Liver Ultrasound Texture Analysis: The Computer Finds More to Quantify Than Meets the Eye

Published:April 25, 2019DOI:https://doi.org/10.1016/j.acra.2019.03.013
      In the present study, “Quantification of Degree of Liver Fibrosis Using Fibrosis Area Fraction Based on Statistical Chi-Square Analysis of Heterogeneity of Liver Tissue Texture on Routine Ultrasound Images,” authors Li et al developed a computer algorithm to perform an objective task that is typically performed subjectively by radiologists (
      • Li J.
      • Qureshi M.
      • Gupta A.
      • et al.
      Quantification of degree of liver fibrosis using fibrosis area fraction based on statistical chi-square analysis of heterogeneity of liver tissue texture on routine ultrasound images.
      ). The computer algorithm quantified the degree of liver coarseness (referred to by the authors as “fibrosis area fraction”) using images from routinely performed clinical ultrasound. The study included 100 adult human patients, all of whom had a liver biopsy as a gold reference standard. The study compared the difference in “fibrosis area fraction” between two histologic groups: moderate to severe fibrosis (METAVIR F4-6) and zero to mild fibrosis (METAVIR F0-3).
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