Literature DB >> 29904926

Comparison of endometrial assessment by transvaginal ultrasonography and hysteroscopy.

Daniela A Yela1, Patricia H Pini1, Cristina L Benetti-Pinto1.   

Abstract

OBJECTIVE: To compare transvaginal ultrasonography and hysteroscopy for the diagnosis of endometrial pathologies.
METHODS: In the present retrospective cohort study, data were reviewed from women with ultrasonography findings suggestive of endometrial lesions and/or abnormal uterine bleeding who underwent hysteroscopy at a single center in Campinas, Brazil, between January 2011 and December 2013; data were stratified based on reproductive-aged and postmenopausal groups. The accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ultrasonography and hysteroscopy for the diagnosis of endometrial lesions were determined. Histopathology was used as the gold standard.
RESULTS: There were 754 patients included (256 reproductive age, 498 postmenopausal). In the reproductive-age group, ultrasonography had a sensitivity of 96.0%, specificity of 58.0%, PPV of 94.4%, NPV of 66.6%, and accuracy of 91.5%, whereas hysteroscopy had a sensitivity of 91.8%, specificity of 76.6%, PPV of 96.0%, NPV of 60.5%, and accuracy of 89.7% for the diagnosis of endometrial disease. In the postmenopausal group, ultrasonography had a sensitivity of 99.0%, specificity of 19.0%, PPV of 96.1%, NPV of 50.0%, and accuracy of 95.3%, whereas hysteroscopy had a sensitivity of 96.7%, specificity of 86.9%, PPV of 99.2%, NPV of 58.8%, and accuracy of 96.2%.
CONCLUSION: Ultrasonography was found to be an effective method for the diagnosis of endometrial disease, especially among postmenopausal women.
© 2018 International Federation of Gynecology and Obstetrics.

Entities:  

Keywords:  Abnormal uterine bleeding; Endometrial pathologies; Hysteroscopy; Postmenopausal bleeding; Ultrasonography

Mesh:

Year:  2018        PMID: 29904926     DOI: 10.1002/ijgo.12567

Source DB:  PubMed          Journal:  Int J Gynaecol Obstet        ISSN: 0020-7292            Impact factor:   3.561


  3 in total

1.  Deep learning model for classifying endometrial lesions.

Authors:  YunZheng Zhang; ZiHao Wang; Jin Zhang; CuiCui Wang; YuShan Wang; Hao Chen; LuHe Shan; JiaNing Huo; JiaHui Gu; Xiaoxin Ma
Journal:  J Transl Med       Date:  2021-01-06       Impact factor: 5.531

2.  Whole-lesion apparent diffusion coefficient (ADC) histogram as a quantitative biomarker to preoperatively differentiate stage IA endometrial carcinoma from benign endometrial lesions.

Authors:  Jieying Zhang; Xiaoduo Yu; Xiaomiao Zhang; Shuang Chen; Yan Song; Lizhi Xie; Yan Chen; Han Ouyang
Journal:  BMC Med Imaging       Date:  2022-08-08       Impact factor: 2.795

3.  A Powerful Value of Hysteroscopy.

Authors:  Peng-Hui Wang
Journal:  Gynecol Minim Invasive Ther       Date:  2018-09-26
  3 in total

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