Literature DB >> 10221729

Three-dimensional ultrasonographic evaluation of ovarian tumours: a preliminary study.

T Hata1, T Yanagihara, K Hayashi, C Yamashiro, Y Ohnishi, M Akiyama, A Manabe, K Miyazaki.   

Abstract

Our objective was to determine the accuracy of three dimensional (3D) ultrasonography in the differentiation of ovarian tumours. Women (n = 20) with ovarian tumours (13 benign and seven malignant) were first examined using two-dimensional (2D) ultrasonography and were then evaluated with three-dimensional (3D) ultrasonography. All patients underwent surgery within 7 days of 2D and 3D ultrasonographic evaluations, and a histopathological diagnosis was made. A 2D ultrasonographic diagnosis of malignancy was done using an established scoring system. Diagnostic criteria for ovarian malignancy by 3D ultrasonography were: irregular thick septa, irregular papillary projection, mostly solid tumour, high echogenicity, and irregular inner wall. Compared with 2D ultrasound, 3D ultrasound had a significantly higher specificity (P < 0.005) and accuracy (P < 0.01), and a significantly lower false positive rate (P < 0.005). Our results suggest that 3D ultrasonography might be a better means of differentiating between malignant and benign ovarian tumours. However, in view of the small number of ovarian tumours, these observations must be considered preliminary.

Entities:  

Mesh:

Year:  1999        PMID: 10221729     DOI: 10.1093/humrep/14.3.858

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  3 in total

1.  HDlive rendering image of adnexal tumors: preliminary report.

Authors:  Toshiyuki Hata; Kenji Kanenishi; Masato Mashima; Emiko Nitta; Nobuhiro Mori; Uiko Hanaoka; Hirokazu Tanaka
Journal:  J Med Ultrason (2001)       Date:  2013-08-31       Impact factor: 1.314

2.  Ovarian tumor characterization and classification using ultrasound-a new online paradigm.

Authors:  U Rajendra Acharya; S Vinitha Sree; Luca Saba; Filippo Molinari; Stefano Guerriero; Jasjit S Suri
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

3.  GyneScan: an improved online paradigm for screening of ovarian cancer via tissue characterization.

Authors:  U Rajendra Acharya; S Vinitha Sree; Sanjeev Kulshreshtha; Filippo Molinari; Joel En Wei Koh; Luca Saba; Jasjit S Suri
Journal:  Technol Cancer Res Treat       Date:  2013-12-06
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.