Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2025 Dec 1.
Published in final edited form as: J Clin Neurosci. 2024 Nov 13;130:110907. doi: 10.1016/j.jocn.2024.110907

CT perfusion derived relative cerebral blood volume < 42% is negatively associated with poor functional outcomes at discharge in anterior circulation large vessel occlusion stroke

Dhairya A Lakhani 1,2,*, Aneri B Balar 1,*, Vaibhav Vagal 3, Hamza Salim 2, Janet Mei 2, Manisha Koneru 4, Sijin Wen 5, Burak Berksu Ozkara 6, Hanzhang Lu 2, Richard Wang 2, Risheng Xu 2, Mehreen Nabi 2, Ishan Mazumdar 2, Andrew Cho 2, Kevin Chen 2, Sadra Sepehri 2, Francis Deng 2, Nathan Hyson 2, Victor Urrutia 2, Licia P Luna 2, Aakanksha Sriwastwa 7, Argye E Hillis 8, Jeremy J Heit 9, Greg W Albers 9, Ansaar T Rai 1, Adam A Dmytriw 10, Tobias D Faizy 11, Max Wintermark 6, Kambiz Nael 12, Vivek S Yedavalli 2
PMCID: PMC11619084  NIHMSID: NIHMS2036468  PMID: 39536379

Abstract

Background and aim:

Recent studies have shown that the CT Perfusion (CTP) parameter of rCBV <42% lesion volume can predict 90-day functional outcomes in stroke patients. However, its correlation with discharge outcomes, including functional dependence, has not been investigated. Our study aims to evaluate the relationship between rCBV <42% and poor functional outcomes at discharge, defined as a modified Rankin score (mRS) of 3 or higher.

Materials and methods:

This retrospective study analyzed patients with confirmed occlusion on CT angiography, who also received CT perfusion between 9/1/2017 and 10/01/2023. Statistical tests (Student’s T, Mann-Whitney U, and Chi-Square) were used to assess differences. Univariable and multivariable logistic regression analyses were performed to evaluate the associations of rCBV <42% with discharge mRS. A p-value ≤ 0.05 was considered significant.

Results:

A total of 268 patients [median age: 68 years (IQR: 59–77), 56.3% female] met the inclusion criteria. Among them, 85 patients (31.7%) received intravenous thrombolysis (IVT), and 221 patients (82.5%) underwent mechanical thrombectomy (MT). After adjusting for various variables, logistic regression analysis indicated that rCBV <42% lesion volume was associated with poor functional outcomes at discharge (aOR=0.97, p<0.05). T

Conclusion:

The rCBV <42% could be a valuable tool in prognosticating AIS-LVO patients.

Keywords: Relative cerebral blood volume, rCBV <42%, infarct volume

INTRODUCTION

Cerebral blood volume (CBV) offers an important assessment of the brain’s compensatory response to a large vessel occlusion (LVO) by quantifying collateral blood flow113. CT perfusion imaging is helpful for automated assessment of CBV, however, there is a considerable variability in the published definitions across studies and in different commercially available CTP softwares14,6,14. Despite these differences CBV remains a critical determinant of ischemic core and infarct growth rate14.

Most automated software platforms estimate CBV in the affected region relative to the non-affected hemisphere. For instance, RAPID (IschemaView, Menlo Park, CA) software calculates relative CBV (rCBV) by comparing the average CBV values in the Tmax >6s region of the affected hemisphere to the average CBV values in the unaffected brain parenchyma within the Tmax ≤4s area, thus indirectly quantifying the degree of compensation in the hypoperfused territory1,5,7,15.

Recent research has highlighted the prognostic value of rCBV in AIS-LVO patients. A study found that an increased lesion volume with rCBV <42% was independently associated with worse functional outcomes at 90 days and demonstrating superiority of rCBF<42% compared to other rCBV parameters16. However, it did not specifically assess the relationship between rCBV <42% and short-term outcomes such as functional outcomes at discharge. Additional studies have underscored the importance of early and accurate CBV measurement in guiding therapeutic decisions and improving patient outcomes1723.

Understanding and improving discharge functional status can significantly impact patient quality of life and long-term recovery for AIS-LVO patients. Studies have shown that better functional outcomes at discharge correlate with reduced long-term disability and lower healthcare costs. Discharge mRS serves as a predictor for discharge destination, the necessity of post-discharge services such as rehabilitation and nursing care, and provides an estimate of subsequent care needs, resource requirements, and healthcare expenses24,25. Furthermore, discharge mRS and discharge disposition have also been demonstrated to be good individual predictors of 90-day mRS for ischemic stroke patients following treatment26.

Therefore, the aim of our study is to investigate the relationship between rCBV <42% lesion volume and functional outcomes at discharge in patients with anterior circulation AIS-LVO. We hypothesize that larger rCBV <42% volumes are associated with poorer functional outcomes, defined as a discharge modified Rankin Scale (mRS) score of 3 or higher.

METHODS

Study Design

We performed a retrospective analysis of prospectively maintained stroke databases, and we identified consecutive patients from two comprehensive stroke centers from September 01, 2017 to October 01, 2023 who met our inclusion criteria. This study was approved through the blinded for peer-review institutional review board (IRB #blinded for peer-review).

Study Participants

The inclusion criteria for this study were: a) diagnostically adequate multimodal pretreatment CT imaging including noncontrast head CT (NCCT), CT angiography (CTA), and CTP; b) AIS due to a CTA confirmed large vessel occlusion of the distal supraclinoid segment of the internal carotid artery (ICA), M1-segment of middle cerebral artery (MCA), and proximal M2-segment of MCA27(Figure 1).

Figure 1:

Figure 1:

Study flowchart

The study was conducted in accordance with the Declaration of Helsinki and the Health Insurance Portability and Accountability Act (HIPAA). Informed consent was waived by the institutional review boards given the retrospective study design. The decisions to administer IV thrombolysis and/or perform MT were made on an individual basis based on consensus stroke team evaluation per institutional protocols.

Data Collection

The demographics and clinical variables relevant to stroke management were collected through the electronic medical records for each patient. This includes discharge mRS and LOS. The imaging markers on NCCT, CTA and CTP including ASPECTS, site of occlusion and different RAPID derived CTP variables were also collected. All these measures were prospectively collected and maintained in our database.

CTP Image Acquisition and Post-processing:

Whole brain pretreatment CTP was performed on the Siemens Somatom Force (Erlangen, Germany) with the following parameters: 70 kVP, 200 Effective mAs, Rotation Time 0.25 s, Average Acquisition Time 60 s, Collimation 48 × 1.2 mm, Pitch Value 0.7, 4D Range 114 mm × 1.5 seconds.

CTP source images were then post-processed using commercial RAPID perfusion software, version 5.2.2 (iSchemaView, Menlo Park, CA) to generate rCBV <42% volume.

Image Analysis

All the CTPs were assessed by board certified neuroradiologists with 9 years of working experience for diagnostic adequacy of the CTPs, where only those deemed diagnostic adequate were included in the study.

Statistical Analysis

Categorical data was described using contingency tables including counts and percentages; continuous variables were summarized with median (interquartile range). A student t-test was used in the data analysis for continuous variables, Mann-Whitney U test was used in the data analysis for ordinal data and Chi Square test was used for categorical data.

Univariable and multivariable logistic regression models were employed to assess the association of rCBV <42% volume (per 10 ml) and the outcome measure, which was dichotomized as discharge mRS 3 or more26. The multivariable regression model considered several variables, including age (per 10 years), sex, race, hypertension, hyperlipidemia, diabetes mellitus, atrial fibrillation, prior transient ischemic attack or stroke, intravenous thrombolysis (IVT), admission NIH stroke scale, Alberta Stroke Program Early CT Score (ASPECTS), and mechanical thrombectomy (MT). The outcomes were reported as unadjusted odds ratio (uOR) and adjusted odds ratio (aOR) with 95% confidence interval (CI).

The receiver operating characteristic curve (ROC) analysis was performed to assess the ability of rCBV<42% volume to predict poor functional outcomes at discharge. Statistically significant analysis was described as p≤0.05, p<0.01 and p<0.001.

RESULTS

A total of 268 consecutive patients met our inclusion criteria with median age of 68 years (IQR: 59–77) and 56.3% being female. Among these patients, 85 (31.7%) received IVT, and 221 (82.5%) underwent MT (Table 1).

Table 1:

Study demographics

Total (n=268)
Number / Median (Percentage / Interquartile range)
Segment Occlusion
M1 193 (72.0%)
Proximal M2 53 (19.8%)
Supraclinoid intracranial ICA 22 (8.2%)
Sex
Female 151 (56.3%)
Male 117 (43.7%)
Age 68.0 (59.0 – 77.0)
Race
African American 115 (42.9%)
Caucasian 133 (49.6%)
Asian 10 (3.7%)
Others 10 (3.7%)
Hypertension 209 (78.0%)
Hyperlipidemia 142 (53.0%)
Heart Disease 139 (51.9%)
Atrial Fibrillation 103 (38.4%)
Prior TIA or stroke 54 (20.1%)
Premorbid mRS
0 175 (65.4%)
1 37 (13.8%)
2 21 (8.0%)
3 32 (12.3%)
4 2 (0.8%)
5 1 (0.4%)
ASPECTS
0 4 (1.5%)
1 1 (0.4%)
2 5 (1.9%)
3 2 (0.7%)
4 5 (1.9%)
5 13 (4.9%)
6 20 (7.5%)
7 23 (8.6%)
8 41 (15.3%)
9 40 (14.9%)
10 114 (42.5%)
rCBF < 30% lesion volume >= 50 ml 51 (19.0%)
rCBF < 30% lesion volume < 50 ml 217 (81.0%)
Hemorrhagic transformation 92 (36.8%)
Mechanical Thrombectomy 221 (82.5%)
mTici
0 8 (3.9%)
1 5 (2.4%)
2A 7 (3.4%)
2B 50 (24.4%)
2C 34 (16.6%)
3 101 (49.3%)
Smoking 132 (50.0%)
Alcohol 80 (30.3%)
IVT 85 (31.7%)
Diabetes 70 (26.1%)
Admission NIHSS 15.0 (10.0 – 20.0)
Admission body mass index (kg/m2) 27.3 (22.8 – 33.0)
rCBF <30% lesion volume in ml 6.5 (0.0 – 35.5)
rCBV <42% lesion volume in ml 6.0 (0.0 – 32.0)
Length of hospitaliztion in days 7.0 (4.0 – 14.0)
Discharge NIHSS 5.0 (2.0 – 12.5)
Symptom onset to door time in minutes 67.0 (42.0 – 138.0)
Door to needle time in minutes 59.0 (44.0 – 82.0)
Door to groin puncture time in minutes 157.5 (128.5 – 235.5)
Door to recanalization time in minutes 280.0 (192.0 – 394.0)

Abbreviations:

rCBV: Relative CBV; NIHSS: National Institute of Health Stroke Scale; CTP: CT perfusion; ICA: internal carotid artery; mRS: Modified Rankin Score; MCA: Middle cerebral artery; IVT: intravenous thrombolysis; mTiCI: Modified treatment in cerebral infarction (mTICI) score; ASPECTS: Alberta Stroke Program Early CT Score

Of the 268 patients, 193 (72.0%) had M1 segment occlusion, 53 (19.8%) had proximal M2 segment occlusion and 22 (8.2%) had supraclinoid intracranial ICA occlusion.

Detailed patient demographics, imaging parameters and stroke treatment information are provided in Table 1 and 2.

Table 2:

Logistic regression analysis with dichotomized functional outcomes at discharge (mRS 0–2 versus 3–6).

Variables to predict discharge mRS 0–2 Univariable logistic regression Multivariable logistic regression
Unadjusted OR 95% CI of unadjusted OR p value Adjusted OR 95% CI of adjusted OR p value
Lower Upper Lower Upper
Age (per 10 years) 0.71 0.60 0.85 <0.001 0.63 0.51 0.79 <0.001
Sex 1.42 0.82 2.45 0.21
Race 1.34 0.93 1.94 0.12
Hypertension 0.50 0.27 0.93 <0.05 0.79 0.39 1.63 0.53
Hyperlipidemia 0.99 0.58 1.71 0.98
Diabetes 0.38 0.18 0.80 <0.05 0.34 0.14 0.79 <0.05
Atrial Fibrillation 0.72 0.41 1.28 0.27
Prior Transient Ischemic Attack or Stroke 0.99 0.50 1.95 0.97
Intravenous Thrombolysis 1.95 1.11 3.44 <0.05 1.61 0.83 3.11 0.16
Admission NIHSS 0.88 0.84 0.92 <0.001 0.91 0.87 0.95 <0.001
ASPECTS 1.27 1.08 1.50 <0.01 1.33 1.07 1.65 <0.01
Mechanical Thrombectomy 1.61 0.74 3.53 0.23
rCBV < 42% lesion volume (per 10 ml) 0.73 0.61 0.87 0.001 0.77 0.62 0.96 <0.05

rCBV <42% lesion volume and discharge mRS

Patients with poor functional outcomes had a significantly larger rCBV <42% lesion volume compared to those with good functional outcomes (9 ml, IQR: 0–38 versus 0 ml, IQR: 0–13, p<0.001) (Figure 2).

Figure 2:

Figure 2:

Box and whisker plot showing the distribution of rCBV <42% lesion volume in patients with good and poor functional outcomes at discharge (mRS 0–2 and mRS 3–6). The box plot displays median and interquartile range, while the whiskers represent minimum and maximum values.

Logistic regression analysis showed an inverse relationship between rCBV <42% lesion volume and functional outcomes. A higher rCBV <42% lesion volume was associated with increased odds of a poor functional outcome (mRS 3–6), with an unadjusted odds ratio (uOR) of 0.73 (95% CI: 0.61–0.87, p=0.001) and an adjusted odds ratio (aOR) of 0.77 (95% CI: 0.62–0.96, p<0.05) (Table 2).

ROC analysis of rCBV <42% volume in predicting poor functional outcomes at discharge demonstrated an AUC of 0.65 (p<0.001; 95% CI: 0.58–0.71).

Other variables and discharge mRS

Advanced age (aOR: 0.63, p<0.001), higher admission NIH stroke scale (aOR: 0.91, p<0.001), diabetes (aOR: 0.34, p<0.05), and lower ASPECTS (aOR 1.33, p<0.01), were associated with poor functional outcomes at discharge (Table 2).

In univariable analysis, the presence of hypertension and lack of IVT administration were associated with increased odds of poor functional outcomes. However, after adjusting for other confounding variables, these factors were not significantly associated with discharge mRS (Table 2)

DISCUSSION

Our study found that a higher rCBV <42% lesion volume is associated with poor functional outcomes at discharge in patients with anterior circulation AIS-LVO, a relationship that had not been established previously. This finding underscores the value of rCBV <42% as an additional prognostic biomarker for short-term outcomes in this patient population. Furthermore, in keeping with existing literature advanced age, higher admission NIH stroke scale, diabetes, and lower ASPECTS were also associated with poor functional outcomes.

The rCBV thresholds are used to evaluate cerebral blood volume (CBV) in ischemic regions (Tmax >6s) compared to unaffected areas (Tmax ≤4s), providing an estimate of hypoperfused tissue. In response to ischemia, cerebral autoregulation triggers a typical homeostatic reaction characterized by vasodilation and increased oxygen extraction, thereby elevating CBV through collateral circulation pathways routes10,11,2832. This process helps to maintain adequate blood flow and oxygen delivery to the affected brain tissue.

However, when compensatory vasodilation is insufficient, CBV is reduced, indicating a failure in cerebral autoregulation. This disruption in autoregulation leads to a higher rate of infarct growth compared to patients who exhibit a more robust compensatory response resulting in greater tissue damage and worsened outcomes10,11,28–32.

A few previous studies have assessed rCBV as a promising imaging biomarker for infarct progression1, collaterals1, and 90-day mRS16. However, none of these studies have examined rCBV as a determinant of functional outcomes at discharge. Poor functional outcomes at discharge are linked to increased morbidity, an increased risk of complications during hospitalization, and increased healthcare costs33,34.

Our findings further corroborate that rCBV effectively quantifies blood volume in hypoperfused regions and captures the degree of compensatory response and collateral status. The ability to generate a sufficient compensatory response, as reflected by lower volumes of tissue with rCBV <42%, appears to be crucial for better functional outcomes at discharge. This insufficiency in collateral circulation and autoregulation likely leads to greater ischemic damage and slower recovery. These findings align with previous studies that have shown the importance of collateral circulation in maintaining cerebral perfusion and mitigating infarct growth17,3542.

There are multiple important limitations in our study including the inherent limitations of a retrospective study design. One specific limitation is that we did not account for unrelated in-hospital medical complications that may affect the functional outcomes at discharge. Additionally, while CTP imaging provides valuable insights, it may not be readily available in smaller stroke centers. This limitation can affect the generalizability of our findings to all stroke care settings. Despite these limitations, our study is strengthened by the substantial sample size of 268 patients from two comprehensive stroke centers that serve diverse demographics.

In conclusion, our results highlight the significance of rCBV <42% lesion volume as a prognostic biomarker of short-term outcomes. This parameter may serve as a valuable adjunct tool in prognostication of AIS-LVO patients. Further research is needed to expand our understanding of the adjunct role of rCBV <42% as compared to other pretreatment imaging-based markers in prognostication for AIS-LVO patients. Additionally, combining rCBV with other imaging biomarkers could provide a more comprehensive prognostic model, improving individualized patient care.

Highlights: Association of CT Perfusion-Derived rCBV <42% Volume with Poor Discharge Outcomes in Anterior Circulation Stroke.

  • Our study evaluated the relationship between rCBV <42% and discharge outcomes.

  • This study analyzed patients with confirmed occlusion on CT angiography.

  • Analysis showed that rCBV <42% was associated with poor outcomes at discharge.

  • This parameter could be a valuable tool in prognosticating AIS-LVO patients.

ACKNOWLEDGEMENT:

This study is supported by the Johns Hopkins University Department of Radiology Physician Scientist Incubator Program (RAD-PSI) to VSY and the Johns Hopkins School of Medicine Physician Scientist Scholar Program to DAL

FUNDING:

Research reported in this publication was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number 5U54GM104942-08. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health

FUNDING:

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

ABBREVIATIONS:

AIS-LVO

Acute ischemic stroke secondary to large vessel occlusion

rCBV

Relative CBV

MT

Mechanical thrombectomy

NCCT

Non-contrast CT head

NIHSS

National Institute of Health Stroke Scale

CTA

CT angiography

CTP

CT perfusion

ICA

internal carotid artery

mRS

Modified Rankin Score

MCA

Middle cerebral artery

IVT

intravenous thrombolysis

mTiCI

Modified treatment in cerebral infarction (mTICI) score

ASPECTS

Alberta Stroke Program Early CT Score

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

CONFLICT OF INTEREST: Drs. Dhairya Lakhani, Greg Albers, Jeremy Heit, and Vivek Yedavalli are consultants for Rapid (iSchemaView, Menlo Park, CA).

REFERENCES

  • 1.Arenillas JF, Cortijo E, García-Bermejo P, et al. Relative cerebral blood volume is associated with collateral status and infarct growth in stroke patients in SWIFT PRIME. J Cereb Blood Flow Metab. Oct 2018;38(10):1839–1847. doi: 10.1177/0271678X17740293 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Park HS, Cha JK, Kim DH, Kang MJ, Choi JH, Huh JT. The rCBV ratio on perfusion-weighted imaging reveals the extent of blood flow on conventional angiography after acute ischemic stroke. Clin Neurol Neurosurg. Jul 2014;122:54–8. doi: 10.1016/j.clineuro.2014.04.001 [DOI] [PubMed] [Google Scholar]
  • 3.Cortijo E, Calleja AI, García-Bermejo P, et al. Relative cerebral blood volume as a marker of durable tissue-at-risk viability in hyperacute ischemic stroke. Stroke. Jan 2014;45(1):113–8. doi: 10.1161/STROKEAHA.113.003340 [DOI] [PubMed] [Google Scholar]
  • 4.Ban M, Han X, Bao W, Zhang H, Zhang P. Evaluation of collateral status and outcome in patients with middle cerebral artery stenosis in late time window by CT perfusion imaging. Front Neurol. 2022;13:991023. doi: 10.3389/fneur.2022.991023 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Lakhani DA, Balar AB, Salim H, et al. CT Perfusion Derived rCBV < 42% Lesion Volume Is Independently Associated with Followup FLAIR Infarct Volume in Anterior Circulation Large Vessel Occlusion. Diagnostics (Basel). Apr 19 2024;14(8)doi: 10.3390/diagnostics14080845 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Rehman S, Nadeem A, Akram U, et al. Molecular Mechanisms of Ischemic Stroke: A Review Integrating Clinical Imaging and Therapeutic Perspectives. Biomedicines. Apr 07 2024;12(4)doi: 10.3390/biomedicines12040812 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Lakhani DA, Balar AB, Koneru M, et al. The Relative Cerebral Blood Volume (rCBV) < 42% Is Independently Associated with Collateral Status in Anterior Circulation Large Vessel Occlusion. J Clin Med. Mar 10 2024;13(6)doi: 10.3390/jcm13061588 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lakhani DA, Balar AB, Koneru M, et al. CT perfusion based rCBF <38% volume is independently and negatively associated with digital subtraction angiography collateral score in anterior circulation large vessel occlusions. Neuroradiol J. Mar 25 2024:19714009241242639. doi: 10.1177/19714009241242639 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Salim H, Lakhani DA, Balar A, et al. Follow-up infarct volume on fluid attenuated inversion recovery (FLAIR) imaging in distal medium vessel occlusions: the role of cerebral blood volume index. J Neurol. Mar 20 2024;doi: 10.1007/s00415-024-12279-3 [DOI] [PubMed] [Google Scholar]
  • 10.Lakhani DA, Balar AB, Koneru M, et al. The Compensation Index Is Better Associated with DSA ASITN Collateral Score Compared to the Cerebral Blood Volume Index and Hypoperfusion Intensity Ratio. J Clin Med. Nov 28 2023;12(23)doi: 10.3390/jcm12237365 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Lakhani DA, Balar AB, Koneru M, et al. Pretreatment CT perfusion collateral parameters correlate with penumbra salvage in middle cerebral artery occlusion. J Neuroimaging. Dec 06 2023;doi: 10.1111/jon.13178 [DOI] [PubMed] [Google Scholar]
  • 12.Yedavalli VS, Koneru M, Hoseinyazdi M, et al. Prolonged venous transit on perfusion imaging is associated with higher odds of mortality in successfully reperfused patients with large vessel occlusion stroke. J Neurointerv Surg. Mar 12 2024;doi: 10.1136/jnis-2024-021488 [DOI] [PubMed] [Google Scholar]
  • 13.Koneru M, Hoseinyazdi M, Lakhani DA, et al. Redefining CT perfusion-based ischemic core estimates for the ghost core in early time window stroke. J Neuroimaging. Dec 25 2023;doi: 10.1111/jon.13180 [DOI] [PubMed] [Google Scholar]
  • 14.Sohn SW, Park HS, Cha JK, et al. Relative CBV ratio on perfusion-weighted MRI indicates the probability of early recanalization after IV t-PA administration for acute ischemic stroke. J Neurointerv Surg. Mar 2016;8(3):235–9. doi: 10.1136/neurintsurg-2014-011501 [DOI] [PubMed] [Google Scholar]
  • 15.Zhang Y, Song S, Li Z, Huang B, Geng Y, Zhang L. The Application of Software “Rapid Processing of Perfusion and Diffusion” in Acute Ischemic Stroke. Brain Sci. Oct 27 2022;12(11)doi: 10.3390/brainsci12111451 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Rex NB, McDonough RV, Ospel JM, et al. CT Perfusion Does Not Modify the Effect of Reperfusion in Patients with Acute Ischemic Stroke Undergoing Endovascular Treatment in the ESCAPE-NA1 Trial. AJNR Am J Neuroradiol. Sep 2023;44(9):1045–1049. doi: 10.3174/ajnr.A7954 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Liebeskind DS. Collateral circulation. Stroke. Sep 2003;34(9):2279–84. doi: 10.1161/01.STR.0000086465.41263.06 [DOI] [PubMed] [Google Scholar]
  • 18.Bang OY, Saver JL, Kim SJ, et al. Collateral flow predicts response to endovascular therapy for acute ischemic stroke. Stroke. Mar 2011;42(3):693–9. doi: 10.1161/STROKEAHA.110.595256 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Powers WJ, Rabinstein AA, Ackerson T, et al. 2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke. Mar 2018;49(3):e46–e110. doi: 10.1161/STR.0000000000000158 [DOI] [PubMed] [Google Scholar]
  • 20.Saver JL, Goyal M, van der Lugt A, et al. Time to Treatment With Endovascular Thrombectomy and Outcomes From Ischemic Stroke: A Meta-analysis. JAMA. Sep 27 2016;316(12):1279–88. doi: 10.1001/jama.2016.13647 [DOI] [PubMed] [Google Scholar]
  • 21.Nogueira RG, Jadhav AP, Haussen DC, et al. Thrombectomy 6 to 24 Hours after Stroke with a Mismatch between Deficit and Infarct. N Engl J Med. Jan 04 2018;378(1):11–21. doi: 10.1056/NEJMoa1706442 [DOI] [PubMed] [Google Scholar]
  • 22.Mei J, Salim HA, Lakhani DA, et al. Lower admission stroke severity is associated with good collateral status in distal medium vessel occlusion stroke. J Neuroimaging. May 26 2024;doi: 10.1111/jon.13208 [DOI] [PubMed] [Google Scholar]
  • 23.Lakhani DA, Mehta TR, Balar AB, et al. The Los Angeles motor scale (LAMS) is independently associated with CT perfusion collateral status markers. J Clin Neurosci. May 11 2024;125:32–37. doi: 10.1016/j.jocn.2024.05.005 [DOI] [PubMed] [Google Scholar]
  • 24.Qureshi AI, Chaudhry SA, Sapkota BL, Rodriguez GJ, Suri MF. Discharge destination as a surrogate for Modified Rankin Scale defined outcomes at 3- and 12-months poststroke among stroke survivors. Arch Phys Med Rehabil. Aug 2012;93(8):1408–1413.e1. doi: 10.1016/j.apmr.2012.02.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Westerlind E, Hörsell D, Persson HC. Different predictors after stroke depending on functional dependency at discharge: a 5-year follow up study. BMC Neurol. Jul 01 2020;20(1):263. doi: 10.1186/s12883-020-01840-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.ElHabr AK, Katz JM, Wang J, et al. Predicting 90-day modified Rankin Scale score with discharge information in acute ischaemic stroke patients following treatment. BMJ Neurol Open. 2021;3(1):e000177. doi: 10.1136/bmjno-2021-000177 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Beume LA, Hieber M, Kaller CP, et al. Large Vessel Occlusion in Acute Stroke. Stroke. Oct 2018;49(10):2323–2329. doi: 10.1161/STROKEAHA.118.022253 [DOI] [PubMed] [Google Scholar]
  • 28.Xu Y, Guo S, Jiang H, Han H, Sun J, Wu X. Collateral Status and Clinical Outcomes after Mechanical Thrombectomy in Patients with Anterior Circulation Occlusion. J Healthc Eng. 2022;2022:7796700. doi: 10.1155/2022/7796700 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Wang YJ, Wang JQ, Qiu J, et al. Association between collaterals, cerebral circulation time and outcome after thrombectomy of stroke. Ann Clin Transl Neurol. Feb 2023;10(2):266–275. doi: 10.1002/acn3.51718 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Vagal A, Aviv R, Sucharew H, et al. Collateral Clock Is More Important Than Time Clock for Tissue Fate. Stroke. Sep 2018;49(9):2102–2107. doi: 10.1161/STROKEAHA.118.021484 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Shuaib A, Butcher K, Mohammad AA, Saqqur M, Liebeskind DS. Collateral blood vessels in acute ischaemic stroke: a potential therapeutic target. Lancet Neurol. Oct 2011;10(10):909–21. doi: 10.1016/S1474-4422(11)70195-8 [DOI] [PubMed] [Google Scholar]
  • 32.Rao VL, Mlynash M, Christensen S, et al. Collateral status contributes to differences between observed and predicted 24-h infarct volumes in DEFUSE 3. J Cereb Blood Flow Metab. Oct 2020;40(10):1966–1974. doi: 10.1177/0271678X20918816 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Rosman M, Rachminov O, Segal O, Segal G. Prolonged patients’ In-Hospital Waiting Period after discharge eligibility is associated with increased risk of infection, morbidity and mortality: a retrospective cohort analysis. BMC Health Serv Res. Jun 25 2015;15:246. doi: 10.1186/s12913-015-0929-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Huang YC, Hu CJ, Lee TH, et al. The impact factors on the cost and length of stay among acute ischemic stroke. J Stroke Cerebrovasc Dis. Oct 2013;22(7):e152–8. doi: 10.1016/j.jstrokecerebrovasdis.2012.10.014 [DOI] [PubMed] [Google Scholar]
  • 35.Bang OY, Saver JL, Kim SJ, et al. Collateral flow averts hemorrhagic transformation after endovascular therapy for acute ischemic stroke. Stroke. Aug 2011;42(8):2235–9. doi: 10.1161/STROKEAHA.110.604603 [DOI] [PubMed] [Google Scholar]
  • 36.Goyal M, Menon BK, van Zwam WH, et al. Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials. Lancet. Apr 23 2016;387(10029):1723–31. doi: 10.1016/S0140-6736(16)00163-X [DOI] [PubMed] [Google Scholar]
  • 37.Salim HA, Pulli B, Yedavalli V, Musmar B, Adeeb N, Lakhani D, Essibayi MA, El Naamani K, Henninger N, Sundararajan SH, Kühn AL, Khalife J, Ghozy S, Scarcia L, Grewal I, Tan BY, Regenhardt RW, Heit JJ, Cancelliere NM, Bernstock JD, Rouchaud A, Fiehler J, Sheth S, Puri AS, Dyzmann C, Colasurdo M, Barreau X, Renieri L, Filipe JP, Harker P, Radu RA, Abdalkader M, Klein P, Marotta TR, Spears J, Ota T, Mowla A, Jabbour P, Biswas A, Clarençon F, Siegler JE, Nguyen TN, Varela R, Baker A, Altschul D, Gonzalez NR, Möhlenbruch MA, Costalat V, Gory B, Stracke CP, Aziz-Sultan MA, Hecker C, Shaikh H, Griessenauer CJ, Liebeskind DS, Pedicelli A, Alexandre AM, Tancredi I, Faizy TD, Kalsoum E, Lubicz B, Patel AB, Pereira VM, Wintermark M, Guenego A, Dmytriw AA. Endovascular therapy versus medical management in isolated posterior cerebral artery acute ischemic stroke: A multinational multicenter propensity score-weighted study. Eur Stroke J. 2024. Oct 21:23969873241291465. doi: 10.1177/23969873241291465. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Yedavalli V, Adel Salim H, Lakhani DA, Balar A, Mei J, Luna L, Deng F, Hyson NZ, Fiehler J, Stracke P, Broocks G, Heitkamp C, Albers GW, Wintermark M, Faizy TD, Heit JJ. High Hypoperfusion Intensity Ratio Is Independently Associated with Very Poor Outcomes in Large Ischemic Core Stroke. Clin Neuroradiol. 2024. Oct 7. doi: 10.1007/s00062-024-01463-7. Epub ahead of print. [DOI] [PubMed] [Google Scholar]
  • 39.Wang R, Lakhani DA, Balar AB, Sepehri S, Hyson N, Luna LP, Cho A, Hillis AE, Koneru M, Hoseinyazdi M, Lu H, Mei J, Xu R, Nabi M, Mazumdar I, Urrutia VC, Chen K, Huang J, Nael K, Yedavalli VS. The Los Angeles motor scale (LAMS) and ASPECTS score are independently associated with DSA ASITN collateral score. Interv Neuroradiol. 2024. Oct 1:15910199241282434. doi: 10.1177/15910199241282434. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Lakhani DA, Balar AB, Koneru M, Wen S, Ozkara B, Wang R, Hoseinyazdi M, Nabi M, Mazumdar I, Cho A, Chen K, Sepehri S, Xu R, Urrutia V, Albers GW, Rai AT, Yedavalli VS. The single-phase CTA Clot Burden Score is independently associated with DSA ASITN collateral score. Br J Radiol. 2024. Sep 5:tqae181. doi: 10.1093/bjr/tqae181. Epub ahead of print. [DOI] [PubMed] [Google Scholar]
  • 41.Yedavalli V, Salim HA, Mei J, Lakhani DA, Balar A, Musmar B, Adeeb N, Hoseinyazdi M, Luna L, Deng F, Hyson NZ, Dmytriw AA, Guenego A, Faizy TD, Heit JJ, Albers GW, Lu H, Urrutia VC, Nael K, Marsh EB, Hillis AE, Llinas R. Decreased Quantitative Cerebral Blood Volume Is Associated With Poor Outcomes in Large Core Patients. Stroke. 2024. Oct;55(10):2409–2419. doi: 10.1161/STROKEAHA.124.047483. Epub 2024 Aug 26. [DOI] [PubMed] [Google Scholar]
  • 42.Yedavalli VS, Lakhani DA, Koneru M, Balar AB, Greene C, Hoseinyazdi M, Nabi M, Lu H, Xu R, Luna L, Caplan J, Dmytriw AA, Guenego A, Heit JJ, Albers GW, Wintermark M, Urrutia V, Huang J, Nael K, Leigh R, Marsh EB, Hillis AE, Llinas RH. Simplifying venous outflow: Prolonged venous transit as a novel qualitative marker correlating with acute stroke outcomes. Neuroradiol J. 2024. Jul 27:19714009241269475. doi: 10.1177/19714009241269475. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES