Preoperative diagnosis of ovarian tumors using Logistic model
10.3760/cma.j.issn.1004-4477.2009.07.016
- VernacularTitle:Logistic回归模型在卵巢肿瘤良恶性鉴别诊断中的应用
- Author:
Li CHENG
;
Cai CHANG
;
Yinghua WANG
;
Yuqing ZHOU
;
Yunyun REN
- Publication Type:Journal Article
- Keywords:
Ultrasonography;
Ovarian neoplasms;
Diagnosis,differential;
Logistic model
- From:
Chinese Journal of Ultrasonography
2009;18(7):595-597
- CountryChina
- Language:Chinese
-
Abstract:
Objective To assess the diagnostic value of Logistic model in differentiating between malignant and benign ovarian lesions. Methods Thirty-five indexes of clinical and ultrasound data were recorded in 601 ovarian lesions confirmed by surgical pathology. The Logistic model was developed on a training set( n - 400) and tested on a test set( n = 201). Results Variable selection resulted in a set of 10 variables for the models: personal history of ovarian cancer, maximal diameter of the lesion, maximal diameter of the solid component, multilocular-solid tumor, solid tumor, ascites, flow within papillation, irregular walls, very strong intratumoral blood flow (i. e. color score 4) and acoustic shadows. Test set area under the receiver-operating characteristics curve was 0.963 with a sensitivity 93.9% and a specificity 93. 1 %. Conclusions Logistic model can accurately separate malignant from benign ovarian masses.
