Literature DB >> 8058950

Breast tumors: computer-assisted quantitative assessment with color Doppler US.

S Huber1, S Delorme, M V Knopp, H Junkermann, I Zuna, D von Fournier, G van Kaick.   

Abstract

PURPOSE: To compare quantified measurements with color Doppler ultrasonography (US) with those obtained with conventional duplex US in the differential diagnosis of suspect lesions in the breast.
MATERIALS AND METHODS: A computer-assisted protocol was used to calculate the color pixel density (CPD) and the mean color value (MCV) in US images of breast lesions. These results were compared with conventional results in the examination of 25 patients (aged 29-78 years) with carcinomas and 32 patients (aged 23-73 years) with benign lesions of the breast.
RESULTS: The sensitivity of maximum flow velocity in helping identify carcinomas was 60% and the specificity was 70%. In color Doppler US, the sensitivity for MCV in helping identify carcinomas was 92% and the specificity was 78%; for CPD the sensitivity was 64% and the specificity was 91%. Combining MCV and CPD did not improve differentiation.
CONCLUSION: Computer-assisted image analysis may be superior to conventional duplex US in helping differentiate between carcinomas and benign lesions.

Entities:  

Mesh:

Year:  1994        PMID: 8058950     DOI: 10.1148/radiology.192.3.8058950

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  12 in total

Review 1.  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

2.  Breast Sonography - 2D, 3D, 4D Ultrasound or Elastography?

Authors:  Christian Weismann; Christian Mayr; Heike Egger; Alena Auer
Journal:  Breast Care (Basel)       Date:  2011-04-29       Impact factor: 2.860

Review 3.  [Quantitative methods in sonography].

Authors:  K-V Jenderka; S Delorme
Journal:  Radiologe       Date:  2019-11       Impact factor: 0.635

4.  Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.

Authors:  Yading Yuan; Maryellen L Giger; Hui Li; Neha Bhooshan; Charlene A Sennett
Journal:  Acad Radiol       Date:  2010-09       Impact factor: 3.173

5.  [Breast cancer. Sonography and magnetic resonance mammography].

Authors:  S Delorme
Journal:  Radiologe       Date:  2004-06       Impact factor: 0.635

Review 6.  Clinical biomarkers of angiogenesis inhibition.

Authors:  Aaron P Brown; Deborah E Citrin; Kevin A Camphausen
Journal:  Cancer Metastasis Rev       Date:  2008-09       Impact factor: 9.264

7.  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 8.  Ultrasound of prostate cancer: recent advances.

Authors:  Leo Pallwein; Michael Mitterberger; Alexandre Pelzer; Georg Bartsch; Hannes Strasser; Germar M Pinggera; Friedrich Aigner; Johann Gradl; Dieter Zur Nedden; Ferdinand Frauscher
Journal:  Eur Radiol       Date:  2007-10-16       Impact factor: 5.315

Review 9.  Intra-tumoural microvessel density in human solid tumours.

Authors:  J Hasan; R Byers; G C Jayson
Journal:  Br J Cancer       Date:  2002-05-20       Impact factor: 7.640

10.  Chemoprotection Across the Tumor Border: Cancer Cell Response to Doxorubicin Depends on Stromal Fibroblast Ratios and Interstitial Therapeutic Transport.

Authors:  Daniel K Logsdon; Garrett F Beeghly; Jennifer M Munson
Journal:  Cell Mol Bioeng       Date:  2017-08-02       Impact factor: 2.321

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