Literature DB >> 18504770

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

D Timmerman1, A C Testa, T Bourne, L Ameye, D Jurkovic, C Van Holsbeke, D Paladini, B Van Calster, I Vergote, S Van Huffel, L Valentin.   

Abstract

OBJECTIVE: To derive simple and clinically useful ultrasound-based rules for discriminating between benign and malignant adnexal masses.
METHODS: In a multicenter study involving nine centers consecutive patients with persistent adnexal tumors underwent transvaginal gray-scale and Doppler ultrasound examination using a standardized examination technique and standardized terms and definitions. Information on 42 gray-scale ultrasound variables and six Doppler variables was collected and entered into a research protocol. When developing simple ultrasound-based rules to predict malignancy (M-rules) we chose the ultrasound variable or the combination of ultrasound variables that had the highest positive predictive value (PPV) with regard to malignancy; when developing simple rules to predict a benign tumor (B-rules) we chose the ultrasound variable or the combination of ultrasound variables that had the lowest PPV with regard to malignancy. We selected ten rules that were in agreement with our clinical experience and were applicable to at least 30 tumors and then tested them prospectively on 507 tumors examined in three of the nine centers.
RESULTS: 1066 patients with 1233 adnexal tumors were included. There were 903 benign tumors (73%) and 330 malignant tumors (27%). In 167 patients the tumors were bilateral. We selected five simple rules to predict malignancy (M-rules): (1) irregular solid tumor; (2) ascites; (3) at least four papillary structures; (4) irregular multilocular-solid tumor with a largest diameter of at least 100 mm; and (5) very high color content on color Doppler examination. We chose five simple rules to suggest a benign tumor (B-rules): (1) unilocular cyst; (2) presence of solid components where the largest solid component is < 7 mm in largest diameter; (3) acoustic shadows; (4) smooth multilocular tumor less than 100 mm in largest diameter; and (5) no detectable blood flow on Doppler examination. These ten rules were applicable to 76% of all tumors, where they resulted in a sensitivity of 93%, specificity of 90%, positive likelihood ratio (LR+) of 9.45 and negative likelihood ratio (LR-) of 0.08. When prospectively tested the rules were applicable in 76% (386/507) of the tumors, where they had a sensitivity of 95% (106/112), a specificity of 91% (249/274), LR+ of 10.37, and LR- of 0.06.
CONCLUSION: Most adnexal tumors in an ordinary tumor population can be correctly classified as benign or malignant using simple ultrasound-based rules. For tumors that cannot be classified using simple rules, ultrasound examination by an expert examiner might be useful.

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Year:  2008        PMID: 18504770     DOI: 10.1002/uog.5365

Source DB:  PubMed          Journal:  Ultrasound Obstet Gynecol        ISSN: 0960-7692            Impact factor:   7.299


  89 in total

1.  Screening for ovarian cancer: imaging challenges and opportunities for improvement.

Authors:  K B Mathieu; D G Bedi; S L Thrower; A Qayyum; R C Bast
Journal:  Ultrasound Obstet Gynecol       Date:  2018-03       Impact factor: 7.299

2.  Parametric mapping of contrasted ovarian transvaginal sonography.

Authors:  Katrina Korhonen; Ryan Moore; Andrej Lyshchik; Arthur C Fleischer
Journal:  Ultrasound Q       Date:  2015-06       Impact factor: 1.657

3.  S3-Guideline on Diagnostics, Therapy and Follow-up of Malignant Ovarian Tumours: Short version 1.0 - AWMF registration number: 032/035OL, June 2013.

Authors:  U Wagner; P Harter; F Hilpert; S Mahner; A Reuß; A du Bois; E Petru; W Meier; P Ortner; K König; K Lindel; D Grab; P Piso; O Ortmann; I Runnebaum; J Pfisterer; D Lüftner; N Frickhofen; F Grünwald; B O Maier; J Diebold; S Hauptmann; F Kommoss; G Emons; B Radeleff; M Gebhardt; N Arnold; G Calaminus; I Weisse; J Weis; J Sehouli; D Fink; A Burges; A Hasenburg; C Eggert
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-09       Impact factor: 2.915

4.  Pediatric risk of malignancy index for preoperative evaluation of childhood ovarian tumors.

Authors:  Amos Hong Pheng Loh; Chiou Li Ong; Shu Lin Lam; Joyce Horng Yiing Chua; Chan Hon Chui
Journal:  Pediatr Surg Int       Date:  2011-12-08       Impact factor: 1.827

5.  Utilizing spatial and spectral features of photoacoustic imaging for ovarian cancer detection and diagnosis.

Authors:  Hai Li; Patrick Kumavor; Umar Salman Alqasemi; Quing Zhu
Journal:  J Biomed Opt       Date:  2015-01       Impact factor: 3.170

6.  [Ultrasonographic clarification of adnexal findings].

Authors:  H J Prömpeler
Journal:  Radiologe       Date:  2011-07       Impact factor: 0.635

7.  Recognition algorithm for assisting ovarian cancer diagnosis from coregistered ultrasound and photoacoustic images: ex vivo study.

Authors:  Umar Alqasemi; Patrick Kumavor; Andres Aguirre; Quing Zhu
Journal:  J Biomed Opt       Date:  2012-12       Impact factor: 3.170

8.  Usefulness of the preoperative platelet count in the diagnosis of adnexal tumors.

Authors:  Rafał Watrowski; Georg Heinze; Christoph Jäger; Johannes Forster; Robert Zeillinger
Journal:  Tumour Biol       Date:  2016-05-20

9.  Diagnostic value of contrast-enhanced ultrasonography in the characterization of ovarian tumors().

Authors:  L M Sconfienza; N Perrone; A Delnevo; F Lacelli; C Murolo; N Gandolfo; G Serafini
Journal:  J Ultrasound       Date:  2009-10-13

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

Authors:  Atsushi Tajima; Chikako Suzuki; Iwaho Kikuchi; Hanako Kasahara; Akari Koizumi; Michio Nojima; Koyo Yoshida
Journal:  J Med Ultrason (2001)       Date:  2015-12-10       Impact factor: 1.314

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