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Artificial intelligence-assisted assessment of metabolic response to tebentafusp in metastatic uveal melanoma: a long axial field-of-view (18F)FDG PET/CT study

Tebentafusp has emerged as the first systemic therapy to significantly prolong survival in treatment-naïve HLA-A*02:01 + patients with unresectable or metastatic uveal melanoma (mUM). Notably, a survival benefit has been observed even in the absence of radiographic response. This study aims to inve...

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Main Authors: Sachpekidis, Christos (Author) , Machiraju, Devayani (Author) , Strauss, Dimitrios (Author) , Pan, Leyun (Author) , Kopp-Schneider, Annette (Author) , Edenbrandt, Lars (Author) , Dimitrakopoulou-Strauss, Antonia (Author) , Hassel, Jessica C. (Author)
Format: Article (Journal)
Language:English
Published: 06 September 2025
In: European journal of nuclear medicine and molecular imaging
Year: 2025, Pages: 1-11
ISSN:1619-7089
DOI:10.1007/s00259-025-07504-8
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00259-025-07504-8
Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s00259-025-07504-8?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot&getft_integrator=clarivate
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Author Notes:Christos Sachpekidis, Devayani Machiraju, Dimitrios Stefanos Strauss, Leyun Pan, Annette Kopp-Schneider, Lars Edenbrandt, Antonia Dimitrakopoulou-Strauss, Jessica C. Hassel
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Summary:Tebentafusp has emerged as the first systemic therapy to significantly prolong survival in treatment-naïve HLA-A*02:01 + patients with unresectable or metastatic uveal melanoma (mUM). Notably, a survival benefit has been observed even in the absence of radiographic response. This study aims to investigate the feasibility and prognostic value of artificial intelligence (AI)-assisted quantification and metabolic response assessment of [18F]FDG long axial field-of-view (LAFOV) PET/CT in mUM patients undergoing tebentafusp therapy.
Item Description:Im Titel erscheint "18F" in eckigen Klammern, die 18 ist dabei hochgestellt
Gesehen am 29.01.2026
Physical Description:Online Resource
ISSN:1619-7089
DOI:10.1007/s00259-025-07504-8

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