The single-phase computed tomographic angiography clot burden score is independently associated with digital subtraction angiography derived American Society of Interventional and Therapeutic Neuroradiology collateral score

Author:

Lakhani Dhairya A12ORCID,Balar Aneri B1,Koneru Manisha3,Wen Sijin4,Ozkara Burak Berksu5,Wang Richard1,Hoseinyazdi Meisam1,Nabi Mehreen1,Mazumdar Ishan1,Cho Andrew1,Chen Kevin1,Sepehri Sadra1,Xu Risheng1,Urrutia Victor1,Albers Greg W6,Rai Ansaar T2,Yedavalli Vivek S1

Affiliation:

1. Department of Radiology and Radiological Sciences, Johns Hopkins University , Baltimore, MD, 21287, United States

2. Department of Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University , Morgantown, WV, 26505, United States

3. Cooper Medical School of Rowan University , Camden, NJ, 08103, United States

4. Department of Biostatistics, West Virginia University , Morgantown, WV, 26505, United States

5. Department of Radiology, MD Anderson Cancer Center, University of Texas , Houston, TX, 77030, United States

6. Department of Neurology, Stanford University , Stanford, CA, 94305, United States

Abstract

Abstract Objectives The variation in quality and quantity of collateral status (CS) is in part responsible for a wide variability in extent of neural damage following acute ischemic stroke from large vessel occlusion (AIS-LVO). Single-phase CTA based clot burden score (CBS) is a promising marker in estimating CS. The aim of this study is to assess the relationship of pretreatment CTA based CBS with the reference standard Digital subtraction angiography (DSA) based American Society of Interventional and Therapeutic Neuroradiology (ASITN) CS. Methods In this retrospective study, inclusion criteria were as follows: (1) Anterior circulation LVO confirmed on CTA from January 9, 2017 to January 10, 2023; (2) diagnostic CTA; and (3) underwent mechanical thrombectomy with documented DSA CS. Spearman’s rank correlation analysis, multivariate logistic regression and ROC analysis was performed to assess the correlation of CTA CBS with DSA CS. P ≤ .05 was considered significant. Results 292 consecutive patients (median age = 68 years; 56.2% female) met our inclusion criteria. CTA CBS and DSA CS showed significant positive correlation (ρ = 0.51, P < .001). On multivariate logistic regression analysis CBS was found to be independently associated with DSA CS (adjusted OR = 1.83, P < .001, 95% CI: 1.54-2.19), after adjusting for age, sex, race, hyperlipidemia, hypertension, diabetes, prior stroke or transient ischemic attack, atrial fibrillation, premorbid mRS, admission NIH stroke scale, and ASPECTS. ROC analysis of CBS in predicting good DSA CS showed AUC of 0.76 (P < .001; 95% CI: 0.68-0.82). CBS threshold of > 6 has 84.6% sensitivity and 42.3% specificity in predicting good DSA CS. Conclusion CTA CBS is independently associated with DSA CS and serves as a valuable supplementary tool for CS estimation. Further research is necessary to enhance our understanding of the role of CTA CBS in clinical decision-making for patients with AIS-LVO. Advances in knowledge CBS by indirectly estimating CS has shown to predict outcomes in AIS-LVO patients. No studies report association of CBS with reference standard DSA. In this study we further establish CBS as an independent marker of CS.

Funder

Johns Hopkins University Department of Radiology Physician Scientist Incubator Program

Publisher

Oxford University Press (OUP)

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