Biometry and volumetry in multi-centric fetal brain magnetic resonance imaging: assessing the bias of super-resolution reconstruction.
Por:
Sanchez T, Mihailov A, Koob M, Girard N, Manchon A, Valenzuela I, Gómez-Chiari M, Martí Juan G, Pron A, Eixarch E, Piella G, Gonzalez Ballester MA, Camara O, Dunet V, Auzias G and Bach Cuadra M
Publicada:
1 sep 2025
Ahead of Print:
8 ago 2025
Resumen:
BACKGROUND: Fetal brain MRI is increasingly used to complement ultrasound imaging. Images are processed using complex super-resolution reconstruction pipelines, which may bias biometric and volumetric measurements. OBJECTIVE: To assess the consistency of 2-dimensional (D) biometric and 3-D volumetric measurements across three hospitals using three widely used super-resolution reconstruction pipelines. MATERIALS AND METHODS: This retrospective multi-centric study used T2-weighted fetal brain MRI scans acquired at three hospitals between 2009 and 2023. MRIs from each subject were reconstructed with each super-resolution reconstruction method, and biometric measurements were performed by four experts. Automated 3-D volumetry was performed using a state-of-the-art segmentation method. A qualitative evaluation assessed the clinicians' likelihood of using super-resolution reconstructed volumes in their practice. RESULTS: Eighty-four healthy subjects were included. Biometric measurements revealed statistically significant changes that consistently remained below voxel width (0.8 mm; P<0.001). Automated 3-D volumetry revealed small systematic effects (<2.8%; P<0.001). The qualitative evaluation showed systematic differences between super-resolution reconstruction methods for the perception of white matter intensity (P=0.02) and sharpness of the image (P=0.01). CONCLUSION: Variations in 2-D and 3-D quantitative measurements did not show any large systematic bias when using different super-resolution reconstruction methods for clinical radiological assessment across centers, scanners, and raters.
Filiaciones:
Sanchez T:
University of Lausanne, Lausanne, Switzerland
Lausanne University Hospital (CHUV), Rue du Bugnon 46, Lausanne, 1011, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Mihailov A:
Institut de Neurosciences de la Timone, Marseille, France
Koob M:
Lausanne University Hospital (CHUV), Rue du Bugnon 46, Lausanne, 1011, Switzerland
Girard N:
Institut de Neurosciences de la Timone, Marseille, France
Hôpital de la Timone, Marseille, France
Manchon A:
Institut de Neurosciences de la Timone, Marseille, France
Hôpital de la Timone, Marseille, France
:
BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, Universitat de Barcelona), Barcelona, Spain
Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
Centre for Biomedical Research on Rare Diseases (CIBERER), Barcelona, Spain
Gómez-Chiari M:
BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, Universitat de Barcelona), Barcelona, Spain
Hospital Sant Joan de Déu Barcelona, Barcelona, Spain
Martí Juan G:
Pompeu Fabra University, Barcelona, Spain
Pron A:
Institut de Neurosciences de la Timone, Marseille, France
Eixarch E:
BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, Universitat de Barcelona), Barcelona, Spain
Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
Centre for Biomedical Research on Rare Diseases (CIBERER), Barcelona, Spain
Piella G:
Pompeu Fabra University, Barcelona, Spain
Gonzalez Ballester MA:
Pompeu Fabra University, Barcelona, Spain
Camara O:
Pompeu Fabra University, Barcelona, Spain
Dunet V:
Lausanne University Hospital (CHUV), Rue du Bugnon 46, Lausanne, 1011, Switzerland
Auzias G:
Institut de Neurosciences de la Timone, Marseille, France
Bach Cuadra M:
University of Lausanne, Lausanne, Switzerland
Lausanne University Hospital (CHUV), Rue du Bugnon 46, Lausanne, 1011, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Green Submitted, hybrid
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