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Prenatal assessment and prediction in CDH: for what purpose?
Maëlig Abgral1, Francesca M Russo2, Jan Deprest3
1Department of Obstetrics and Gynecology, DMU Santé des Femmes et des Nouveau-nés, Antoine Béclère Hospital, Paris Saclay University, AP-HP, Clamart, France; Centre Référence Maladies Rares, Hernie de Coupole Diaphragmatique, Clamart, France.
Prenatal imaging for congenital diaphragmatic hernia (CDH) is vital for prognosis. Current methods like lung-to-head ratio predict outcomes but not all complications, necessitating improved diagnostic markers.
Area of Science:
- Medical Imaging
- Fetal Medicine
- Neonatology
Background:
- Congenital diaphragmatic hernia (CDH) diagnosis is typically prenatal.
- Accurate assessment is critical for prognosis, parental counseling, and treatment planning.
- Pulmonary hypoplasia is the primary prognostic indicator, assessed via ultrasound and MRI (e.g., lung-to-head ratio, total fetal lung volume).
Purpose of the Study:
- To critically review current prenatal imaging methods for CDH.
- To highlight the strengths and limitations of existing prognostic markers.
- To emphasize the need for improved, standardized, and predictive imaging parameters.
Main Methods:
- Review of current literature on prenatal imaging for CDH.
- Evaluation of established parameters like observed-to-expected lung-to-head ratio and total fetal lung volume.
- Discussion of limitations including inability to predict associated complications and inter-center variability.
Main Results:
- Prenatal imaging parameters like lung-to-head ratio are primary predictors of neonatal outcome.
- Current markers do not predict critical complications such as persistent pulmonary hypertension of neonates or cardiac dysfunction.
- Proposed new imaging parameters lack sufficient validation and standardization for widespread clinical use.
Conclusions:
- Improved understanding of CDH pathophysiology is needed.
- Development of standardized, reproducible, and predictive imaging markers is essential.
- Refined prognostic tools will optimize fetal therapy selection and improve neonatal outcomes.
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