Preoperative CT image-based assessment for estimating risk of ovarian torsion in women with ovarian lesions and pelvic pain
| Autor: | Nam Hun Heo, Ji Eun Lee, Seung Soo Kim, Hyeong Cheol Shin, Jeong Ah Hwang, Sunyoung Lee, Seo-Youn Choi |
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| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Torsion Abnormality endocrine system diseases Ovarian Torsion Urology Pelvic Pain 030218 nuclear medicine & medical imaging Lesion 03 medical and health sciences 0302 clinical medicine Internal medicine medicine Humans Radiology Nuclear Medicine and imaging Retrospective Studies Ovarian Neoplasms Radiological and Ultrasound Technology business.industry Pelvic pain Gastroenterology Ovarian torsion Retrospective cohort study Odds ratio Nomogram Hepatology medicine.disease female genital diseases and pregnancy complications body regions Ovarian Cysts 030220 oncology & carcinogenesis Adnexal Diseases Female Radiology medicine.symptom business Tomography X-Ray Computed |
| Zdroj: | Abdominal radiology (New York). 46(3) |
| ISSN: | 2366-0058 |
| Popis: | To define and weight the preoperative CT findings for ovarian torsion and to develop an integrated nomogram for estimating the probability of ovarian torsion in women with ovarian lesion and pelvic pain. This retrospective study included 218 women with surgically resected ovarian lesions who underwent preoperative contrast-enhanced CT for pelvic pain from January 2014 to February 2019. Significant imaging findings for torsion were extracted using regression analyses and a regression coefficient-based nomogram was constructed. The diagnostic performance with sensitivity, specificity, and accuracy of the significant imaging findings and the nomogram were assessed. A total of 255 ovarian lesions (123 lesions with torsion and 132 lesions without torsion) were evaluated. Multivariable regression analysis showed that whirl sign (odds ratio [OR] 11.000; p |
| Databáze: | OpenAIRE |
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