Sonographic Quantification of Ovarian Tumor Vascularity

Objective. The purpose of this study was to assess the diagnostic accuracy of quantitated color Doppler sonography in differentiating benign from malignant ovarian tumors, with the use of tumor histologic examination as a reference standard. Methods. The vascularity of 38 ovarian masses (30 benign a...

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Veröffentlicht in:Journal of ultrasound in medicine 2006-12, Vol.25 (12), p.1577-1581
Hauptverfasser: Wilson, Wendy D, Valet, Amy S, Andreotti, Rochelle F, Green-Jarvis, Brenda, Lyshchik, Andrej, Fleischer, Arthur C
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container_issue 12
container_start_page 1577
container_title Journal of ultrasound in medicine
container_volume 25
creator Wilson, Wendy D
Valet, Amy S
Andreotti, Rochelle F
Green-Jarvis, Brenda
Lyshchik, Andrej
Fleischer, Arthur C
description Objective. The purpose of this study was to assess the diagnostic accuracy of quantitated color Doppler sonography in differentiating benign from malignant ovarian tumors, with the use of tumor histologic examination as a reference standard. Methods. The vascularity of 38 ovarian masses (30 benign and 8 malignant) as quantitatively depicted with color Doppler sonography was analyzed with a readily available software program (ImageJ; National Institutes of Health, Bethesda, MD). The following quantitative sonographic criteria for tumor vascularity were analyzed: the vascularity index (VI) quantified the difference between the total number of pixels and the number of pixels containing no color/total × 100, whereas the power‐weighted pixel density (PWPD) weighted the strength of the signal/total. The accuracy of sonographic criteria for malignant ovarian tumors was evaluated with univariate analysis. Results of tumor histologic examination were used as proof of the final diagnosis. Results. The mean values of VI and PWPD were significantly different in benign versus malignant ovarian lesions (VI, 1.3 ± 1.6 versus 4.7 ± 3.9; P < .01; PWPD, 2338 ± 3305 versus 9403 ± 9946; P < .05). With a VI of greater than 2.3, sensitivity of 75% and specificity of 90% were obtained. When combined with a PWPD of greater than 4555, sensitivity improved to 88%, and specificity improved to 93%. Morphologic analysis had sensitivity of 72% and specificity of 76% for malignancies. Conclusions. Quantitated color Doppler sonography was found to be helpful for distinguishing benign from malignant ovarian masses. However, the wide range in values makes it most useful as an adjunct to morphologic assessment. It is anticipated that quantitated color Doppler sonography could result in a slight improvement in detection of ovarian malignancies.
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The purpose of this study was to assess the diagnostic accuracy of quantitated color Doppler sonography in differentiating benign from malignant ovarian tumors, with the use of tumor histologic examination as a reference standard. Methods. The vascularity of 38 ovarian masses (30 benign and 8 malignant) as quantitatively depicted with color Doppler sonography was analyzed with a readily available software program (ImageJ; National Institutes of Health, Bethesda, MD). The following quantitative sonographic criteria for tumor vascularity were analyzed: the vascularity index (VI) quantified the difference between the total number of pixels and the number of pixels containing no color/total × 100, whereas the power‐weighted pixel density (PWPD) weighted the strength of the signal/total. The accuracy of sonographic criteria for malignant ovarian tumors was evaluated with univariate analysis. Results of tumor histologic examination were used as proof of the final diagnosis. Results. The mean values of VI and PWPD were significantly different in benign versus malignant ovarian lesions (VI, 1.3 ± 1.6 versus 4.7 ± 3.9; P &lt; .01; PWPD, 2338 ± 3305 versus 9403 ± 9946; P &lt; .05). With a VI of greater than 2.3, sensitivity of 75% and specificity of 90% were obtained. When combined with a PWPD of greater than 4555, sensitivity improved to 88%, and specificity improved to 93%. Morphologic analysis had sensitivity of 72% and specificity of 76% for malignancies. Conclusions. Quantitated color Doppler sonography was found to be helpful for distinguishing benign from malignant ovarian masses. However, the wide range in values makes it most useful as an adjunct to morphologic assessment. It is anticipated that quantitated color Doppler sonography could result in a slight improvement in detection of ovarian malignancies.</description><identifier>ISSN: 0278-4297</identifier><identifier>EISSN: 1550-9613</identifier><identifier>DOI: 10.7863/jum.2006.25.12.1577</identifier><identifier>PMID: 17121953</identifier><language>eng</language><publisher>England: Am inst Ulrrasound Med</publisher><subject>color Doppler sonography ; Female ; Humans ; morphologic assessment ; Ovarian Diseases - diagnostic imaging ; ovarian masses ; Ovarian Neoplasms - blood supply ; Ovarian Neoplasms - diagnostic imaging ; Ovarian Neoplasms - pathology ; quantitative analysis ; Sensitivity and Specificity ; Software ; Ultrasonography ; vascularity</subject><ispartof>Journal of ultrasound in medicine, 2006-12, Vol.25 (12), p.1577-1581</ispartof><rights>2016 by the American Institute of Ultrasound in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3927-b78e0a2b83a1f77433f45160a5016b3f99c8ca3e78b00d42df74dff0a7f0eadd3</citedby><cites>FETCH-LOGICAL-c3927-b78e0a2b83a1f77433f45160a5016b3f99c8ca3e78b00d42df74dff0a7f0eadd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.7863%2Fjum.2006.25.12.1577$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.7863%2Fjum.2006.25.12.1577$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17121953$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wilson, Wendy D</creatorcontrib><creatorcontrib>Valet, Amy S</creatorcontrib><creatorcontrib>Andreotti, Rochelle F</creatorcontrib><creatorcontrib>Green-Jarvis, Brenda</creatorcontrib><creatorcontrib>Lyshchik, Andrej</creatorcontrib><creatorcontrib>Fleischer, Arthur C</creatorcontrib><title>Sonographic Quantification of Ovarian Tumor Vascularity</title><title>Journal of ultrasound in medicine</title><addtitle>J Ultrasound Med</addtitle><description>Objective. The purpose of this study was to assess the diagnostic accuracy of quantitated color Doppler sonography in differentiating benign from malignant ovarian tumors, with the use of tumor histologic examination as a reference standard. Methods. The vascularity of 38 ovarian masses (30 benign and 8 malignant) as quantitatively depicted with color Doppler sonography was analyzed with a readily available software program (ImageJ; National Institutes of Health, Bethesda, MD). The following quantitative sonographic criteria for tumor vascularity were analyzed: the vascularity index (VI) quantified the difference between the total number of pixels and the number of pixels containing no color/total × 100, whereas the power‐weighted pixel density (PWPD) weighted the strength of the signal/total. The accuracy of sonographic criteria for malignant ovarian tumors was evaluated with univariate analysis. Results of tumor histologic examination were used as proof of the final diagnosis. Results. The mean values of VI and PWPD were significantly different in benign versus malignant ovarian lesions (VI, 1.3 ± 1.6 versus 4.7 ± 3.9; P &lt; .01; PWPD, 2338 ± 3305 versus 9403 ± 9946; P &lt; .05). With a VI of greater than 2.3, sensitivity of 75% and specificity of 90% were obtained. When combined with a PWPD of greater than 4555, sensitivity improved to 88%, and specificity improved to 93%. Morphologic analysis had sensitivity of 72% and specificity of 76% for malignancies. Conclusions. Quantitated color Doppler sonography was found to be helpful for distinguishing benign from malignant ovarian masses. However, the wide range in values makes it most useful as an adjunct to morphologic assessment. 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The purpose of this study was to assess the diagnostic accuracy of quantitated color Doppler sonography in differentiating benign from malignant ovarian tumors, with the use of tumor histologic examination as a reference standard. Methods. The vascularity of 38 ovarian masses (30 benign and 8 malignant) as quantitatively depicted with color Doppler sonography was analyzed with a readily available software program (ImageJ; National Institutes of Health, Bethesda, MD). The following quantitative sonographic criteria for tumor vascularity were analyzed: the vascularity index (VI) quantified the difference between the total number of pixels and the number of pixels containing no color/total × 100, whereas the power‐weighted pixel density (PWPD) weighted the strength of the signal/total. The accuracy of sonographic criteria for malignant ovarian tumors was evaluated with univariate analysis. Results of tumor histologic examination were used as proof of the final diagnosis. Results. The mean values of VI and PWPD were significantly different in benign versus malignant ovarian lesions (VI, 1.3 ± 1.6 versus 4.7 ± 3.9; P &lt; .01; PWPD, 2338 ± 3305 versus 9403 ± 9946; P &lt; .05). With a VI of greater than 2.3, sensitivity of 75% and specificity of 90% were obtained. When combined with a PWPD of greater than 4555, sensitivity improved to 88%, and specificity improved to 93%. Morphologic analysis had sensitivity of 72% and specificity of 76% for malignancies. Conclusions. Quantitated color Doppler sonography was found to be helpful for distinguishing benign from malignant ovarian masses. However, the wide range in values makes it most useful as an adjunct to morphologic assessment. 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source Wiley-Blackwell Journals; MEDLINE
subjects color Doppler sonography
Female
Humans
morphologic assessment
Ovarian Diseases - diagnostic imaging
ovarian masses
Ovarian Neoplasms - blood supply
Ovarian Neoplasms - diagnostic imaging
Ovarian Neoplasms - pathology
quantitative analysis
Sensitivity and Specificity
Software
Ultrasonography
vascularity
title Sonographic Quantification of Ovarian Tumor Vascularity
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