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Record W2053397252 · doi:10.1097/rlu.0b013e31820ae032

Malignant Perivascular Epithelioid Cell Tumor (PEComa) of the Uterus

2011· article· en· W2053397252 on OpenAlexaff
Anthony Ciarallo, William Makis, Marc Hickeson, Vilma Derbekyan

Bibliographic record

VenueClinical Nuclear Medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicTuberous Sclerosis Complex Research
Canadian institutionsBrandon Regional Health AuthorityRoyal Victoria HospitalMcGill University
Fundersnot available
KeywordsMedicinePerivascular Epithelioid CellImatinib mesylateHysterectomyRadiation therapyRadiologyCarboplatinUterusEpithelioid cellPathologySurgeryChemotherapyImatinibInternal medicineImmunohistochemistry

Abstract

fetched live from OpenAlex

This is a case of a 52-year-old woman who underwent a hysterectomy to treat a large uterine perivascular epithelioid cell tumor. She was followed with serial F-18 FDG PET/CT scans due to positive surgical margins and vascular invasion on pathology. Initial surveillance PET/CT performed 6 months post surgery was negative; however, a second surveillance PET/CT performed 12 months post surgery showed an intensely FDG-avid recurrence in the pelvic surgical site. The patient received local radiotherapy, 2 cycles of taxol and carboplatin, and was placed on imatinib mesylate (Gleevec). A final PET/CT performed 6 months after initiation of therapy showed rapidly disseminating metastatic disease and the patient died 1 month later. This rare report highlights a potentially new utility of F-18 FDG PET/CT for surveillance of recurrence of a malignant uterine perivascular epithelioid cell tumor, as well as for evaluation of response to therapy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.167
GPT teacher head0.350
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations29
Published2011
Admission routes1
Has abstractyes

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