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Record W2117463562 · doi:10.5430/jbgc.v2n1p39

Comparison between 1-compartmental and 2-compartmental model in calculation of myocardium blood flow in 82Rb PET imaging

2012· article· en· W2117463562 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Biomedical Graphics and Computing · 2012
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsReproducibilityNuclear medicineCoefficient of variationBlood flowCircumflexCoronary flow reserveMedicineStandard deviationArteryCardiologyChemistryMathematics

Abstract

fetched live from OpenAlex

Objective: To the best of our knowledge, no comparison between 1-compartmental (1cm) and 2-compartmental (2cm) models in calculation of myocardium blood flow (MBF) and coronary flow reserve (CFR) in 82 Rb PET imaging has been performed. We present our results of comparing 1cm and 2CM in 82 Rb myocardial PET imaging. Methods: Twenty nine patients, mean age 58±9.5 years (mean±standard deviation), were imaged at rest and pharmaco- logical stress, following an i.v. injection of 1850 MBq of 82 Rb each. A GE DLS PET-CT+16 scanner was used in this study. All images were acquired in 2D mode. For each study, 50 frames were acquired. The time per frame was 5sec between 0-3 min, 15sec between 3-5 min and 30 sec between 5-8 min. MBF was calculated by using 1cm and 2cm. The results for global and regional left circumflex artery (LCX), left anterior artery (LAD) and right coronary artery (RCA), rest and stress MBF, and CFR values obtained by 1cm and 2cm were compared by using Bland and Altman method. The reproducibility coefficient was calculated as 1.96 times the standard deviation (SD) of the differences between 1cm and 2cm values. Results: The global rest MBF values, expressed as mean± SD, for both 1cm and 2cm were very similar (0.74 ± 0.17 vs. 0.73 ± 0.17 mL/min/g), and reproducibility was good, 0.12 mL/min/g (16.3% of the mean). The same held true for the 1CM and 2CM stress global MBF values (1.71 ± 0.54 and 1.73 ± 0.50 mL/min/g) with good reproducibility of 0.25 mL/min/g (14.4% of the mean). The regional, LCX, LAD and RCA rest and stress MBF values, obtained by 1cm and 2cm, were marginally reproducible, i.e., 50% or more of the mean. The global CFR values for both 1cm and 2cm were very similar (2.44 ± 0.84 vs. 0.2.44 ± 0.89), and reproducibility was good 0.34 (14.1% of the mean). Conclusions: The MBF and CFR global rest and stress values obtained by 1cm and 2cm were close and reproducible. However, the regional LAD, RCA and LCX rest and stress MBF values showed marginal reproducibility. Limited regional MBF reproducibility may be caused by sampling error and/or cardiac and breathing motion. We believe that the reproducibility of regional values can be improved by data smoothing and motion gating.

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.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.276
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.019
GPT teacher head0.315
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