MétaCan
Menu
Back to cohort

Clinical Utility of Amyloid Imaging in Differential Diagnosis of Atypical/Unclear Dementias and Its Impact on Caregivers (P5.186)

2016· article· en· W2570758374 on OpenAlexaff
Robert Laforce, Mohamed Réda Bensaïdane, Rémi W. Bouchard, Marie‐Pierre Fortin, Michèle Houde, Pedro Rosa‐Neto, Stéphane Poulin, Louis Verret, Jean‐Paul Soucy, Jean‐Mathieu Beauregard

Bibliographic record

VenueNeurology · 2016
Typearticle
Languageen
FieldNeuroscience
TopicBrain Tumor Detection and Classification
Canadian institutionsMcGill UniversityUniversité Laval
Fundersnot available
KeywordsMedicineDifferential diagnosisGerontologyPathology

Abstract

fetched live from OpenAlex

Objective: To study the clinical utility of amyloid imaging in atypical dementia cases and its impact on caregivers. Background: Alzheimer's disease (AD) is characterized by accumulation of fibrillary amyloid plaques in the brain. Several studies have explored the role of positron emission tomography (PET) using amyloid biomarkers which allow in vivo visualization of plaques to distinguish AD pathology from other forms of protein accumulations leading to dementia. However, very few authors have investigated the role of amyloid imaging in the differential diagnosis of atypical/unclear cases that is complex dementia syndromes where even a comprehensive investigation yields no clear diagnosis. Moreover, no studies have investigated its impact on caregivers and their perception of the process. Methods: Using a novel amyloid tracer (NAV4694), we scanned 30 patients with an atypical/unclear dementia syndrome as determined by an experienced behavioral neurologist from a tertiary care center. All patients had a full work-up (i.e., clinical, blood tests, neuropsychological evaluation, structural and functional imaging) yet no certain diagnosis. Amyloid-PETs were either positive or negative based on qualitative and quantitative reads by two independent readers. A questionnaire was given to the treating neurologist to determine whether amyloid imaging allowed a more accurate diagnosis and changed treatment plans. Caregivers were met one month after revelation of diagnosis and completed a questionnaire followed by a standardized interview. Results: A statistically significant increase in confidence levels amongst physicians who ordered amyloid imaging in such cases was found. Revelation of diagnosis to caregivers was associated with better acceptance of the disease as well as a clearer view of future challenges. Conclusions: This study suggests that amyloid imaging is useful in the differential diagnosis of atypical/unclear dementias, and has a positive impact on caregivers. Amyloid-PET is indicated in the investigation of complex, atypical/unclear dementing disorders.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.211
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.327
Teacher spread0.284 · 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 teacher head, 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueNeurologySame topicBrain Tumor Detection and ClassificationFrench-language works237,207