The 3D isodose structure-based method for clinical dose distributions comparison in pretreatment patient-QA.


Journal

Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746

Informations de publication

Date de publication:
Feb 2019
Historique:
received: 05 04 2018
revised: 07 11 2018
accepted: 08 11 2018
pubmed: 20 11 2018
medline: 26 2 2019
entrez: 20 11 2018
Statut: ppublish

Résumé

Before the approval of any Intensity Modulated Radiation Therapy or Volumetric Modulated Arc Therapy treatment plan, quality assurance (QA) tests are needed to reveal potential errors such as an inaccurate calculation of the dose distribution, the failure of the record-and-verify system, or the delivery system of the linear accelerator. Currently, the method adopted to compare the measured dose distribution with the treatment planning system TPS calculated dose distribution is gamma analysis. However, gamma analysis has been shown to be ineffective for the clinical evaluation of treatment plans. We proposed and tested a new method (the isodose structures method) alternative to gamma analysis. Different errors were introduced in 33 error-free Head and Neck plans. The modified plans were recalculated using TPS software and the dose distributions obtained were compared to those of the original (error-free) plans. The comparison was performed using gamma analysis and the new method. The target was to calculate overall and organ-specific gamma passing rates as well as the overlapping ratio (OR) and volume ratio (VR) factors of the isodose structures method for each error-included plan. Eight of the 33 plans passed both the gamma analysis and the isodose structures (IS) analysis, ten plans did not pass either of them, while 13 plans which did not pass the IS analysis, passed the gamma analysis. Two plans which did not pass gamma, passed IS analysis. Furthermore, Dose Volume Histogram (DVH) metrics could not detect the low agreement between the dose distributions of two error-free plans and the respective modified plans. In this case, the IS analysis also allowed us to detect clinically meaningful differences between measured and TPS dose distributions. The IS method analysis clearly showed a high efficiency in detecting clinically relevant differences between TPS and measured dose distributions not seen in gamma analysis and in DVH-based metrics. Therefore, IS analysis proved to be a valid tool, alternative to gamma analysis for dose comparison in patient-specific QA test.

Identifiants

pubmed: 30450559
doi: 10.1002/mp.13297
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

426-436

Informations de copyright

© 2018 American Association of Physicists in Medicine.

Auteurs

Pasquale Tamborra (P)

Department of Medical Physics, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, 70124, Italy.

Erica Martinucci (E)

Department of Medical Physics, Hospital "Vito Fazzi" - Cancer Centre "Giovanni Paolo II", Lecce, 70130, Italy.

Raffaella Massafra (R)

Department of Medical Physics, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, 70124, Italy.

Marco Bettiol (M)

Department of Medical Physics, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, 70124, Italy.

Caterina Capomolla (C)

Department of Medical Physics, Hospital "Vito Fazzi" - Cancer Centre "Giovanni Paolo II", Lecce, 70130, Italy.

Annarita Zagari (A)

Department of Medical Physics, Hospital "Vito Fazzi" - Cancer Centre "Giovanni Paolo II", Lecce, 70130, Italy.

Vittorio Didonna (V)

Department of Medical Physics, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, 70124, Italy.

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