Functional nanoparticles are highly interesting imaging agents for positron emission tomography (PET) due to the possibility of multiple incorporation of positron emitting radionuclides thus increasing the signal strength. Furthermore, long-term nanoparticle biodistribution tests with increased signal-to-noise ratio can be achieved with nanoparticles carrying long-lived isotopes. Mesoporous silica nanoparticles, MSNs, have recently attracted a lot of interest as both imaging agents and carriers for drugs in vitro and in vivo. Here we present results related to the synthesis of PET imageable MSNs carrying the long-lived (89)Zr isotope (half-life of 78.4 hours). Here, (89)Zr(4+) was immobilized through covalent attachment of the complexing agent p-isothiocyanatobenzyldesferrioxamine (DFO-NCS) to large-pore MSNs. Due to the presence of the high DFO content on the MSNs, quantitative (89)Zr(4+) labeling was achieved within just a few minutes, and no subsequent purification step was needed in order to remove non-complexed (89)Zr(4+). The stability of the (89)Zr-labeled MSNs against leaching of (89)Zr(4+) was verified for 24 hours. The high signal strength of the (89)Zr-DFO-MSNs was evidenced by successful PET imaging using a mouse model at particle loadings one order of magnitude lower than those previously applied in PET-MSN studies. The biodistribution followed the same trends as previously observed for MSNs of different sizes and surface functionalities. Taken together, our results suggest that (89)Zr-DFO-MSNs are promising PET imaging agents for long-term in vivo imaging.
The Vero linear accelerator delivers dynamic tumor tracking (DTT) treatment using a gimbal motion. However, the availability of treatment planning systems (TPS) to simulate DTT is limited. This study aims to implement and verify the gimbal tracking beam geometry in the dose calculation. Gimbal tracking was implemented by rotating the reference CT outside the TPS according to the ring, gantry, and gimbal tracking position obtained from the tracking log file. The dose was calculated using these rotated CTs. The geometric accuracy was verified by comparing calculated and measured film response using a ball bearing phantom. The dose was verified by comparing calculated 2D dose distributions and film measurements in a ball bearing and a homogeneous phantom using a gamma criterion of 2%/2 mm. The effect of implementing the gimbal tracking beam geometry in a 3D patient data dose calculation was evaluated using dose volume histograms (DVH). Geometrically, the gimbal tracking implementation accuracy was <0.94 mm. The isodose lines agreed with the film measurement. The largest dose difference of 9.4% was observed at maximum tilt positions with an isocenter and target separation of 17.51 mm. Dosimetrically, gamma passing rates were >98.4%. The introduction of the gimbal tracking beam geometry in the dose calculation shifted the DVH curves by 0.05%-1.26% for the phantom geometry and by 5.59% for the patient CT dataset. This study successfully demonstrates a method to incorporate the gimbal tracking beam geometry into dose calculations. By combining CT rotation and MU distribution according to the log file, the TPS was able to simulate the Vero tracking treatment dose delivery. The DVH analysis from the gimbal tracking dose calculation revealed changes in the dose distribution during gimbal DTT that are not visible with static dose calculations.
Radiotherapy (RT) is commonly applied for the treatment of glioblastoma multiforme (GBM). Following the planning target volume (PTV) definition procedure standardized in guidelines, a 20% risk of missing non-local recurrences is present. Purpose of this study was to evaluate whether diffusion tensor imaging (DTI)-based fiber tracking may be beneficial for PTV definition taking into account the prediction of distant recurrences. 56 GBM patients were examined with magnetic resonance imaging (MRI) including DTI performed before RT after resection of the primary tumor. Follow-up MRIs were acquired in three month intervals. For the seven patients with a distant recurrence, fiber tracking was performed with three algorithms and it was evaluated whether connections existed from the primary tumor region to the distant recurrence. It depended strongly on the used tracking algorithm and the used tracking parameters whether a connection was observed. Most of the connections were weak and thus not usable for PTV definition. Only in one of the seven patients with a recurring tumor, a clear connection was present. It seems unlikely that DTIbased fiber tracking can be beneficial for predicting distant recurrences in the planning of PTVs for glioblastoma multiforme.
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