A virtual phantom for patient-specific QA On A 1.5T MR-linac.

Create a virtual ArcCHECK-MR phantom, customized for a 1.5T MR-linac, with consideration of the different density regions within the quality assurance (QA) phantom, aiming to streamline the utilization of this specialized QA device. A virtual phantom was constructed in the treatment planning system (TPS) to replicate the ArcCHECK-MR's composition, consisting of five distinct layers: "Outer" (representing the outer PMMA ring), "Complex" (simulating the printed circuit boards), "Detectors" (encompassing the detector area), "Inner" (signifying the inner PMMA ring) and "Insert" (representing the PMMA insert). These layers were defined based on geometric data and represented as contour points on a set of dummy CT images. Additionally, a setup platform was integrated as contoured structures. To determine the relative electron density (RED) values of the external and internal PMMA components, measurements were taken at 25 points in the insert using an ion chamber. A novel method for establishing the exit/entrance dose ratio (EEDR) for ArcCHECK-MR was introduced. The RED of higher density region was derived by evaluating the local gamma index passing rate results with criteria of 2% dose difference and 2 mm distance-to-agreement. The performance of the virtual phantom was assessed for Unity 7 FFF beams with a 1.5T magnetic field. The radii of the five ring structures within the virtual phantom measured 133.0 mm, 110.0 mm, 103.4 mm, 100.0 mm, and 75.0 mm for the "Outer," "Complex," "Detectors," "Inner" and "Insert" regions, respectively. The RED values were as follows: ArcCHECK-MR PMMA had a RED of 1.130, "Detectors" were assumed to have a RED of 1.000, "Complex" had a RED of 1.200, and the setup QA phantom justified a RED of 1.350. Early validation results demonstrate that the 5-layer virtual phantom, when compared to the commonly used bulk overridden phantom, offers improved capability in MR-linac environments. This enhancement led to an increase in passing rates for the local gamma index by approximately 5 ∼ 6%, when applying the criteria of 2%, 2 mm. We have successfully generated a virtual representation of the distinct regions within the ArcCHECK-MR using a TPS, addressing the challenges associated with its use in conjunction with a 1.5T MR-linac. We consistently observed favorable local gamma index passing rates across two 1.5T MR-linac and ArcCHECK-MR unit combinations. This approach has the potential to minimize uncertainties in the creation of the QA phantom for ArcCHECK-MR across various institutions.

Characterisation of a clinical isolated Aspergillus lentulus strain using a Galleria mellonella infection model.

BACKGROUND: In recent years, the number of invasive aspergillus infection cases caused by Aspergillus lentulus (A. lentulus) has gradually increased and this fungus is usually difficult to distinguish from Aspergillus fumigatus in morphology. All of these presents a great challenge to the treatment of invasive fungal infections caused by A. lentulus. The present study aims to discuss the antifungal resistance, virulence and inflammatory factors' changes after the infection of larvae of A. lentulus separated from patients with chronic obstructive pulmonary disease (COPD) to reflect the host immune response. METHODS: A. lentulus isolated from COPD patients was identified by morphology and molecular biology, and its drug sensitivity was determined in vitro. Then the virulence factors and inflammatory response related factors of A. lentulus were determined by the model of A. lentulus infecting larvae. These were divided into three groups: A. lentulus standard strain, A. lentulus strain isolated from patients; PBS control. The infection model was formed by injecting the suspension of A. lentulus at a concentration of 1×106 CFU into larvae, in order to determine the (1,3)-ß-D-glucan and galactomannan levels, and determine the caspase-1 and TNF-α concentration in Galleria mellonella larvae by RT-PCR. RESULTS: The results revealed that A. lentulus had good sensitivity to itraconazole, voriconazole and micafungin, while (1,3)-ß-D-glucan was negative in the two groups. The level of galactomannan in the two groups was higher than that in the control group, and the difference was statistically significant (P<0.05). However, there was no statistical difference between the standard strain group and patient strain group (P>0.05). After the infection of larvae, caspase-1 and TNF-α in the Galleria mellonella larvae increased in the two groups, and these elevated levels were statistically significant in both groups (P<0.05). However, there was no significant difference between the two groups (P>0.05). CONCLUSIONS: There is no significant difference in virulence factor and host inflammatory response between A. lentulus isolated from COPD patients and standard strains. Galactomannan has more advantages in the early detection of A. lentulus invasive infection. Furthermore, the caspase-1-mediated inflammasome pathway may be involved in the host immune response to A. lentulus.