Literature DB >> 31530420

Ultrasensitive Ultrasound Microvessel Imaging for Characterizing Benign and Malignant Breast Tumors.

Ping Gong1, Pengfei Song1, Chengwu Huang1, U-Wai Lok1, Shanshan Tang1, Yue Yu2, Duane D Meixner1, Kathryn J Ruddy3, Karthik Ghosh4, Robert T Fazzio1, Wenwu Ling5, Shigao Chen1.   

Abstract

Tumor angiogenesis plays an important role during breast tumor growth. However, conventional Doppler has limited sensitivity to detect small blood vessels, resulting in a large overlap of Doppler features between benign and malignant tumors. An ultrasensitive ultrasound microvessel imaging (UMI) technique was recently developed. To evaluate the performance of UMI, we studied 44 patients with 51 breast masses. Tumor pathology served as the gold standard: 28 malignancies and 23 benignities. UMI provided a significant improvement in depicting smaller vessels compared with conventional Doppler. The microvessel morphologies observed on UMI were associated with tumor benign/malignant classification. The diagnostic accuracy of correct Breast Imaging Reporting and Data System (BI-RADS) classification rate (BI-RADS ≥4a: test positive; BI-RADS ≤3: test negative) as a fraction of total mass population was improved by 16% after combining conventional ultrasound with UMI compared with using conventional ultrasound alone. This improvement indicates the potential of UMI in reducing unnecessary benign biopsies and avoiding missed malignant biopsies.
Copyright © 2019 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast tumor differentiation; Doppler sensitivity; Microvessel imaging; Tumor angiogenesis; Ultrafast ultrasound imaging

Year:  2019        PMID: 31530420      PMCID: PMC6823129          DOI: 10.1016/j.ultrasmedbio.2019.08.009

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


  27 in total

1.  Pulse inversion imaging of liver blood flow: improved method for characterizing focal masses with microbubble contrast.

Authors:  P N Burns; S R Wilson; D H Simpson
Journal:  Invest Radiol       Date:  2000-01       Impact factor: 6.016

2.  Role of power Doppler techniques and ultrasound contrast enhancement in the differential diagnosis of focal breast lesions.

Authors:  Ralf-Juergen Schroeder; Magdalena Bostanjoglo; Juergen Rademaker; Juergen Maeurer; Roland Felix
Journal:  Eur Radiol       Date:  2002-06-07       Impact factor: 5.315

3.  American Cancer Society guidelines for breast cancer screening: update 2003.

Authors:  Robert A Smith; Debbie Saslow; Kimberly Andrews Sawyer; Wylie Burke; Mary E Costanza; W Phil Evans; Roger S Foster; Edward Hendrick; Harmon J Eyre; Steven Sener
Journal:  CA Cancer J Clin       Date:  2003 May-Jun       Impact factor: 508.702

4.  Measuring tortuosity of the intracerebral vasculature from MRA images.

Authors:  Elizabeth Bullitt; Guido Gerig; Stephen M Pizer; Weili Lin; Stephen R Aylward
Journal:  IEEE Trans Med Imaging       Date:  2003-09       Impact factor: 10.048

5.  Vascular morphology and tortuosity analysis of breast tumor inside and outside contour by 3-D power Doppler ultrasound.

Authors:  Yeun-Chung Chang; Yan-Hao Huang; Chiun-Sheng Huang; Ruey-Feng Chang
Journal:  Ultrasound Med Biol       Date:  2012-09-10       Impact factor: 2.998

6.  Differentiating benign from malignant solid breast lesions: combined utility of conventional ultrasound and contrast-enhanced ultrasound in comparison with magnetic resonance imaging.

Authors:  Jing Du; Lin Wang; Cai-Feng Wan; Jia Hua; Hua Fang; Jie Chen; Feng-Hua Li
Journal:  Eur J Radiol       Date:  2012-10-11       Impact factor: 3.528

7.  Characterization of benign and malignant solid breast masses: comparison of conventional US and tissue harmonic imaging.

Authors:  Joo Hee Cha; Woo Kyung Moon; Nariya Cho; Sun Mi Kim; Seong Ho Park; Boo-Kyung Han; Yeon Hyeon Choe; Jeong Mi Park; Jung-Gi Im
Journal:  Radiology       Date:  2006-11-07       Impact factor: 11.105

8.  Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer.

Authors:  Wendie A Berg; Jeffrey D Blume; Jean B Cormack; Ellen B Mendelson; Daniel Lehrer; Marcela Böhm-Vélez; Etta D Pisano; Roberta A Jong; W Phil Evans; Marilyn J Morton; Mary C Mahoney; Linda Hovanessian Larsen; Richard G Barr; Dione M Farria; Helga S Marques; Karan Boparai
Journal:  JAMA       Date:  2008-05-14       Impact factor: 56.272

Review 9.  Early detection of breast cancer: benefits and risks of supplemental breast ultrasound in asymptomatic women with mammographically dense breast tissue. A systematic review.

Authors:  Monika Nothacker; Volker Duda; Markus Hahn; Mathias Warm; Friedrich Degenhardt; Helmut Madjar; Susanne Weinbrenner; Ute-Susann Albert
Journal:  BMC Cancer       Date:  2009-09-20       Impact factor: 4.430

10.  An Innovative Ultrasound Technique for Evaluation of Tumor Vascularity in Breast Cancers: Superb Micro-Vascular Imaging.

Authors:  Ah Young Park; Bo Kyoung Seo; Sang Hoon Cha; Suk Keu Yeom; Seung Wha Lee; Hwan Hoon Chung
Journal:  J Breast Cancer       Date:  2016-06-24       Impact factor: 3.588

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  3 in total

1.  Adaptive and Robust Vessel Quantification in Contrast-Free Ultrafast Ultrasound Microvessel Imaging.

Authors:  Shanshan Tang; Chengwu Huang; Ping Gong; U-Wai Lok; Chenyun Zhou; Lulu Yang; Kate M Knoll; Kathryn A Robinson; Shannon P Sheedy; Joel G Fletcher; David H Bruining; John M Knudsen; Shigao Chen
Journal:  Ultrasound Med Biol       Date:  2022-07-23       Impact factor: 3.694

2.  Ultrasound high-definition microvasculature imaging with novel quantitative biomarkers improves breast cancer detection accuracy.

Authors:  Redouane Ternifi; Yinong Wang; Juanjuan Gu; Eric C Polley; Jodi M Carter; Sandhya Pruthi; Judy C Boughey; Robert T Fazzio; Mostafa Fatemi; Azra Alizad
Journal:  Eur Radiol       Date:  2022-04-29       Impact factor: 7.034

3.  Diagnostic accuracy of S-Detect to breast cancer on ultrasonography: A meta-analysis (PRISMA).

Authors:  Xiaolei Wang; Shuang Meng
Journal:  Medicine (Baltimore)       Date:  2022-08-26       Impact factor: 1.817

  3 in total

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