Can quantitative peritumoral CT radiomics features predict the prognosis of patients with non-small cell lung cancer? A systematic review.

ABSTRACT:

Objectives

To provide an overarching evaluation of the value of peritumoral CT radiomics features for predicting the prognosis of non-small cell lung cancer and to assess the quality of the available studies.

Methods

The PubMed, Embase, Web of Science, and Cochrane Library databases were searched for studies predicting the prognosis in patients with non-small cell lung cancer (NSCLC) using CT-based peritumoral radiomics features. Information about the patient, CT-scanner, and radiomics analyses were all extracted for the included studies. Study quality was assessed using the Radiomics Quality Score (RQS) and the Prediction Model Risk of Bias Assessment Tool (PROBAST).

Results

Thirteen studies were included with 2942 patients from 2017 to 2022. Only one study was prosp

SUBMITTER: Wu L 

PROVIDER: S-EPMC9935659 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature