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European journal of nuclear medicine and molecular imaging · 2026

Kinetic modelling of [⁶⁸Ga]Ga-FAPI-46 PET in pancreaticobiliary lesions: distinguishing cancer from pancreatitis.

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Nilsson Ted, Rasinski Pawel, Sparrelid Ernesto, Tzortzakakis Antonios, Tran Thuy A, Smedby Örjan, Axelsson Rimma, Lubberink Mark, Holstensson Maria

Аннотация

PURPOSE: Fibroblast activation protein (FAP)-targeted PET using [⁶⁸Ga]Ga-FAPI-46 visualizes fibroblasts abundant in pancreatic cancer (PC) but also present in pancreatitis, complicating interpretation of static images. Dynamic imaging and kinetic modeling may provide additional insight, but their diagnostic value remains unclear. This study evaluated whether kinetic parameters from dynamic [⁶⁸Ga]Ga-FAPI-46 PET can differentiate PC from pancreatitis and their relationship with standardized uptake value (SUV) and tumor-to-blood ratio (TBR).

METHODS: Sixty-one patients with suspected pancreaticobiliary cancer underwent a 45-min dynamic [⁶⁸Ga]Ga-FAPI-46 PET scan, followed by static scans at 60 and 180 min. Time-activity curves were generated for 51 malignant and 53 benign lesions. Compartment models and Logan analysis yielded kinetic parameters (K1, k2, k3, k4, VT, VNS, VS). SUV and TBR were correlated with VT, and group comparisons and ROC analyses assessed discriminatory performance.

RESULTS: Reversible models best described the tracer kinetics. VT and VS were significantly higher in PC than pancreatitis, and k2 and k4 were lower, indicating higher [⁶⁸Ga]Ga-FAPI-46 binding respectively slower washout in malignant lesions. SUV correlated strongly with VT (r ≥ 0.784)​, and TBR showed very strong correlations (r ≥ 0.902)​ for the 0-60 min interval, with strong correlations observed across all models and time points. ROC analyses demonstrated comparable differentiation between VT, SUVmax, and TBRmax.

CONCLUSIONS: Kinetic parameters showed strong correlations with simplified methods and similar ability to differentiate PC from pancreatitis. SUV and TBR measures thus represent practical alternatives to kinetic modelling for lesion characterization.

CLINICALTRIALS: gov ID: NCT05172310.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты