AI-driven assessment of over-scanning in chest CT: A systematic review and meta-analysis.

ABSTRACT:

Introduction

Scan range is crucial for CT acquisitions. However, irrelevant over-scanning in CT is common and contributes to a significant radiation dose. This review explores the role of artificial intelligence (AI) in addressing manual over-scanning in chest CT imaging.

Methods

A systematic search of peer-reviewed publications was conducted between December 2015 and March 2025 in Embase, Scopus, Ovid, EBSCOhost, and PubMed. Two reviewers and an academic lecturer independently reviewed the articles to ensure adherence to inclusion criteria. The quality of the included studies was assessed using CLAIM and QUADAS-2 tools. Summary estimates on over-scanning at the upper and lower boundaries of the scan range in chest CT were derived using meta-analysis.

Results

Five stu

SUBMITTER: Bani-Ahmad M 

PROVIDER: S-EPMC12329503 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature