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Multimodality imaging of parotid gland oncocytoma: a pictorial review

2021· review· en· W4200160325 on OpenAlexaff
Simone Sacco, Pascal Lomoro, Francesco Ballati, Dario Boccuzzi, Sara Imparato, Francesca Ruju, Olivia Maria Bottinelli, Barbara Vischioni, Mohssen Ansarin, Lorenzo Preda

Bibliographic record

VenueJournal of Radiological Review · 2021
Typereview
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOncocytomaParotid glandPleomorphic adenomaSalivary glandPathologyMedicineDifferential diagnosisBenign tumorAdenomaImmunohistochemistry

Abstract

fetched live from OpenAlex

Parotid gland tumors include a wide range of entities, ranging from benign lesions such as pleomorphic adenoma and Warthin’s tumor, to aggressive malignant lesions such as carcinoma and lymphomas. Oncocytoma (OC) is a rare benign salivary gland tumor characterized by slow growth over years. It almost exclusively occurs within the parotid gland of elderly, accounting for about 1% of all salivary gland neoplasms. Distinguishing OC from other benign lesions and sometime from malignant lesions can be difficult. This pictorial review examines 8 cases of salivary gland lesions from our institute, including 5 histologically verified oncocytic lesions. We will discuss specifically the MRI and ultrasound appearance of OC regarding diagnostic clues as well as differential diagnoses.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.612
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0120.004
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.088
GPT teacher head0.424
Teacher spread0.336 · 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 designSystematic review
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

Citations0
Published2021
Admission routes1
Has abstractyes

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