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Year:: 2015
Contributor:: Tuomi, Adam (author); Wu, Jie Ying (author); Beland, Michael (author); Konrad, Joseph (author); Glidden, David (author); Grand, David (author); Merck, Derek (advisor); Brown University. (affiliation)
Subject:: Machine learning; Diagnostic imaging; Computer-aided diagnosis

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Abstract:: In current medical practice, an ultrasound guided, random needle biopsy of the liver is the gold standard in hepatic steatosis assessment. Ultrasound imaging is used to place a needle into the patient’s liver, and extract a core of tissue for pathologist examination. This procedure carries a risk of potentially life threatening bleeding, and thus substitution of a needle biopsy with a non-invasive alternative could reduce adverse events. We have developed a machine learning algorithm for analyzing ultrasound (US) images quantitatively to provide computer-aided diagnosis of hepatic steatosis. We built the algorithm using liver US studies from 288 patients, and correlated to their corresponding biopsy assessments. Radiologists identified a region of interest (ROI) on each image which was then filtered for various texture responses. These texture responses formed the parameterization for the machine learning algorithms which, along with the pathology-confirmed diagnoses, were used to train classifiers. Testing with cross-validation, we were able to classify US images as steatotic or normal with sensitivities of 40-74%, and specificities of 72-86%
Notes:: Scholarly concentration: Medical Technology and Innovation

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Tuomi, Adam, Wu, Jie Ying, Beland, Michael, et al., "Quantitative computational estimation of liver steatosis based on parameters derived from diagnostic ultrasound" (2015). Warren Alpert Medical School Academic Symposium. Brown Digital Repository. Brown University Library. https://repository.library.brown.edu/studio/item/bdr:581418/

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Warren Alpert Medical School Academic Symposium

The Warren Alpert Medical School Academic Symposium is an annual event at Warren Alpert Medical School of Brown University that provides Year II medical students a venue to present their summer research in a poster format. Participation in the Symposium …
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Quantitative computational estimation of liver steatosis based on parameters derived from diagnostic ultrasound