Determination of reliable whole-lung CT features for robust standard radiomics and delta-radiomics analysis in a crab-eating macaque model of COVID-19: stability and sensitivity analysis

Marcelo A. Castro; Syed Reza; Winston T. Chu; Dara Bradley; Ji Hyun Lee; Ian Crozier; Philip J. Sayre; Byeong Y. Lee; Venkatesh Mani; Thomas Friedrich; David O'Connor; Courtney Finch; Gabriella Worwa; Irwin M. Feuerstein; Jens Kuhn; Jeffrey Solomon

doi:10.1117/12.2607154

4 April 2022 Determination of reliable whole-lung CT features for robust standard radiomics and delta-radiomics analysis in a crab-eating macaque model of COVID-19: stability and sensitivity analysis

Marcelo A. Castro, Syed Reza, Winston T. Chu, Dara Bradley, Ji Hyun Lee, Ian Crozier, Philip J. Sayre, Byeong Y. Lee, Venkatesh Mani, Thomas Friedrich, David O'Connor, Courtney Finch, Gabriella Worwa, Irwin M. Feuerstein, Jens Kuhn, Jeffrey Solomon

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Proceedings Volume 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging; 1203621 (2022) https://doi.org/10.1117/12.2607154
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

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Abstract

As of 14 December 2021, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), caused nearly 269 million confirmed cases and almost 5.3 million deaths worldwide. Chest computed tomography (CT) has high diagnostic sensitivity for the detection of pulmonary disease in COVID-19 patients. Toward timely and accurate clinical evaluation and prognostication, radiomic analyses of CT images have been explored to investigate the correlation of imaging and non-imaging clinical manifestations and outcomes. Delta (∆) radiomics optimally performed from pre-infection to the post-critical phase, requires baseline data typically not obtained in clinical settings; additionally, their robustness is affected by differences in acquisition protocols. In this work, we investigated the reliability, sensitivity, and stability of whole-lung radiomic features of CT images of nonhuman primates either mock-exposed or exposed to SARS-CoV-2 to study imaging biomarkers of SARS-CoV-2 infection. Images were acquired at a pre-exposure baseline and post-exposure days, and lung fields were segmented. The reliability of radiomic features was assessed, and the dynamic range of each feature was compared to the maximum normal intra-subject variation and ranked.

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Marcelo A. Castro, Syed Reza, Winston T. Chu, Dara Bradley, Ji Hyun Lee, Ian Crozier, Philip J. Sayre, Byeong Y. Lee, Venkatesh Mani, Thomas Friedrich, David O'Connor, Courtney Finch, Gabriella Worwa, Irwin M. Feuerstein, Jens Kuhn, and Jeffrey Solomon "Determination of reliable whole-lung CT features for robust standard radiomics and delta-radiomics analysis in a crab-eating macaque model of COVID-19: stability and sensitivity analysis", Proc. SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1203621 (4 April 2022); https://doi.org/10.1117/12.2607154

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