Literature DB >> 21265646

The diagnosis of ovarian cancer: is color Doppler imaging reproducible and accurate in examiners with different degrees of experience?

Stefano Guerriero1, Juan Luis Alcazar, Maria Angela Pascual, Silvia Ajossa, Betlem Graupera, Lourdes Hereter, Gian Benedetto Melis.   

Abstract

OBJECTIVE: To evaluate the reproducibility and accuracy of color Doppler flow location in indeterminate masses after a gray-scale sonography in the diagnosis of ovarian malignancy.
METHODS: Digitally stored color Doppler sonographic images from a random sample of 130 women with an indeterminate adnexal mass submitted to surgery were evaluated by six different examiners with different degrees of experience. A mass was graded malignant if flow was shown within the excrescences or solid areas. Intraobserver agreement and interobserver agreement according to the level of experience were assessed by calculating the kappa index.
RESULTS: Intraobserver agreement was good for all examiners with different degrees of experience (kappa 0.72-0.89). Interobserver agreement was good to moderate for all operators (kappa 0.48-0.71) irrespective of degree of experience. The accuracy was comparable among different operators.
CONCLUSIONS: Our results indicate that color Doppler imaging for detection of adnexal malignancy seems to be a reproducible method even in moderately experienced examiners.

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Year:  2011        PMID: 21265646     DOI: 10.1089/jwh.2010.2277

Source DB:  PubMed          Journal:  J Womens Health (Larchmt)        ISSN: 1540-9996            Impact factor:   2.681


  2 in total

1.  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

2.  Diagnostic Accuracy of the ADNEX Model for Ovarian Cancer at the 15% Cut-Off Value: A Systematic Review and Meta-Analysis.

Authors:  Xiaotong Huang; Ziwei Wang; Meiqin Zhang; Hong Luo
Journal:  Front Oncol       Date:  2021-06-17       Impact factor: 6.244

  2 in total

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