TY - GEN
T1 - Comparison of quantitative ultrasound parameters for fat content liver detection and monitoring
AU - Muleki-Seya, Pauline
AU - Han, Aiguo
AU - Andre, Michael P.
AU - Erdman, John W.
AU - O'Brien, William D.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/31
Y1 - 2017/10/31
N2 - Quantitative ultrasound parameter estimates from the Lizzi-Feleppa (LF slope, intercept and midband) and quantitative ultrasound (mean BSC, mean AC, ESD and EAC) approaches were compared for in vivo and ex vivo mouse liver fat content monitoring. The quantitative ultrasound parameters having the higher correlations with fat content were EAC (R2=0.68), mean BSC (R2=0.60), mean AC (R2=0.60) and LF midband (R2=0.70) for ex vivo conditions and mean BSC (R2=0.45), LF midband (R2=0.44) and mean AC (R2=0.37) for in vivo conditions. By defining a threshold fat content of 11.6% between normal vs. fatty mouse livers, the parameters yielding the better sensitivities and specificities to differentiate normal and fatty liver ex vivo were the mean AC (sensitivity=1, specificity=1), then mean BSC and LF midband (sensitivity=0.87, specificity=1). In vivo, the parameters yielding the better sensitivities and specificities to differentiate normal vs. fatty liver were mean BSC and LF midband (sensitivity=0.93, specificity=0.87) and then the mean AC (sensitivity=0.67, specificity=0.93).
AB - Quantitative ultrasound parameter estimates from the Lizzi-Feleppa (LF slope, intercept and midband) and quantitative ultrasound (mean BSC, mean AC, ESD and EAC) approaches were compared for in vivo and ex vivo mouse liver fat content monitoring. The quantitative ultrasound parameters having the higher correlations with fat content were EAC (R2=0.68), mean BSC (R2=0.60), mean AC (R2=0.60) and LF midband (R2=0.70) for ex vivo conditions and mean BSC (R2=0.45), LF midband (R2=0.44) and mean AC (R2=0.37) for in vivo conditions. By defining a threshold fat content of 11.6% between normal vs. fatty mouse livers, the parameters yielding the better sensitivities and specificities to differentiate normal and fatty liver ex vivo were the mean AC (sensitivity=1, specificity=1), then mean BSC and LF midband (sensitivity=0.87, specificity=1). In vivo, the parameters yielding the better sensitivities and specificities to differentiate normal vs. fatty liver were mean BSC and LF midband (sensitivity=0.93, specificity=0.87) and then the mean AC (sensitivity=0.67, specificity=0.93).
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U2 - 10.1109/ULTSYM.2017.8092439
DO - 10.1109/ULTSYM.2017.8092439
M3 - Conference contribution
AN - SCOPUS:85039449213
T3 - IEEE International Ultrasonics Symposium, IUS
BT - 2017 IEEE International Ultrasonics Symposium, IUS 2017
PB - IEEE Computer Society
T2 - 2017 IEEE International Ultrasonics Symposium, IUS 2017
Y2 - 6 September 2017 through 9 September 2017
ER -