Department of Radiology, Hanyang University College of Medicine, Seoul, Republic of Korea.
Division of Gynecology and Gynecologic Minimally Invasive Surgery, Department of Obstetrics and Gynecology, Hanyang University College of Medicine, 222 Wangsimni-ro Seongdong-gu, Seoul, 04763, Republic of Korea.
Sci Rep. 2023 Jan 19;13(1):1085. doi: 10.1038/s41598-023-27771-5.
Delayed diagnosis of female genital tuberculosis (FGTB) can lead to inappropriate treatment and unnecessary surgical procedures rather than standard anti-TB medication. We tried to evaluate the use of computed tomography (CT) imaging to differentiate TB peritonitis from peritoneal carcinomatosis of advanced epithelial ovarian cancer (AEOC). We investigated women who underwent CT to distinguish between TB peritonitis and peritoneal carcinomatosis of AEOC. We evaluated various CT imaging features to identify differences between the two diseases. In addition, we performed univariate and multivariate logistic regression analyses to identify the independent imaging parameters associated with TB peritonitis and evaluated the diagnostic performance of the combined imaging parameters. We also performed the histopathological analysis of the available salpinx specimens of TB peritonitis. We included 25 women with TB peritonitis and 34 women with peritoneal carcinomatosis of AEOC. A multivariate analysis of the discriminant CT imaging features between the two diseases revealed that changes in fallopian tubes and peritoneal micronodules were independent parameters associated with TB peritonitis (p ≤ 0.012). Combining the two imaging parameters showed an area under the receiver operating characteristic curve of 0.855, a sensitivity of 88.0%, and a specificity of 67.7% for differentiating TB peritonitis from peritoneal carcinomatosis. Furthermore, changes in fallopian tubes were correlated with histopathological abnormalities in salpinx specimens. Pretreatment CT evaluation with useful imaging features could help differentiate TB peritonitis from peritoneal carcinomatosis of AEOC.
女性生殖器结核(FGTB)的诊断延迟可能导致不适当的治疗和不必要的手术,而不是标准的抗结核药物治疗。我们试图评估计算机断层扫描(CT)成像在鉴别结核性腹膜炎与晚期上皮性卵巢癌(AEOC)腹膜癌病中的作用。我们调查了接受 CT 检查以区分结核性腹膜炎与 AEOC 腹膜癌病的女性。我们评估了各种 CT 成像特征,以确定这两种疾病之间的差异。此外,我们进行了单变量和多变量逻辑回归分析,以确定与结核性腹膜炎相关的独立影像学参数,并评估了联合影像学参数的诊断性能。我们还对结核性腹膜炎的现有输卵管组织标本进行了组织病理学分析。我们纳入了 25 例结核性腹膜炎患者和 34 例 AEOC 腹膜癌病患者。两种疾病之间鉴别 CT 成像特征的多变量分析显示,输卵管改变和腹膜微结节是与结核性腹膜炎相关的独立参数(p≤0.012)。结合这两个影像学参数,区分结核性腹膜炎与 AEOC 腹膜癌病的受试者工作特征曲线下面积为 0.855,敏感性为 88.0%,特异性为 67.7%。此外,输卵管的改变与输卵管组织标本的组织病理学异常相关。术前 CT 评估具有有用的影像学特征,有助于区分结核性腹膜炎与 AEOC 腹膜癌病。