Interim Positron Emission Tomography (PET) in Diffuse Large B-Cell Lymphoma: Independent Expert Nuclear Medicine Evaluation of ECOG 3404
Bibliographic record
Abstract
Abstract Background: Positive interim PET scans have been associated with inferior outcomes in DLBCL treated with chemotherapy, alone or with rituximab. In the ECOG 3404 study for bulky and advanced DLBCL, PET scans at baseline and after 3 R-CHOP are centrally reviewed by a single reader; those with positive scans cross-over to R-ICE after 4 R-CHOP, whereas those with negative scans continue on R-CHOP. The primary endpoint of E3404 is progression-free survival. To determine the reproducibility of interim PET scan interpretation, we convened an expert panel. Methods: Three external nuclear medicine physicians visually scored baseline and interim PET scans independently and blinded to other clinical information or outcome. ECOG study criteria were binary (0,1) based on residual disease in initially involved sites with uptake greater than the liver. London criteria were on a scale of 0–5, where 4–5 was positive, based on increased uptake relative to the liver. Overall scores and agreement among experts were evaluated for both criteria, with application of the kappa statistic to correct for chance. Results: Using the ECOG criteria, external reviewers were in complete agreement in 68% of 38 interim scans and completely agreed with the central review in the same 68% cases. Agreement among the experts was 71% employing the London criteria in these cases. The range of PET+ interim scans by reviewer was 16.8% to 34.2% (p=NS) by both ECOG and London criteria. The kappa statistic for overall pairwise correlation between readers was 0.445 (0.396–0.533) using ECOG and 0.502 (0.396–0.630) using London criteria – indicating moderate consistency. Areas of disagreement often, but not exclusively, related to bone disease, the shape and focality of residual uptake, splenic disease, and rare scans without CT-fusion. Conclusions: These data show that visual criteria, either ECOG or London in this series, for interim PET results are moderately reproducible among individual nuclear medicine experts. Our finding of variability among experts indicates the need for caution in interpreting interim PET results in studies and in practice. Review of all E3404 cases is planned after accrual is completed (projected 12/08). Other ongoing studies evaluating interim PET after 1–3 cycles of therapy, the application of quantitative criteria, and consensus panels may provide further valuable information.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.030 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".