Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomes.

ABSTRACT:

Objectives

To investigate how studies determine the sample size when developing radiomics prediction models for binary outcomes, and whether the sample size meets the estimates obtained by using established criteria.

Methods

We identified radiomics studies that were published from 01 January 2023 to 31 December 2023 in seven leading peer-reviewed radiological journals. We reviewed the sample size justification methods, and actual sample size used. We calculated and compared the actual sample size used to the estimates obtained by using three established criteria proposed by Riley et al. We investigated which characteristics factors were associated with the sufficient sample size that meets the estimates obtained by using established criteria proposed by Riley et al. RESULTS:

SUBMITTER: Zhong J 

PROVIDER: S-EPMC11835977 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature