Abstract IA08: Theragnostics & external beam radiation dose absorbed - Similarities, differences and thoughts for the future
Notice bibliographique
Résumé
Abstract External Beam Radiotherapy (EBRT) and theragnostics share a key core characteristic – the use of radiation to exert its therapeutic benefit. However, the role radiation dose absorbed plays is significantly different between these two modalities in clinical practice. On the one hand it is a critical element of EBRT prescriptions (e.g. cGy), while on the other it is not even a requirement to document in theragnostic practices, where prescriptions are expressed as administered activities (e.g. GBq). Radiation dose absorbed by tumor and normal tissues is recognized to be variable across patients. It is acknowledged to be a critical metric in the safe use of radiopharmaceuticals and is required for all first in human studies and a priority for the development of any novel radiopharmaceutical. The process of individualized dosimetry is well described, enabling radiation dose absorbed estimates to regions of interest. There is an active debate currently as to when, in whom and how individualized dosimetry should be incorporated into clinical practice. The lack of high quality evidence to support radiation dose absorbed to patient outcomes, the lack of standardized methodologies to enable comparability of dose absorbed data across institutions, the burden on patients to return for dosimetry scans post treatment, the burden on the health care system to incorporate individualized dosimetry into treatment workflows and the lack of reimbursement codes for these activities are the main barriers cited against routine clinical use. In this session, we will review some of the theoretical and logistic considerations as well as evidence behind this debate. We will also take a broader view, of theragnostics as a rapidly growing modality, that patients and their oncology teams would need radiation absorbed dose information when considering “re-irradiation”, be it re-challenge with theragnostics, or to provide safety estimates when using different forms of radiation along patients’ cancer journey in the real world. Through a recently completed multi-center trial as a case study, we will review the processes involved in setting up individualized dosimetry across four academic institutions and our subsequent transition into standard of care. We will discuss the value of radiation dose information for our patients, at the systems and academic levels. Finally, we will consider radiation dose absorbed in the future of theragnostics - as a prognostic factor for response and toxicity, as a factor in understanding the mechanism of treatment resistance, as a strategy to create novel dosing approaches and as part of combined modality to strive for superior patient outcomes. We propose that we are at a critical time, where a collaborative strategy across theragnostic practices is critical. The adoption of the reporting of radiation dose absorbed as a quality metric, blending lessons learned across theragnostics and EBRT will set the stage for the future with excellent quality of care and accelerated discoveries for our patients. (458 words). Citation Format: Rebecca K.S. Theragnostics & external beam radiation dose absorbed - Similarities, differences and thoughts for the future. [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Translating Targeted Therapies in Combination with Radiotherapy; 2025 Jan 26-29; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(2_Suppl):Abstract nr IA08
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 | 0,005 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,036 | 0,028 |
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 ».