scholarly journals Arterial Spin-Labeling Assessment of Normalized Vascular Intratumoral Signal Intensity as a Predictor of Histologic Grade of Astrocytic Neoplasms

2013 ◽  
Vol 35 (3) ◽  
pp. 482-489 ◽  
Author(s):  
J. Furtner ◽  
V. Schöpf ◽  
K. Schewzow ◽  
G. Kasprian ◽  
M. Weber ◽  
...  
Keyword(s):  
Signal Intensity ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Histologic Grade ◽  
Astrocytic Neoplasms

scholarly journals Ventilation-perfusion ratio of signal intensity in human lung using oxygen-enhanced and arterial spin labeling techniques

2002 ◽  
Vol 48 (2) ◽  
pp. 341-350 ◽  
Author(s):  
Vu M. Mai ◽  
Benjamin Liu ◽  
Jason A. Polzin ◽  
Wei Li ◽  
Saban Kurucay ◽  
...  
Keyword(s):  
Signal Intensity ◽  
Arterial Spin Labeling ◽  
Human Lung ◽  
Spin Labeling ◽  
Ventilation Perfusion Ratio

scholarly journals NI-15 Comparison of amide proton transfer imaging with perfusion imaging of using arterial spin-labeling for evidence of tumor cells in glioma

2021 ◽  
Vol 3 (Supplement_6) ◽  
pp. vi20-vi21
Author(s):  
Takahiro Yamauchi ◽  
Ryuhei Kitai ◽  
Hideto Umeda ◽  
Yu Tsukinowa ◽  
Ryota Hagihara ◽  
...  
Keyword(s):  
Linear Regression ◽  
Proton Transfer ◽  
Cell Density ◽  
Signal Intensity ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Vessel Density ◽  
Amide Proton ◽  
Tumor Infiltration ◽  
Apt Imaging

Abstract BACKGROUND: Infiltrative gliomas show cerebral edema and tumor infiltration as areas of hyperintensity in FLAIR image. Amide proton transfer (APT) and cerebral blood flow (CBF) are useful for evaluating the tumor invasion. In this study, arterial spin-labeling (ASL)-CBF and APT were compared to determine which method was superior for predicting tumor infiltration in gliomas, pathologically. METHODS: Fifteen specimens from 5 glioma patients with confirmed selective sampling were obtained. Based on APT signal intensity (SI), regions of interests (ROIs) were selected for biopsy. Same regions of these ROIs were marked on the same slice of ASL imaging. Samples were pathologically assessed for cell density and vessel density. APT SI and ASL-CBF were analyzed for each specimen. RESULTS: APT signal intensity (SI) showed a strong correlation with cell density (R = 0.887, P < 0.0001). ASL-CBF showed no correlation with cell density (R = 0.240; P = 0.3836) but a correlation with vessel density (R = 0.697; P = 0.0038). In linear regression analysis, APT SI showed a positive relationship with cell density (R2 = 0.787, P < 0.0001, linear regression; y = 30.70 + 6.24E-3*x). CONCLUSIONS: APT imaging was superior in predicting cellular proliferation than ASL-CBF and a powerful predictor of cell density. APT imaging allowed revelation of novel clues reflecting tumor proliferation in brain tumor; to date, this is the first known report to assess cell density among various brain tumors and conditions after treatment.

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