Logistic regression analysis of combining transvaginal conventional ultrasonography and 3D power Doppler ultrasonography(3D-PDUS) in differential diagnosis of ovarian tumor
10.3760/cma.j.issn.1004-4477.2018.03.013
- VernacularTitle:Logistic回归评价经阴道常规超声联合三维能量多普勒超声对卵巢肿瘤的鉴别诊断价值
- Author:
Yan WU
1
;
Shan YU
;
Leo Tsz On Lee
;
Xiaoying LI
;
Litao SUN
Author Information
1. 150086,哈尔滨医科大学附属第二医院超声科
- Keywords:
Endosonography;
Three-dimensional power Doppler ultrasonography;
Ovarian neoplasms;
Logistic regression
- From:
Chinese Journal of Ultrasonography
2018;27(3):237-242
- CountryChina
- Language:Chinese
-
Abstract:
Objective To develop a logistic regression model for differential diagnosis of the malignant ovarian tumor by combining transvaginal conventional ultrasonography and 3D power Doppler ultrasound(3D-PDUS) techniques. Methods The transvaginal ultrasonography and 3D-PDUS data were collected from 291 patients with ovarian tumors received clinical pathological diagnosis.According to the pathological resuts,the 291 patients were divided in to benign group(GB) and borderline/malignant group (GM). Univariate and multivariate logistic regression analyses were applied to establish models for predicting malignant tumor. Results ① Within the 291 ovarian tumor patients,175 (60.14% ) were classified as the GB and 116 (39.86% ) were considered as the GM,the number for postmenopausal cases and the serum CA125 level in GB group were significantly lower than those in GM group ( P <0.001); ②The tansvaginal conventional ultrasound analysis suggested that borderline/malignant tumor often presented as larger volume,more irregular shape,and higher incidence in the blood flow within a solid papillary projection and ascites (P< 0.05,compared with GB group);In 3D-PDSU data,the vascularization index (VI) was lower than that in GB group( P <0.001,compared with GM group),but there was no significant difference between GB group and GM group in flow index (FI) and vascularization-flow index (VFI) ( P =0.559,0.454); ③ Multivariate logistic regression analysis showed that postmenopausal status,serum CA125 levels,tumor echo,papillary with blood flow,ascites and 3D-PDUS VI parameters were independent risk factors for the progression of borderline/malignant tumor.The ROC curve showed that the established regression model accuracy was 92.0%,sensitivity was 86.2%,specificity was 95.7%,positive predictive value was 92.6% and negative predictive value was 91.7%. Conclusions Combining multi-model transvaginal conventional ultrasound and 3D-PDUS analyses is a useful non-invasive technique for the differential diagnosis of ovarian tumor.
