Real-Time Estimation of Core Infarct in Angiography Using Collateral Flow

Current diagnostic methods for stroke often rely on post-treatment imaging to assess infarction. However, identifying infarct zones in real time during endovascular procedures remains limited. Prior research has shown that collateral flow can influence stroke outcomes, but its precise role in predicting infarct location and volume is unclear. While MRI provides detailed imaging, it is not always available during acute procedures. This gap motivated the need for a method to estimate infarct zones using angiographic data. No prior work had resolved how collateral flow in specific cortical regions could predict infarction during stroke interventions. Existing studies have not fully evaluated the relationship between collateral flow and infarct volume in real time. This paper's contribution is a novel approach to estimate infarct zones using angiographic collateral flow assessments. The study addresses the lack of real-time diagnostic tools during stroke interventions.

This study aimed to develop a regional evaluation of leptomeningeal collateral flow that could be used during stroke endovascular procedures to detect and predict infarction. The specific problem addressed is the lack of real-time diagnostic tools to estimate infarct zones during angiography. The motivation stems from the need to improve stroke intervention outcomes through better infarct prediction. The study sought to correlate collateral flow scores with infarct presence and volume. It also aimed to validate the reproducibility of collateral flow assessments. The goal was to provide a practical method for estimating infarct location and size during procedures. The researchers proposed that collateral flow could serve as a real-time indicator of infarct risk. This approach could guide treatment decisions during stroke interventions.

The study evaluated patients treated for anterior circulation occlusions between 2009 and 2013. Each patient underwent MRI imaging before endovascular procedures. Two independent readers assessed collateral flow in five cortical regions based on vascular anatomy. Regional scores were compared with infarction presence on pretreatment and follow-up imaging. Global collateral scores were calculated for each patient and correlated with infarct volumes. The evaluation focused on retrograde flow to the proximal M4 segment as a key indicator. Inter-rater agreement was measured using the kappa statistic. The study included 89 patients with 408 cortical regions analyzed in total.

The study found a significant correlation between zonal collateral flow and the absence of infarction in the same zone on pretreatment imaging. In a subgroup of 37 recanalized patients, retrograde flow to the proximal M4 segment predicted infarct absence on follow-up imaging with a positive predictive value of 88.7%. Inter-rater agreement for collateral flow to the M4 proximal segment was good (k = 0.77). Global collateral scores correlated with infarct volume on initial imaging. Patients with scores ≥4 had infarct volumes ≤70 ml, whereas those with scores ≤1 had volumes ≥70 ml. The evaluation method showed strong reproducibility across readers. The findings suggest that collateral flow assessments can estimate infarct location and volume in real time. The results support the use of angiographic collateral flow as a diagnostic tool during stroke interventions.

The authors proposed that anatomic collateral flow evaluation during angiography can provide real-time infarct estimation. For each cortical region, good collateral flow is associated with the absence of infarct on pre-treatment imaging. In recanalized patients, collateral flow to the proximal M4 segment predicts infarct absence on follow-up. The study supports the use of collateral flow scores as a practical diagnostic tool during stroke interventions. The findings suggest that collateral flow assessments can guide treatment decisions in real time. The authors emphasized the reproducibility of their method across readers. The results indicate that collateral flow can serve as a reliable indicator of infarct risk. The study concludes that this approach improves diagnostic accuracy during endovascular procedures.