Back to Search
Start Over
A kinetics-based approach to amyloid PET semi-quantification
- Source :
- European Journal of Nuclear Medicine and Molecular Imaging, Vol. 47, No 9 (2020) pp. 2175-2185
- Publication Year :
- 2020
-
Abstract
- To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. Besides, it takes advantage on the availability of early scans which are becoming common practice while imposing a negligible added patient discomfort.
- Subjects :
- Tracer kinetic
Amyloid
Amyloid PET
Fluorinated tracer
Semi-quantification
Tracer kinetics
Amyloid pet
Image processing
ddc:616.0757
030218 nuclear medicine & medical imaging
03 medical and health sciences
symbols.namesake
0302 clinical medicine
Alzheimer Disease
Visual assessment
Humans
Radiology, Nuclear Medicine and imaging
Mathematics
Aniline Compounds
business.industry
Brain
Pattern recognition
General Medicine
Amyloidosis
Pearson product-moment correlation coefficient
ddc:616.8
Kinetics
030220 oncology & carcinogenesis
Positron-Emission Tomography
symbols
Artificial intelligence
business
Semi quantitative
Subjects
Details
- Language :
- English
- ISSN :
- 16197070
- Database :
- OpenAIRE
- Journal :
- European Journal of Nuclear Medicine and Molecular Imaging, Vol. 47, No 9 (2020) pp. 2175-2185
- Accession number :
- edsair.doi.dedup.....c31a084957c8725de8d7f8a868bb7455