Literature DB >> 9809628

3-D color Doppler image quantification of breast masses.

P L Carson1, J B Fowlkes, M A Roubidoux, A P Moskalik, A Govil, D Normolle, G LeCarpentier, S Nattakom, M Helvie, J M Rubin.   

Abstract

In this article, new measures obtained from color Doppler images are introduced and a pilot study is described, in which these and previously published indices are evaluated for use in future work. Twenty women with breast masses observed on mammography and going to surgical biopsy were studied. Of the masses, 11 proved to be benign and 9 were malignant. Both 3-D mean frequency shift (f-CDI) and power mode Doppler (p-CDI) imaging were performed. To identify the mass and other regions of interest, vessels were displayed as rotatable 3-D color volumes, superimposed on selectable grey-scale/color flow slices. Doppler signals were recorded in each of 6 ellipsoidal regions of interest in and around the mass and 2 in normal tissues. Seven measures were computed in each region, three from power mode, two from mean frequency and two from combinations of both. Radiologists rated the grey-scale appearances of the masses on a scale of 1 to 5 (5=most suspicious) for each of 6 conventional grey-scale criteria. Of the individual vascularity measures in individual ROIs, the log speed-weighted pixel density and log power-weighted pixel density in the lesion internal periphery showed the greatest discrimination of malignancy, although neither was statistically significant nor as good as the peak variables described below. The mean visual grey-scale rating was the best discriminator overall, but two peak vascularity measures each made promising scatterplots in conjunction with the average visual grey-scale rating. These two vascularity measures were the log peak normalized power-weighted pixel density (peak NPD) and log of peak mean Doppler frequency times the peak NPD (vM x NPD(M)). Each of these two values was the maximum in any one of the five chosen ROIs closely associated with the mass. A possible rationale for the relative success of these peak values is the blood signal's normalization and the inhomogeneity of most breast cancers and the expectation that the highest velocities (shunting) and largest collections of blood are not necessarily in the same region in and around the tumor. Peak NPD of cancers varied with age, decreasing by a factor of 45 from 33 to 77 y.

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Year:  1998        PMID: 9809628     DOI: 10.1016/s0301-5629(98)00055-6

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  10 in total

1.  Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy.

Authors:  Berkman Sahiner; Heang-Ping Chan; Marilyn A Roubidoux; Lubomir M Hadjiiski; Mark A Helvie; Chintana Paramagul; Janet Bailey; Alexis V Nees; Caroline Blane
Journal:  Radiology       Date:  2007-01-23       Impact factor: 11.105

Review 2.  A review of breast ultrasound.

Authors:  Chandra M Sehgal; Susan P Weinstein; Peter H Arger; Emily F Conant
Journal:  J Mammary Gland Biol Neoplasia       Date:  2006-04       Impact factor: 2.673

3.  Rapid 3D imaging of contrast flow: demonstration of a dual beam technique.

Authors:  Nelson G Chen; J Brian Fowlkes; Paul L Carson; Gerald L LeCarpentier
Journal:  Ultrasound Med Biol       Date:  2007-04-27       Impact factor: 2.998

4.  Quantitative analysis of vascular heterogeneity in breast lesions using contrast-enhanced 3-D harmonic and subharmonic ultrasound imaging.

Authors:  Anush Sridharan; John R Eisenbrey; Priscilla Machado; Haydee Ojeda-Fournier; Annina Wilkes; Alexander Sevrukov; Robert F Mattrey; Kirk Wallace; Carl L Chalek; Kai E Thomenius; Flemming Forsberg
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2015-03       Impact factor: 2.725

5.  Characterizing Breast Lesions Using Quantitative Parametric 3D Subharmonic Imaging: A Multicenter Study.

Authors:  Anush Sridharan; John R Eisenbrey; Maria Stanczak; Priscilla Machado; Daniel A Merton; Annina Wilkes; Alexander Sevrukov; Haydee Ojeda-Fournier; Robert F Mattrey; Kirk Wallace; Flemming Forsberg
Journal:  Acad Radiol       Date:  2019-12-16       Impact factor: 3.173

6.  Diagnosis of solid breast tumors using vessel analysis in three-dimensional power Doppler ultrasound images.

Authors:  Yan-Hao Huang; Jeon-Hor Chen; Yeun-Chung Chang; Chiun-Sheng Huang; Woo Kyung Moon; Wen-Jia Kuo; Kuan-Ju Lai; Ruey-Feng Chang
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

7.  Spatial registration of temporally separated whole breast 3D ultrasound images.

Authors:  Ganesh Narayanasamy; Gerald L LeCarpentier; Marilyn Roubidoux; J Brian Fowlkes; Anne F Schott; Paul L Carson
Journal:  Med Phys       Date:  2009-09       Impact factor: 4.071

8.  Suspicious breast lesions: assessment of 3D Doppler US indexes for classification in a test population and fourfold cross-validation scheme.

Authors:  Gerald L LeCarpentier; Marilyn A Roubidoux; J Brian Fowlkes; Jochen F Krücker; Karen A Hunt; Chintana Paramagul; Timothy D Johnson; Nancy J Thorson; Karen D Engle; Paul L Carson
Journal:  Radiology       Date:  2008-11       Impact factor: 11.105

Review 9.  Quantitative Nonlinear Contrast-Enhanced Ultrasound of the Breast.

Authors:  Anush Sridharan; John R Eisenbrey; Jaydev K Dave; Flemming Forsberg
Journal:  AJR Am J Roentgenol       Date:  2016-05-25       Impact factor: 3.959

10.  Ultrasonographic tissue perfusion analysis at implant and palatal donor sites following soft tissue augmentation: A clinical pilot study.

Authors:  Lorenzo Tavelli; Shayan Barootchi; Jad Majzoub; Hsun-Liang Chan; William V Giannobile; Hom-Lay Wang; Oliver D Kripfgans
Journal:  J Clin Periodontol       Date:  2021-02-03       Impact factor: 8.728

  10 in total

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