Abstract #1177
Accurate Quantitative Assessment of Synovitis in Rheumatoid Arthritis Using Pixel by Pixel, Time-Intensity Curve Shape Analysis
Taro Sakashita 1 , Tamotsu Kamishima 2 , Hiroyuki Sugimori 3 , Meiki Tou 4 , Atsushi Noguchi 5 , Michihito Kawano 6 , and Tatsuya Atsumi 5
1
Graduate School of Health Sciences, Hokkaido
University, Sapporo, Hokkaido, Japan,
2
Faculty
of Health Sciences, Hokkaido University, Hokkaido,
Japan,
3
Department
of Radiology, Hokkaido University Hospital, Hokkaido,
Japan,
4
Graduate
School of Health Sciences, Hokkaido University,
Hokkaido, Japan,
5
Internal
Medicine 2, Hokkaido University Hospital, Hokkaido,
Japan,
6
Obihiro-Kosei
General Hospital, Hokkaido, Japan
We hypothesized that pixel by pixel, time-intensity
curve (TIC) shape analysis can accurately quantify the
pannus of rheumatoid patents. Area of enhancing pannus
(AEP) measurement via segmentation using thresholding
(AEP_THRES) and via pixel by pixel TIC analysis
(AEP_TIC) was compared by setting the volume of
enhancing pannus (VEP) by manual contouring (AEP_MANUAL)
as gold standard to evaluate accuracy of VEP
quantification. Correlation coefficient between AEP_TIC
and AEP_MANUAL was evaluated as better than that of
AEP_THRES and AEP_MANUAL in the wrist region. Pixel by
pixel TIC analysis may be an alternative to manual
contouring for pannus quantification in the hand.
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