001     301281
005     20250518020556.0
024 7 _ |a 10.1038/s41598-025-95137-0
|2 doi
024 7 _ |a pmid:40348865
|2 pmid
024 7 _ |a altmetric:177029546
|2 altmetric
037 _ _ |a DKFZ-2025-00966
041 _ _ |a English
082 _ _ |a 600
100 1 _ |a Holzwarth, Niklas
|0 P:(DE-He78)1c47bf7bdef42ec57b194723ccfb2946
|b 0
|e First author
|u dkfz
245 _ _ |a Photoacoustic imaging for monitoring radiotherapy treatment response in head and neck tumors.
260 _ _ |a [London]
|c 2025
|b Springer Nature
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 1747132682_13899
|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 #EA:E130#
520 _ _ |a Head and neck (HN) tumors are responsible for approximately 4% of annual new cancer cases worldwide. Besides surgery, radiochemotherapy, particularly fractionated radiotherapy (RT), is the gold-standard treatment modality for these cancers. However, there is currently no reliable early measure of success available to further personalize treatment plans. This work aims to address this critical bottleneck by pioneering the use of photoacoustic imaging (PAI) to measure treatment response in HN cancer patients undergoing RT. PAI leverages the photoacoustic effect in order to non-invasively recover functional tissue properties in depths of up to several centimeters. We hypothesized that oxygen saturation ([Formula: see text]), hemoglobin concentration, and water content, as measured by PAI, would non-invasively reflect expected RT treatment effects, namely reoxygenation of lymph nodes (hypothesis H1), inflammation of surrounding organs (H2) and xerostomia (H3). Our study with n = 30 human subjects showed notable changes in [Formula: see text], hemoglobin concentration, and water levels in HN tumor patients resulting from disease treatment. Our data confirmed hypotheses H2 and H3, while an observed decrease in [Formula: see text] over the treatment course contradicted our prior assumptions (H1). A comprehensive analysis based on device and tissue digital twins, however, revealed that low blood volume fraction as encountered in malignant nodes, can lead to particularly high [Formula: see text] prediction errors, indicating that the measured [Formula: see text] values cannot be trusted within these regions. We conclude that our study is the first to show that PAI is capable of measuring early molecular changes induced by RT in human tissue non-invasively. Further studies are now needed to convert the potential of the new imaging technique into patient benefit.
536 _ _ |a 315 - Bildgebung und Radioonkologie (POF4-315)
|0 G:(DE-HGF)POF4-315
|c POF4-315
|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 In vivo
|2 Other
650 _ 7 |a Photoacoustic imaging
|2 Other
650 _ 7 |a Radiotherapy
|2 Other
650 _ 7 |a Xerostomia
|2 Other
650 _ 7 |a Hemoglobins
|2 NLM Chemicals
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Photoacoustic Techniques: methods
|2 MeSH
650 _ 2 |a Head and Neck Neoplasms: radiotherapy
|2 MeSH
650 _ 2 |a Head and Neck Neoplasms: diagnostic imaging
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Hemoglobins: metabolism
|2 MeSH
650 _ 2 |a Hemoglobins: analysis
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Treatment Outcome
|2 MeSH
700 1 _ |a Rachel, Zoe
|b 1
700 1 _ |a Nölke, Jan-Hinrich
|0 P:(DE-He78)43c9f8e1d3e09ccede1867dcc07d56b4
|b 2
|u dkfz
700 1 _ |a Schellenberg, Melanie
|0 P:(DE-He78)9d0e93f03c73f265ef93b2217b023d60
|b 3
700 1 _ |a Bauer, Lukas
|b 4
700 1 _ |a Schreck, Nicholas
|0 P:(DE-He78)0d054b6843ace36d1c965b6cb938d1c9
|b 5
|u dkfz
700 1 _ |a Bender, Christoph J
|0 P:(DE-He78)d9c9ea92e3b697685f4b4c3bd6d063ad
|b 6
|u dkfz
700 1 _ |a Dreher, Kris K
|0 P:(DE-He78)84acbc6406dd178828f87a8150d40951
|b 7
|u dkfz
700 1 _ |a Regnery, Sebastian
|b 8
700 1 _ |a Weusthof, Katharina
|b 9
700 1 _ |a Wiesenfarth, Manuel
|0 P:(DE-He78)1042737c83ba70ec508bdd99f0096864
|b 10
|u dkfz
700 1 _ |a Kopp-Schneider, Annette
|0 P:(DE-He78)bb6a7a70f976eb8df1769944bf913596
|b 11
|u dkfz
700 1 _ |a Debus, Jürgen
|0 P:(DE-He78)8714da4e45acfa36ce87c291443a9218
|b 12
|u dkfz
700 1 _ |a Seitel, Alexander
|0 P:(DE-He78)a83df473f58a6a8ef43263ec9783ecf0
|b 13
|u dkfz
700 1 _ |a Adeberg, Sebastian
|b 14
700 1 _ |a Maier-Hein, Lena
|0 P:(DE-He78)26a1176cd8450660333a012075050072
|b 15
|u dkfz
700 1 _ |a Held, Thomas
|b 16
773 _ _ |a 10.1038/s41598-025-95137-0
|g Vol. 15, no. 1, p. 16344
|0 PERI:(DE-600)2615211-3
|n 1
|p 16344
|t Scientific reports
|v 15
|y 2025
|x 2045-2322
909 C O |o oai:inrepo02.dkfz.de:301281
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)1c47bf7bdef42ec57b194723ccfb2946
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)43c9f8e1d3e09ccede1867dcc07d56b4
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 5
|6 P:(DE-He78)0d054b6843ace36d1c965b6cb938d1c9
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)d9c9ea92e3b697685f4b4c3bd6d063ad
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)84acbc6406dd178828f87a8150d40951
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 10
|6 P:(DE-He78)1042737c83ba70ec508bdd99f0096864
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 11
|6 P:(DE-He78)bb6a7a70f976eb8df1769944bf913596
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 12
|6 P:(DE-He78)8714da4e45acfa36ce87c291443a9218
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 13
|6 P:(DE-He78)a83df473f58a6a8ef43263ec9783ecf0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 15
|6 P:(DE-He78)26a1176cd8450660333a012075050072
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-315
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Bildgebung und Radioonkologie
|x 0
914 1 _ |y 2025
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b SCI REP-UK : 2022
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-07-29T15:28:26Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-07-29T15:28:26Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2024-07-29T15:28:26Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2024-12-18
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2024-12-18
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-18
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2024-12-18
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2024-12-18
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2024-12-18
920 1 _ |0 I:(DE-He78)E130-20160331
|k E130
|l E130 Intelligente Medizinische Systeme
|x 0
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l C060 Biostatistik
|x 1
920 1 _ |0 I:(DE-He78)E050-20160331
|k E050
|l E050 KKE Strahlentherapie
|x 2
920 0 _ |0 I:(DE-He78)E130-20160331
|k E130
|l E130 Intelligente Medizinische Systeme
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)E130-20160331
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a I:(DE-He78)E050-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21