Recommendations for an Approach to Random Skin Biopsy in the Diagnosis of Intravascular B-Cell Lymphoma
Bibliographic record
Abstract
Intravascular B-Cell Lymphoma (IVBCL) is a rare type of extranodal large B-cell lymphoma where clonal B-cells selectively home to and replicate in the lumen of small vessels. Random skin biopsy (RSB) of uninvolved skin is a reputable tool to diagnose this protean entity and thus dermatologists are involved in its diagnosis. A literature review was completed to derive an approach to RSB in these patients to maximize diagnostic yield of IVBCL and minimize morbidity. Based on this review, data from 27 patients where clinical signs and symptoms and results of investigations were able to be linked to a positive diagnosis of IVBCL from RSB from 11 papers from 2003 to 2021 were analyzed. Following this analysis, RSB should be considered when there are no clinical skin findings and there is an elevated lactate dehydrogenase in the absence of lymphadenopathy and presence of fever of unknown origin, thrombocytopenia, anemia, and ferritinemia. Three to four RSBs from the thigh, abdomen and/or posterior upper arm should be performed via either incisional or telescoping punch biopsies and should include senile/cherry angioma(s) if present. If RSB results in a diagnosis of IVBCL, hematology should be consulted for further management. Consideration of a false negative biopsy or alternative diagnoses should be explored if RSB is negative for IVBCL. Following a standard approach for RSB in these patients will increase diagnostic yield of IVBCL while decreasing the risk of harm to the patient.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".