Correlation between molecular and histopathological diagnoses of B cell lymphomas in bone marrow biopsy and aspirates
Bibliographic record
Abstract
AIMS: PCR has been shown previously to be the most sensitive technique to detect a clonal population in marrow aspirates (MAs), and the clinical standard for evaluation of bone marrow lymphoma involvement today is bone marrow trephine biopsy (BMTB). The goal of this study was to compare morphological evaluation of B cell neoplasm in BMTB (histology and immunohistochemistry) and PCR analysis in MA, with both specimens obtained at the same time, in patients with a known molecular marker of the disease. METHODS: This was a retrospective evaluation of 98 consecutive BMTB specimens from 60 patients with a known B-cell neoplasm and a previous PCR marker of the disease (BCL2 and/or IGH). RESULTS: Considering the IGH PCR cases alone, a B cell clone was detected in 85% and 39% of the morphology (M) positive and negative groups, respectively. Five M(+), IGH(-) cases were found, including two cases of follicular lymphoma (FL), one case of diffuse large B cell lymphoma, and two cases of mantle cell lymphoma. The FLs had about 20% and 50% of BMTB involvement each. All other cases had minimal lymphoma localisation. The two FLs were also BCL2-MBR(+). Use of BCL2-MBR detected all M(+) cases and 66% of M(-) cases whenever it was an initial marker of disease. CONCLUSIONS: IGH PCR alone is not good enough for BMTB assessment, especially in FL. On the other hand, the PCR study for BCL2 is more sensitive than morphology, without any false negative results in this series, suggesting that BCL2-MBR PCR on MA can be used as an alternative and more sensitive examination for disease evaluation, providing that there is careful analysis of data, adequate knowledge of PCR pitfalls and absence of other haematological disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".