Using the gamma-index analysis for inter-fractional comparison of in-beam PET images for head-and-neck treatment monitoring in proton therapy: A Monte Carlo simulation study

• Published in: Physica medica 2024-04, Vol.120, p.103329-103329, Article 103329
• Main Authors: Kraan, Aafke Christine, Moglioni, Martina, Battistoni, Giuseppe, Bersani, Davide, Berti, Andrea, Carra, Pietro, Cerello, Piergiorgio, Ciocca, Mario, Ferrero, Veronica, Fiorina, Elisa, Mazzoni, Enrico, Morrocchi, Matteo, Muraro, Silvia, Orlandi, Ester, Pennazio, Francesco, Retico, Alessandra, Rosso, Valeria, Sportelli, Giancarlo, Vischioni, Barbara, Vitolo, Viviana, Bisogni, Maria Giuseppina
• Format: Article
• Language: English
• Subjects: Computer Simulation; Etoposide; FLUKA MC simulations; Humans; In-beam PET; In-time verification; Monte Carlo Method; Morphological changes; Over-time detection; Positron-Emission Tomography - methods; Proton therapy; Proton Therapy - methods; Radiotherapy Dosage; Radiotherapy Planning, Computer-Assisted - methods; Tomography, X-Ray Computed - methods
• ISSN: 1120-1797; 1724-191X
• DOI: 10.1016/j.ejmp.2024.103329

In-beam Positron Emission Tomography (PET) is a technique for in-vivo non-invasive treatment monitoring for proton therapy. To detect anatomical changes in patients with PET, various analysis methods exist, but their clinical interpretation is problematic. The goal of this work is to investigate whether the gamma-index analysis, widely used for dose comparisons, is an appropriate tool for comparing in-beam PET distributions. Focusing on a head-and-neck patient, we investigate whether the gamma-index map and the passing rate are sensitive to progressive anatomical changes. We simulated a treatment course of a proton therapy patient using FLUKA Monte Carlo simulations. Gradual emptying of the sinonasal cavity was modeled through a series of artificially modified CT scans. The in-beam PET activity distributions from three fields were evaluated, simulating a planar dual head geometry. We applied the 3D-gamma evaluation method to compare the PET images with a reference image without changes. Various tolerance criteria and parameters were tested, and results were compared to the CT-scans. Based on 210 MC simulations we identified appropriate parameters for the gamma-index analysis. Tolerance values of 3 mm/3% and 2 mm/2% were suited for comparison of simulated in-beam PET distributions. The gamma passing rate decreased with increasing volume change for all fields. The gamma-index analysis was found to be a useful tool for comparing simulated in-beam PET images, sensitive to sinonasal cavity emptying. Monitoring the gamma passing rate behavior over the treatment course is useful to detect anatomical changes occurring during the treatment course. •For the first time the gamma-index method was applied to simulated in-beam PET images.•A patient that gradually changed during the treatment course was considered.•The monitoring PET images were compared with a reference image without changes.•How anatomical changes are visible in the gamma-index map depends on the field.•The gamma passing rate decreased with increasing cavity emptying volume.