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dc.creatorGuerriero, S. (Stefano)-
dc.creatorAjossa, S. (Silvia)-
dc.creatorPagliuca, M. (Mariachiara)-
dc.creatorBorzacchelli, A. (Antonietta)-
dc.creatorDeiala, F. (Fabio)-
dc.creatorSpringer, S. (Serena)-
dc.creatorPilloni, M. (Monica)-
dc.creatorTaccori, V. (Valeria)-
dc.creatorPascual, M.A. (Maria Angela)-
dc.creatorGraupera, B. (Betlem)-
dc.creatorSaba, L. (Luca)-
dc.creatorAlcazar, J.L. (Juan Luis)-
dc.date.accessioned2023-04-18T11:59:14Z-
dc.date.available2023-04-18T11:59:14Z-
dc.date.issued2022-
dc.identifier.citationGuerriero, S.; Ajossa, S.; Pagliuca, M.; et al. "Advances in imaging for assessing pelvic endometriosis". Diagnostics. 12 (12), 2022, 2960es
dc.identifier.issn2075-4418-
dc.identifier.urihttps://hdl.handle.net/10171/65992-
dc.description.abstractIn recent years, due to the development of standardized diagnostic protocols associated with an improvement in the associated technology, the diagnosis of pelvic endometriosis using imaging is becoming a reality. In particular, transvaginal ultrasound and magnetic resonance are today the two imaging techniques that can accurately identify the majority of the phenotypes of endometriosis. This review focuses not only on these most common imaging modalities but also on some additional radiological techniques that were proposed for rectosigmoid colon endometriosis, such as double-contrast barium enema, rectal endoscopic ultrasonography, multidetector computed tomography enema, computed tomography colonography and positron emission tomography-computed tomography with 16 alpha-[18F]fluoro-17 beta-estradiol.-
dc.description.sponsorshipThe project was partially funded by Fondazione di Sardegna (F74I19001010007).-
dc.language.isoen-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.subjectEndometriosis-
dc.subjectTransvaginal ultrasound-
dc.subjectMagnetic resonance imaging-
dc.titleAdvances in imaging for assessing pelvic endometriosis-
dc.typeinfo:eu-repo/semantics/review-
dc.description.noteThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license-
dc.identifier.doi10.3390/diagnostics12122960-
dadun.citation.number12-
dadun.citation.publicationNameDiagnostics-
dadun.citation.startingPage2960-
dadun.citation.volume12-

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