Differentiation of borderline tumors from type I ovarian epithelial cancers on CT and MR imaging
- PDF / 1,770,688 Bytes
- 9 Pages / 595.276 x 790.866 pts Page_size
- 86 Downloads / 209 Views
PELVIS
Differentiation of borderline tumors from type I ovarian epithelial cancers on CT and MR imaging Sihua Yang1 · Huan Tang2 · Fuxia Xiao1 · Jingqi Zhu1 · Ting Hua1 · Guangyu Tang1
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Purpose To investigate the value of CT and MR imaging features in differentiating borderline ovarian tumor (BOT) from type I ovarian epithelial cancer (OEC), which could be significant for suitable clinical treatment and assessment of the prognosis of the patient. Methods Thirty-three patients with BOTs and 35 patients with type I OECs proven by pathology were retrospectively evaluated. The clinico-pathological information (age, premenopausal status, CA-125, and Ki-67) and imaging characteristics were compared between two groups of ovarian tumors. The diagnostic performance of the imaging features was evaluated using receiver operating characteristic analysis. The best predictor variables for type I EOCs were recognized via multivariate analyses. Results BOTs are more likely to involve younger patients and frequently show lower CA-125 values and lower proliferation indices (Ki-67 < 15%) than type I OECs. Compared with type I OECs, BOTs were more often purely cystic (15/33, 45.45% vs. 1/35, 2.86%; p < 0.001) and displayed less frequent mural nodules (16/33, 48.48% vs. 28/35, 80.00%; p = 0.007), less frequently unclear margin (3/33, 9.09% vs. 11/35, 31.43%; p = 0.023), smaller solid portion (0.56 ± 2.66 vs. 4.51 ± 3.88; p < 0.001), and thinner walls (0.3 ± 0.17 vs. 0.55 ± 0.24; p < 0.001). The maximum wall thickness presented the largest area under the curve (AUC, 0.848). Multivariate analysis revealed that the solid portion size (OR 10.822, p = 0.002) and maximum wall thickness (OR 9.130, p = 0.001) were independent indicators for the differential diagnosis between the two groups of lesions. Conclusion The solid portion size and maximum wall thickness significantly influenced the classification of the two groups of ovarian tumors. Keywords Ovarian epithelial cancer · Magnetic resonance imaging · ROC analysis · Multivariate analyses
Introduction Borderline ovarian tumor (BOT) is a distinctive category of tumor recognized by the World Health Organization and the International Federation of Obstetricians and Gynecologists Sihua Yang and Huan Tang contributed equally to this study and should be considered co-first authors. * Guangyu Tang [email protected] 1
Department of Radiology, Shanghai Tenth People’s Hospital of Tongji University, School of Medicine, Shanghai 200072, China
Department of Radiology, Huadong Hospital of Fudan University, Shanghai 200040, China
2
in the early 1970s [1]. BOT histologically presents mild nuclear atypia and cellular proliferation but lacks stromal invasion and biologically behaves as that between malignant and benign tumor [2]. Histopathologically, type I ovarian epithelial cancers (OECs) comprise low-grade serous, low-grade endometrioid, clear cell, mucinous, and malignant Brenner tumor, accounting for approx
Data Loading...
