Publication:

An in-silico planning study of stereotactic body radiation therapy for polymetastatic patients with more than ten extra-cranial lesions

Date

Date

Date
2024
Journal Article
Published version
cris.lastimport.scopus2025-06-25T03:43:55Z
cris.lastimport.wos2025-07-30T01:30:20Z
dc.contributor.institutionUniversity of Zurich
dc.date.accessioned2024-04-12T10:47:24Z
dc.date.available2024-04-12T10:47:24Z
dc.date.issued2024-04
dc.description.abstract

BACKGROUND AND PURPOSE

Limited data is available about the feasibility of stereotactic body radiation therapy (SBRT) for treating more than five extra-cranial metastases, and almost no data for treating more than ten. The aim of this study was to investigate the feasibility of SBRT in this polymetatstatic setting.

MATERIALS AND METHODS

Consecutive metastatic melanoma patients with more than ten extra-cranial metastases and a maximum lesion diameter below 11 cm were selected from a single-center prospective registry for this in-silico planning study. For each patient, SBRT plans were generated to treat all metastases with a prescribed dose of 5x7Gy, and dose-limiting organs (OARs) were analyzed. A cell-kill based inverse planning approach was used to automatically determine the maximum deliverable dose to each lesion individually, while respecting all OARs constraints.

RESULTS

A total of 23 polymetastatic patients with a medium of 17 metastases (range, 11-51) per patient were selected. SBRT plans with sufficient target coverage and respected OARs dose constraints were achieved in 16 out of 23 patients. In the remaining seven patients, the lungs V5Gy < 80 % and the liver D700 cm$^{3}$ < 15Gy were most frequently the dose-limiting constraints. The cell-kill based planning approach allowed optimizing the dose administration depending on metastases total volume and location.

CONCLUSION

This retrospective planning study shows the feasibility of definitive SBRT for 70% of polymetastatic patients with more than ten extra-cranial lesions and proposes the cell-killing planning approach as an approach to individualize treatment planning in polymetastatic patients'.

dc.identifier.doi10.1016/j.phro.2024.100567
dc.identifier.issn2405-6316
dc.identifier.scopus2-s2.0-85188167328
dc.identifier.urihttps://www.zora.uzh.ch/handle/20.500.14742/218872
dc.identifier.wos001218895700001
dc.language.isoeng
dc.subject.ddc610 Medicine & health
dc.title

An in-silico planning study of stereotactic body radiation therapy for polymetastatic patients with more than ten extra-cranial lesions

dc.typearticle
dcterms.accessRightsinfo:eu-repo/semantics/openAccess
dcterms.bibliographicCitation.journaltitlePhysics and Imaging in Radiation Oncology
dcterms.bibliographicCitation.originalpublishernameElsevier
dcterms.bibliographicCitation.pagestart100567
dcterms.bibliographicCitation.pmid38516028
dcterms.bibliographicCitation.volume30
dspace.entity.typePublicationen
uzh.contributor.affiliationIRCCS Azienda Unità Sanitaria Locale di Reggio Emilia, UniversitatsSpital Zurich, Università degli Studi di Modena e Reggio Emilia
uzh.contributor.affiliationUniversitatsSpital Zurich
uzh.contributor.affiliationUniversitatsSpital Zurich
uzh.contributor.affiliationUniversitatsSpital Zurich
uzh.contributor.affiliationUniversitatsSpital Zurich
uzh.contributor.affiliationUniversitatsSpital Zurich
uzh.contributor.authorIori, Federico
uzh.contributor.authorTorelli, Nathan
uzh.contributor.authorUnkelbach, Jan
uzh.contributor.authorTanadini-Lang, Stephanie
uzh.contributor.authorChrist, Sebastian M
uzh.contributor.authorGuckenberger, Matthias
uzh.contributor.correspondenceYes
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.document.availabilitypublished_version
uzh.eprint.datestamp2024-04-12 10:47:24
uzh.eprint.lastmod2025-07-30 01:34:57
uzh.eprint.statusChange2024-04-12 10:47:24
uzh.harvester.ethYes
uzh.harvester.nbNo
uzh.identifier.doi10.5167/uzh-259063
uzh.jdb.eprintsId45342
uzh.oastatus.unpaywallgold
uzh.oastatus.zoraGold
uzh.publication.citationIori, Federico; Torelli, Nathan; Unkelbach, Jan; Tanadini-Lang, Stephanie; Christ, Sebastian M; Guckenberger, Matthias (2024). An in-silico planning study of stereotactic body radiation therapy for polymetastatic patients with more than ten extra-cranial lesions. Physics and Imaging in Radiation Oncology, 30:100567.
uzh.publication.originalworkoriginal
uzh.publication.publishedStatusfinal
uzh.scopus.impact0
uzh.scopus.subjectsRadiation
uzh.scopus.subjectsOncology
uzh.scopus.subjectsRadiology, Nuclear Medicine and Imaging
uzh.workflow.doajuzh.workflow.doaj.true
uzh.workflow.eprintid259063
uzh.workflow.fulltextStatuspublic
uzh.workflow.revisions35
uzh.workflow.rightsCheckkeininfo
uzh.workflow.sourcePubMed:PMID:38516028
uzh.workflow.statusarchive
uzh.wos.impact0
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