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A total of seven studies demonstrating the use of the DEBs for treatment of carotid ISR were identified. They encompassed 31 patients, 11 (35.5%) of whom presented with symptomatic ISR, with the remaining 20 patients (64.5%) asymptomatic. DEB angioplasty followed by stent placement was performed in 3 patients, whereas DEB alone was utilized in 28 patients. Periprocedural complications included asymptomatic dissection from DEB inflation in 1 patient and transient neurological deficits in another patient. Follow-up period was variable and ranged from 1 month to 5 years. Three patients were noted to develop recurrent asymptomatic stenosis, whereas 1 patient developed an episode of symptomatic restenosis post procedural on follow-up. In our two cases, both patients were noted to have protracted period of hypotension postprocedure without any new or recurrent neurological symptoms. CONCLUSION: The use of DEBs is a promising development and a viable alternative for management of severe and recurrent carotid ISR.

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Quantifying the extent and evolution of cerebral edema developing after stroke is an important but challenging goal. Lesional net water uptake (NWU) is a promising CT-based biomarker of edema, but its measurement requires manually delineating infarcted tissue and mirrored regions in the contralateral hemisphere. We implement an imaging pipeline capable of automatically segmenting the infarct region and calculating NWU from both baseline and follow-up CTs of large-vessel occlusion (LVO) patients. Infarct core is extracted from CT perfusion images using a deconvolution algorithm while infarcts on follow-up CTs were segmented from non-contrast CT (NCCT) using a deep-learning algorithm. These infarct masks were flipped along the brain midline to generate mirrored regions in the contralateral hemisphere of NCCT; NWU was calculated as one minus the ratio of densities between regions, removing voxels segmented as CSF and with HU outside thresholds of 20–80 (normal hemisphere and baseline CT) and 0–40 (infarct region on follow-up). Automated results were compared with those obtained using manually-drawn infarcts and an ASPECTS region-of-interest based method that samples densities within the infarct and normal hemisphere, using intraclass correlation coefficient (ρ). This was tested on serial CTs from 55 patients with anterior circulation LVO (including 66 follow-up CTs). Baseline NWU using automated core was 4.3% (IQR 2.6–7.3) and correlated with manual measurement (ρ = 0.80, p < 0.0001) and ASPECTS (r = −0.60, p = 0.0001). Automatically segmented infarct volumes (median 110-ml) correlated to manually-drawn volumes (ρ = 0.96, p < 0.0001) with median Dice similarity coefficient of 0.83 (IQR 0.72–0.90). Automated NWU was 24.6% (IQR 20–27) and highly correlated to NWU from manually-drawn infarcts (ρ = 0.98) and the sampling-based method (ρ = 0.68, both p < 0.0001). We conclude that this automated imaging pipeline is able to accurately quantify region of infarction and NWU from serial CTs and could be leveraged to study the evolution and impact of edema in large cohorts of stroke patients.

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