TY - JOUR
T1 - Liver steatosis assessment
T2 - Correlations among pathology, radiology, clinical data and automated image analysis software
AU - Lee, Michael J.
AU - Bagci, Pelin
AU - Kong, Jun
AU - Vos, Miriam B.
AU - Sharma, Puneet
AU - Kalb, Bobby
AU - Saltz, Joel H.
AU - Martin, Diego R.
AU - Adsay, N. Volkan
AU - Farris, Alton B.
PY - 2013/6
Y1 - 2013/6
N2 - Quantitating hepatic steatosis is important in many liver diseases and liver transplantation. Since steatosis estimation by pathologists has inherent intra- and inter-observer variability, we compared and contrasted computerized techniques with magnetic resonance imaging measurements, pathologist visual scoring, and clinical parameters. Computerized methods applied to whole slide images included a commercial positive pixel count algorithm and a custom algorithm programmed at our institution. For all liver samples (n=59), including pediatric, adult, frozen section, and permanent specimens, statistically significant correlations were observed between pathology, radiology, and each image analysis modality (r=0.75-0.97, p<0.0001), with the strongest correlations in the pediatric cohort. Statistically significant relationships were observed between each method and with body mass index (r=0.37-0.56, p from <0.0001 to <0.05) and with albumin (r=0.55-0.64, p<0.05) but not with alanine aminotransferase or aspartate aminotransferase. Although pathologist assessments correlated (r=0.64-0.86, 0.92-0.97, and 0.78-0.91 for microvesicular, macrovesicular, and overall steatosis, respectively), the absolute values of hepatic steatosis visual assessment were susceptible to intra- and inter-observer variability, particularly for microvesicular steatosis. Image analysis, pathologist assessments, radiology measurements, and several clinical parameters all showed correlations in this study, providing evidence for the utility of each method in different clinical and research settings.
AB - Quantitating hepatic steatosis is important in many liver diseases and liver transplantation. Since steatosis estimation by pathologists has inherent intra- and inter-observer variability, we compared and contrasted computerized techniques with magnetic resonance imaging measurements, pathologist visual scoring, and clinical parameters. Computerized methods applied to whole slide images included a commercial positive pixel count algorithm and a custom algorithm programmed at our institution. For all liver samples (n=59), including pediatric, adult, frozen section, and permanent specimens, statistically significant correlations were observed between pathology, radiology, and each image analysis modality (r=0.75-0.97, p<0.0001), with the strongest correlations in the pediatric cohort. Statistically significant relationships were observed between each method and with body mass index (r=0.37-0.56, p from <0.0001 to <0.05) and with albumin (r=0.55-0.64, p<0.05) but not with alanine aminotransferase or aspartate aminotransferase. Although pathologist assessments correlated (r=0.64-0.86, 0.92-0.97, and 0.78-0.91 for microvesicular, macrovesicular, and overall steatosis, respectively), the absolute values of hepatic steatosis visual assessment were susceptible to intra- and inter-observer variability, particularly for microvesicular steatosis. Image analysis, pathologist assessments, radiology measurements, and several clinical parameters all showed correlations in this study, providing evidence for the utility of each method in different clinical and research settings.
KW - Image analysis
KW - Liver
KW - Magnetic resonance imaging (MRI)
KW - Morphometry
KW - Steatosis
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U2 - 10.1016/j.prp.2013.04.001
DO - 10.1016/j.prp.2013.04.001
M3 - Article
C2 - 23707550
AN - SCOPUS:84878390629
SN - 0344-0338
VL - 209
SP - 371
EP - 379
JO - Pathology Research and Practice
JF - Pathology Research and Practice
IS - 6
ER -