Establishing a fingerprinting method for fast catheter identification in HDR brachytherapy in vivo dosimetry.

Brachytherapy Dwell-time In vivo dosimetry Interstitial catheter Source tracking

Journal

Brachytherapy
ISSN: 1873-1449
Titre abrégé: Brachytherapy
Pays: United States
ID NLM: 101137600

Informations de publication

Date de publication:
27 Jan 2024
Historique:
received: 06 07 2022
revised: 23 08 2023
accepted: 06 10 2023
medline: 29 1 2024
pubmed: 29 1 2024
entrez: 28 1 2024
Statut: aheadofprint

Résumé

To use quantities measurable during in vivo dosimetry to build unique channel identifiers, that enable detection of brachytherapy errors. Treatment plan of 360 patients with prostate cancer who underwent high-dose-rate brachytherapy (range, 16-25 catheters; mean, 17) were used. A single point virtual dosimeter was placed at multiple positions within the treatment geometry, and the source-dosimeter distance and dwell time were determined for each dwell position in each catheter. These values were compared across all catheters, dwell position by dwell position, simulating a treatment delivery. A catheter was considered uniquely identified if, for a given dwell position, no other catheters had the same measured values. The minimum number of dwell positions needed to identify a specific catheter and the optimal dosimeter location uniquely were determined. The radial (r) and vertical (z) dimensions of the source-dosimeter distance were also examined for their utility in discriminating catheters. Using a virtual dosimeter with no uncertainties, all catheters were identified in 359 of the 360 cases with 9 dwell position measurements. When only the dwell time were measured, all catheters were uniquely identified after 1 dwell position. With a 2-mm spatial accuracy (r,z), all catheters were identified in 94% of the plans. Simultaneous measurement of source-dosimeter distance and dwell time ensured full catheter identification in all plans ranging from 2 to 6 dwell positions. The number of dwell positions needed to uniquely identify all catheters was lower when the distance from the implant center was higher. The most efficient fingerprinting approach involved combining source-dosimeter distance (i.e., source tracking) and dwell time. The further the dosimeter is placed from the center of the implant the better it can uniquely identify catheters.

Identifiants

pubmed: 38281894
pii: S1538-4721(23)01675-6
doi: 10.1016/j.brachy.2023.10.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Daline Tho (D)

Centre Intégré De Cancérologie, CHU De Québec, Université Laval, Centre De Recherche Chu De Québec, Québec, Canada; Département De Physique, De Génie Physique Et D'optique, Centre De Recherche Sur Le Cancer, Québec, Canada. Electronic address: daline.tho.1@ulaval.ca.

Cédric Bélanger (C)

Centre Intégré De Cancérologie, CHU De Québec, Université Laval, Centre De Recherche Chu De Québec, Québec, Canada; Département De Physique, De Génie Physique Et D'optique, Centre De Recherche Sur Le Cancer, Québec, Canada.

Erik B Jørgensen (EB)

Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.

Jérémie Tanguay (J)

Centre Intégré De Cancérologie, CHU De Québec, Université Laval, Centre De Recherche Chu De Québec, Québec, Canada; Département De Physique, De Génie Physique Et D'optique, Centre De Recherche Sur Le Cancer, Québec, Canada.

Haydee M L Rosales (HML)

Centre Intégré De Cancérologie, CHU De Québec, Université Laval, Centre De Recherche Chu De Québec, Québec, Canada; Département De Physique, De Génie Physique Et D'optique, Centre De Recherche Sur Le Cancer, Québec, Canada.

Sam Beddar (S)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Jacob G Johansen (JG)

Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.

Gustavo Kertzscher (G)

Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.

Marie-Claude Lavallée (MC)

Centre Intégré De Cancérologie, CHU De Québec, Université Laval, Centre De Recherche Chu De Québec, Québec, Canada; Département De Physique, De Génie Physique Et D'optique, Centre De Recherche Sur Le Cancer, Québec, Canada.

Luc Beaulieu (L)

Centre Intégré De Cancérologie, CHU De Québec, Université Laval, Centre De Recherche Chu De Québec, Québec, Canada; Département De Physique, De Génie Physique Et D'optique, Centre De Recherche Sur Le Cancer, Québec, Canada.

Classifications MeSH