Machine learning-based estimation of patient body weight from radiation dose metrics in computed tomography.

ABSTRACT:

Purpose

Currently, precise patient body weight (BW) at the time of diagnostic imaging cannot always be used for radiation dose management. Various methods have been explored to address this issue, including the application of deep learning to medical imaging and BW estimation using scan parameters. This study develops and evaluates machine learning-based BW prediction models using 11 features related to radiation dose obtained from computed tomography (CT) scans.

Methods

A dataset was obtained from 3996 patients who underwent positron emission tomography CT scans, and training and test sets were established. Dose metrics and descriptive data were automatically calculated from the CT images or obtained from Digital Imaging and Communications in Medicine metadata. Seven machin

SUBMITTER: Ichikawa H 

PROVIDER: S-EPMC11492421 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature