With the improved survival of children with brain tumors, understanding the late effects of the treatment has become critical. This study explores the effects of RT on vascular structure using a combined MRA-SWI sequence at 7T and a new method for arterial segmentation and quantification. Normalized arterial volume was significantly reduced with increasing RT treatment volume, number of CMBs, and at follow-up. CMBs were located closer to veins than arteries and were larger when further away. Our findings demonstrate the feasibility of our approach for quantifying subtle vascular changes in arterial structure and CMB properties due to RT.
Methods
Patients and Data Acquisition: 15 patients (ages 10-24) treated with whole-brain (WB) or whole-ventricular (WV) RT for a pediatric brain tumor 2 months to 16 years prior to imaging were scanned on a 7-Tesla MRI scanner using a novel simultaneous MRA-SWI acquisition7 that enables concurrent visualization of arteries, veins, and CMBs on a single image (Figure 1). Five patients had repeat scans ~1 year after their baseline scan. Two patients with juvenile pilocytic astrocytomas (ages 14 and 16) who did not receive RT as part of their treatment were included as controls.
Calculation of Vascular Metrics: The arteries from the MRA volume were automatically segmented using a novel pipeline8 that employed an adaptive Frangi filter to retain the thickness of the radii in the original image. A Euclidean Distance Transform was then applied to the segmented arteries in order to calculate a map vessel radii map as shown in Figure 2C for a 2D Maximum Intensity Projection. The same pipeline was used to segment arteries and obtain a distribution of vessel radii from non-overlapping 8mm projections through the entire brain. Total vessel volume and the proportion of small vessels normalized by brain volume were compared with time since RT and number of CMBs for each gender and type of RT. Serial changes were evaluated in the 5 patients with repeat scans.
Relationship Between Vascular Metrics and CMB Evolution: Veins from SWI images were segmented similarly as arteries on the MRA images. A semi-automated algorithm that included a user-guided GUI to removed CMB mimics was used for identifying, counting, and segmenting CMBs9,10 from SWI. From the skeleton of the segmented arteries and veins the nearest end points of artery and vein with respect to each CMB were automatically determined to calculate respective distance measures that were plotted as a function of CMB volume.
Results & Discussion
Global normalized arterial volume was significantly reduced with increasing RT treatment volume (p<0.02 Kruskal Wallis test; Figure 3A). Whole brain arterial volume also decreased with increasing number of CMBs (Figure 3B) and at follow-up scan compared to baseline for 4/5 patients imaged serially (Figure 3C).
Figure 4 shows the vessel distribution normalized by the total vessel volume plotted separately for males and females since vessel radii depend on gender11. The proportion of small arteries (0.23-0.46 mm) increased with respect to time since RT for both males and females, suggesting gradual luminal narrowing for years following RT. No trends were observed in arteries with larger radii. This is consistent with reports in animal models that smaller arterioles are more susceptible to RT-induced injury.
Although initially, larger CMBs were farther from the nearest vein, over time, CMBs far from surrounding vasculature tended to decrease in size (Figure 5A). These results suggest that after a CMB forms, the surrounding vasculature narrows and eventually recedes. Although CMB distance from nearest vein vs nearest artery was highly correlated within each patient (Figure 5B), overall, CMBs were located closer to veins than arteries (Figure 5B,C).
Conclusion
Our findings demonstrate the feasibility of our approach for quantifying subtle vascular changes in arterial structure and CMB properties due to RT. We anticipate that the methods developed here will enable future analyses that assess radiation-induced vascular injury in larger cohorts. Current work is investigating the spatial distribution of these findings throughout the brain and how they relate to measured cognitive deficits in these children.1. Nordal, Robert A. et al. Molecular targets in radiation-induced blood-brain barrier disruption. International Journal of Radiation Oncology*Biology*Physics, Volume 62 , Issue 1 , 279 – 287 2. Roongpiboonsopit D, Kuijf HJ, Charidimou A, et al. Evolution of cerebral microbleeds after cranial irradiation in medulloblastoma patients. Neurology. 2017;88(8):789-796
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4. Wahl M, Anwar M, Hess CP, Chang SM, Lupo JM. Relationship between radiation dose and microbleed formation in patients with malignant glioma. Radiat Oncol. 2017 Aug 10; 12(1):126
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