Database Ultrasound elastography for the diagnosis of endometriosis and adenomyosis a systematic review with meta-analysis.docx

Brunelli, Ana Claudia
2022 · doi:10.25824/redu/jspmp0 · W6964561502
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This systematic review and meta-analysis evaluated the diagnostic performance of ultrasound elastography for detecting endometriosis and adenomyosis.

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This systematic review and meta-analysis evaluates the diagnostic accuracy of ultrasound elastography for identifying endometriosis and adenomyosis. The study aggregates data from multiple primary research articles to determine the sensitivity, specificity, and overall performance of elastographic techniques in clinical settings. Results indicate that ultrasound elastography offers significant potential as a non-invasive diagnostic tool, with varying degrees of accuracy depending on the specific type of lesion being assessed. This paper is centrally about endometriosis and adenomyosis — specifically assessing the diagnostic utility of ultrasound elastography for these conditions.

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Database Ultrasound elastography for the diagnosis of endometriosis and adenomyosis a systematic review with meta-analysis.docx This file is part of "Data supporting: ultrasound elastography for the diagnosis of endometriosis and adenomyosis: a systematic review with meta-analysis". Version 2.0 File Citation Cite Data File Dataset Citation Cite Dataset Brunelli, Ana Claudia, 2022, "Database Ultrasound elastography for the diagnosis of endometriosis and adenomyosis a systematic review with meta-analysis.docx", Data supporting: ultrasound elastography for the diagnosis of endometriosis and adenomyosis: a systematic review with meta-analysis, https://doi.org/10.25824/redu/JSPMP0, Repositório de Dados de Pesquisa da Unicamp , V2 Learn about Data Citation Standards. Brunelli, Ana Claudia, 2022, "Data supporting: ultrasound elastography for the diagnosis of endometriosis and adenomyosis: a systematic review with meta-analysis", https://doi.org/10.25824/redu/WMI7TX, Repositório de Dados de Pesquisa da Unicamp , V2 Learn about Data Citation Standards. File Metrics 32 Downloads

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endometriosisadenomyosis

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