Literature DB >> 26660908

Efficacy of the echo pattern classification of ovarian tumors 2000 in conjunction with transvaginal ultrasonography for diagnosis of ovarian masses.

Atsushi Tajima1, Chikako Suzuki2, Iwaho Kikuchi2, Hanako Kasahara2, Akari Koizumi2, Michio Nojima2, Koyo Yoshida2.   

Abstract

PURPOSE: Because of the need for rapid, accurate clinical differentiation between malignant and benign ovarian masses, we investigated the diagnostic efficacy of the echo pattern classification used together with transvaginal ultrasound.
METHODS: We classified, on the basis of six echo pattern types, transvaginal ultrasound images of 405 ovarian masses treated surgically between January 2011 and December 2012. We compared the resulting classifications to the postoperative histopathologic diagnoses and computed the diagnostic sensitivity and specificity of the echo pattern-based classification for malignancy.
RESULTS: Our review yielded the following echo patterns: type I, n = 61; type II; n = 154; type III, n = 82; type IV, n = 61; type V, n = 34; and type VI, n = 13. Histopathologically, there were 75 borderline malignant/malignant tumors and 330 benign tumors. Diagnostic sensitivity was 80.0 % and specificity was 85.5 % when echo types I-III were categorized as benign and types IV-VI were categorized as malignant. Further, with respect to benign tumors: sensitivity and specificity for chocolate cysts were 85.5 and 88.4 %, respectively, and for dermoid cysts were 67.2 and 97.9 %, respectively.
CONCLUSIONS: With the echo pattern classification, ovarian masses can be diagnosed easily and accurately upon transvaginal ultrasound.

Entities:  

Keywords:  Echo pattern classification; Ovarian tumor; Transvaginal ultrasonography

Mesh:

Year:  2015        PMID: 26660908     DOI: 10.1007/s10396-015-0689-2

Source DB:  PubMed          Journal:  J Med Ultrason (2001)        ISSN: 1346-4523            Impact factor:   1.314


  11 in total

Review 1.  Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) Group.

Authors:  D Timmerman; L Valentin; T H Bourne; W P Collins; H Verrelst; I Vergote
Journal:  Ultrasound Obstet Gynecol       Date:  2000-10       Impact factor: 7.299

2.  Transvaginal ultrasonography in gynecologic office practice: assessment in 663 premenopausal women.

Authors:  M L Reuss; S Kolton; T Tharakan
Journal:  Am J Obstet Gynecol       Date:  1996-11       Impact factor: 8.661

3.  A risk of malignancy index incorporating CA 125, ultrasound and menopausal status for the accurate preoperative diagnosis of ovarian cancer.

Authors:  I Jacobs; D Oram; J Fairbanks; J Turner; C Frost; J G Grudzinskas
Journal:  Br J Obstet Gynaecol       Date:  1990-10

4.  Lesion size affects diagnostic performance of IOTA logistic regression models, IOTA simple rules and risk of malignancy index in discriminating between benign and malignant adnexal masses.

Authors:  A Di Legge; A C Testa; L Ameye; B Van Calster; A A Lissoni; F P G Leone; L Savelli; D Franchi; A Czekierdowski; D Trio; C Van Holsbeke; E Ferrazzi; G Scambia; D Timmerman; L Valentin
Journal:  Ultrasound Obstet Gynecol       Date:  2012-08-07       Impact factor: 7.299

5.  Logistic regression model to distinguish between the benign and malignant adnexal mass before surgery: a multicenter study by the International Ovarian Tumor Analysis Group.

Authors:  Dirk Timmerman; Antonia C Testa; Tom Bourne; Enrico Ferrazzi; Lieveke Ameye; Maja L Konstantinovic; Ben Van Calster; William P Collins; Ignace Vergote; Sabine Van Huffel; Lil Valentin
Journal:  J Clin Oncol       Date:  2005-12-01       Impact factor: 44.544

6.  Clinically oriented three-step strategy for assessment of adnexal pathology.

Authors:  L Ameye; D Timmerman; L Valentin; D Paladini; J Zhang; C Van Holsbeke; A A Lissoni; L Savelli; J Veldman; A C Testa; F Amant; S Van Huffel; T Bourne
Journal:  Ultrasound Obstet Gynecol       Date:  2012-11       Impact factor: 7.299

7.  Differentiation of small adnexal masses based on morphologic characteristics of transvaginal sonographic imaging: a multicenter study.

Authors:  Enrico Ferrazzi; Andrea A Lissoni; Danilo Dordoni; Diego Trio; Laura Redaelli; Costantino Rusconi; Patrizia Sanpaolo; Irene Floriani; Valter Torri; Silvano Zaglio; Adriana Valcamonico; Francesca Piol; Nicola Berlanda; Gerardo Zanetta
Journal:  J Ultrasound Med       Date:  2005-11       Impact factor: 2.153

8.  Simple ultrasound-based rules for the diagnosis of ovarian cancer.

Authors:  D Timmerman; A C Testa; T Bourne; L Ameye; D Jurkovic; C Van Holsbeke; D Paladini; B Van Calster; I Vergote; S Van Huffel; L Valentin
Journal:  Ultrasound Obstet Gynecol       Date:  2008-06       Impact factor: 7.299

9.  A randomized study of screening for ovarian cancer: a multicenter study in Japan.

Authors:  H Kobayashi; Y Yamada; T Sado; M Sakata; S Yoshida; R Kawaguchi; S Kanayama; H Shigetomi; S Haruta; Y Tsuji; S Ueda; T Kitanaka
Journal:  Int J Gynecol Cancer       Date:  2007-07-21       Impact factor: 3.437

10.  Strategies to diagnose ovarian cancer: new evidence from phase 3 of the multicentre international IOTA study.

Authors:  A Testa; J Kaijser; L Wynants; D Fischerova; C Van Holsbeke; D Franchi; L Savelli; E Epstein; A Czekierdowski; S Guerriero; R Fruscio; F P G Leone; I Vergote; T Bourne; L Valentin; B Van Calster; D Timmerman
Journal:  Br J Cancer       Date:  2014-06-17       Impact factor: 7.640

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  1 in total

Review 1.  Intrathoracic tuberculous lymphadenopathy in children: a guide to chest radiography.

Authors:  Anthony George; Savvas Andronikou; Tanyia Pillay; Pierre Goussard; Heather J Zar
Journal:  Pediatr Radiol       Date:  2017-08-29
  1 in total

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