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Simulation method based on PET image for tail vein extravasation correction / 中华核医学与分子影像杂志
Chinese Journal of Nuclear Medicine and Molecular Imaging ; (6): 295-298, 2023.
Artículo en Chino | WPRIM | ID: wpr-993595
ABSTRACT

Objective:

To establish a method for correction of tail vein extravasation based on PET images and to improve the accuracy of SUV.

Methods:

The simulation method was established by phantom on Nano PET/CT and images were reconstructed by a three-dimensional ordered-subsets exception maximum algorithm. PET images were analyzed by using the Interview Fusion 1.0 software. The optimal scanning time and the ROI delineated method were found. The accuracy of the simulation method was verified by comparing the activity of simulation method with the mice tail activity measured by the dose calibrator directly on Kunming (KM) mouse ( n=11). Using the simulation method, the impact of extravasation on SUV was proved. Independent-sample t test was used to analyze data.

Results:

Ten minutes was selected as the optimal scanning time and SUV max 42% threshold was selected as the ROI delineated method. The specific correction formula was as follows actual activity=image activity/(4.48× V+ 77.05)×100 (0.3 MBq/ml≤leakage concentration<6.5 MBq/ml); actual activity=image activity/(6.65× V+ 71.10)×100 (6.5 MBq/ml<leakage concentration≤14.8 MBq/ml). In the verification experiment, the difference rate between simulated and standard activity was (6.10±2.43)%. In actual operation verification, SUV was underestimated by (6.07±2.67)%. The corrected SUV (0.276±0.078) was not significantly different from the standard SUV (0.277±0.078; t=0.99, P=0.353), while the uncorrected SUV (0.264±0.078) was significantly lower than the standard SUV ( t=7.02, P<0.001).

Conclusion:

The correction calculation method based on PET images can realize the accurate correction of tail vein leakage activity and the SUV results of animal imaging.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Nuclear Medicine and Molecular Imaging Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Nuclear Medicine and Molecular Imaging Año: 2023 Tipo del documento: Artículo