Value of pelvic ultrasound combined with pituitary MRI in diagnosis of central precocious puberty in girls

Y.-E. Chen, X.-L. Gu, L.-L. Shen, M. Xu

Department Ultrasonography, Nantong First People’s Hospital, Jiangsu, China. gxiaolin258@163.com

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• Pediatrics
• Ultrasound

OBJECTIVE: This study aimed to investigate the value of pelvic ultrasound combined with pituitary magnetic resonance imaging (MRI) based on an artificial intelligence algorithm in the diagnosis of girls with central precocious puberty (CPP), providing reference for the prevention and control of CPP in girls.

PATIENTS AND METHODS: 75 girls with CPP and 75 normal girls in Nantong First People’s Hospital were studied. Pelvic ultrasound parameters were compared between the two groups based on an artificial intelligence algorithm. Pituitary MRI parameters were analyzed, and pituitary function parameters were explored.

RESULTS: The results showed that the diagnostic sensitivity, specificity, and accuracy of the convolutional neural network (CNN) algorithm were 72.3%, 74.6%, and 78.3%, respectively. The sensitivity, specificity, and accuracy of CNN algorithm were significantly higher (p<0.05). The long diameter, anteroposterior diameter, and transverse diameter of the uterus in the precocious puberty (PP) group were significantly larger than those in the normal group (NG). The ovarian long diameter, ovarian anteroposterior diameter, and ovarian transverse diameter in PP group were significantly larger than those in NG. Uterine volume and ovarian volume in PP group were clearly higher than those in NG. The largest follicle diameter was clearly larger in PP patients than in NG patients. The coronal height, coronal width, sagittal height, and sagittal anteroposterior diameter of PP group were clearly higher than those of NG (p<0.05). The sagittal cross-sectional area of pituitary MRI morphology in PP group was significantly greater than that in NG. The pituitary MRI morphology pituitary volume was 272.68 mm in PP group and 191.37 mm in NG, and the pituitary volume was clearly larger in PP group than in NG. The pituitary function parameters estradiol (E2), luteinizing hormone (LH) peak, follicle-stimulating hormone (FSH) peak, and LH peak/FSH peak were greater in PP group than in NG.

CONCLUSIONS: In summary, the uterine size and ovarian size of girls and the pituitary function index in PP group were larger. Pelvic ultrasound and pituitary MRI indexes can better diagnose CPP and can be widely used in clinical practice with positive diagnostic value.

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