Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging
ObjectiveTo assess the accuracy of corpus callosum (CC) biometry, including sub-segments, using 3D super-resolution fetal brain MRI (SR) compared to 2D or 3D ultrasound (US) and clinical low-resolution T2-weighted MRI (T2WS).MethodFetal brain biometry was conducted by two observers on 57 subjects [2...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2024.1358741/full |
| _version_ | 1797244880621142016 |
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| author | Samuel Lamon Samuel Lamon Samuel Lamon Priscille de Dumast Priscille de Dumast Thomas Sanchez Thomas Sanchez Vincent Dunet Léo Pomar Léo Pomar Yvan Vial Mériam Koob Meritxell Bach Cuadra Meritxell Bach Cuadra |
| author_facet | Samuel Lamon Samuel Lamon Samuel Lamon Priscille de Dumast Priscille de Dumast Thomas Sanchez Thomas Sanchez Vincent Dunet Léo Pomar Léo Pomar Yvan Vial Mériam Koob Meritxell Bach Cuadra Meritxell Bach Cuadra |
| author_sort | Samuel Lamon |
| collection | DOAJ |
| description | ObjectiveTo assess the accuracy of corpus callosum (CC) biometry, including sub-segments, using 3D super-resolution fetal brain MRI (SR) compared to 2D or 3D ultrasound (US) and clinical low-resolution T2-weighted MRI (T2WS).MethodFetal brain biometry was conducted by two observers on 57 subjects [21–35 weeks of gestational age (GA)], including 11 cases of partial CC agenesis. Measures were performed by a junior observer (obs1) on US, T2WS and SR and by a senior neuroradiologist (obs2) on T2WS and SR. CC biometric regression with GA was established. Statistical analysis assessed agreement within and between modalities and observers.ResultsThis study shows robust SR to US concordance across gestation, surpassing T2WS. In obs1, SR aligns with US, except for genu and CC length (CCL), enhancing splenium visibility. In obs2, SR closely corresponds to US, differing in rostrum and CCL. The anterior CC (rostrum and genu) exhibits higher variability. SR’s regression aligns better with literature (US) for CCL, splenium and body than T2WS. SR is the method with the least missing values.ConclusionSR yields CC biometry akin to US (excluding anterior CC). Thanks to superior 3D visualization and better through plane spatial resolution, SR allows to perform CC biometry more frequently than T2WS. |
| first_indexed | 2024-04-24T19:18:02Z |
| format | Article |
| id | doaj.art-f643bdb6d3bd43e6aa8a9b2e728771b3 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-04-24T19:18:02Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-f643bdb6d3bd43e6aa8a9b2e728771b32024-03-26T04:46:54ZengFrontiers Media S.A.Frontiers in Neurology1664-22952024-03-011510.3389/fneur.2024.13587411358741Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imagingSamuel Lamon0Samuel Lamon1Samuel Lamon2Priscille de Dumast3Priscille de Dumast4Thomas Sanchez5Thomas Sanchez6Vincent Dunet7Léo Pomar8Léo Pomar9Yvan Vial10Mériam Koob11Meritxell Bach Cuadra12Meritxell Bach Cuadra13Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, SwitzerlandCIBM Center for Biomedical Imaging, Lausanne, SwitzerlandUltrasound and Fetal Medicine, Department Woman-Mother-Child, Lausanne University Hospital and Lausanne University, Lausanne, SwitzerlandDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, SwitzerlandCIBM Center for Biomedical Imaging, Lausanne, SwitzerlandDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, SwitzerlandCIBM Center for Biomedical Imaging, Lausanne, SwitzerlandDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, SwitzerlandUltrasound and Fetal Medicine, Department Woman-Mother-Child, Lausanne University Hospital and Lausanne University, Lausanne, SwitzerlandSchool of Health Sciences (HESAV), University of Applied Sciences and Arts Western Switzerland, Lausanne, SwitzerlandUltrasound and Fetal Medicine, Department Woman-Mother-Child, Lausanne University Hospital and Lausanne University, Lausanne, SwitzerlandDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, SwitzerlandDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, SwitzerlandCIBM Center for Biomedical Imaging, Lausanne, SwitzerlandObjectiveTo assess the accuracy of corpus callosum (CC) biometry, including sub-segments, using 3D super-resolution fetal brain MRI (SR) compared to 2D or 3D ultrasound (US) and clinical low-resolution T2-weighted MRI (T2WS).MethodFetal brain biometry was conducted by two observers on 57 subjects [21–35 weeks of gestational age (GA)], including 11 cases of partial CC agenesis. Measures were performed by a junior observer (obs1) on US, T2WS and SR and by a senior neuroradiologist (obs2) on T2WS and SR. CC biometric regression with GA was established. Statistical analysis assessed agreement within and between modalities and observers.ResultsThis study shows robust SR to US concordance across gestation, surpassing T2WS. In obs1, SR aligns with US, except for genu and CC length (CCL), enhancing splenium visibility. In obs2, SR closely corresponds to US, differing in rostrum and CCL. The anterior CC (rostrum and genu) exhibits higher variability. SR’s regression aligns better with literature (US) for CCL, splenium and body than T2WS. SR is the method with the least missing values.ConclusionSR yields CC biometry akin to US (excluding anterior CC). Thanks to superior 3D visualization and better through plane spatial resolution, SR allows to perform CC biometry more frequently than T2WS.https://www.frontiersin.org/articles/10.3389/fneur.2024.1358741/fullsuper-resolution reconstructionmagnetic resonance imagingultrasoundbiometryfetal braincorpus callosum |
| spellingShingle | Samuel Lamon Samuel Lamon Samuel Lamon Priscille de Dumast Priscille de Dumast Thomas Sanchez Thomas Sanchez Vincent Dunet Léo Pomar Léo Pomar Yvan Vial Mériam Koob Meritxell Bach Cuadra Meritxell Bach Cuadra Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging Frontiers in Neurology super-resolution reconstruction magnetic resonance imaging ultrasound biometry fetal brain corpus callosum |
| title | Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging |
| title_full | Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging |
| title_fullStr | Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging |
| title_full_unstemmed | Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging |
| title_short | Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging |
| title_sort | assessment of fetal corpus callosum biometry by 3d super resolution reconstructed t2 weighted magnetic resonance imaging |
| topic | super-resolution reconstruction magnetic resonance imaging ultrasound biometry fetal brain corpus callosum |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2024.1358741/full |
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