Effectiveness of CT-based Radiomics Features in Radiation Therapy for Patients with Non-Small Cell Lung Cancer

DOI: https://doi.org/10.62517/jmhs.202305203

Author(s)

Ronghui Jin

Affiliation(s)

Department of Radiation, Shaanxi Provincial People’s Hospital, Xi’an 710068, Shaanxi Province, China

Abstract

To analyze the effectiveness of CT-based radiomics features in the radiotherapy for patients with non-small cell lung cancer. 100 patients with non-small cell lung cancer who received corresponding treatment in the hospital from February 2022 to February 2023 were selected as subjects of the study, and they were randomly divided into the training group and the validation group. Patients in both groups underwent stereotactic radiotherapy. The study collects computed tomography (CT) images of the patients before treatment and extracts imaging features. The study uses the Least Absolute Shrinkage and Selection Operator (LASSO) to screen for the best omics features and analyzes the relationship between the efficacy of radiation therapy and radiomics features. The independent risk factors for the effectiveness of radiation therapy in patients include carcinoembryonic antigen (CEA), indoleamine 2, 3-dioxygenase (IDO), and radiomics signature. The efficacy of radiotherapy for patients with non-small cell lung cancer can be effectively evaluated by using CT-based radiomics features.

Keywords

Non-Small Cell Lung Cancer; Radiotherapy Effect; CT; Radiomics Features

References

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