Name
Abstract | ||
|---|---|---|
•A histogram analysis of the Ktrans permeability imaging derived from the T2* DSC-PW-MRI through entire tumor volume was proposed.•Histogram parameters of Ktrans measurements exhibited significant results for high- and low-grade glioma differentiation and correlations with glioma grades.•Ktrans reflects vascular permeability, supporting that angiogenesis with BBB permeability breakdown is increased in a high-grade tumor compared with that in a low-grade tumor.•Histogram metrics of vascular permeability and blood volume in the T2* DSC-PW-MRI measurements exhibit a reliable correlation with tumor grade on the basis of the heterogeneity of the entire tumor volume. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cmpb.2017.11.011 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Permeability imaging,Tumor grading,Cerebral glioma,Histogram analysis | Nuclear medicine,Computer vision,Histogram,Vascular permeability,Computer science,Pharmacokinetics,Glioma,Blood plasma volume,Artificial intelligence,Tumor Grading,Magnetic resonance imaging | Journal |
Volume | ISSN | Citations |
155 | 0169-2607 | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hua-shan Liu | 1 | 7 | 3.22 |
| Shih-Wei Chiang | 2 | 0 | 0.34 |
| Hsiao-Wen Chung | 3 | 5 | 1.19 |
| Ping-Huei Tsai | 4 | 0 | 0.34 |
| Fei-Ting Hsu | 5 | 0 | 0.34 |
| Nai-Yu Cho | 6 | 0 | 0.34 |
| Chao-Ying Wang | 7 | 0 | 0.34 |
| Ming-Chung Chou | 8 | 46 | 2.79 |
| Cheng-Yu Chen | 9 | 68 | 10.76 |