A prospective cohort study: can advanced ultrasonography replace magnetic resonance imaging in the diagnosis of placental adhesion disorders?


Journal

Journal of perinatal medicine
ISSN: 1619-3997
Titre abrégé: J Perinat Med
Pays: Germany
ID NLM: 0361031

Informations de publication

Date de publication:
27 Jun 2023
Historique:
received: 20 08 2022
accepted: 08 12 2022
medline: 9 6 2023
pubmed: 7 1 2023
entrez: 6 1 2023
Statut: epublish

Résumé

To define and compare the diagnostic accuracy of ultrasonography (USG) and magnetic resonance imaging (MRI) for the placental adhesive disorder (PAD). A prospective study was conducted between January 2019 and February 2020 in a tertiary referral university hospital. A total of 115 placenta previa cases were included in the study during the third trimester of gestation. USG examination was performed, and the placenta was scanned in a systematic manner using gray-scale ultrasound, color Doppler flow mapping, and 3-D imaging for each participant. Thereafter, all participants underwent an MRI examination. USG and MRI findings were compared with histopathological findings. Loss of the retroplacental sonolucent zone (71% [95% CI 47-88]) and an irregular retroplacental sonolucent zone (71% [95% CI 47-88]) were the most sensitive USG parameters. For MRI, the uterine bulging parameter was the most sensitive (60% [95% CI 36-80]) and specific (91% [95% CI 83-96]) findings, and it had the highest accuracy rate (85% [95% CI 77-91]). Overall, the USG sensitivity, specificity, and accuracy rates were 77% (95% CI 54-92), 87% (95% CI 79-93), and 85% (95% CI 77-91), respectively. The MRI sensitivity, specificity, and accuracy rates for all participants were 81% (95% CI 59-94), 85% (95% CI 76-92), and 84% (95% CI 76-90), respectively. In the diagnosis of PAD, the specificity and accuracy of USG are higher than that of MRI, whereas the sensitivity of MRI is better than that of USG.

Identifiants

pubmed: 36607899
pii: jpm-2022-0407
doi: 10.1515/jpm-2022-0407
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

675-681

Informations de copyright

© 2022 Walter de Gruyter GmbH, Berlin/Boston.

Références

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Auteurs

Sabahattin Anil Ari (SA)

Department of Obstetrics and Gynecology, Izmir Bakircay University School of Medicine, Izmir, Türkiye.

Asli Suner (A)

Department of Biostatistics and Medical Informatics, Ege University School of Medicine, İzmir, Türkiye.

Ayse Rabia Senkaya (AR)

Department of Obstetrics and Gynecology, Izmir Bakircay University School of Medicine, Izmir, Türkiye.

Firat Okmen (F)

Department of Obstetrics and Gynecology, Izmir Democracy University Buca Seyfi Demirsoy Training and Research Hospital, Izmir, Türkiye.

Ali Akdemir (A)

Department of Obstetrics and Gynecology, Ege University School of Medicine, Izmir, Türkiye.

Ahmet Mete Ergenoglu (AM)

Department of Obstetrics and Gynecology, Ege University School of Medicine, Izmir, Türkiye.

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