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Record W1985912877 · doi:10.14740/jocmr1886w

Renal Cell Carcinoma Metastasis to the Gallbladder Detected by FDG-PET/CT

2014· article· en· W1985912877 on OpenAlexvenueno aff
Win

Bibliographic record

VenueJournal of Clinical Medicine Research · 2014
Typearticle
Languageen
FieldMedicine
TopicCholangiocarcinoma and Gallbladder Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGallbladderRenal cell carcinomaMetastasisRadiologyDifferential diagnosisCholecystectomyAbdominal painCarcinomaCancerPathologyInternal medicine

Abstract

fetched live from OpenAlex

A 62-year-old male presented to the ER with three episodes of diffuse abdominal pain which occurred after eating. He had a history of renal cell carcinoma (RCC), prostate cancer and bladder cancer. FDG-PET/CT scan showed a hypermetabolic soft tissue density within the fundus of the gallbladder. The patient underwent laparoscopic cholecystectomy and surgical pathology revealed clear cell type RCC. This is the first report that features PET/CT imaging to detect RCC metastasis to the gallbladder. Lesions within the gall bladder and their clinical manifestations can be non-specific and PET/CT can help characterize them. RCC metastasis to the gallbladder is very rare but it should be included in the differential diagnosis, especially in patients with a history of RCC. J Clin Med Res. 2014;6(6):482-486 doi: http://dx.doi.org/10.14740/jocmr1886w Correction in J Clin Med Res. 2015;7(5):368-368, doi: http://dx.doi.org/10.14740/jocmr2146e

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)0.016
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.141
GPT teacher head0.459
Teacher spread0.318 · 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
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

Citations13
Published2014
Admission routes1
Has abstractyes

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