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| Home > Publications database > Artificial intelligence-assisted assessment of metabolic response to tebentafusp in metastatic uveal melanoma: a long axial field-of-view [18F]FDG PET/CT study. > print |
| Home > Publications database > Artificial intelligence-assisted assessment of metabolic response to tebentafusp in metastatic uveal melanoma: a long axial field-of-view [18F]FDG PET/CT study. > print |
| 001 | 304463 | ||
| 005 | 20250909114904.0 | ||
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| 100 | 1 | _ | |a Sachpekidis, Christos |0 P:(DE-He78)69d2d5247c019c2a2075502dc11bf0b2 |b 0 |e First author |u dkfz |
| 245 | _ | _ | |a Artificial intelligence-assisted assessment of metabolic response to tebentafusp in metastatic uveal melanoma: a long axial field-of-view [18F]FDG PET/CT study. |
| 260 | _ | _ | |a Heidelberg [u.a.] |c 2025 |b Springer-Verl. |
| 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 1757409426_22366 |2 PUB:(DE-HGF) |
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| 500 | _ | _ | |a #EA:E060#LA:E060# / epub |
| 520 | _ | _ | |a 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.Fifteen patients with mUM treated with tebentafusp underwent [18F]FDG LAFOV PET/CT at baseline and 3 months post-treatment. Total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) were quantified using a deep learning-based segmentation tool On the RECOMIA platform. Metabolic response was assessed according to AI-assisted PERCIST 1.0 criteria. Associations between PET-derived parameters and overall survival (OS) were evaluated using Kaplan-Meier survival analysis.The median follow up (95% CI) was 14.1 months (12.9 months - not available). Automated TMTV and TLG measurements were successfully obtained in all patients. Elevated baseline TMTV and TLG were significantly associated with shorter OS (TMTV: 16.9 vs. 27.2 months; TLG: 16.9 vs. 27.2 months; p < 0.05). Similarly, higher TMTV and TLG at 3 months post-treatment predicted poorer survival outcomes (TMTV: 14.3 vs. 24.5 months; TLG: 14.3 vs. 24.5 months; p < 0.05). AI-assisted PERCIST response evaluation identified six patients with disease control (complete metabolic response, partial metabolic response, stable metabolic disease) and nine with progressive metabolic disease. A trend toward improved OS was observed in patients with disease control (24.5 vs. 14.6 months, p = 0.08). Circulating tumor DNA (ctDNA) levels based on GNAQ and GNA11 mutations were available in 8 patients; after 3 months Of tebentafusp treatment, 5 showed reduced Or stable ctDNA levels, and 3 showed an increase (median OS: 24.5 vs. 3.3 months; p = 0.13). Patients with increasing ctDNA levels exhibited significantly higher TMTV and TLG on follow-up imaging.AI-assisted whole-body quantification of [1⁸F]FDG PET/CT and PERCIST-based response assessment are feasible and hold prognostic significance in tebentafusp-treated mUM. TMTV and TLG may serve as non-invasive imaging biomarkers for risk stratification and treatment monitoring in this malignancy. |
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| 650 | _ | 7 | |a Artificial intelligence |2 Other |
| 650 | _ | 7 | |a CtDNA |2 Other |
| 650 | _ | 7 | |a Deep learning |2 Other |
| 650 | _ | 7 | |a Metastatic uveal melanoma |2 Other |
| 650 | _ | 7 | |a PERCIST |2 Other |
| 650 | _ | 7 | |a Tebentafusp |2 Other |
| 650 | _ | 7 | |a Total lesion glycolysis (TLG) |2 Other |
| 650 | _ | 7 | |a Total metabolic tumor volume (TMTV) |2 Other |
| 650 | _ | 7 | |a Treatment response evaluation |2 Other |
| 650 | _ | 7 | |a [18F]FDG LAFOV PET/CT |2 Other |
| 700 | 1 | _ | |a Machiraju, Devayani |b 1 |
| 700 | 1 | _ | |a Strauss, Dimitrios Stefanos |b 2 |
| 700 | 1 | _ | |a Pan, Leyun |0 P:(DE-He78)96ac0342a3ccf9553e3d4c9da9b821b0 |b 3 |u dkfz |
| 700 | 1 | _ | |a Kopp-Schneider, Annette |0 P:(DE-He78)bb6a7a70f976eb8df1769944bf913596 |b 4 |u dkfz |
| 700 | 1 | _ | |a Edenbrandt, Lars |b 5 |
| 700 | 1 | _ | |a Dimitrakopoulou-Strauss, Antonia |0 P:(DE-He78)b2df3652dfa3e19d5e96dfc53f44a992 |b 6 |e Last author |u dkfz |
| 700 | 1 | _ | |a Hassel, Jessica C |b 7 |
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