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

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 acquisi...

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Autores principales: Prayer, Florian, Watzenböck, Martin L., Heidinger, Benedikt H., Rainer, Julian, Schmidbauer, Victor, Prosch, Helmut, Ulm, Barbara, Rubesova, Erika, Prayer, Daniela, Kasprian, Gregor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182107/
https://www.ncbi.nlm.nih.gov/pubmed/36604329
http://dx.doi.org/10.1007/s00330-022-09367-1
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author Prayer, Florian
Watzenböck, Martin L.
Heidinger, Benedikt H.
Rainer, Julian
Schmidbauer, Victor
Prosch, Helmut
Ulm, Barbara
Rubesova, Erika
Prayer, Daniela
Kasprian, Gregor
author_facet Prayer, Florian
Watzenböck, Martin L.
Heidinger, Benedikt H.
Rainer, Julian
Schmidbauer, Victor
Prosch, Helmut
Ulm, Barbara
Rubesova, Erika
Prayer, Daniela
Kasprian, Gregor
author_sort Prayer, Florian
collection PubMed
description 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%] males) at a median gestational age of 24 + 5 gestational weeks plus days (GW) (interquartile range [IQR] 3 + 3 GW, range 21 + 1 to 32 + 6 GW) were included. Median ICC of radiomics features between baseline and repeat axial MR acquisitions was 0.92 (IQR 0.13, range 0.33 to 1), with 60 features exhibiting excellent (ICC > 0.9), 27 good (> 0.75–0.9), twelve moderate (0.5–0.75), and one poor (ICC < 0.5) reproducibility. Median ICC of radiomics features between baseline axial and coronal MR acquisitions was 0.79 (IQR 0.15, range 0.2 to 1), with 20 features exhibiting excellent, 47 good, 29 moderate, and four poor reproducibility. CONCLUSION: Standardized in-vivo fetal MRI allows reproducible extraction of lung radiomics features. In the future, radiomics analysis may improve diagnostic and prognostic yield of fetal MRI in normal and pathologic lung development. KEY POINTS: • Non-invasive fetal MRI acquired using a standardized protocol allows reproducible extraction of radiomics features from the developing lung for objective tissue characterization. • Alteration of imaging plane between fetal MRI acquisitions has a negative impact on lung radiomics feature reproducibility. • Fetal MRI radiomics features reflecting the microstructure and shape of the fetal lung could complement observed-to-expected lung volume in the prediction of postnatal outcome and optimal treatment of fetuses with abnormal lung development in the future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-09367-1.
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spelling pubmed-101821072023-05-14 Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity Prayer, Florian Watzenböck, Martin L. Heidinger, Benedikt H. Rainer, Julian Schmidbauer, Victor Prosch, Helmut Ulm, Barbara Rubesova, Erika Prayer, Daniela Kasprian, Gregor Eur Radiol Paediatric 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%] males) at a median gestational age of 24 + 5 gestational weeks plus days (GW) (interquartile range [IQR] 3 + 3 GW, range 21 + 1 to 32 + 6 GW) were included. Median ICC of radiomics features between baseline and repeat axial MR acquisitions was 0.92 (IQR 0.13, range 0.33 to 1), with 60 features exhibiting excellent (ICC > 0.9), 27 good (> 0.75–0.9), twelve moderate (0.5–0.75), and one poor (ICC < 0.5) reproducibility. Median ICC of radiomics features between baseline axial and coronal MR acquisitions was 0.79 (IQR 0.15, range 0.2 to 1), with 20 features exhibiting excellent, 47 good, 29 moderate, and four poor reproducibility. CONCLUSION: Standardized in-vivo fetal MRI allows reproducible extraction of lung radiomics features. In the future, radiomics analysis may improve diagnostic and prognostic yield of fetal MRI in normal and pathologic lung development. KEY POINTS: • Non-invasive fetal MRI acquired using a standardized protocol allows reproducible extraction of radiomics features from the developing lung for objective tissue characterization. • Alteration of imaging plane between fetal MRI acquisitions has a negative impact on lung radiomics feature reproducibility. • Fetal MRI radiomics features reflecting the microstructure and shape of the fetal lung could complement observed-to-expected lung volume in the prediction of postnatal outcome and optimal treatment of fetuses with abnormal lung development in the future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-09367-1. Springer Berlin Heidelberg 2023-01-06 2023 /pmc/articles/PMC10182107/ /pubmed/36604329 http://dx.doi.org/10.1007/s00330-022-09367-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Paediatric
Prayer, Florian
Watzenböck, Martin L.
Heidinger, Benedikt H.
Rainer, Julian
Schmidbauer, Victor
Prosch, Helmut
Ulm, Barbara
Rubesova, Erika
Prayer, Daniela
Kasprian, Gregor
Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity
title Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity
title_full Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity
title_fullStr Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity
title_full_unstemmed Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity
title_short Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity
title_sort fetal mri radiomics: non-invasive and reproducible quantification of human lung maturity
topic Paediatric
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182107/
https://www.ncbi.nlm.nih.gov/pubmed/36604329
http://dx.doi.org/10.1007/s00330-022-09367-1
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