Clinical necessity of multi-image based (4DMIB) optimization for targets affected by respiratory motion and treated with scanned particle therapy – A comprehensive review
Authors
Czerska, Katarzyna
Fracchiolla, Francesco
Graeff, Christian
Molinelli, Silvia
Rinaldi, Ilaria
Rucincki, Antoni
Sterpin, Edmond
Stützer, Kristin
Trnkova, Petra
Zhang, Ye
Author (Corporation)
Publication date
02/2022
Typ of student thesis
Course of study
Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Radiotherapy and Oncology
Special issue
DOI of the original publication
Link
Series
Series number
Volume
169
Issue / Number
Pages / Duration
77-85
Patent number
Publisher / Publishing institution
Elsevier
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
4D multi-image-based (4D MIB) optimization is a form of robust optimization where different uncertainty
scenarios, due to anatomy variations, are considered via multiple image sets (e.g., 4DCT). In this review,
we focused on providing an overview of different 4DMIB optimization implementations, introduced var-
ious frameworks to evaluate the robustness of scanned particle therapy affected by breathing motion and
summarized the existing evidence on the necessity of using 4DMIB optimization clinically. Expected
potential benefits of 4DMIB optimization include more robust and/or interplay-effect-resistant doses for
the target volume and organs-at-risk for indications affected by anatomical variations (e.g., breathing,
peristalsis, etc.). Although considerable literature is available on the research and technical aspects of
4DMIB, clinical studies are rare and often contain methodological limitations, such as, limited patient
number, motion amplitude, motion and delivery time structure considerations, number of repeat CTs,
etc. Therefore, the data are not conclusive. In addition, multiple studies have found that robust 3D opti-
mized plans result in dose distributions within the set clinical tolerances and, therefore, are suitable for a
treatment of moving targets with scanned particle therapy. We, therefore, consider the clinical necessity
of 4D MIB optimization, when treating moving targets with scanned particle therapy, as still to be
demonstrated.
Keywords
Subject (DDC)
610 - Medizin und Gesundheit
Event
Exhibition start date
Exhibition end date
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Conference end date
Date of the last check
ISBN
ISSN
0167-8140
Language
English
Created during FHNW affiliation
No
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Hybrid
License
Citation
CZERSKA, Katarzyna, Francesco FRACCHIOLLA, Christian GRAEFF, Silvia MOLINELLI, Ilaria RINALDI, Antoni RUCINCKI, Edmond STERPIN, Kristin STÜTZER, Petra TRNKOVA, Ye ZHANG, Joe Y CHANG, Huan GIAP, Wei LIU, Steven E SCHILD, Charles B. SIMONE, Antony J LOMAX, Arturs MEIJERS und Antje KNOPF, 2022. Clinical necessity of multi-image based (4DMIB) optimization for targets affected by respiratory motion and treated with scanned particle therapy – A comprehensive review. Radiotherapy and Oncology. Februar 2022. Bd. 169, S. 77–85. DOI 10.1016/j.radonc.2022.02.018. Verfügbar unter: https://doi.org/10.26041/fhnw-4841