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Backscatter Quantification for the Detection of Metastatic Regions in Human Lymph Nodes

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Quantitative Ultrasound in Soft Tissues

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Abstract

Quantitative ultrasound (QUS) methods using high-frequency ultrasound offer a means of investigating biological tissue at the microscopic level. This chapter describes high-frequency, three-dimensional (3D) QUS methods to characterize freshly dissected lymph nodes of cancer patients. 3D ultrasound radio-frequency 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 3D histological evaluation. Backscattered echo signals were processed using 3D cylindrical regions-of-interest to yield four QUS estimates associated with tissue microstructure (i.e., effective scatterer size, acoustic concentration, spectral intercept, and spectral slope). QUS estimates were computed following established methods using two scattering models. Then, the four QUS estimates were combined using linear-discriminant analysis to increase classification performance. Finally, the discriminant scores were used to compute a posteriori cancer probability. In this study, more than 400 lymph nodes acquired from more than 250 patients diagnosed with colon, breast, or gastric cancer were processed. Results indicated that metastatic and cancer-free lymph nodes of colon- and gastric-cancer patients could be well classified using these methods and that metastatic regions could potentially be detected and used to guide pathologists towards suspicious regions.

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Authors and Affiliations

  1. F. L. Lizzi Center for Biomedical Engineering, Riverside Research, New York, NY, USA

    Jonathan Mamou & Ernest J. Feleppa

  2. UMR7623, Laboratoire d’Imagerie Paramétrique, CNRS, Paris, F-75006, France

    Alain Coron & Pascal Laugier

  3. UMR7623, LIP, UPMC Univ Paris 06, Paris, F-75005, France

    Alain Coron & Pascal Laugier

  4. University of Hawaii and Kuakini Medical Center, Honolulu, HI, USA

    Emi Saegusa-Beecroft, Masaki Hata, Eugene Yanagihara & Junji Machi

Authors
  1. Jonathan Mamou
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  2. Alain Coron
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  3. Emi Saegusa-Beecroft
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  4. Masaki Hata
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  5. Eugene Yanagihara
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  6. Junji Machi
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  7. Pascal Laugier
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  8. Ernest J. Feleppa
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Corresponding author

Correspondence to Jonathan Mamou .

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Editors and Affiliations

  1. Biomedical Engineering, Riverside Research Institute F.L. Lizzi Center, New York, New York, USA

    Jonathan Mamou

  2. Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA

    Michael L. Oelze

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Mamou, J. et al. (2013). Backscatter Quantification for the Detection of Metastatic Regions in Human Lymph Nodes. In: Mamou, J., Oelze, M. (eds) Quantitative Ultrasound in Soft Tissues. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6952-6_7

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