Diagnostic performance of MR imaging for the diagnosis of pelvic endometriosis are good. Even if some differences of performances exists according the location considered, the risk of misdiagnosis is lower than 10% for trained teams (NP2). The performance of pelvic MR imaging and surgery are quite similar to diagnose endometrioma (sensitivity and specificity>90%). A negative pelvic MR imaging allows to exclude deep pelvic endometriosis with a performance similar to surgery but a positive MR imaging is less accurate than surgery because of a high number of false positives (23%). Pelvic MR imaging is more sensitive and less specific than ultrasonography for the diagnosis of uterosacral ligament, vagina or recto vaginal septum (NP2). Pelvic ultrasonography is more sensitive than pelvic MR imaging for the diagnosis of colorectal location (NP3). Pelvic MR imaging is a reproducible technique for the diagnosis of pelvic endometriosis (NP3). Regarding, quality criteria of pelvic MR imaging, no data are enough to recommend a specific MR unit, digestive preparation, or a specific moment during the menstrual cycle to realize the examination. Vaginal and/or rectal opacification are options. Most of studies are based a protocol including 3D T2W and 3DT1W sequences. Gadolinium injection is useful to characterize a complex adnexal mass. In clinical routine, slices crossing the kidneys are useful to evaluate the presence of pyelo calic distension. ColoCT is an accurate technique to diagnose pelvic digestive endometriosis (rectosigmoide and iléocaecal) (NP3).
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http://dx.doi.org/10.1016/j.gofs.2018.02.023 | DOI Listing |
Surg Radiol Anat
January 2025
Department of Anatomy, Jagiellonian University Medical College, Mikołaja Kopernika 12, Kraków, 33-332, Poland.
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January 2025
Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06511, USA.
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View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Radiology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.
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Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
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View Article and Find Full Text PDFDeep venous thrombosis (DVT) has insidious clinical symptoms, and only a few patients suffer from lower limb swelling, tenderness and dorsal flexion pain. We aimed to explore the ultrasonographic features and risk factors of postoperative lower limb DVT in patients with lower limb fractures. Ninety patients with lower limb fractures admitted from January 1st, 2021 to June 30th, 2023 were selected.
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