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Record W2594850516 · doi:10.2967/jnumed.116.187203

Inter- and Intraobserver Agreement of <sup>18</sup>F-FDG PET/CT Image Interpretation in Patients Referred for Assessment of Cardiac Sarcoidosis

2017· article· en· W2594850516 on OpenAlexaff
Hiroshi Ohira, Brian Mc Ardle, Robert A. deKemp, Pablo B. Nery, Daniel Juneau, Jennifer M. Renaud, Ran Klein, Owen Clarkin, Karen MacDonald, Eugene Leung, Girish M. Nair, Rob Beanlands, David H. Birnie

Bibliographic record

VenueJournal of Nuclear Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicSarcoidosis and Beryllium Toxicity Research
Canadian institutionsOttawa HospitalCentre Hospitalier de l’Université de MontréalUniversity of Ottawa
Fundersnot available
KeywordsMedicineCardiac sarcoidosisNuclear medicineRadiologySarcoidosisPositron emission tomographyCoronary artery diseaseStandardized uptake valueInternal medicine

Abstract

fetched live from OpenAlex

Recent studies have reported the usefulness of <sup>18</sup>F-FDG PET in aiding with the diagnosis and management of patients with cardiac sarcoidosis (CS). However, image interpretation of <sup>18</sup>F-FDG PET for CS is sometimes challenging. We sought to investigate the inter- and intraobserver agreement and explore factors that led to important discrepancies between readers. <b>Methods:</b> We studied consecutive patients with no significant coronary artery disease who were referred for assessment of CS. Two experienced readers masked to clinical information, imaging reports, independently reviewed <sup>18</sup>F-FDG PET/CT images. <sup>18</sup>F-FDG PET/CT images were interpreted according to a predefined standard operating procedure, with cardiac <sup>18</sup>F-FDG uptake patterns categorized into 5 patterns: none, focal, focal on diffuse, diffuse, and isolated lateral wall or basal uptake. Overall image assessment was classified as either consistent with active CS or not. <b>Results:</b> One hundred scans were included from 71 patients. Of these, 46 underwent <sup>18</sup>F-FDG PET/CT with a no-restriction diet (no-restriction group), and 54 underwent <sup>18</sup>F-FDG PET/CT with a low-carbohydrate, high-fat and protein-permitted diet (low-carb group). There was agreement of the interpretation category in 74 of 100 scans. The κ-value of agreement among all 5 categories was 0.64, indicating moderate agreement. For overall clinical interpretation, there was agreement in 93 of 100 scans (κ = 0.85). When scans were divided into the preparation groups, there was a trend toward higher agreement in the low-carb group versus the no-restriction group (80% vs. 67%, <i>P</i> = 0.08). Regarding the overall clinical interpretation, there was also a trend toward greater agreement in the low-carb group versus the no-restriction group (96% vs. 89%, <i>P</i> = 0.08). <b>Conclusion</b>: The interobserver agreement of cardiac <sup>18</sup>F-FDG uptake image patterns was moderate. However, agreement was better regarding overall interpretation of CS. Detailed prescan dietary preparation seemed to improve interobserver agreement.

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)0.002
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 score0.151
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.056
GPT teacher head0.380
Teacher spread0.324 · 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

Citations51
Published2017
Admission routes1
Has abstractyes

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