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PET of the Brain with 2-18F-2-desoxi-D-Glucose in Differential Diagnosis of Dystonia and Essential Tremor

2017· article· en· W2785824690 on OpenAlexaff
Vadim Belenky, A. A. Stanzhevsky, О. А. Клиценко, А. А. Скоромец

Bibliographic record

VenueMedical Visualization · 2017
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsTurris (Canada)
Fundersnot available
KeywordsDystoniaEssential tremorNuclear medicineMedicineSoftware packagePositron emission tomographyPsychologyPhysical medicine and rehabilitationSoftwareComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

The purpose. The purpous of the present study is to compare the data of brain PET wih 2-18F-2-desoxi-D-glucose (18-FDG) of patients with dystonia with the results of patients with essential tremor (ET) by analyzing the data with the help of the new calculation method of Z-score of PET results. Materials and methods . In 2010 in journal “Medical Visualization” we published results of PET study with 18-FDG of brain of 11 patients, which have been divided in two groups: the group with dystonia – 7 patients and the group with essential tremor – 4 patients. Glucose metabolism was studied by means of Siemens Exacthigh resolution tomograph. The results were presented in semi quantitative form of percentage of change of glucose metabolism, without comparison with the healthy control. The calculation has been done by means of software package SPM2, installated to the personal computer (OS Windows 2000). Later the Advantage Workstation of the same tomograph, used for the study, was equipped by software package Cortex ID that allows automatic structural and functional analyzes of PET visualization of the brain in comparison with the scans of control group of the same age. The results of such comparison are calculated by this program in the equation of Z-score, that is calculated automatically by special program for each brain zone. In present study we applied Z-score for analyzing again the comparison of the PET results of these two disorders. The group of essential tremor remained the same and included 4 patients studied before. As to the second group of dystonia, we added to it 3 new patients, studied since aforementioned study of 2010, the whole group of D rising up to ten patients. In order to level the conditions of our research, we also compared the former group of dystonia of 7 patients with the group of essential tremor by means of Z-score method. Results . We have detected reliable difference between the group of dystonia and the group of essential tremor, presented in the form of different changes of glucose metabolism in 4 brain zones – left thalamus, right nucleus lentiformis, girus cingularis and the pons. Such result has not changed when we also compared the former staff of dystonia group of 7 patients with essential tremor group. Conclusion. The study has confirmed efficacy PET in differential diagnosis of extrapyramidal disorders and of Z-score method in PET investigations by means of establishing of the correspondence of cinical heterogeneity to PET heterogeneity.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.013
GPT teacher head0.312
Teacher spread0.298 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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