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Record W2093295253 · doi:10.1097/mnm.0b013e3283617d5b

The role of single-photon emission computed tomography/computed tomography in localizing parathyroid adenoma

2013· review· en· W2093295253 on OpenAlexaff
Dhruba J. Dasgupta, Shaunak Navalkissoor, Rakesh Ganatra, John Buscombe

Bibliographic record

VenueNuclear Medicine Communications · 2013
Typereview
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsSingle-photon emission computed tomographyEmission computed tomographyComputed tomographyMedicineTomographyRadiologyNuclear medicineParathyroid adenomaComputed tomography laser mammographyScintigraphyPreclinical imagingPositron emission tomographyHyperparathyroidismInternal medicine

Abstract

fetched live from OpenAlex

With hybrid imaging playing an increasingly important role in nuclear medicine, this article reviews the literature on single-photon emission computed tomography/computed tomography (SPECT/CT) in parathyroid scintigraphy. An understanding of parathyroid and neck anatomy is important for accurate reporting of these scans, as this can have an impact on the surgical approach used. The contribution of SPECT/CT over and above SPECT alone is greatest in terms of localization, particularly for ectopic tumours. There remains controversy on the role of SPECT/CT in eutopic tumours, especially when considering such factors as imaging time and the additional radiation dose.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.057
GPT teacher head0.332
Teacher spread0.275 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations24
Published2013
Admission routes1
Has abstractyes

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