Literature DB >> 20133046

Three-dimensional high-frequency characterization of cancerous lymph nodes.

Jonathan Mamou1, Alain Coron, Masaki Hata, Junji Machi, Eugene Yanagihara, Pascal Laugier, Ernest J Feleppa.   

Abstract

High-frequency ultrasound (HFU) offers a means of investigating biologic tissue at the microscopic level. High-frequency, three-dimensional (3-D) quantitative-ultrasound (QUS) methods were developed to characterize freshly-dissected lymph nodes of cancer patients. Three-dimensional ultrasound data were acquired from lymph nodes using a 25.6-MHz center-frequency transducer. Each node was inked prior to tissue fixation to recover orientation after sectioning for 3-D histologic evaluation. Backscattered echo signals were processed using 3-D cylindrical regions-of-interest to yield four QUS estimates associated with tissue microstructure (i.e., effective scatterer size, acoustic concentration, intercept and slope). QUS estimates were computed following established methods using two scattering models. In this study, 46 lymph nodes acquired from 27 patients diagnosed with colon cancer were processed. Results revealed that fully-metastatic nodes could be perfectly differentiated from cancer-free nodes using slope or scatterer-size estimates. Specifically, results indicated that metastatic nodes had an average effective scatterer size (i.e., 37.1 +/- 1.7 microm) significantly larger (p < 0.05) than that in cancer-free nodes (i.e., 26 +/- 3.3 microm). Therefore, the 3-D QUS methods could provide a useful means of identifying small metastatic foci in dissected lymph nodes that might not be detectable using current standard pathology procedures. Copyright 2010 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20133046      PMCID: PMC2826510          DOI: 10.1016/j.ultrasmedbio.2009.10.007

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


  31 in total

1.  Ultrasound backscatter microscopy of mouse embryos.

Authors:  D H Turnbull
Journal:  Methods Mol Biol       Date:  2000

Review 2.  Compilation of empirical ultrasonic properties of mammalian tissues. II.

Authors:  S A Goss; R L Johnston; F Dunn
Journal:  J Acoust Soc Am       Date:  1980-07       Impact factor: 1.840

3.  Propagation speed of sound assessment in the layers of the guinea-pig esophagus in vitro by means of acoustic microscopy.

Authors:  J E Assentoft; H Gregersen; W D O'Brien
Journal:  Ultrasonics       Date:  2001-06       Impact factor: 2.890

4.  Examination of cancer in mouse models using high-frequency quantitative ultrasound.

Authors:  Michael L Oelze; James F Zachary
Journal:  Ultrasound Med Biol       Date:  2006-11       Impact factor: 2.998

5.  Identifying ultrasonic scattering sites from three-dimensional impedance maps.

Authors:  Jonathan Mamou; Michael L Oelze; William D O'Brien; James F Zachary
Journal:  J Acoust Soc Am       Date:  2005-01       Impact factor: 1.840

6.  Influence of histochemical preparation on acoustic parameters of liver tissue: a 5-MHz study.

Authors:  A F van der Steen; M H Cuypers; J M Thijssen; P C de Wilde
Journal:  Ultrasound Med Biol       Date:  1991       Impact factor: 2.998

7.  Relationship of ultrasonic spectral parameters to features of tissue microstructure.

Authors:  F L Lizzi; M Ostromogilsky; E J Feleppa; M C Rorke; M M Yaremko
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  1987       Impact factor: 2.725

8.  Extended three-dimensional impedance map methods for identifying ultrasonic scattering sites.

Authors:  Jonathan Mamou; Michael L Oelze; William D O'Brien; James F Zachary
Journal:  J Acoust Soc Am       Date:  2008-02       Impact factor: 1.840

9.  Three-dimensional high-frequency ultrasonic parameter imaging of anterior segment pathology.

Authors:  R H Silverman; M J Rondeau; F L Lizzi; D J Coleman
Journal:  Ophthalmology       Date:  1995-05       Impact factor: 12.079

10.  Identifying acoustic scattering sources in normal renal parenchyma in vivo by varying arterial and ureteral pressures.

Authors:  M F Insana; J G Wood; T J Hall
Journal:  Ultrasound Med Biol       Date:  1992       Impact factor: 2.998

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  19 in total

1.  Entire-volume serial histological examination for detection of micrometastases in lymph nodes of colorectal cancers.

Authors:  Masaki Hata; Junji Machi; Jonathan Mamou; Eugene T Yanagihara; Emi Saegusa-Beecroft; Gregory K Kobayashi; Clifford C M Wong; Conway Fung; Ernest J Feleppa; Kazuhiro Sakamoto
Journal:  Pathol Oncol Res       Date:  2011-04-15       Impact factor: 3.201

2.  Quantitative ultrasound in cancer imaging.

Authors:  Ernest J Feleppa; Jonathan Mamou; Christopher R Porter; Junji Machi
Journal:  Semin Oncol       Date:  2011-02       Impact factor: 4.929

3.  Ultrasound-based quantification of vitreous floaters correlates with contrast sensitivity and quality of life.

Authors:  Jonathan Mamou; Christianne A Wa; Kenneth M P Yee; Ronald H Silverman; Jeffrey A Ketterling; Alfredo A Sadun; J Sebag
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-01-22       Impact factor: 4.799

4.  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

5.  Three-dimensional high-frequency backscatter and envelope quantification of cancerous human lymph nodes.

Authors:  Jonathan Mamou; Alain Coron; Michael L Oelze; Emi Saegusa-Beecroft; Masaki Hata; Paul Lee; Junji Machi; Eugene Yanagihara; Pascal Laugier; Ernest J Feleppa
Journal:  Ultrasound Med Biol       Date:  2011-03       Impact factor: 2.998

6.  Lymph node characterization in vivo using endoscopic ultrasound spectrum analysis with electronic array echo endoscopes.

Authors:  R E Kumon; A Repaka; M Atkinson; A L Faulx; R C K Wong; G A Isenberg; Y-S Hsiao; M S R Gudur; C X Deng; A Chak
Journal:  Endoscopy       Date:  2012-05-25       Impact factor: 10.093

7.  Effects of Signal Saturation on QUS Parameter Estimates Based on High-Frequency-Ultrasound Signals Acquired From Isolated Cancerous Lymph Nodes.

Authors:  Kazuki Tamura; Jonathan Mamou; Alain Coron; Kenji Yoshida; Ernest J Feleppa; Tadashi Yamaguchi
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2017-08-07       Impact factor: 2.725

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.  Three-dimensional quantitative ultrasound for detecting lymph node metastases.

Authors:  Emi Saegusa-Beecroft; Junji Machi; Jonathan Mamou; Masaki Hata; Alain Coron; Eugene T Yanagihara; Tadashi Yamaguchi; Michael L Oelze; Pascal Laugier; Ernest J Feleppa
Journal:  J Surg Res       Date:  2013-01-08       Impact factor: 2.192

10.  Assessment of high-intensity focused ultrasound treatment of rodent mammary tumors using ultrasound backscatter coefficients.

Authors:  Jeremy P Kemmerer; Goutam Ghoshal; Chandra Karunakaran; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2013-08       Impact factor: 1.840

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