当前位置: X-MOL 学术Abdom. Radiol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Differentiation of borderline tumors from type I ovarian epithelial cancers on CT and MR imaging.
Abdominal Radiology ( IF 2.3 ) Pub Date : 2020-03-11 , DOI: 10.1007/s00261-020-02467-w
Sihua Yang 1 , Huan Tang 2 , Fuxia Xiao 1 , Jingqi Zhu 1 , Ting Hua 1 , Guangyu Tang 1
Affiliation  

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.



中文翻译:

在 CT 和 MR 成像上区分交界性肿瘤与 I 型卵巢上皮癌。

摘要

目的

探讨 CT 和 MR 影像学特征在鉴别卵巢交界性肿瘤 (BOT) 与 I 型卵巢上皮癌 (OEC) 中的价值,这对于合适的临床治疗和评估患者预后具有重要意义。

方法

回顾性评估了 33 名 BOT 患者和 35 名经病理证实的 I 型 OEC 患者。比较两组卵巢肿瘤的临床病理信息(年龄、绝经前状态、CA-125和Ki-67)和影像学特征。使用接收器操作特征分析评估成像特征的诊断性能。通过多变量分析识别出 I 型 EOC 的最佳预测变量。

结果

BOT 更可能涉及年轻患者,并且与 I 型 OEC 相比,其 CA-125 值和增殖指数 (Ki-67 < 15%) 往往更低。与 I 型 OEC 相比,BOT 更常为纯囊性(15/33, 45.45% vs. 1/35, 2.86%; p < 0.001)并且显示较少的壁结节(16/33, 48.48% vs. 28/35) , 80.00%; p = 0.007), 不太清楚的边缘 (3/33, 9.09% vs. 11/35, 31.43%; p = 0.023), 较小的固体部分 (0.56 ± 2.66 vs. 4.51 ± 3.88; p < 0.0 ) 和更薄的壁 (0.3 ± 0.17 vs. 0.55 ± 0.24; p < 0.001)。最大壁厚呈现最大的曲线下面积(AUC,0.848)。多变量分析显示固体部分大小 (OR 10.822, p= 0.002) 和最大壁厚 (OR 9.130, p = 0.001) 是两组病变之间鉴别诊断的独立指标。

结论

实性部分大小和最大壁厚显着影响两组卵巢肿瘤的分类。

更新日期:2020-03-12
down
wechat
bug