Primary Cutaneous Peripheral T-Cell Lymphoma-Not Otherwise Specified, Initially Misdiagnosed as Mycosis Fungoides: A Case Report and Literature Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This report describes the case of a 52-year-old male who presented with a four-month history of multiple hyperpigmented lesions, predominantly affecting the trunk and upper limbs. On physical examination, numerous hyperpigmented patches and plaques were observed, with the largest lesion located on the right flank. Systemic examination revealed hepatomegaly, splenomegaly (tip of the spleen palpable), and right inguinal lymphadenopathy. The patient had no history of fever, weight loss, or other chronic illness. Initially, he was labelled as a case of mycosis fungoides; however, a repeat cutaneous biopsy, along with a lymph node biopsy, established the diagnosis of Primary Cutaneous Peripheral T-Cell Lymphoma – Not Otherwise Specified (pcPTCL-NOS). The patient was treated with six cycles of the CHOP regimen, resulting in initial resolution of the lesions. A post-chemotherapy PET scan showed no evidence of residual disease. This case emphasizes the importance of a comprehensive clinical evaluation, as the patient's acute history and systemic involvement hinted towards a far more aggressive disease process. Through a series of investigations, the correct diagnosis was made, facilitating the timely initiation of appropriate management.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it