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Dataset Information

Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity.


ABSTRACT:

Objectives

To assess the reproducibility of radiomics features extracted from the developing lung in repeated in-vivo fetal MRI acquisitions.

Methods

In-vivo MRI (1.5 Tesla) scans of 30 fetuses, each including two axial and one coronal T2-weighted sequences of the whole lung with all other acquisition parameters kept constant, were retrospectively identified. Manual segmentation of the lungs was performed using ITK-Snap. One hundred radiomics features were extracted from fetal lung MRI data using Pyradiomics, resulting in 90 datasets. Intra-class correlation coefficients (ICC) of radiomics features were calculated between baseline and repeat axial acquisitions and between baseline axial and coronal acquisitions.

Results

MRI data of 30 fetuses (12 [40%] females, 18 [60

SUBMITTER: Prayer F 

PROVIDER: S-EPMC10182107 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature