| Literature DB >> 30014313 |
Kuo-Lun Huang1,2, Jung-Lung Hsu1,2,3, Kun-Ju Lin4,5, Chien-Hung Chang1,2, Yi-Ming Wu6, Ting-Yu Chang1,2, Yeu-Jhy Chang1,2, Chi-Hung Liu1,2, Meng-Yang Ho7, Shiaw-Pyng Wey4,5, Tzu-Chen Yen4,5, Nobuyuki Okamura8,9, Ing-Tsung Hsiao10,11, Tsong-Hai Lee12,13.
Abstract
BACKGROUND: The 18F-THK-5351 radiotracer has been used to detect the in vivo tau protein distribution in patients with tauopathy, such as Alzheimer's disease and corticobasal syndrome. In addition, 18F-THK-5351 can also monitor neuroinflammatory process due to high affinity to astrogliosis. We aimed to explore 18F-THK-5351 distribution patterns and characteristics in patients with recent ischemic stroke.Entities:
Keywords: 18F-THK-5351; Astrogliosis; Diffusion tensor imaging; Ischemic stroke; Neuroinflammation; Positron emission tomography
Year: 2018 PMID: 30014313 PMCID: PMC6047954 DOI: 10.1186/s13550-018-0417-1
Source DB: PubMed Journal: EJNMMI Res Impact factor: 3.138
The demographic data and stroke clinical patterns for each patient
| Case | Age | Sex | OCSP | MRS | Vascular territory | Vascular risk factors |
|---|---|---|---|---|---|---|
| 1 | 65 | F | TACS | 3 | MCA | HTN, dyslipidemia, DM, Af |
| 2 | 76 | M | TACS | 4 | MCA | Af |
| 3 | 72 | F | POCS | 2 | PCA | Dyslipidemia, DM |
| 4 | 61 | M | POCS | 1 | PCA | HTN, dyslipidemia |
| 5 | 70 | M | PACS | 2 | MCA | HTN, gout, Af |
| 6 | 67 | M | PACS | 2 | MCA | HTN, dyslipidemia |
| 7 | 66 | F | PACS | 4 | MCA | HTN, dyslipidemia, DM |
| 8 | 59 | M | PACS | 1 | MCA | HTN, dyslipidemia |
| 9 | 78 | F | PACS | 2 | MCA | HTN, DM |
| 10 | 80 | F | LACS | 1 | MCA | HTN, CAD |
| 11 | 61 | M | LACS | 1 | MCA | HTN, dyslipidemia, gout |
| 12 | 67 | F | LACS | 3 | MCA | HTN, dyslipidemia |
| 13 | 67 | M | LACS | 1 | MCA | HTN, dyslipidemia, DM, CAD |
| 14 | 75 | F | LACS | 1 | MCA | HTN, dyslipidemia |
| 15 | 69 | F | POCS | 2 | VBA | HTN, dyslipidemia, DM |
OCSP Oxfordshire Community Stroke Project, MRS Modified Rankin Scale, TACS total anterior circulation syndrome, PACS partial anterior circulation syndrome, LACS lacunar syndrome, POCS posterior circulation syndrome, MCA middle cerebral artery, PCA posterior cerebral artery, VBA vertebrobasilar artery, HTN hypertension, Af atrial fibrillation, DM diabetes mellitus, CAD coronary artery disease
Fig. 118F-THK-5351 retention patterns in an ischemic stroke patient (case 6). a The acute ischemic location on diffusion-weighted imaging (DWI). b, c The FLAIR images and 18F-THK-5351 PET images taken 3 months after stroke, respectively. d The fused DWI and 18F-THK-5351 PET images. Common off-target binding of the 18F-THK-5351 is observed in the bilateral striatum, thalamus, and brainstem. Additionally, the 18F-THK-5351 retention is asymmetrically increased in the remote and peri-infarct areas and decreased in the infarct core
Fig. 2Multi-modality imaging characteristics in the patient (case 5) with a left frontal cortical infarction on diffusion-weighted imaging (DWI) (a). Low 18F-THK-5351 uptake is noted in the ischemic core, and high uptake is noted in the peri-ischemic area over the corona radiata, the genu of the corpus callosum, and in the bilateral frontal areas (b, c). The ROI for 18F-THK-5351 retention is drawn in the peri-ischemic area, and a mirrored ROI is placed in the contralateral hemisphere as the control (d). There is a decreased fractional anisotropy (FA) on diffusion tensor imaging (e) (filled arrow) in the peri-ischemic area with increased 18F-THK-5351 retention as compared to the contralateral side (empty arrow). No corresponding white matter change is noted on the follow-up FLAIR image (f)
The proportional 18F-THK-5351 SUVR and diffusion tensor imaging parameters
| Case | Proportional THK-5351 SUVR | Proportional fractional anisotropy | Proportional mean diffusivity | Proportional axial diffusivity | Proportional radial diffusivity |
|---|---|---|---|---|---|
| 1 | 2.125 | 0.91 | 1.135 | 1.116 | 1.149 |
| 2 | 1.552 | 0.864 | 0.998 | 0.963 | 1.031 |
| 3 | 2.289 | 0.717 | 0.995 | 0.913 | 1.053 |
| 4 | 2.297 | 0.666 | 1.257 | 1.227 | 1.273 |
| 5 | 1.687 | 0.712 | 1.178 | 1.045 | 1.3 |
| 6 | 1.683 | 0.833 | 1.009 | 0.975 | 1.035 |
| 7 | 1.794 | 0.836 | 0.946 | 0.921 | 0.963 |
| 8 | 1.78 | 0.805 | 1.163 | 1.065 | 1.264 |
| 9 | 1.556 | 0.83 | 1.042 | 0.999 | 1.077 |
| 10 | 1.406 | 0.931 | 1.006 | 0.993 | 1.016 |
| 11 | 1.183 | 0.876 | 1.038 | 0.999 | 1.07 |
| 12 | 1.898 | 0.801 | 1.138 | 1.079 | 1.186 |
| 13 | 1.848 | 0.961 | 0.99 | 0.967 | 1.01 |
| 14 | 1.422 | 0.907 | 1.022 | 0.988 | 1.052 |
| 15 | 1.264 | 0.875 | 1.066 | 1.026 | 1.1 |
SUVR standardized uptake value ratio
Fig. 3Correlation of the proportional 18F-THK-5351 standardized uptake value ratios (SUVRs) with the proportional fractional anisotropy (FA) values. The proportional 18F-THK-5351 SUVRs are negatively correlated with the proportional FA values, suggesting that peri-ischemic areas with higher 18F-THK-5351 retention have worse microstructural arrangements