dc.contributor.author
Li, Yimin
dc.contributor.author
Beck, Marcus
dc.contributor.author
Päßler, Tom
dc.contributor.author
Lili, Chen
dc.contributor.author
Hua, Wu
dc.contributor.author
Mai, Ha Dong
dc.contributor.author
Amthauer, Holger
dc.contributor.author
Biebl, Matthias
dc.contributor.author
Thuss-Patience, Peter C.
dc.contributor.author
Berger, Jasmin
dc.contributor.author
Stromberger, Carmen
dc.contributor.author
Tinhofer, Ingeborg
dc.contributor.author
Kruppa, Jochen
dc.contributor.author
Budach, Volker
dc.contributor.author
Hofheinz, Frank
dc.contributor.author
Lin, Qin
dc.contributor.author
Zschaeck, Sebastian
dc.date.accessioned
2022-05-19T13:03:02Z
dc.date.available
2022-05-19T13:03:02Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/35074
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-34791
dc.description.abstract
Detection of patients with esophageal squamous cell carcinoma (ESCC) who do not benefit from standard chemoradiation (CRT) is an important medical need. Radiomics using 18-fluorodeoxyglucose (FDG) positron emission tomography (PET) is a promising approach. In this retrospective study of 184 patients with locally advanced ESCC. 152 patients from one center were grouped into a training cohort (n = 100) and an internal validation cohort (n = 52). External validation was performed with 32 patients treated at a second center. Primary endpoint was disease-free survival (DFS), secondary endpoints were overall survival (OS) and local control (LC). FDG-PET radiomics features were selected by Lasso-Cox regression analyses and a separate radiomics signature was calculated for each endpoint. In the training cohort radiomics signatures containing up to four PET derived features were able to identify non-responders in regard of all endpoints (DFS p < 0.001, LC p = 0.003, OS p = 0.001). After successful internal validation of the cutoff values generated by the training cohort for DFS (p = 0.025) and OS (p = 0.002), external validation using these cutoffs was successful for DFS (p = 0.002) but not for the other investigated endpoints. These results suggest that pre-treatment FDG-PET features may be useful to detect patients who do not respond to CRT and could benefit from alternative treatment.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Chemoradiotherapy
en
dc.subject
Disease-Free Survival
en
dc.subject
Esophageal Neoplasms
en
dc.subject
Esophageal Squamous Cell Carcinoma
en
dc.subject
Fluorodeoxyglucose F18
en
dc.subject
Kaplan-Meier Estimate
en
dc.subject
Positron Emission Tomography Computed Tomography
en
dc.subject
Retrospective Studies
en
dc.subject
Survival Analysis
en
dc.subject
Treatment Failure
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
17671
dcterms.bibliographicCitation.doi
10.1038/s41598-020-74701-w
dcterms.bibliographicCitation.journaltitle
Scientific Reports
dcterms.bibliographicCitation.originalpublishername
Springer Nature
dcterms.bibliographicCitation.volume
10
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.funding
Springer Nature DEAL
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
33077841
dcterms.isPartOf.eissn
2045-2322