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Record W4234139276 · doi:10.5858/2005-129-1159-pch

Pulmonary Crystal-Storing Histiocytoma

2005· article· en· W4234139276 on OpenAlexaff
Diana N. Ionescu, Diane M. Pierson, Gefei Qing, Maomi Li, Thomas V. Colby, Kevin O. Leslie

Bibliographic record

VenueArchives of Pathology & Laboratory Medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging and Pathology Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsHistiocyteHistiocytosisPathologyPlasma cell dyscrasiaDifferential diagnosisLungMedicineDyscrasiaPlasma cellAntibodyChemistryImmunoglobulin light chainImmunologyInternal medicineBone marrow

Abstract

fetched live from OpenAlex

Abstract We describe the case of a 50-year-old woman with a lung tumor composed of crystal-storing histiocytes. These cells and associated plasma cells failed to show clonal light chain restriction, and the patient had no associated hematologic disorder. The differential diagnosis included crystal-storing histiocytosis, characterized by accumulation of crystallized immunoglobulins, a rare manifestation of monoclonal gammopathies/plasma cell dyscrasias. Crystal-laden histiocytes have previously been described in many organs. Four reports have described crystal-storing histiocytosis in the lung, always associated with a lymphoproliferative disorder. The present patient, 1 other case from our archive, and 1 case reported in the literature, all without an association with lymphoproliferative disorder, make a full description and definition of this lesion appropriate. The morphology, immunohistochemical profile, and electron microscopic features are described herein, and the term pulmonary crystal-storing histiocytoma is proposed. A practical algorithm is presented for the assessment of solitary lung masses composed of large histiocytic cells.

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.020
GPT teacher head0.296
Teacher spread0.275 · 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

Citations44
Published2005
Admission routes1
Has abstractyes

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