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Record W2395374609

A para-testicular primitive neuroectodermal tumor in an adult: a case report and literature review.

2000· article· en· W2395374609 on OpenAlexaff
Don Cohen, Kelsey C. Zorn, C. Bernard, Radhika Rajan, I W Kuzmarov

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsPrimitive neuroectodermal tumorMedicineVincristinePathologyDifferential diagnosisCyclophosphamideBiopsyNeuroectodermal tumorChemotherapyImmunohistochemistryGenitourinary systemInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: The authors describe the salient clinical, radiologic and histopathologic features of an extremely rare para-testicular primitive neuroectodermal tumor in a 25 year-old man. INTERVENTION: Excisional biopsy of the tumor en bloc was performed. Adjuvant VAdriaC-based chemotherapy (Vincristine, Doxorubicin, and Cyclophosphamide) was given post-operatively. MAIN OUTCOME MEASURES: Histopathologic examination and immunohistochemical studies were performed on formaldehyde-fixed, paraffin-embedded tumor tissue. RESULTS: Histologic examination showed an undifferentiated small cell tumor. The tumor cells stained positively with MIC-2, a marker specific for primitive neuroectodermal tumors. The patient is 12 months post surgery and has completed adjuvant chemotherapy with no evidence of recurrent disease. CONCLUSIONS: This highly unusual, peripheral primitive neuroectodermal tumor should be considered in the differential diagnosis of undifferentiated small cell neoplasms of the genitourinary system in adults, from the kidney to the testicle. We present a patient with a PNET treated based on a Ewing's family of tumors protocol.

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)0.001
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.014
GPT teacher head0.267
Teacher spread0.253 · 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

Citations1
Published2000
Admission routes1
Has abstractyes

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