Assessment of Facial Morphologic Features in Patients With Congenital Adrenal Hyperplasia Using Deep Learning.

ABSTRACT:

Importance

Congenital adrenal hyperplasia (CAH) is the most common primary adrenal insufficiency in children, involving excess androgens secondary to disrupted steroidogenesis as early as the seventh gestational week of life. Although structural brain abnormalities are seen in CAH, little is known about facial morphology.

Objective

To investigate differences in facial morphologic features between patients with CAH and control individuals with use of machine learning.

Design, setting, and participants

This cross-sectional study was performed at a pediatric tertiary center in Southern California, from November 2017 to December 2019. Patients younger than 30 years with a biochemical diagnosis of classical CAH due to 21-hydroxylase deficiency and otherwise healthy control

SUBMITTER: AbdAlmageed W 

PROVIDER: S-EPMC7675110 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature