Literature DB >> 7959280

The efficacy of a sonographic morphology index in identifying ovarian cancer: a multi-institutional investigation.

P D DePriest1, E Varner, J Powell, A Fried, L Puls, R Higgins, D Shenson, R Kryscio, J E Hunter, S J Andrews.   

Abstract

Transvaginal sonography (TVS) has been shown to be the most effective means to screen for ovarian cancer. TVS is associated with a high sensitivity and specificity. However, the positive predictive value associated with TVS in the diagnosis of malignancy is low. A morphologic scoring index for use with TVS has been used at the University of Kentucky since 1991. The current study was performed to more fully evaluate the efficacy and interobserver variation in ultrasonographic morphology index scores attributed to ovarian tumors. Ultrasound records of 213 patients from five participating centers were reviewed by three independent observers. Morphology index scores were assigned to each tumor in a blinded fashion. The morphology index scores were then compared with the final histopathologic findings. One hundred sixty-nine patients had benign tumors and 44 patients had ovarian malignancies. The mean morphology index scores were significantly higher in malignant ovarian tumors (MI 7.3 +/- 1.9) than in benign ovarian tumors (MI 3.3 +/- 1.8). Statistical evaluation of the morphology index scores revealed a sensitivity of 89% and a positive predictive value of 46%. Interobserver variation was lowest in assessing ovarian volume and higher in the evaluation of wall structure and septal structure. A multilogistic regression model was used to evaluate the predictive power of each component of the morphology index. The use of a morphology index is an effective and cost-efficient method of increasing the positive predictive value of TVS screening for ovarian cancer. Use of this index in large numbers of patients will generate data which should help refine appropriate structural scoring categories and reduce interobserver variation.

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Year:  1994        PMID: 7959280     DOI: 10.1006/gyno.1994.1273

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  7 in total

1.  Potential role of HE4 in multimodal screening for epithelial ovarian cancer.

Authors:  Nicole Urban; Jason D Thorpe; Lindsay A Bergan; Robin M Forrest; Archana V Kampani; Nathalie Scholler; Kathy C O'Briant; Garnet L Anderson; Daniel W Cramer; Christine D Berg; Martin W McIntosh; Patricia Hartge; Charles W Drescher
Journal:  J Natl Cancer Inst       Date:  2011-09-14       Impact factor: 13.506

2.  Ovarian cancer screening and early detection in the general population.

Authors:  Jose A Rauh-Hain; Thomas C Krivak; Marcela G Del Carmen; Alexander B Olawaiye
Journal:  Rev Obstet Gynecol       Date:  2011

3.  A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study.

Authors:  Olivier Lucidarme; Jean-Paul Akakpo; Seth Granberg; Mario Sideri; Hanoch Levavi; Achim Schneider; Philippe Autier; Dror Nir; Harry Bleiberg
Journal:  Eur Radiol       Date:  2010-03-20       Impact factor: 5.315

4.  The efficacy of sonographic morphology indexing and serum CA-125 for preoperative differentiation of malignant from benign ovarian tumors in patients after operation with ovarian tumors.

Authors:  Hyo Young Jeoung; Han Song Choi; Yo Sup Lim; Min Young Lee; Soo A Kim; Sei Jun Han; Tae Gyu Ahn; Sang Joon Choi
Journal:  J Gynecol Oncol       Date:  2008-12-29       Impact factor: 4.401

5.  [Ovarian cysts: sonographic score of malignancy].

Authors:  Kaouther Dimassi; Hajeur Bettaieb; Mohammed Derbel; Amel Triki; Mohammed Faouzi Gara
Journal:  Pan Afr Med J       Date:  2014-07-15

Review 6.  Imaging and therapy of ovarian cancer: clinical application of nanoparticles and future perspectives.

Authors:  Giovanni Di Lorenzo; Giuseppe Ricci; Giovanni Maria Severini; Federico Romano; Stefania Biffi
Journal:  Theranostics       Date:  2018-07-30       Impact factor: 11.556

7.  Magnetic Resonance Imaging Findings in Patients with Benign and Malignant Ovarian Masses Versus Pathologic Outcomes.

Authors:  Fariba Behnamfar; Zahra Tashakor; Atoosa Adibi
Journal:  Adv Biomed Res       Date:  2020-10-30
  7 in total

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