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

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.

• Authors: Xi Lin, Huaming Wang, Jiayou Chen, Tao Lu, Dechun Zheng, Ying Chen, Yunbin Chen
• Journal: Acta radiologica (Stockholm, Sweden : 1987) (Acta Radiol) Vol. 64 Issue 2 Pg. 524-532 (Feb 2023) ISSN: 1600-0455 [Electronic] England
• PMID: 35137628 (Publication Type: Journal Article)

Topics

• Humans
• Retrospective Studies
• Adenocarcinoma of Lung (diagnostic imaging, drug therapy, pathology)
• Lung Neoplasms (diagnostic imaging, drug therapy, pathology)
• Tomography, X-Ray Computed (methods)
• ROC Curve