplementary information for clinical diagnosis and treatment. Purpose: To investigate the value of radiomics features of CT imaging to predict and evaluate the early efficacy of chemotherapy in patients with advanced lung adenocarcinoma. Material and Methods: A total of 101 patients with advanced lung adenocarcinoma were enrolled. Patients were classified into a response group and non-response group according to RECIST 1.1 standard. All patients underwent chest CT examination before and after two cycles of chemotherapy. A total of 293 radiomics features were calculated. The features between response group and non-response group were compared before and after chemotherapy. The diagnostic efficacy was evaluated using the receiver operating characteristic curve. Results: The six pre-chemotherapy radiomics features were selected, with area under the curve (AUC), sensitivity, and specificity at 0.720, 68.3%, and 69.0% in the training group and 0.573, 50.0%, and 76.9% in the test group, respectively. The eleven post-chemotherapy radiomics features were selected, with AUC, sensitivity, specificity at 0.789, 75.6%, and 75.9% in the training group and 0.718, 61.1%, and 76.9% in the test group, respectively. The prognostic value of △f8, △f16, %f8, and %f16 were higher than the other features with AUCs of 0.787, 0.837, 0.763, and 0.877, respectively. Conclusion: Radiomics is expected to provide more valuable information for evaluating the chemotherapy efficacy of lung adenocarcinoma.