Real-time definition of single seed placement sensitivity in low-dose-rate prostate brachytherapy.

Automatic differentiation Dose objective Low-dose-rate prostate brachytherapy Seed placement Sensitivity analysis

Journal

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

Informations de publication

Date de publication:
23 Dec 2023
Historique:
received: 03 08 2023
revised: 16 10 2023
accepted: 16 10 2023
medline: 25 12 2023
pubmed: 25 12 2023
entrez: 24 12 2023
Statut: aheadofprint

Résumé

In low-dose-rate brachytherapy, iodine-125 seeds are implanted based on a treatment plan, generated with respect to different dose constraints. The quality of the dose distribution depends on a precise seed placement, however, during treatment planning the impact on the dose parameters when certain seeds fail to be placed precisely is not clear. We developed a method using automatic differentiation to calculate gradients of dose parameters with regard to the seeds' positions. Thus, we understand their sensitivity with respect to the seed placement. A statistical analysis is performed on a data set with 35 prostate brachytherapy patients. The most sensitive seeds regarding the dosimetric parameters of both rectum and urethra are close to the corresponding organ. Their gradient directions are mainly orthogonal to their surfaces. However, not all seeds close to the surface are equally sensitive with regard to the dose parameter. The most sensitive seeds regarding the prostate's dose parameters are distributed throughout the prostate and the direction of the gradients are mainly parallel to its surface. A linear regression with respect to different patient parameters shows that dose constraints which are barely fulfilled have large gradients and thus are additionally sensitive to misplacement. Automatic differentiation can be used to analyze dose parameter sensitivity with respect to seed placement. Integrating this into treatment planning systems is valuable as it speeds up the planning procedure, making it more robust and less dependent on user experience while showing the operating physician which needle placements require greater accuracy than others.

Identifiants

pubmed: 38143161
pii: S1538-4721(23)01679-3
doi: 10.1016/j.brachy.2023.10.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 American Brachytherapy Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Katharina I Jerg (KI)

Mannheim Institute for Intelligent Systems in Medicine (MIISM), Heidelberg University, Mannheim, Germany. Electronic address: katharina.jerg@medma.uni-heidelberg.de.

Ernest Chukwudi N Okonkwo (ECN)

Mannheim Institute for Intelligent Systems in Medicine (MIISM), Heidelberg University, Mannheim, Germany; Ortenau Klinikum Offenburg-Kehl, Department of Radiotherapy and Radiation Oncology, Offenburg, Germany.

Frank A Giordano (FA)

Department of Radiation Oncology, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany; DKFZ-Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany.

Yasser Abo-Madyan (Y)

Department of Radiation Oncology, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany.

Felix Momm (F)

Ortenau Klinikum Offenburg-Kehl, Department of Radiotherapy and Radiation Oncology, Offenburg, Germany.

Jürgen W Hesser (JW)

Mannheim Institute for Intelligent Systems in Medicine (MIISM), Heidelberg University, Mannheim, Germany; Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany; Central Institute for Computer Engineering (ZITI), Heidelberg University, Heidelberg, Germany; CZS Heidelberg Center for Model-Based AI, Heidelberg University, Mannheim, Germany.

Classifications MeSH