Three-dimensional reconstruction of defects in congenital diaphragmatic hernia: a fetal MRI study.


Journal

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
ISSN: 1469-0705
Titre abrégé: Ultrasound Obstet Gynecol
Pays: England
ID NLM: 9108340

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 23 01 2019
revised: 30 03 2019
accepted: 10 04 2019
pubmed: 16 4 2019
medline: 7 1 2020
entrez: 16 4 2019
Statut: ppublish

Résumé

To assess the clinical feasibility and validity of fetal magnetic resonance imaging (MRI)-based three-dimensional (3D) reconstruction to locate, classify and quantify diaphragmatic defects in congenital diaphragmatic hernia (CDH). This retrospective study included 46 cases of CDH which underwent a total of 69 fetal MRI scans (65 in-vivo and four postmortem) at the Medical University of Vienna during the period 1 January 2002 to 1 January 2017. Scans were performed between 16 and 38 gestational weeks using steady-state free precession, T2-weighted and T1-weighted sequences. MRI data were retrieved from the hospital database and manual segmentation of the diaphragm was performed with the open-source software, ITK-SNAP. The resulting 3D models of the fetal diaphragm and its defect(s) were validated by postmortem MRI segmentation and/or comparison of 3D model-based classification of the defect with a reference classification based on autopsy and/or surgery reports. Surface areas of the intact diaphragm and of the defect were measured and used to calculate defect-diaphragmatic ratios (DDR). The need for prosthetic patch repair and, in cases with repeated in-vivo fetal MRI scans, diaphragm growth dynamics, were analyzed based on DDR. Fetal MRI-based manual segmentation of the diaphragm in CDH was feasible for all 65 (100%) of the in-vivo fetal MRI scans. Based on the 3D diaphragmatic models, one bilateral and 45 unilateral defects (n = 47) were further classified as posterolateral (23/47, 48.9%), lateral (7/47, 14.9%) or hemidiaphragmatic (17/47, 36.2%) defects, and none (0%) was classified as anterolateral. This classification of defect location was correct in all 37 (100%) of the cases in which this information could be verified. Nineteen cases had a follow-up fetal MRI scan; in five (26.3%) of these, the initial CDH classification was altered by the results of the second scan. Thirty-three fetuses underwent postnatal diaphragmatic surgical repair; 20 fetuses (all of those with DDR ≥ 54 and 88% of those with DDR > 30) received a diaphragmatic patch, while the other 13 underwent primary surgical repair. Individual DDRs at initial and at follow-up in-vivo fetal MRI correlated significantly (P < 0.001). MRI-based 3D reconstruction of the fetal diaphragm in CDH has been validated to visualize, locate, classify and quantify the defect. Planning of postnatal surgery may be optimized by MRI-based prediction of the necessity for patch placement and the ability to personalize patch design based on 3D-printable templates. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

Identifiants

pubmed: 30985045
doi: 10.1002/uog.20296
pmc: PMC6619026
doi:

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

816-826

Subventions

Organisme : Austrian Research Promotion Agency (FFG)
Organisme : M3dRES project

Informations de copyright

Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

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Auteurs

F Prayer (F)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

M Metzelder (M)

Department of Surgery, Division of Pediatric Surgery, Medical University of Vienna, Vienna, Austria.

W Krois (W)

Department of Surgery, Division of Pediatric Surgery, Medical University of Vienna, Vienna, Austria.

P C Brugger (PC)

Center for Anatomy and Cell Biology, Department of Anatomy, Medical University of Vienna, Vienna, Austria.

G M Gruber (GM)

Center for Anatomy and Cell Biology, Department of Anatomy, Medical University of Vienna, Vienna, Austria.

M Weber (M)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

A Scharrer (A)

Department of Pathology, Medical University of Vienna, Vienna, Austria.

A Rokitansky (A)

Department of Pediatric Surgery, Social Medical Centre East, Danube Hospital, Vienna, Austria.

G Langs (G)

Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

D Prayer (D)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

E Unger (E)

Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

G Kasprian (G)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

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