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Record W2586615869 · doi:10.1097/dad.0000000000000697

Primary Cutaneous Follicular Helper T-cell Lymphoma in a Patient With Neurofibromatosis Type 1: Case Report and Review of the Literature

2017· review· en· W2586615869 on OpenAlexaff
Anastasia Shamsuyarova, Zaid Saeed Kamil, Jan Delabie, Nadya Al-Faraidy, Danny Ghazarian

Bibliographic record

VenueAmerican Journal of Dermatopathology · 2017
Typereview
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsUniversity Health NetworkUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsNeurofibromatosisMedicineLymphomaLymphoproliferative disordersDermatologyPathologyFollicular lymphoma

Abstract

fetched live from OpenAlex

Patients with neurofibromatosis type 1 (NF-1) have a well-known predisposition for certain types of malignancies, including lymphoproliferative disorders. Cutaneous T-cell lymphoma (CTCL) has been reported in patients with NF-1, although it is considered a rare entity in this subset of patients. Cutaneous follicular helper T-cell lymphoma (CTFHCL) is a recently emerged rare subtype of CTCL with peculiar clinical and histopathological features and represents a diagnostic and therapeutic challenge. Only a few cases of CTFHCL have been reported in the literature. We report a case of CTFHCL in a patient with NF-1 and compare our findings with previously reported cases. We aim to raise awareness among pathologists regarding this rare subtype of CTCL and emphasize characteristic histological features of CTFHCL, which can be confused with B-cell lymphomas and lead to mismanagement.

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: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.019
GPT teacher head0.321
Teacher spread0.302 · 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
GenreReview

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

Citations6
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of DermatopathologySame topicCutaneous lymphoproliferative disorders researchFrench-language works237,207