Accuracy of prenatal and postnatal imaging for management of congenital lung malformations.


Journal

Journal of pediatric surgery
ISSN: 1531-5037
Titre abrégé: J Pediatr Surg
Pays: United States
ID NLM: 0052631

Informations de publication

Date de publication:
May 2020
Historique:
received: 20 01 2020
accepted: 25 01 2020
pubmed: 24 2 2020
medline: 21 10 2020
entrez: 24 2 2020
Statut: ppublish

Résumé

The purpose of this study was to compare the accuracy of prenatal and postnatal imaging modalities for evaluation and management of congenital lung malformations (CLMs). A retrospective review was performed of all fetuses evaluated for a CLM between December 2001 and January 2018. Pre and postnatal imaging findings, operative treatment, and patient outcomes were collected. Patients were included in analysis if they had fetal imaging (US and/or fetal MRI), a postnatal chest CT, and surgical pathology. Over the study period, we identified 157 patients with prenatal imaging that also had a follow-up with postnatal chest CT at a median age of 2.1 [1.4, 3.2] months. Of these, 75% (n = 117) had surgical resection. Diagnostic accuracy (DA) for localization of unilobar lesions was 100% for pre- and postnatal imaging and 97% vs 98% for multilobar disease, respectively. On comparison for identification of aberrant vasculature and pathology prediction, pre- and postnatal imaging DAs were similar. However, postnatal CT had the highest specificity for diagnosing lesions overall (p < 0.05). Prenatal imaging provides valuable information for counseling and possible fetal intervention. However, this study suggests that postnatal CT scan continues to provide important information for preoperative counseling and surgical management. Retrospective study. Level IV.

Identifiants

pubmed: 32087934
pii: S0022-3468(20)30059-2
doi: 10.1016/j.jpedsurg.2020.01.020
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

844-847

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Candace C Style (CC)

Texas Children's Fetal Center, Baylor College of Medicine, Houston, TX; Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.

Amy R Mehollin-Ray (AR)

Texas Children's Fetal Center, Baylor College of Medicine, Houston, TX; Department of Radiology, Baylor College of Medicine, Houston, TX.

Mariatu A Verla (MA)

Texas Children's Fetal Center, Baylor College of Medicine, Houston, TX; Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.

Oluyinka O Olutoye (OO)

Texas Children's Fetal Center, Baylor College of Medicine, Houston, TX; Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX; Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX.

Patricio E Lau (PE)

Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.

Brittany L Johnson (BL)

Texas Children's Fetal Center, Baylor College of Medicine, Houston, TX; Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.

Alice King (A)

Texas Children's Fetal Center, Baylor College of Medicine, Houston, TX; Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.

Sundeep G Keswani (SG)

Texas Children's Fetal Center, Baylor College of Medicine, Houston, TX; Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.

Timothy C Lee (TC)

Texas Children's Fetal Center, Baylor College of Medicine, Houston, TX; Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX. Electronic address: timlee@bcm.edu.

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Classifications MeSH