The role of bone marrow evaluation in the staging of patients with otherwise localized, low‐risk neuroblastoma
Bibliographic record
Abstract
BACKGROUND: Bone marrow aspirations and biopsies are standard staging procedures for neuroblastoma because the tumor frequently metastasizes to the bone marrow. The presence of bone marrow metastases indicates stage 4 or 4S neuroblastoma by International Neuroblastoma Staging System (INSS) criteria; these stages are also associated with other metastatic sites of disease. We questioned whether bone marrow studies changed the staging or treatment of children with localized, completely resected tumors if there was no other evidence of metastatic spread. If stage of disease rarely changed with bone marrow results, it might be possible to avoid this procedure in a subset of patients with neuroblastoma. PROCEDURE: The staging studies of patients with INSS stage 1 (n = 29), 4 (n = 60), and 4S (n = 13) neuroblastoma from two institutions were reviewed. RESULTS: There were no patients upstaged from stage 1 to 4 or 4S by bone marrow metastases alone. Fifty-nine of 60 stage 4 patients had other sites of metastases on imaging studies, the remaining patient had an unresectable primary tumor and marrow disease. All subjects with stage 4S disease had liver metastases. CONCLUSIONS: Bone marrow studies did not contribute data that changed the stage of patients who had surgically resectable tumors and no evidence of metastatic spread on imaging studies. When present, metastatic spread to the marrow was associated with advanced local tumors or other sites of metastatic disease. Given the relatively small size of our study population, further studies are warranted that investigate the utility of bone marrow studies for patients who otherwise have INSS stage 1 neuroblastoma.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".