Literature DB >> 23934242

Prospective evaluation of 3T MRI findings for primary adnexal lesions and comparison with the final histological diagnosis.

He Zhang1, Guo-Fu Zhang, Zhi-Yan He, Zheng-Yu Li, Gui-Xiang Zhang.   

Abstract

PURPOSE: We prospectively investigated the diagnostic accuracy of magnetic resonance imaging (MRI) at 3.0 Tesla (3T) for the detection of suspected primary adnexal masses in a large cohort of patients.
METHODS: This prospective clinical study included 223 patients with suspected gynaecological disease who were referred for 3T MRI assessments before laparoscopy or laparotomy. Fifty-nine patients were excluded. All detected adnexal pathologies on MRI were categorized into the four groups (endometric cysts, teratomas, benign tumours and malignant tumours). Histological findings were used as the comparative reference standard. As measures to detect or rule out primary adnexal masses, accuracy, sensitivity, specificity, positive predictive values (PPV) and negative predictive values (NPV) were determined by lesion-based evaluations.
RESULTS: The reference standard method detected 141 primary adnexal lesions in 125 patients. The areas under the receiver operating characteristic curve of the lesion-based evaluations for endometric cysts, teratomas, benign lesions and malignant lesions were 92.8, 93.6, 95.1 and 94.4 %. Lesion-based evaluation yielded an accuracy of 90.3 %, sensitivity of 92.7 %, specificity of 89.3 %, PPV of 77.6 % and NPV of 96.8 % in differentiating malignancies from non-malignant lesions. The diagnostic value of 3T MRI for detecting malignancies was superior to that for benign tumours.
CONCLUSIONS: 3T MRI well categorize the characteristics of primary adnexal lesions and may be a reliable modality for distinguishing malignancies from benign tumours.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23934242     DOI: 10.1007/s00404-013-2990-x

Source DB:  PubMed          Journal:  Arch Gynecol Obstet        ISSN: 0932-0067            Impact factor:   2.344


  13 in total

1.  Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study.

Authors:  He Zhang; Yunfei Mao; Xiaojun Chen; Guoqing Wu; Xuefen Liu; Peng Zhang; Yu Bai; Pengcong Lu; Weigen Yao; Yuanyuan Wang; Jinhua Yu; Guofu Zhang
Journal:  Eur Radiol       Date:  2019-04-08       Impact factor: 5.315

2.  MRI for discriminating metastatic ovarian tumors from primary epithelial ovarian cancers.

Authors:  Yanhong Xu; Jia Yang; Zaixian Zhang; Guixiang Zhang
Journal:  J Ovarian Res       Date:  2015-08-28       Impact factor: 4.234

3.  The Value of Diffusion-Weighted Imaging in the Differential Diagnosis of Ovarian Lesions: A Meta-Analysis.

Authors:  Hyun-Jung Kim; So-Yeon Lee; Yu Ri Shin; Chang Suk Park; Kijun Kim
Journal:  PLoS One       Date:  2016-02-23       Impact factor: 3.240

4.  Intravoxel incoherent motion diffusion-weighted imaging in differentiating uterine fibroid from focal adenomyosis: initial results.

Authors:  Tao Tian; Guo-Fu Zhang; He Zhang; Hui Liu
Journal:  Springerplus       Date:  2016-01-04

Review 5.  Diagnostic accuracy of DWI in patients with ovarian cancer: A meta-analysis.

Authors:  Xia Yuan; Linghong Guo; Wei Du; Fei Mo; Ming Liu
Journal:  Medicine (Baltimore)       Date:  2017-05       Impact factor: 1.889

6.  MR findings of primary ovarian granulosa cell tumor with focus on the differentiation with other ovarian sex cord-stromal tumors.

Authors:  He Zhang; Hongyu Zhang; Shouxin Gu; Yanyu Zhang; Xuefen Liu; Guofu Zhang
Journal:  J Ovarian Res       Date:  2018-06-05       Impact factor: 4.234

7.  Comparison of dynamic contrast-enhanced magnetic resonance imaging with T2-weighted imaging for preoperative staging of early endometrial carcinoma.

Authors:  Linfeng Zheng; Sujuan Zheng; Xiaochun Yuan; Xifu Wang; Zhuoli Zhang; Guixiang Zhang
Journal:  Onco Targets Ther       Date:  2015-07-17       Impact factor: 4.147

Review 8.  Non-neoplastic diseases of the fallopian tube: MR imaging with emphasis on diffusion-weighted imaging.

Authors:  Pietro Valerio Foti; Noemi Ognibene; Saveria Spadola; Rosario Caltabiano; Renato Farina; Stefano Palmucci; Pietro Milone; Giovanni Carlo Ettorre
Journal:  Insights Imaging       Date:  2016-03-18

9.  Folic acid-targeted iron oxide nanoparticles as contrast agents for magnetic resonance imaging of human ovarian cancer.

Authors:  He Zhang; Jingchao Li; Yong Hu; Mingwu Shen; Xiangyang Shi; Guofu Zhang
Journal:  J Ovarian Res       Date:  2016-03-29       Impact factor: 4.234

10.  MR imaging of ovarian masses: classification and differential diagnosis.

Authors:  Pietro Valerio Foti; Giancarlo Attinà; Saveria Spadola; Rosario Caltabiano; Renato Farina; Stefano Palmucci; Giuseppe Zarbo; Rosario Zarbo; Maria D'Arrigo; Pietro Milone; Giovanni Carlo Ettorre
Journal:  Insights Imaging       Date:  2015-12-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.