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Record W3139393232 · doi:10.1161/str.52.suppl_1.p339

Abstract P339: Evaluating Ga68 Regional Distribution as a New Pet Tracerfor Diagnosis Cerebral Amyloid Angiopathy

2021· article· en· W3139393232 on OpenAlexaffabout
Qihui Zhang, Xiaobin Zhao, Hank F. Kung, Zhi Yang, Lin Zhu, Peng Lei, Shujing Wang, Hua Zhu, Haiyan Hong, Yunyun Duan, Li Sun, Jianwei Pan, Xiangxi Meng, Xingquan Zhao, Andrew M. Demchuk, Eric E. Smith, Yongjun Wang

Bibliographic record

VenueStroke · 2021
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineCerebral amyloid angiopathyPittsburgh compound BStandardized uptake valueAmyloid (mycology)Nuclear medicineMontreal Cognitive AssessmentPathologyPositron emission tomographyDementiaPathologicalDisease

Abstract

fetched live from OpenAlex

Introduction: The deposition of β-amyloid in cerebral vessels is an important sign of CAA. Recently, the 68Ga-P14-032 has been used in animal research. It has the ability to selectively bind a β on the cerebral vessel wall, and may become a tracer for CAA. hypothesis: We aimed to investigate the distribution of [ 68 Ga]Ga-P14-032, a novel PET ligand that binds to vascular amyloid, in patients diagnosed clinically with probable cerebral amyloid angiopathy (CAA). Methods: This longitudinal cohort study of 7 subjects (2 probable CAA patients, 2 AD patients, 3 normal subjects) recruited from clinics in China. All participants were aged at least 55 years with underwent [ 68 Ga]Ga-P14-032 PET/CT and PET/MR, a Montreal Cognitive Assessment (Moca) score on initial assessment. The brain PET/CT and PET/MR scans assessed through quantitative analysis. The mean cortical standardized uptake value ratio (SUVr) was calculated using cerebellum as reference. The cortex and white matter were segmented with ITK-Snap based on a T1-weighed image as the mask, leaving the scalp and the blood vessels out of the regions of interest. The corresponding PET volumes were extracted according to the masks obtained on MR and were fused with the MR images, using a MATLAB script. The images were read and interpreted by 2 doctors in nuclear medicine.Plasma levels of total-tau, amyloid-b40 and amyloid-b42 were measured by a single molecule array (Simoa) SR-X analyzer (Quanterix). Results: Positive expression can be seen in the pathological part of microvascular in 2 CAA patients of whom had an ICH. No significant signal was seen in AD subjects or controls. Plasma levels of total-tau, amyloid-b40 and amyloid-b42 were not different among the groups. Conclusions: Our results provide early evidence that the [68Ga]Ga-P14-032 PET probe binds preferentially to vascular amyloid, and may be a useful tracer to diagnostic of CAA. The PET marker was more sensitive to group differences than plasma assays of tau and amyloid.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.341
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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