Literature DB >> 8246339

Differentiation of breast tumors by ultrasonic tissue characterization.

R M Golub1, R E Parsons, B Sigel, E J Feleppa, J Justin, H A Zaren, M Rorke, J Sokil-Melgar, H Kimitsuki.   

Abstract

The ability of ultrasonic tissue characterization to differentiate and classify benign and malignant breast tissues in vivo in patients with palpable breast masses and in vitro in excised breast tissue was evaluated. One-hundred and twenty-four in vivo and 89 in vitro studies were performed using a technique of UTC based on parameters from the power spectrum of backscattered echoes. Sensitivities and specificities for diagnosing carcinoma were 86 and 84% for in vivo studies and 94 and 92% for in vitro studies. These UTC parameters provided threshold values for color-coding breast lesion images. The results of this preliminary investigation suggest that UTC provides a basis for assessing more accurately lesions suspected of being malignant prior to biopsy and possibly for evaluating breast lesions noninvasively.

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Year:  1993        PMID: 8246339     DOI: 10.7863/jum.1993.12.10.601

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  15 in total

1.  Noninvasive, quantitative, spatiotemporal characterization of mineralization in three-dimensional collagen hydrogels using high-resolution spectral ultrasound imaging.

Authors:  Madhu Gudur; Rameshwar R Rao; Yi-Sing Hsiao; Alexis W Peterson; Cheri X Deng; Jan P Stegemann
Journal:  Tissue Eng Part C Methods       Date:  2012-07-16       Impact factor: 3.056

Review 2.  Ultrasound Imaging Techniques for Spatiotemporal Characterization of Composition, Microstructure, and Mechanical Properties in Tissue Engineering.

Authors:  Cheri X Deng; Xiaowei Hong; Jan P Stegemann
Journal:  Tissue Eng Part B Rev       Date:  2016-03-14       Impact factor: 6.389

3.  Low Variance Estimation of Backscatter Quantitative Ultrasound Parameters Using Dynamic Programming.

Authors:  Zara Vajihi; Ivan M Rosado-Mendez; Timothy J Hall; Hassan Rivaz
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-09-12       Impact factor: 2.725

4.  Novel technology of multimodal ultrasound tomography detects breast lesions.

Authors:  G Zografos; D Koulocheri; P Liakou; M Sofras; S Hadjiagapis; M Orme; V Marmarelis
Journal:  Eur Radiol       Date:  2012-09-16       Impact factor: 5.315

Review 5.  Non-invasive and Non-destructive Characterization of Tissue Engineered Constructs Using Ultrasound Imaging Technologies: A Review.

Authors:  Kang Kim; William R Wagner
Journal:  Ann Biomed Eng       Date:  2015-10-30       Impact factor: 3.934

6.  Differentiation of BIRADS-4 small breast lesions via Multimodal Ultrasound Tomography.

Authors:  G Zografos; P Liakou; D Koulocheri; I Liovarou; M Sofras; S Hadjiagapis; M Orme; V Marmarelis
Journal:  Eur Radiol       Date:  2014-09-14       Impact factor: 5.315

7.  Comparison of ultrasound attenuation and backscatter estimates in layered tissue-mimicking phantoms among three clinical scanners.

Authors:  Kibo Nam; Ivan M Rosado-Mendez; Lauren A Wirtzfeld; Goutam Ghoshal; Alexander D Pawlicki; Ernest L Madsen; Roberto J Lavarello; Michael L Oelze; James A Zagzebski; William D O'Brien; Timothy J Hall
Journal:  Ultrason Imaging       Date:  2012-10       Impact factor: 1.578

8.  Quantitative assessment of in vivo breast masses using ultrasound attenuation and backscatter.

Authors:  Kibo Nam; James A Zagzebski; Timothy J Hall
Journal:  Ultrason Imaging       Date:  2013-04       Impact factor: 1.578

9.  In vivo characterization of pancreatic and lymph node tissue by using EUS spectrum analysis: a validation study.

Authors:  Ronald E Kumon; Michael J Pollack; Ashley L Faulx; Kayode Olowe; Farees T Farooq; Victor K Chen; Yun Zhou; Richard C K Wong; Gerard A Isenberg; Michael V Sivak; Amitabh Chak; Cheri X Deng
Journal:  Gastrointest Endosc       Date:  2009-11-17       Impact factor: 9.427

10.  Ultrasound kidney image analysis for computerized disorder identification and classification using content descriptive power spectral features.

Authors:  K Bommanna Raja; M Madheswaran; K Thyagarajah
Journal:  J Med Syst       Date:  2007-10       Impact factor: 4.460

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