Survey on fan-beam computed tomography for radiotherapy: Current implementation and future perspectives of motion management and surface guidance devices.

4DCT Computed tomography Quality assurance Radiotherapy Surface guidance Survey

Journal

Physics and imaging in radiation oncology
ISSN: 2405-6316
Titre abrégé: Phys Imaging Radiat Oncol
Pays: Netherlands
ID NLM: 101704276

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 30 03 2023
revised: 27 11 2023
accepted: 28 11 2023
medline: 8 1 2024
pubmed: 8 1 2024
entrez: 8 1 2024
Statut: epublish

Résumé

This work reports on the results of a survey performed on the use of computed tomography (CT) imaging for motion management, surface guidance devices, and their quality assurance (QA). Additionally, it details the collected user insights regarding professional needs in CT for radiotherapy. The purpose of the survey is to understand current practice, professional needs and future directions in the field of fan-beam CT in radiation therapy (RT). An online institutional survey was conducted between 1-Sep-2022 and 10-Oct-2022 among medical physics experts at Belgian and Dutch radiotherapy institutions, to assess the current status, challenges, and future directions of motion management and surface image-guided radiotherapy. The survey consisted of a maximum of 143 questions, with the exact number depending on participants' responses. The response rate was 66 % (31/47). Respiratory management was reported as standard practice in all but one institution; surface imaging during CT-simulation was reported in ten institutions. QA procedures are applied with varying frequencies and methodologies, primarily with commercial anatomy-like phantoms. Surface guidance users report employing commercial static and dynamic phantoms. Four main subjects are considered clinically important by the respondents: surface guidance, CT protocol optimisation, implementing gated imaging (4DCT, breath-hold), and a tattoo-less workflow. The survey highlights the scattered pattern of QA procedures for respiratory motion management, indicating the need for well-defined, unambiguous, and practicable guidelines. Surface guidance is considered one of the most important techniques that should be implemented in the clinical radiotherapy simulation workflow.

Sections du résumé

Background and purpose UNASSIGNED
This work reports on the results of a survey performed on the use of computed tomography (CT) imaging for motion management, surface guidance devices, and their quality assurance (QA). Additionally, it details the collected user insights regarding professional needs in CT for radiotherapy. The purpose of the survey is to understand current practice, professional needs and future directions in the field of fan-beam CT in radiation therapy (RT).
Materials and methods UNASSIGNED
An online institutional survey was conducted between 1-Sep-2022 and 10-Oct-2022 among medical physics experts at Belgian and Dutch radiotherapy institutions, to assess the current status, challenges, and future directions of motion management and surface image-guided radiotherapy. The survey consisted of a maximum of 143 questions, with the exact number depending on participants' responses.
Results UNASSIGNED
The response rate was 66 % (31/47). Respiratory management was reported as standard practice in all but one institution; surface imaging during CT-simulation was reported in ten institutions. QA procedures are applied with varying frequencies and methodologies, primarily with commercial anatomy-like phantoms. Surface guidance users report employing commercial static and dynamic phantoms. Four main subjects are considered clinically important by the respondents: surface guidance, CT protocol optimisation, implementing gated imaging (4DCT, breath-hold), and a tattoo-less workflow.
Conclusions UNASSIGNED
The survey highlights the scattered pattern of QA procedures for respiratory motion management, indicating the need for well-defined, unambiguous, and practicable guidelines. Surface guidance is considered one of the most important techniques that should be implemented in the clinical radiotherapy simulation workflow.

Identifiants

pubmed: 38187170
doi: 10.1016/j.phro.2023.100523
pii: S2405-6316(23)00114-8
pmc: PMC10767488
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100523

Informations de copyright

© 2023 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Chrysi Papalazarou (C)

Leiden University Medical Center, Leiden, the Netherlands.

Sima Qamhiyeh (S)

Department of Radiation Oncology, University Hospitals Leuven, Leuven, Belgium.

Robert Kaatee (R)

Radiotherapy Institute Friesland, Leeuwarden, the Netherlands.

Joke De Rouck (J)

Department of Radiotherapy, AZ Sint Lucas, Ghent, Belgium.

Esther Decabooter (E)

Department of Radiation Oncology (Maastro Clinic), GROW School for Oncology, Maastricht University Medical Centre+, Maastricht, the Netherlands.

Guido C Hilgers (GC)

Radiotherapiegroep, Arnhem/Deventer, the Netherlands.

Koen Salvo (K)

Department of Radiotherapy, AZ Sint-Maarten, Mechelen, Belgium.

Jacobus van Wingerden (J)

Department of Medical Physics, Haaglanden Medical Centre, Leidschendam, the Netherlands.

Hilde Bosmans (H)

Department of Radiology, University Hospital Gasthuisberg, Leuven, Belgium.
Medical Physics and Quality Assessment, Department of Imaging and Pathology, KULeuven, Leuven, Belgium.

Brent van der Heyden (B)

Department of Oncology, Laboratory of Experimental Radiotherapy, KU Leuven, Leuven, Belgium.
IBiTech-MEDISIP, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium.

Geert Pittomvils (G)

Department of Radiation-Oncology, Ghent University Hospital, Ghent, Belgium.

Evelien Bogaert (E)

Department of Radiation-Oncology, Ghent University Hospital, Ghent, Belgium.

Classifications MeSH