MétaCan
Menu
Back to cohort
Record W2570121563 · doi:10.5430/jst.v7n1p47

Correlation between Campanacci’s radiological classification of giant cell tumor of bone and expression of Cyclin D1 and PCNA

2017· article· en· W2570121563 on OpenAlexvenueno aff
Eréndira Estrada‐Villaseñor, Hidalgo Bravo Alberto, Cindy Bandala, Paloma De la Garza-Montaño, Reyes Medina Naxieli, Pichardo Bahena Raúl, EA Delgado-Cedillo, LM Linares-González, Genaro Rico-Martínez

Bibliographic record

VenueJournal of Solid Tumors · 2017
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsProliferating cell nuclear antigenCyclin D1ImmunohistochemistryRadiological weaponMedicineCyclinOsteosarcomaPathologyCell cycleRadiologyInternal medicineCancer

Abstract

fetched live from OpenAlex

Giant cell tumor of bone is considered by his behavior a benign but aggressive neoplasm. The objective of our study was to determine if there is a correlation between the Campanacci’s radiological classification of giant cell tumors of bone and the expression by immunohistochemistry of Cyclin D1 and proliferation cell nuclear antibody (PCNA). A retrospective and descriptive study was made. In total, there were 27 cases. All cases showed Cyclin D1 and PCNA positivity. Rho Spearman for Campanacci and Cyclin D1 expression was 0.06 and for Campanacci and PCNA was 0.418. We conclude that there is a positive correlation between PCNA expression in giant cell tumors of Bone and the Campanacci’s radiological classification II and III, butCyclin D1 expression was no related with radiologic features.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.034
GPT teacher head0.307
Teacher spread0.273 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Solid TumorsSame topicBone Tumor Diagnosis and TreatmentsFrench-language works237,207