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Record W2005502943 · doi:10.1007/s10227-004-0127-3

Metastatic Zosteriform Squamous Cell Carcinoma in an Immunocompetent Patient

2004· article· en· W2005502943 on OpenAlexaff
Joel L. Cohen, Benjamin Barankin, David Zloty, George R. Mikhail

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2004
Typearticle
Languageen
FieldMedicine
TopicCancer Diagnosis and Treatment
Canadian institutionsUniversity of British ColumbiaUniversity of Alberta
Fundersnot available
KeywordsMedicineImmunohistochemistryPathologyTrigeminal nerveBasal cellMetastasisH&E stainDermatologyCancerSurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Although described in several reports of internal malignancies metastasizing to the skin, zosteriform metastases have been reported in only two cases of cutaneous squamous cell carcinoma (SCC). In both of these reports, the patients were immunosuppressed related to renal transplantation. OBJECTIVE: We present a case of an immunocompetent patient with zosteriform metastases originating from a recurrent cutaneous SCC. The lesions were present along the maxillary division of the trigeminal nerve. METHODS: Biopsies from eight lesions were studied using hematoxylin and eosin (H&E) and with immunohistochemistry. RESULTS: Neural involvement was detected in H&E preparations before and during excision of the metastatic nodules by Mohs micrographic surgery. The tumor cells reacted with antikeratin antibodies. The patient has had no evidence of recurrence or metastases 30 months following surgery. CONCLUSION: To our knowledge, this is the first case of cutaneous SCC with zosteriform metastases in a patient with an intact immune system. SCC should be included in the differential diagnosis of lesions presenting in a dermatomal distribution.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.470

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.267
Teacher spread0.240 · 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.

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

Citations3
Published2004
Admission routes1
Has abstractyes

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