001     307614
005     20260225120911.0
024 7 _ |a 10.1016/j.radonc.2026.111375
|2 doi
024 7 _ |a pmid:41519167
|2 pmid
024 7 _ |a 0167-8140
|2 ISSN
024 7 _ |a 1879-0887
|2 ISSN
037 _ _ |a DKFZ-2026-00086
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Ehret, Felix
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Tumor control probability modeling of pulmonary metastases in oligometastatic head and neck squamous cell carcinoma treated with stereotactic body radiation therapy.
260 _ _ |a Amsterdam [u.a.]
|c 2026
|b Elsevier Science
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1768316160_488981
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #DKTKZFB9# / epub
520 _ _ |a Local control rates for pulmonary metastases from head and neck squamous cell carcinoma (HNSCC) treated with stereotactic body radiation therapy (SBRT) vary substantially in the literature, likely due to differences in the doses applied. This study, therefore, aims to develop tumor control probability (TCP) models.Dose-time modeling of TCP was performed for three key dose descriptors: 3-fraction equivalent dose (3fxED) prescription dose, 3fxED planning target volume (PTV) D95%, and 3fxED PTV D2%. Each dose descriptor was stratified into 4 dose groups using a k-medians clustering algorithm, and the Kaplan-Meier estimator was computed in each group separately to enable time-dependent dose-response modeling. Logistic regression models were fitted using maximum likelihood estimation with model parameters determined separately for 1-year and 2-year local control.This retrospective multicenter analysis included 318 pulmonary metastases from 215 patients. The median 3fxED prescription dose was 45.0 Gy (IQR, 39.2-46.5), corresponding to a biologically effective dose (α/β = 20 Gy) (BED20) of 78.8 Gy (IQR, 64.8-82.5). After a median radiographic follow-up of 13.3 months (IQR, 6.6-32.0), 21 local failures were observed. All models indicated a dose-dependent effect on the local control probability. A local control rate of 95 % was achieved at 1 and 2 years when 3fxED prescription doses and PTV D95% exceeded about 51 Gy (94 Gy BED20), and when PTV D2% reached 66 Gy (139 Gy BED20).These TCP models suggest a dose-dependent probability of local control in pulmonary HNSCC metastases treated with SBRT and provide a basis for future clinical assessments in this population.
536 _ _ |a 899 - ohne Topic (POF4-899)
|0 G:(DE-HGF)POF4-899
|c POF4-899
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a Head and neck cancer
|2 Other
650 _ 7 |a Lung metastases
|2 Other
650 _ 7 |a Modeling
|2 Other
650 _ 7 |a Oligometastases
|2 Other
650 _ 7 |a Radiotherapy
|2 Other
650 _ 7 |a SABR
|2 Other
650 _ 7 |a SBRT
|2 Other
650 _ 7 |a Stereotactic body radiation therapy
|2 Other
650 _ 7 |a Tumor control probability
|2 Other
700 1 _ |a Grimm, Jimm
|b 1
700 1 _ |a Subedi, Gopal
|b 2
700 1 _ |a Vorbach, Samuel M
|b 3
700 1 _ |a Salvestrini, Viola
|b 4
700 1 _ |a Bonaparte, Ilaria
|b 5
700 1 _ |a Mohamed, Ahmed Allam
|b 6
700 1 _ |a Adebahr, Sonja
|0 P:(DE-He78)81094a4c6a39bdf11ee1ae857f1f21d2
|b 7
700 1 _ |a Richter, Anne
|b 8
700 1 _ |a Fabian, Alexander
|b 9
700 1 _ |a Weissmann, Thomas
|b 10
700 1 _ |a Kaufmann, Justus
|b 11
700 1 _ |a Drabke, Sophia
|b 12
700 1 _ |a Looman, Esmée Lauren
|b 13
700 1 _ |a Waltenberger, Maria
|b 14
700 1 _ |a Kraus, Kim Melanie
|b 15
700 1 _ |a Grohmann, Maximilian
|b 16
700 1 _ |a Baehr, Andrea
|b 17
700 1 _ |a Rogers, Susanne
|b 18
700 1 _ |a Gawish, Ahmed
|b 19
700 1 _ |a Becker, Jan-Niklas
|b 20
700 1 _ |a Klement, Rainer J
|b 21
700 1 _ |a Partl, Richard
|b 22
700 1 _ |a Eble, Michael J
|b 23
700 1 _ |a Grosu, Anca-Ligia
|0 P:(DE-HGF)0
|b 24
700 1 _ |a Rimner, Andreas
|0 P:(DE-HGF)0
|b 25
700 1 _ |a Gkika, Eleni
|0 P:(DE-HGF)0
|b 26
700 1 _ |a Trommer, Maike
|b 27
700 1 _ |a Riesterer, Oliver
|b 28
700 1 _ |a Putz, Florian
|b 29
700 1 _ |a Ganswindt, Ute
|b 30
700 1 _ |a Moustakis, Christos
|b 31
700 1 _ |a Nicolay, Nils H
|b 32
700 1 _ |a Brunner, Thomas B
|b 33
700 1 _ |a Blanck, Oliver
|b 34
700 1 _ |a Bonomo, Pierluigi
|b 35
700 1 _ |a Wittig-Sauerwein, Andrea
|b 36
700 1 _ |a Balermpas, Panagiotis
|b 37
700 1 _ |a Nägler, Franziska
|b 38
700 1 _ |a Rühle, Alexander
|0 P:(DE-He78)80e100a16534f5fc67f7436ee67a47f9
|b 39
|u dkfz
773 _ _ |a 10.1016/j.radonc.2026.111375
|g p. 111375 -
|0 PERI:(DE-600)1500707-8
|p nn
|t Radiotherapy and oncology
|v nn
|y 2026
|x 0167-8140
856 4 _ |y OpenAccess
|u https://inrepo02.dkfz.de/record/307614/files/1-s2.0-S0167814026000137-main.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://inrepo02.dkfz.de/record/307614/files/1-s2.0-S0167814026000137-main.pdf?subformat=pdfa
909 C O |o oai:inrepo02.dkfz.de:307614
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)81094a4c6a39bdf11ee1ae857f1f21d2
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 24
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 25
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 26
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 39
|6 P:(DE-He78)80e100a16534f5fc67f7436ee67a47f9
913 1 _ |a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|1 G:(DE-HGF)POF4-890
|0 G:(DE-HGF)POF4-899
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-800
|4 G:(DE-HGF)POF
|v ohne Topic
|x 0
914 1 _ |y 2026
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2025-01-07
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b RADIOTHER ONCOL : 2022
|d 2025-01-07
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-07
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2025-01-07
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b RADIOTHER ONCOL : 2022
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2025-01-07
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2025-01-07
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-07
920 1 _ |0 I:(DE-He78)BE01-20160331
|k BE01
|l DKTK Koordinierungsstelle Berlin
|x 0
920 1 _ |0 I:(DE-He78)FR01-20160331
|k FR01
|l DKTK Koordinierungsstelle Freiburg
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-He78)BE01-20160331
980 _ _ |a I:(DE-He78)FR01-20160331
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21