Reducing patient-specific QA workload through statistical process control and complexity metrics.

Date publication

juin 2026

Journal

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

Auteurs

Membres identifiés du Cancéropôle Est :
Dr MEYER Philippe

Tous les auteurs :
Bartolucci L, Richert A, Azhar HE, Jarnet D, Niederst C, Arbor F, Dehaynin N, Meyer P

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/42335518

Résumé

Patient-specific quality assurance (PSQA) for VMAT treatments represents a significant workload. This study presents an integrated approach combining plan complexity metrics with statistical process control (SPC) to safely reduce PSQA burden while maintaining robust process monitoring.

Mots clés

Beta distribution, Gamma index, Patient-specific quality assurance, Plan complexity metrics, ROC analysis, Statistical process control, VMAT, Workload reduction

Référence

Phys Med. 2026 06 23;148:105863