Test case 4: Single source centered in a shielded applicator

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Authors: Yunzhi Ma, Javier Vijande, Facundo Ballester, Åsa Carlsson Tedgren, Domingo Granero, Annette Haworth, Firas Mourtada, Gabriel Paiva Fonseca, K. Zourari, Panagiotis Papagiannis, Mark J. Rivard, Frank‐André Siebert
+5 more Ron Sloboda, Ryan L. Smith, Rowan Thomson, Frank Verhaegen, Luc Beaulieu
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Abstract

Task Group 186 provides guidance for commissioning model-based dose calculation algorithms (MBDCAs) in brachytherapy treatment planning systems. TG-186 recommends a two-level commissioning approach, including comparison of absolute dose and 3D dose distributions against reference calculations. To support implementation of these recommendations, the AAPM Working Group on Dose Calculation Algorithms in Brachytherapy developed a set of standardized virtual phantoms and benchmark dose distributions for commissioning high-dose-rate Ir-192 sources. Four test cases were created, as described by Ballester et al. This dataset refers to Test Case 4. Note: This dataset was originally hosted on the IROC platform, as described in the user guide. The files uploaded to Zenodo (version 1) are identical to those previously available from IROC and were transferred without modification to ensure full traceability and continuity with the original reference dataset. Refer to the publication for additional details. Ma Y, Vijande J, Ballester F, Tedgren ÅC, Granero D, Haworth A, Mourtada F, Fonseca GP, Zourari K, Papagiannis P, Rivard MJ, Siebert FA, Sloboda RS, Smith R, Chamberland MJP, Thomson RM, Verhaegen F, Beaulieu L. A generic TG-186 shielded applicator for commissioning model-based dose calculation algorithms for high-dose-rate 192 Ir brachytherapy. Med Phys. 2017 Nov;44(11):5961-5976. https://doi.org/10.1002/mp.12459

Fields of Study & Subjects

Advanced Radiotherapy Techniques Radiation Therapy and Dosimetry Advances in Oncology and Radiotherapy

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 February 2026
Document type
Dataset