• Application of a machine learning approach to characterization of liver function using 99m Tc-GSA SPECT/CT

    1 month ago - By Springer

    To assess the utility of a machine-learning approach for predicting liver function based on technetium-99 m-galactosyl serum albumin single photon emission computed tomography /CT.
    One hundred twenty-eight patients underwent a 99m Tc-GSA SPECT/CT-based liver function evaluation. All were classified into the low liver-damage or high liver-damage group. Four clinical (age, sex, background liver disease and histological type) and 8 quantitative 99m Tc-GSA SPECT/CT features (receptor index , liver-SUVmax, liver-SUVmean, heart-SUVmax, metabolic volume of liver , total...
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