Whole-body non-forensic fetal virtopsy using postmortem magnetic resonance imaging at 7 Tesla vs classical autopsy.

MRI fetal autopsy high‐field magnetic resonance imaging postmortem magnetic resonance imaging postmortem whole‐body fetal imaging virtopsy virtual autopsy

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:
07 Oct 2024
Historique:
revised: 13 08 2024
received: 06 12 2023
accepted: 15 08 2024
medline: 8 10 2024
pubmed: 8 10 2024
entrez: 8 10 2024
Statut: aheadofprint

Résumé

To determine the diagnostic accuracy of virtual autopsy using whole-body postmortem ultra-high field magnetic resonance imaging (MRI) at 7 Tesla (T), using a short T2-weighted imaging (T2-WI) protocol, compared with classical autopsy, for detecting structural abnormalities in small second-trimester fetuses. Thirty consecutive fetuses at 13-19 weeks' gestation (weight, 17-364 g) were included following spontaneous pregnancy loss or termination of pregnancy. After fixation in 10% formaldehyde solution (48 h to 1 week), all fetuses were scanned using a two-dimensional turbo high-resolution T2-WI protocol with multislice relaxation time, followed by an invasive autopsy. The diagnostic accuracy of virtual autopsy vs classical autopsy was calculated for 990 anatomical structures (30 fetuses × 33 items). Sensitivity, specificity, positive and negative predictive values and Cohen's κ coefficient of agreement, with their 95% CIs, as well as the McNemar test, were used to evaluate the accuracy and agreement of the two diagnostic methods. Analysis was stratified by anatomical segment (nervous, pulmonary, cardiovascular, digestive, renal, facial and skeletal) and across three gestational-age intervals (13-14, 15-16 and 17-19 weeks). Considering classical autopsy as the gold standard, virtual autopsy had a sensitivity of 92.04% (95% CI, 85.42-96.29%) and a specificity of 97.87% (95% CI, 94.64-99.42%), with a positive predictive value of 96.30% (95% CI, 90.78-98.56%) and a negative predictive value of 95.34% (95% CI, 91.61-97.45%), achieving a diagnostic accuracy of 95.68% (95% CI, 92.73-97.68%) for detecting structural abnormalities in second-trimester fetuses. Cohen's κ for virtual vs classical autopsy was 0.907. The diagnostic ability of virtual autopsy at 7 T for malformed fetuses was superior to that of classical autopsy for analyzing the nervous system in small fetuses with pronounced autolysis, equivalent to that of classical autopsy when analyzing pulmonary, cardiovascular and renal systems and inferior when evaluating the fetal intestines. The sensitivity of virtual autopsy at 7 T for describing structural abnormalities increased with gestational age. Virtual fetal autopsy using 7-T MRI and a turbo high-resolution T2-WI protocol with multislice relaxation time is a feasible postmortem diagnostic tool for the identification of fetal structural anomalies. © 2024 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Identifiants

pubmed: 39376058
doi: 10.1002/uog.29106
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Universitatea de Medicină şi Farmacie Iuliu Haţieganu Cluj-Napoca
ID : 35.166/17.12.2022

Informations de copyright

© 2024 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

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Auteurs

A Staicu (A)

Mother and Child Department, 1st Clinic of Obstetrics and Gynaecology, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.

C Albu (C)

Department of Pathology, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Centre of Advanced Research Studies, Emergency County Hospital, IMOGEN, Cluj-Napoca, Romania.

R Popa-Stanila (R)

Centre of Advanced Research Studies, Emergency County Hospital, IMOGEN, Cluj-Napoca, Romania.
Department of Radiology, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.

C Bondor (C)

Department of Medical Informatics and Biostatistics, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.

L Chiriac (L)

Department of Medical Biophysics, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.
National Magnetic Resonance Centre, Babeș Bolyai University, Cluj-Napoca, Romania.
Faculty of Physics, Babeș Bolyai University, Cluj-Napoca, Romania.

D Eniu (D)

Department of Medical Biophysics, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.

I Goidescu (I)

Mother and Child Department, 1st Clinic of Obstetrics and Gynaecology, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.

A R Florian (AR)

Mother and Child Department, 1st Clinic of Obstetrics and Gynaecology, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.

M Surcel (M)

Mother and Child Department, 1st Clinic of Obstetrics and Gynaecology, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.

G Cruciat (G)

Mother and Child Department, 1st Clinic of Obstetrics and Gynaecology, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.

D Muresan (D)

Mother and Child Department, 1st Clinic of Obstetrics and Gynaecology, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.

I Rotar (I)

Mother and Child Department, 1st Clinic of Obstetrics and Gynaecology, 'Iuliu Haţieganu' University of Medicine and Pharmacy, Cluj-Napoca, Romania.

Classifications MeSH