Impact of<sup>18</sup>F-FDG PET/CT on the staging and management of follicular lymphoma
Bibliographic record
Abstract
Follicular lymphoma (FL) is the most common indolent lymphoma. Despite the evidence-based utilization of fluorine-18 fludeoxyglucose positron emission tomography ((18)F-FDG PET)/CT in aggressive lymphomas, the utility of PET in FL remains controversial and varies across different jurisdictions. The management of patients with FL differs from aggressive lymphomas and is usually reserved for patients with localized disease in whom long-term control may potentially be achieved by involved field radiotherapy, or for symptomatic patients with advanced-stage disease in whom systemic therapy is indicated. There is a growing body of literature supporting the use of PET/CT in initial staging of FL to guide management decisions. In this review, we summarize the existing literature and present cases from our experience to illustrate current knowledge on the potential role of (18)F-FDG PET/CT in FL.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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".