Added predictive value of 18F-FDG PET/CT for pediatric rhabdomyosarcoma
Bibliographic record
Abstract
OBJECTIVE: To determine the prognostic value of quantitative fluorine-18-fluorodeoxyglucose (F-FDG) standardized uptake value (SUV) in patients with pediatric rhabdomyosarcoma (RMS). PATIENTS AND METHODS: Consecutive 98 (50 males and 48 females) (age range: 4 months to 17.5 years, mean age: 5.8 ± 4.5) patients with pathologically proven RMS who underwent PET/computed tomography for initial staging were retrospectively assessed for whether primary SUVmax and the primary/liver SUVmax ratio could predict event-free survival (EFS) and overall survival (OS) for 36 months using receiver operating characteristic curve analysis. Univariate and multivariate analyses were used to determine the reliability of these metabolic parameters and various clinical factors. RESULTS: Higher SUVmax was significantly related to the presence of regional or distant metastasis with worse prognosis. With receiver operating characteristic curve marked cut-off values of 3.6 and 2.1 for primary SUVmax and the primary/liver SUVmax ratio, respectively, both EFS and OS proved to be higher in patients with SUVmax ranked below the determinate values. Patients with a primary/liver SUVmax ratio below the cut-off value of 2.1 had OS (60.8%) and EFS (48.1%) compared with 44.5 and 14.8% for patients with lesions exceeding the cut-off point of uptake; however, this failed to achieve statistical significance. In the evaluation of primary SUVmax, similar results were obtained with P values of 0.76 and 0.62, respectively. High SUVmax was more prevalent among patients with less favorable clinical and pathological features including unfavorable primary site, alveolar pathology, and high-risk group. CONCLUSION: F-FDG PET/computed tomography may be considered an additional prognostic predictor of outcome in RMS patients, where higher F-FDG uptake seems to be linked to lower survival and correlated to different unfavorable parameters.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".