Follow-Up Infarct Volume Prediction by CTP-Based Hypoperfusion Index, and the Discrepancy between Small Follow-Up Infarct Volume and Poor Functional Outcome—A Multicenter Study

Author:

Zhou Pengyu1,Li Ran1ORCID,Liu Siyun2,Wang Jincheng3,Huang Lixiang4,Song Bin5,Tang Xiaoqiang6,Chen Boyu7,Yang Haiting8,Zhu Chengcheng9,Malhotra Ajay10,Wang Yuting1ORCID

Affiliation:

1. Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 610056, China

2. GE Healthcare, Beijing 100176, China

3. Department of Radiology, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310027, China

4. Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin 300071, China

5. Minhang Hospital, Fudan University, Shanghai 200437, China

6. The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou 213003, China

7. The First Affiliated Hospital, China Medical University, Shenyang 110122, China

8. Lanzhou University Second Hospital, Lanzhou 730030, China

9. Department of Radiology, University of Washington, Seattle, WA 98101, USA

10. Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06501, USA

Abstract

(1) Background: Follow-up infarct volume (FIV) may have implications for prognostication in acute ischemic stroke patients. Factors predicting the discrepancy between FIV and 90-day outcomes are poorly understood. We aimed to develop a comprehensive predictive model of FIV and explore factors associated with the discrepancy. (2) Methods: Patients with acute anterior circulation large vessel occlusion were included. Baseline clinical and CT features were extracted and analyzed, including the CTP-based hypoperfusion index (HI) and the NCCT-based e-ASPECT, measured by automated software. FIV was assessed on follow-up NCCT at 3–7 days. Multiple linear regression was used to construct the predictive model. Subgroup analysis was performed to explore factors associated with poor outcomes (90-mRS scores 3–6) in small FIV (<70 mL). (3) Results: There were 170 patients included. Baseline e-ASPECT, infarct core volume, hypoperfusion volume, HI, baseline international normalized ratio, and successful recanalization were associated with FIV and included in constructing the predictive model. Baseline NIHSS, baseline hypertension, stroke history, and current tobacco use were associated with poor outcomes in small FIV. (4) Conclusions: A comprehensive predictive model (including HI) of FIV was constructed. We also emphasized the importance of hypertension and smoking status at baseline for the functional outcomes in patients with a small FIV.

Funder

Research Project of Healthcare for Cadres of Sichuan province

Sichuan Provincial Natural Science Foundation

Publisher

MDPI AG

Subject

Clinical Biochemistry

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