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Proceedings Paper

Quantification of axillary lymphadenopathy from CT images of filovirus infections in non-human primates: sensitivity and evaluation of radiomics-based methods
Author(s): Marcelo A. Castro; Jeffrey Solomon; Ji Hyun Lee; Philip J. Sayre; Christopher Bartos; David Thomasson; Laura Bollinger; Jennifer Sword; Lisa Hensley; Reed F. Johnson; Irwin M. Feuerstein
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Paper Abstract

Estimation of lymph node size and location from computed tomography images is relevant for many clinical applications. However, no previous study has had an intra- and inter-subject, quantitative, repeated measures design to assess the axillary lymphadenopathy. During the course of filovirus infection marked increase in axillary lymph node volume occurs along with edema. Computed tomographic images from eight nonhuman primates exposed intramuscularly (triceps brachii) to either Ebola or Marburg virus were analyzed using radiomics features. Normal values of attenuation in the axillae and surrounding muscles were compared to several baseline acquisitions. While intra-subject variability remained constrained, inter-subject variability was large enough to encourage the use of subject-specific feature values. First and second order radiomics features including those from grey-level co-occurrence matrix and grey-level size zone matrix were investigated. Changes in axillary space volume, mean attenuation, and attenuation distribution during filovirus infection bilaterally (ipsilateral and contralateral to the exposure site) indicated that ipsilateral axillae were affected to a greater degree than contralateral axillae when compared to baseline. Use of subject-specific averaged baselines is necessary to establish normal variation and to determine if post-exposure measurements are significantly different from baselines. A model-based classification, a Gaussian mixture model, can be used to estimate the changes in fractional volume of different tissues (fat, lymph nodes, other tissues within axillae) from attenuation histograms. Radiomics features investigated were consistent with the other descriptors. This method has the potential to be used as a biomarker for the understanding of filovirus diseases and for monitoring and evaluating therapeutic options.

Paper Details

Date Published: 28 February 2020
PDF: 19 pages
Proc. SPIE 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1131725 (28 February 2020); doi: 10.1117/12.2548627
Show Author Affiliations
Marcelo A. Castro, National Institute of Allergy and Infectious Diseases (United States)
Jeffrey Solomon, Frederick National Lab. for Cancer Research (United States)
Ji Hyun Lee, National Institute of Allergy and Infectious Diseases (United States)
Philip J. Sayre, National Institute of Allergy and Infectious Diseases (United States)
Christopher Bartos, National Institute of Allergy and Infectious Diseases (United States)
David Thomasson, National Institute of Allergy and Infectious Diseases (United States)
Laura Bollinger, National Institute of Allergy and Infectious Diseases (United States)
Jennifer Sword, National Institute of Allergy and Infectious Diseases (United States)
Lisa Hensley, National Institute of Allergy and Infectious Diseases (United States)
Reed F. Johnson, National Institute of Allergy and Infectious Diseases (United States)
Irwin M. Feuerstein, National Institute of Allergy and Infectious Diseases (United States)


Published in SPIE Proceedings Vol. 11317:
Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging
Andrzej Krol; Barjor S. Gimi, Editor(s)

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