dc.contributor.author | Cunha, Teresa Margarida | |
dc.contributor.author | Horta, Mariana | |
dc.date.accessioned | 2017-04-04T14:09:34Z | |
dc.date.available | 2017-04-04T14:09:34Z | |
dc.date.issued | 2017 | |
dc.date.updated | 2017-03-19T15:18:33Z | |
dc.description.abstract | Pelvic MR imaging allows to avoid most of the mistakes in the assessment of ovarian masses made using transvaginal ultrasonography or CT scan. However, even using pelvic MR imaging, there are some pathologies that may mimic primitive ovarian cancer including pelvic inflammatory disease, uterine myoma, digestive tumour or ovarian metastases. Preoperative diagnosis of these pathologies is crucial because the therapeutic strategy is completely different and the absence of a diagnosis may impact the prognosis. Thus, this lecture will present three clinical situations where the radiologist needs to accurately analyse MR images to not misdiagnose a wide variety of pelvic pathologies as ovarian cancer. Learning Objectives: 1. To become familiar with benign masses mimicking ovarian cancer. 2. To demonstrate benign and malignant diseases mimicking peritoneal carcinomatosis. 3. To learn about imaging strategies for avoiding these pitfalls. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier | 1869-4101 | en_US |
dc.identifier.citation | Teresa Margarida Cunha; Mariana Horta. Mistakes in Assessment of Endometrial Cancer, Trabalho apresentado em ECR 2017 – European Congress of Radiology, In Insights Imaging, Austria, 2017. | pt_PT |
dc.identifier.doi | 10.1007/s13244-017-0546-5 | pt_PT |
dc.identifier.issn | 1869-4101 | |
dc.identifier.uri | http://hdl.handle.net/10400.26/18159 | |
dc.language.iso | eng | pt_PT |
dc.publisher | Springer Berlin Heidelberg | pt_PT |
dc.title | Mistakes in assessment of endometrial cancer | pt_PT |
dc.type | book part | |
dspace.entity.type | Publication | |
oaire.citation.title | Insights into Imaging | pt_PT |
oaire.citation.volume | 8 | pt_PT |
rcaap.rights | openAccess | pt_PT |
rcaap.type | bookPart | pt_PT |
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