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10.1186_s40463-022-00568-8.pdf 1,27MB
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1000 Titel
  • 18F-FDG-PET/CT can be used to predict distant metastasis in hypopharyngeal squamous cell carcinoma
1000 Autor/in
  1. Suzuki, Shinsuke |
  2. Toyoma, Satoshi |
  3. Abe, Tomoe |
  4. Endo, Tentaro |
  5. Kouga, Teppei |
  6. Kaswasaki, Yohei |
  7. Yamada, Takechiyo |
1000 Verlag
  • SAGE Publications
1000 Erscheinungsjahr 2022
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-01-01
1000 Erschienen in
1000 Quellenangabe
  • 51(1)
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s40463-022-00568-8 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973647/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:sec><jats:title>Background</jats:title><jats:p> Hypopharyngeal squamous cell carcinoma (HPSCC) has a high rate of distant metastasis, resulting in poor prognosis. The role of the maximum standardized uptake value (SUVmax), which was assessed via pretreatment 18-fluorodeoxyglucose positron emission tomography (FDG-PET), and computed tomography (CT) was examined, for predicting distant metastasis and survival. </jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p> This study included 121 patients who underwent pretreatment FDG-PET/CT scanning and subsequent treatment for HPSCC. The SUVmax was measured via FDG-PET/CT. A receiver operating characteristic (ROC) curve analysis was used to determine whether the SUVmax was a predictor of distant metastasis and to select the best cutoff value. Univariate and multivariate Cox hazard regression analyses were used in identifying associations between the SUVmax and other clinicopathological factors with distant metastasis-free survival. </jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p> Distant metastases were identified in 33 patients during the median follow-up of 24 months after treatment. The ROC curve analysis determined that SUVmax was predictive of distant metastasis and identified a SUVmax of 13.9 as the best potential cutoff value. The univariate analysis showed that T and N classification, clinical stage, and SUVmax were significantly related to distant metastasis. However, in multivariate analysis, an SUVmax ≥ 13.9 was the only independent predictor of distant metastasis. Patients with high SUVmax values displayed significantly shorter distant metastasis-free survival and overall survival. </jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p> SUVmax determined via pretreatment FDG-PET/CT is useful for predicting distant metastasis, distant metastasis-free survival, and overall survival in patients with HPSCC. </jats:p></jats:sec><jats:sec><jats:title>Graphical Abstract</jats:title><jats:p> </jats:p></jats:sec>
1000 Sacherschließung
lokal Hypopharyngeal squamous cell carcinoma
lokal Humans [MeSH]
lokal Maximum standardized uptake value
lokal Fluorodeoxyglucose F18 [MeSH]
lokal Survival
lokal Disease-Free Survival [MeSH]
lokal Head and Neck Neoplasms [MeSH]
lokal Prognosis [MeSH]
lokal 18F-FDG-PET/CT
lokal Squamous Cell Carcinoma of Head and Neck/diagnostic imaging [MeSH]
lokal Original Research Article
lokal Distant metastasis
lokal Positron Emission Tomography Computed Tomography/methods [MeSH]
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-8555-1722|https://frl.publisso.de/adhoc/uri/VG95b21hLCBTYXRvc2hp|https://frl.publisso.de/adhoc/uri/QWJlLCBUb21vZQ==|https://frl.publisso.de/adhoc/uri/RW5kbywgVGVudGFybw==|https://frl.publisso.de/adhoc/uri/S291Z2EsIFRlcHBlaQ==|https://frl.publisso.de/adhoc/uri/S2Fzd2FzYWtpLCBZb2hlaQ==|https://frl.publisso.de/adhoc/uri/WWFtYWRhLCBUYWtlY2hpeW8=
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1000 Label
1000 Förderer
  1. Japan Society for the Promotion of Science |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
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    1000 Förderer Japan Society for the Promotion of Science |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6482573.rdf
1000 Erstellt am 2024-05-24T06:05:41.898+0200
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1000 beschreibt frl:6482573
1000 Zuletzt bearbeitet Mon May 27 08:38:00 CEST 2024
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