Timing of End-of-Treatment PET Scans and Impact on Subsequent Testing in Diffuse Large B-Cell Lymphoma
Notice bibliographique
Résumé
Introduction: First-line treatment of diffuse large B-cell lymphoma (DLBCL) consists of chemoimmunotherapy followed by end-of-treatment (EOT) positron-emission tomography (PET) scan to assess response. However, EOT PET has a high false-positive rate, thus, positive results must be followed by further testing to clarify response status, either by tissue biopsy or repeat PET. Excess testing can be invasive, expose to radiation, and increase costs. Guidelines suggest waiting minimum 3 weeks, preferably at least 6 weeks from last chemotherapy to perform PET, to avoid false-positives from post-treatment inflammation. However, this recommendation is primarily based on mouse models, and the optimal timing of EOT PET, and its potential impact on follow-up testing, has never been examined. We hypothesized that shorter time from last chemotherapy to EOT PET increases the risk of follow-up testing without impacting patient outcomes. Methods: We conducted a retrospective cohort study using population-level administrative health data of all patients in Ontario, Canada, ≥18 years old with DLBCL, who received frontline rituximab-based chemoimmunotherapy followed by PET within 16 weeks of last chemotherapy from October 2009-April 2023. Primary exposure of interest was time from last chemoimmunotherapy to EOT PET, with short time to PET defined as ≤6 weeks, and long time to PET >6 weeks. Sensitivity analysis modelling time from last chemotherapy to PET continuously as restricted cubic splines was performed. Primary outcome was follow-up testing, defined as either repeat PET or tissue biopsy within 6 months of EOT PET. Time to PET and follow-up testing was modelled with cause-specific hazard models, adjusting for age, sex, income, comorbidities, year of PET, number of treatment cycles, radiotherapy, and accounting for clustering by institution. Cancer-specific survival from last chemoimmunotherapy cycle was examined by univariate and multivariable cause-specific hazard models. Difference in median 30-day costs in the 12 months post-PET scan in Canadian dollars (CAD) was estimated by quantile regression. Results: A total of 5129 individuals with DLBCL had EOT PET scan following first-line treatment; 2982 (58%) had short time to PET (≤6 weeks), 2147 (42%) had long time to PET (>6 weeks). Patients with short time to PET were younger (mean 61.7 vs 63.7 years, standardized mean difference (SMD)=0.13), with less comorbidities (mean aggregated diagnosis groups 9.4 versus 9.8, SMD=0.13). Other characteristics were similar between groups. Overall, 1120 PETs and 1074 biopsies were performed in the 6 months following EOT PET. Patients with short time to PET had 717 repeat PETs (24 per 100 persons), 22% had ≥1 repeat PET, versus 403 PETs (18.8 per 100 persons), and 17% with ≥1 repeat PET in the long time to PET group. There were 643 biopsies (16.7% with ≥1 biopsy) versus 431 (16.2% with ≥1 biopsy), in short versus long time to PET. Short time to PET was associated with a higher risk of follow-up testing, with unadjusted hazard ratio (HR) of 1.15 (95% CI 1.03-1.29, p-value=0.014) and adjusted HR 1.13 (95% CI 1.01-1.26, p-value=0.033). Cumulative incidence of follow-up testing at 6 months was 32.4% (95% CI 30.8-34.1%) versus 28.7% (95% CI 26.8-30.6%) for short and long time to PET, respectively. Sensitivity analysis modelling time to PET continuously using restricted cubic splines showed similar results, with higher risk of follow-up testing for each week from last chemotherapy up until approximately 6 weeks, after which the risk was not significantly different from the 6-week mark. Sensitivity analysis using Fine-Gray model to account for competing risk of death showed similar results. There was no difference in cancer-specific death between short versus long time to PET in univariate (p-value=0.18) or multivariable analyses (p-value=0.85). Short time to PET was associated with $216.33 CAD (95% CI $91.03-$341.63, p-value<0.001) higher median 30-day costs compared to long time to PET. Median 30-day costs were $1549.36 versus $1332.41 CAD, respectively. Conclusions:Short time to PET from last chemotherapy increases the risk of follow-up testing compared to long time to PET, increases healthcare costs, despite no impact on cancer-specific survival. Specifically, 6 weeks or longer appears to be the optimal time to wait from the last chemotherapy to mitigate this risk.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,027 | 0,051 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,010 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».