Modeling fetal cortical development by quantile regression for gestational age and head circumference: a prospective cross sectional study.


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 Nov 2023
Historique:
received: 26 04 2023
accepted: 03 08 2023
medline: 9 11 2023
pubmed: 19 8 2023
entrez: 19 8 2023
Statut: epublish

Résumé

To develop charts for fetal brain cortical structures following a proposed standardized methodology and using quantile regression. Prospective cross-sectional study including 344 low-risk singleton pregnancies between 19 and 34 weeks of gestation. The depth of Sylvian (SF), Parieto-occipital (POF) and Calcarine fissures (CF) were measured on ultrasound images using a standardized technique and their changes were evaluated by quantile regression as a function of gestational age (GA) interval or head circumference (HC). The measurements of SF, POF and CF depth significantly increased with gestation. Linear models better described the changes of cortical variables with GA and HC. When the fit of sulci depth with GA and HC were compared, a close relationship was highlighted for the latter variable. We provided prospective charts of fetal cortical development using quantile regression and following a strict standardized methodology These new charts may help in better identifying cases at higher risk of abnormal cortical neurodevelopment.

Identifiants

pubmed: 37596832
pii: jpm-2023-0176
doi: 10.1515/jpm-2023-0176
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1212-1219

Informations de copyright

© 2023 Walter de Gruyter GmbH, Berlin/Boston.

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Auteurs

Maria Chiara Marra (MC)

Department of Obstetrics and Gynecology Fondazione Policlinico Tor Vergata, Università di Roma Tor Vergata, Rome, Italy.

Maria Elena Pietrolucci (ME)

Department of Obstetrics and Gynecology Fondazione Policlinico Tor Vergata, Università di Roma Tor Vergata, Rome, Italy.

Ilenia Mappa (I)

Department of Obstetrics and Gynecology Fondazione Policlinico Tor Vergata, Università di Roma Tor Vergata, Rome, Italy.

Ja Li Angela Lu (JLA)

Department of Obstetrics and Gynecology Fondazione Policlinico Tor Vergata, Università di Roma Tor Vergata, Rome, Italy.

Daniele Di Mascio (D)

Department of Obstetrics and Gynecology, Università Roma La Sapienza, Rome, Italy.

Francesco D'Antonio (F)

Department of Obstetrics and Gynecology, Università di Chieti, Chieti, Italy.

Giuseppe Rizzo (G)

Department of Obstetrics and Gynecology Fondazione Policlinico Tor Vergata, Università di Roma Tor Vergata, Rome, Italy.

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