Comparison of automated quantification of amyloid deposition between PMOD and Heuron

Several programs are widely used for clinical and research purposes to automatically quantify the degree of amyloid deposition in the brain using positron emission tomography (PET) images. Given that very few studies have investigated the use of Heuron, a PET image quantification software approved f...

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Bibliographic Details
Published in:Scientific reports 2023-06, Vol.13 (1), p.9891-9891, Article 9891
Main Authors: Roh, Hyun Woong, Son, Sang Joon, Hong, Chang Hyung, Moon, So Young, Lee, Sun Min, Seo, Sang Won, Choi, Seong Hye, Kim, Eun-Joo, Cho, Soo Hyun, Kim, Byeong Chae, Park, Seongbeom, Song, Soohwa, An, Young-Sil
Format: Article
Language:English
Subjects:
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Alzheimer Disease - diagnostic imaging
Alzheimer's disease
Amyloid - metabolism
Amyloid beta-Peptides - metabolism
Amyloidogenic Proteins
Aniline Compounds
Automation
Brain - diagnostic imaging
Brain - metabolism
Brain research
Cerebellum
Dementia
Humanities and Social Sciences
Humans
Medicine
multidisciplinary
Neurology
Plaque, Amyloid
Positron emission tomography
Positron-Emission Tomography - methods
ROC Curve
Science
Science (multidisciplinary)
Substantia grisea
Tomography
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Summary:Several programs are widely used for clinical and research purposes to automatically quantify the degree of amyloid deposition in the brain using positron emission tomography (PET) images. Given that very few studies have investigated the use of Heuron, a PET image quantification software approved for clinical use, this study aimed to compare amyloid deposition values quantified from 18 F-flutemetamol PET images using PMOD and Heuron. Amyloid PET data obtained from 408 patients were analysed using each quantitative program; moreover, the standardized uptake value ratios (SUVRs) of target areas were obtained by dividing the standardized uptake value (SUV) of the target region by the SUV of cerebellar grey matter as a reference. Compared with PMOD, Heuron yielded significantly higher SUVRs for all target areas (paired sample t-test, p  
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-36986-5