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Record W2732772092 · doi:10.1097/pai.0000000000000490

Liver Metastases From Renal Oncocytoma With Vascular Extension

2017· article· en· W2732772092 on OpenAlexaff
Giovanni Cacciamani, Luca Cima, Miriam Ficial, Giovanni Novella, Salvatore Siracusano, Umberto Tedeschi, Matteo Balzarro, Umberto Montin, Maria Angela Cerruto, Vincenzo De Marco, Antonio Benito Porcaro, Ondřej Hes, Antonia D’Errico, Guido Martignoni, Claudio Ghimenton, Gianluigi Zaza, Walter Artibani, Matteo Brunelli, Albino Eccher

Bibliographic record

VenueApplied immunohistochemistry & molecular morphology · 2017
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsSDHBSDHDMedicinePathologyCD117EosinophilicRenal oncocytomaMetastasisLoss of heterozygosityKidneyOncocytomaKidney diseaseCancerImmunohistochemistryBiologyInternal medicineMutationGermline mutation

Abstract

fetched live from OpenAlex

The 2016 World Health Organization Renal Tumor Classification defines renal oncocytoma (RO) as a benign epithelial tumor; however, malignant histopathologic features have been documented. Rare cases with metastases have been reported. We describe the case of a 62-year-old woman who was referred to the Urology Clinic for a routine work-up. Magnetic resonance imaging and computerized tomography showed a 7-cm mass in the middle and lower portions of the left kidney and 2 suspected liver metastases. The patient underwent surgery. Microscopically both renal and liver lesions presented solid, solid-nested, and microcystic architecture, composed predominantly of large eosinophilic cells without any worrisome pattern except the vascular extension. The cells were positive for S100A1, CD117, and PAX-8 and negative for CAIX, CK7, and AMACR. Fluorescence in situ hybridization showed a disomic profile for the chromosomes 1, 2, 6, 7, 10, 17. No mutation of coding sequence of the SDHB, SDHC, SDHD, VHL, and BHD genes and no loss of heterozygosity at 3p were found. The final diagnosis was "RO" according to the 2016 World Health Organization Renal Tumor Classification with "liver metastases." This report provides a wide clinical-pathologic, immunophenotypical and molecular documentation of a RO with liver metastases.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.257
Teacher spread0.243 · 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 designBench or experimental
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

Citations10
Published2017
Admission routes1
Has abstractyes

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