HDR prostate brachytherapy plan robustness and its effect on in-vivo source tracking error thresholds: A multi-institutional study.


Journal

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

Informations de publication

Date de publication:
Jun 2022
Historique:
revised: 15 03 2022
received: 18 09 2021
accepted: 17 03 2022
pubmed: 8 4 2022
medline: 11 6 2022
entrez: 7 4 2022
Statut: ppublish

Résumé

The purpose of this study was to examine the effect of departmental planning techniques on appropriate in-vivo source tracking error thresholds for high dose rate (HDR) prostate brachytherapy (BT) treatments, and to determine if a single in-vivo source tracking error threshold would be appropriate for the same patient anatomy. The prostate, rectum, and urethra were contoured on a single patient transrectal ultrasound (TRUS) dataset. Anonymized DICOM files were disseminated to 16 departments who created an HDR prostate BT treatment plan on the dataset with a prescription dose of 15 Gy in a single fraction. Departments were asked to follow their own local treatment planning guidelines. Source positioning errors were then simulated in the 16 treatment plans and the effect on dose-volume histogram (DVH) indices calculated. Change in DVH indices were used to determine appropriate in-vivo source tracking error thresholds. Plans were considered to require intervention if the following DVH conditions occurred: prostate V100% < 90%, urethra D0.1cc > 118%, and rectumtt Dmax > 80%. There was wide variation in appropriate in-vivo source tracking error thresholds among the 16 participating departments, ranging from 1 to 6 mm. Appropriate in-vivo source tracking error thresholds were also found to depend on the direction of the source positioning error and the endpoint. A robustness parameter was derived, and found to correlate with the sensitivity of plans to source positioning errors. A single HDR prostate BT in-vivo source tracking error threshold cannot be applied across multiple departments, even for the same patient anatomy. The burden on in-vivo source tracking devices may be eased through improving HDR prostate BT plan robustness during the plan optimisation phase.

Identifiants

pubmed: 35388456
doi: 10.1002/mp.15658
pmc: PMC9322430
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

3529-3537

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States

Informations de copyright

© 2022 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.

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Auteurs

Joel Poder (J)

Department of Radiation Oncology, St George Cancer Care Centre, Kogarah, New South Wales, Australia.
Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.

Dylan Koprivec (D)

Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.

Yashiv Dookie (Y)

Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.

Andrew Howie (A)

Department of Radiation Oncology, St George Cancer Care Centre, Kogarah, New South Wales, Australia.

Dean Cutajar (D)

Department of Radiation Oncology, St George Cancer Care Centre, Kogarah, New South Wales, Australia.
Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.

Antonio L Damato (AL)

Department of Medical Physics, Memorial Sloan Kettering Cancer Centre, New York, New York, USA.

Nicolas Côté (N)

Department of Medical Physics, Memorial Sloan Kettering Cancer Centre, New York, New York, USA.

Marco Petasecca (M)

Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.

Joseph Bucci (J)

Department of Radiation Oncology, St George Cancer Care Centre, Kogarah, New South Wales, Australia.

Anatoly Rosenfeld (A)

Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.

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Classifications MeSH