Abstract #0483
Comparison of DTI and 11C-methionine PET for reliable prediction of tumor cell density in gliomas
Manabu Kinoshita 1 , Hideyuki Arita 2 , Naoki Kagawa 2 , Yoshiyuki Watanabe 3 , Jun Hatazawa 4 , Naoya Hashimoto 2 , and Toshiki Yoshimine 2
1
Neurosurgery, Osaka Medical Center for
Cancer and Cardiovascular Diseases, Osaka, Osaka, Japan,
2
Neurosurgery,
Osaka University Graduate School of Medicine, Suita,
Osaka, Japan,
3
Radiology,
Osaka University Graduate School of Medicine, Suita,
Osaka, Japan,
4
Nuclear
Medicine and Tracer Kinetics, Osaka University Graduate
School of Medicine, Suita, Osaka, Japan
Imaging and predicting tumor cell density or tumor cell
invasion is challenging. The authors have compared
diffusion tensor imaging (DTI) and 11C-methionine PET in
terms of tumor cell density prediction by use of 98
stereotactically sampled glioma tissues from 37
patients. Tumor cell density showed a statistically
significant positive correlation with MET-TNR (p<0.0001,
R2=0.43) and negative correlation with rADC (p=0.0096,
R2=0.09), while rFA did not correlate with tumor cell
density. Multiple regression analysis revealed that
MET-TNR was the solo statistically significant factor
for tumor cell density prediction (MET-TNR: p<0.0001,
rADC: p=0.06).
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