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A multi-institutional comparison of retrospective deformable dose accumulation for online adaptive magnetic resonance-guided radiotherapy.
Murr, Martina; Bernchou, Uffe; Bubula-Rehm, Edyta; Ruschin, Mark; Sadeghi, Parisa; Voet, Peter; Winter, Jeff D; Yang, Jinzhong; Younus, Eyesha; Zachiu, Cornel; Zhao, Yao; Zhong, Hualiang; Thorwarth, Daniela.
Afiliación
  • Murr M; Section for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Germany.
  • Bernchou U; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
  • Bubula-Rehm E; Laboratory of Radiation Physics, Odense University Hospital, Denmark.
  • Ruschin M; Elekta AB, Stockholm, Sweden.
  • Sadeghi P; Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
  • Voet P; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
  • Winter JD; Elekta AB, Stockholm, Sweden.
  • Yang J; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
  • Younus E; Department of Radiation Physics, the University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Zachiu C; Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
  • Zhao Y; Department of Radiation Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Zhong H; University Medical Centre Utrecht, Department of Radiotherapy, 3584 CX Utrecht, the Netherlands.
  • Thorwarth D; Department of Radiation Physics, the University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Phys Imaging Radiat Oncol ; 30: 100588, 2024 Apr.
Article en En | MEDLINE | ID: mdl-38883145
ABSTRACT
Background and

Purpose:

Application of different deformable dose accumulation (DDA) solutions makes institutional comparisons after online-adaptive magnetic resonance-guided radiotherapy (OA-MRgRT) challenging. The aim of this multi-institutional study was to analyze accuracy and agreement of DDA-implementations in OA-MRgRT. Material and

Methods:

One gold standard (GS) case deformed with a biomechanical-model and five clinical cases consisting of prostate (2x), cervix, liver, and lymph node cancer, treated with OA-MRgRT, were analyzed. Six centers conducted DDA using institutional implementations. Deformable image registration (DIR) and DDA results were compared using the contour metrics Dice Similarity Coefficient (DSC), surface-DSC, Hausdorff-distance (HD95%), and accumulated dose-volume histograms (DVHs) analyzed via intraclass correlation coefficient (ICC) and clinical dosimetric criteria (CDC).

Results:

For the GS, median DDA errors ranged from 0.0 to 2.8 Gy across contours and implementations. DIR of clinical cases resulted in DSC > 0.8 for up to 81.3% of contours and a variability of surface-DSC values depending on the implementation. Maximum HD95%=73.3 mm was found for duodenum in the liver case. Although DVH ICC > 0.90 was found after DDA for all but two contours, relevant absolute CDC differences were observed in clinical cases Prostate I/II showed maximum differences in bladder V28Gy (10.2/7.6%), while for cervix, liver, and lymph node the highest differences were found for rectum D2cm3 (2.8 Gy), duodenum Dmax (7.1 Gy), and rectum D0.5cm3 (4.6 Gy).

Conclusion:

Overall, high agreement was found between the different DIR and DDA implementations. Case- and algorithm-dependent differences were observed, leading to potentially clinically relevant results. Larger studies are needed to define future DDA-guidelines.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Phys Imaging Radiat Oncol Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Phys Imaging Radiat Oncol Año: 2024 Tipo del documento: Article País de afiliación: Alemania