Literature DB >> 21228561

Role of pelvic ultrasound in girls with precocious puberty.

L de Vries1, M Phillip.   

Abstract

Pelvic ultrasound evaluation of girls presenting with secondary sex characteristics before the age of 8 years may help to differentiate precocious puberty from premature thelarche, functioning ovarian cyst, and obesity. However, although uterine and ovarian measurements are significantly higher in girls with true precocious puberty than controls, there is a significant overlap of normal prepubertal and early pubertal values. In girls with precocious puberty treated with gonadotropin-releasing hormone analogue, ultrasound is a valid tool for monitoring ovarian suppression.
Copyright © 2011 S. Karger AG, Basel.

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Year:  2011        PMID: 21228561     DOI: 10.1159/000323361

Source DB:  PubMed          Journal:  Horm Res Paediatr        ISSN: 1663-2818            Impact factor:   2.852


  6 in total

Review 1.  Diagnosis and management of precocious sexual maturation: an updated review.

Authors:  Amanda Veiga Cheuiche; Leticia Guimarães da Silveira; Leila Cristina Pedroso de Paula; Iara Regina Siqueira Lucena; Sandra Pinho Silveiro
Journal:  Eur J Pediatr       Date:  2021-03-21       Impact factor: 3.183

2.  Adequacy of basal luteinizing hormone levels in the diagnosis of central precocious puberty.

Authors:  Doğuş Vurallı; E Nazlı Gönç; Z Alev Özön; Ayfer Alikaşifoğlu
Journal:  Turk Pediatri Ars       Date:  2020-06-19

3.  Central Precocious Puberty in a Child With Metachromatic Leukodystrophy.

Authors:  Gilda Belli; Emanuele Bartolini; Andrea Bianchi; Mario Mascalchi; Stefano Stagi
Journal:  Front Endocrinol (Lausanne)       Date:  2018-08-24       Impact factor: 5.555

4.  The role of pelvic ultrasound for the diagnosis and management of central precocious puberty: An update.

Authors:  Valentina Talarico; Maria Benedetta Rodio; Antonio Viscomi; Eulalia Galea; Maria Concetta Galati; Giuseppe Raiola
Journal:  Acta Biomed       Date:  2021-11-04

5.  Usefulness of pelvic ultrasonography for the diagnosis of central precocious puberty in girls.

Authors:  Jung Yu; Ha Young Shin; Sun Hee Lee; You Sung Kim; Jae Hyun Kim
Journal:  Korean J Pediatr       Date:  2015-08-21

6.  Machine learning identifies girls with central precocious puberty based on multisource data.

Authors:  Liyan Pan; Guangjian Liu; Xiaojian Mao; Huiying Liang
Journal:  JAMIA Open       Date:  2020-12-05
  6 in total

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