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An international survey on the clinical use of rigid and deformable image registration in radiotherapy.
Yuen, Johnson; Barber, Jeffrey; Ralston, Anna; Gray, Alison; Walker, Amy; Hardcastle, Nicholas; Schmidt, Laurel; Harrison, Kristie; Poder, Joel; Sykes, Jonathan R; Jameson, Michael G.
Afiliação
  • Yuen J; St George Hospital Cancer Care Centre, Kogarah, NSW, 2217, Australia.
  • Barber J; South Western Clinical School, University of New South Wales, Sydney, Australia.
  • Ralston A; Ingham Institute for Applied Medical Research, Sydney, Australia.
  • Gray A; Blacktown Cancer & Hematology Centre, Sydney West Cancer Network, Sydney, Australia.
  • Walker A; Institute of Medical Physics, University of Sydney, Sydney, Australia.
  • Hardcastle N; St George Hospital Cancer Care Centre, Kogarah, NSW, 2217, Australia.
  • Schmidt L; Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia.
  • Harrison K; Liverpool and Macarthur Cancer Therapy Centres, Campbelltown, NSW, Australia.
  • Poder J; South Western Clinical School, University of New South Wales, Sydney, Australia.
  • Sykes JR; Ingham Institute for Applied Medical Research, Sydney, Australia.
  • Jameson MG; Liverpool and Macarthur Cancer Therapy Centres, Campbelltown, NSW, Australia.
J Appl Clin Med Phys ; 21(10): 10-24, 2020 Oct.
Article em En | MEDLINE | ID: mdl-32915492
ABSTRACT

OBJECTIVES:

Rigid image registration (RIR) and deformable image registration (DIR) are widely used in radiotherapy. This project aims to capture current international approaches to image registration.

METHODS:

A survey was designed to identify variations in use, resources, implementation, and decision-making criteria for clinical image registration. This was distributed to radiotherapy centers internationally in 2018.

RESULTS:

There were 57 responses internationally, from the Americas (46%), Australia/New Zealand (32%), Europe (12%), and Asia (10%). Rigid image registration and DIR were used clinically for computed tomography (CT)-CT registration (96% and 51%, respectively), followed by CT-PET (81% and 47%), CT-CBCT (84% and 19%), CT-MR (93% and 19%), MR-MR (49% and 5%), and CT-US (9% and 0%). Respondent centers performed DIR using dedicated software (75%) and treatment planning systems (29%), with 84% having some form of DIR software. Centers have clinically implemented DIR for atlas-based segmentation (47%), multi-modality treatment planning (65%), and dose deformation (63%). The clinical use of DIR for multi-modality treatment planning and accounting for retreatments was considered to have the highest benefit-to-risk ratio (69% and 67%, respectively).

CONCLUSIONS:

This survey data provides useful insights on where, when, and how image registration has been implemented in radiotherapy centers around the world. DIR is mainly in clinical use for CT-CT (51%) and CT-PET (47%) for the head and neck (43-57% over all use cases) region. The highest benefit-risk ratio for clinical use of DIR was for multi-modality treatment planning and accounting for retreatments, which also had higher clinical use than for adaptive radiotherapy and atlas-based segmentation.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Planejamento da Radioterapia Assistida por Computador Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Planejamento da Radioterapia Assistida por Computador Idioma: En Ano de publicação: 2020 Tipo de documento: Article