Clinical necessity of multi-image based (4DMIB) optimization for targets affected by respiratory motion and treated with scanned particle therapy – A comprehensive review
Autor:innen
Czerska, Katarzyna
Fracchiolla, Francesco
Graeff, Christian
Molinelli, Silvia
Rinaldi, Ilaria
Rucincki, Antoni
Sterpin, Edmond
Stützer, Kristin
Trnkova, Petra
Zhang, Ye
Autor:in (Körperschaft)
Publikationsdatum
02/2022
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Radiotherapy and Oncology
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
169
Ausgabe / Nummer
Seiten / Dauer
77-85
Patentnummer
Verlag / Herausgebende Institution
Elsevier
Verlagsort / Veranstaltungsort
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
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.
Schlagwörter
Fachgebiet (DDC)
610 - Medizin und Gesundheit
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
0167-8140
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Nein
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Hybrid
Lizenz
Zitation
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