Keywords: Normal Development, Pediatric, Diagnosis; Precocious puberty.
Motivation: Gonadotropin-releasing hormone (GnRH) stimulation test is time- and labor- consuming. A prediction model composed of MRI-derived variables for precocious puberty is useful for diagnosis.
Goal(s): This study aimed to evaluate the diagnostic value of adenohypophyseal MRI features for precocious puberty in girls.
Approach: Pearson correlation and stepwise multivariate linear regression analysis were used to examine the best association of MRI features and clinical data for 126 girls and build prediction models.
Results: Two Models were built to predict LH and LH/FSH. ROC analysis showed the predicted LH, predicted LH/FSH, and aPV were the top 3 best predictors in distinguishing CPP group from controls.
Impact: The adenohypophysis volume itself and the prediction models including main adenohypophyseal MRI features increased diagnosis efficiency for PP and offered a non-invasive and credible diagnostic method.
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