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The use of endovaginal sonography and Doppler ultrasound in the detection of endometrial carcinoma in women presenting with postmenopausal bleeding /

Purpose. To evaluate the role of endovaginal sonography (EVS) and Doppler ultrasound in detecting endometrial carcinoma in women presenting with postmenopausal bleeding. / Materials & methods. We prospectively evaluated 421 women with EVS over a 5-year period. Of these 31 (7.4%) were diagnosed with endometrial carcinoma at histopathology. For each patient, biometric and morphologic parameters, as well as Doppler indices of the endometrium were obtained. / Results. Applying a combination of biometric and morphologic criteria, EVS diagnosed malignancy with a sensitivity of 77% (95% CI: 59%--90%) and a specificity of 84% (80%--87%). Using only biometric criteria (endometrial thickness >2mm indicating malignancy), EVS achieved a sensitivity of 100% (91%--100%) and a specificity of 24% (20%--29%), whereas the corresponding sensitivity and specificity for endometrial thickness >5mm was 74% (55%--88%) and 59% (54%--64%), respectively. The most predictive Doppler index was peak venous velocity (95% CI for odds ratio: 1.08--1.40). / Conclusion. Using a combination of biometric and morphologic sonographic criteria achieves the best accuracy in diagnosing patients with endometrial carcinoma, however at the cost of a decreased sensitivity.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.30731
Date January 1999
CreatorsReinhold, Caroline.
ContributorsJoseph, Lawrence (advisor)
PublisherMcGill University
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Formatapplication/pdf
CoverageMaster of Science (Department of Epidemiology and Biostatistics.)
RightsAll items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.
Relationalephsysno: 001754439, proquestno: MQ64436, Theses scanned by UMI/ProQuest.

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