Abstract
Background: The pretreatment CT perfusion (CTP) marker the relative cerebral blood volume (rCBV) < 42% lesion volume has recently been shown to predict 90-day functional outcomes; however, studies assessing correlations of the rCBV < 42% lesion volume with other outcomes remain sparse. Here, we aim to assess the relationship between the rCBV < 42% lesion volume and the reference standard digital subtraction angiography (DSA)-derived American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN) collateral score, hereby referred as the DSA CS. Methods: In this retrospective evaluation of our prospectively collected database, we included acute stroke patients triaged by multimodal CT imaging, including CT angiography and perfusion imaging, with confirmed anterior circulation large vessel occlusion between 1 September 2017 and 1 October 2023. Group differences were assessed using the Student’s t test, Mann–Whitney U test and Chi-Square test. Spearman’s rank correlation and logistic regression analyses were used to assess associations between rCBV < 42% and DSA CS. Results: In total, 222 patients (median age: 69 years, 56.3% female) met our inclusion criteria. In the multivariable logistic regression analysis, taking into account age, sex, race, hypertension, hyperlipidemia, diabetes, atrial fibrillation, prior stroke or transient ischemic attack, the admission National Institute of Health stroke scale, the premorbid modified Rankin score, the Alberta stroke program early CT score (ASPECTS), and segment occlusion, the rCBV < 42% lesion volume (adjusted OR: 0.98, p < 0.05) was independently associated with the DSA CS. Conclusion: The rCBV < 42% lesion volume is independently associated with the DSA CS.
Keywords: relative cerebral blood volume, rCBV < 42%, ASITN collateral score
1. Introduction
The cerebral blood volume (CBV) is an excellent quantitative marker for estimations of the collateral blood flow in the affected territory of acute ischemic stroke secondary to large vessel occlusion (AIS-LVO). There are a number of factors that impact the outcomes of AIS-LVOs, one of these is the robust collateral blood flow [referred to as collateral status (CS)] in the affected territories via pial arterial collateralization, hereby referred to as the collateral status [1,2,3,4,5,6,7,8]. A robust CS has been associated with better functional outcomes, a smaller infarct growth rate and better recanalization following mechanical thrombectomy (MT). Hence, CBV has the potential to be an excellent surrogate marker in estimations of CS and hence of functional outcomes. The CBV can be estimated via pretreatment CT perfusion (CTP) imaging [1,9,10,11]. Multiple different definitions have been used to quantify the CBV with varying success [6,12,13,14,15,16,17,18,19,20].
The majority of automated CTP software platforms have quantified the CBV relative to the non-affected or normal cerebral hemisphere [12,13,15,16,18,21]. The RAPID (IschemaView, Menlo Park, CA, USA) software platform quantifies the CBV using different thresholds of rCBV < 34%, rCBV < 38%, and rCBV < 42% in the region with a delayed contrast transit of Tmax > 6 s. These values are derived by dividing the average of all CBV values from Tmax > 6 s regions within the ischemic hemisphere by the average of all CBV values from unaffected brain tissue with a Tmax ≤ 4 s [21]. The RAPID-derived rCBV < 42% lesion volume has recently been shown to predict 90-day functional outcomes better than the rCBV < 34% and rCBV < 38% [22], likely attributable to the ability of the rCBV to quantify CS.
Hence, in this study, we aim to assess the relationship of the rCBV < 42% lesion volume with the reference standard digital subtraction angiography (DSA)-derived American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN) collateral score, hereby referred to as the DSA CS, in anterior circulation in AIS-LVO patients. We hypothesize that increased rCBV < 42% volumes are associated with a poor DSA ASITN CS.
2. Methods
2.1. Study Design
A retrospective analysis of prospectively maintained stroke databases was performed. Consecutive AIS-LVO patients from two comprehensive stroke centers were identified from 29 July 2019 to 1 October 2023. The Johns Hopkins University institutional review board (IRB # IRB00269637) approved this study. The strengthening the reporting of observational studies in epidemiology (STROBE) checklist guidelines for an observational study were used.
2.2. Study Participants
The inclusion criteria for this study were (a) Acute ischemic stroke secondary to an anterior circulation LVO confirmed on CTA images. LVO was defined as occlusion of the distal supraclinoid internal carotid artery (ICA) segment, middle cerebral artery (MCA) M1, and proximal MCA M2 segment. (b) Patients with a reported DSA ASITN CS. (c) Diagnostically adequate CT perfusion rCBV maps.
This study was performed in accordance with the Health Insurance Portability and Accountability Act (HIPAA) and the Declaration of Helsinki. Informed consent was waived by the IRB given the retrospective study design. The management decisions to administer thrombolysis or to perform interventions were made on an individual basis per institutional protocol based on a consensus stroke team evaluation.
2.3. Data Collection
The data were prospectively collected, and the database is actively managed. The baseline and clinical data were prospectively collected through electronic records, including, but not limited to, baseline demographics, clinical presentation, markers of stroke diagnosis and management, markers on baseline and follow-up imaging, various time parameters, and short- and long-term follow-up data.
2.4. CTP Image Acquisition
A Siemens Somatom Force (Erlangen, Germany) scanner was used. The acquisition parameters were 70 kVP, 200 Effective mAs, a rotation time of 0.25 s, an average acquisition time of 60 s, collimation of 48 × 1.2 mm, a pitch value of 0.7, and a 4D range of 114 mm × 1.5 s.
2.5. Image Analysis
A quality assessment of CT perfusion data was performed independent of the outcomes by a board-certified neuroradiologist with 9 years of working experience.
Commercial RAPID perfusion software, version 5.2.2 (iSchemaView, Menlo Park, CA, USA), was used to generate the rCBV < 42% lesion volume from raw CTP data.
The DSA ASITN CS was independently assessed by a board-certified neuroradiologist (9 years of working experience) and the performing neurointerventionalist. Any discrepancies were resolved based on a consensus review.
ASITN grades included Grade 0, non-existing or barely visible pial collaterals on the ischemic site at any point in time; Grade 1, partial collateralization of the ischemic site until the late venous phase; Grade 2, partial collateralization of the ischemic site by the late venous phase; Grade 3, complete collateralization of the ischemic site by the late venous phase; and Grade 4, complete collateralization of the ischemic site before the venous phase [6,23].
2.6. Statistical Analysis
The categorical data were described using contingency tables including counts and percentages; continuous variables were summarized with means (±standard deviation). A Student’s t-test was used in the data analysis for continuous variables, a Mann–Whitney U test was used in the data analysis for ordinal data, and a Chi-Square test was used for categorical data to assess differences in the variables in patients with a DSA ASITN CS of 0–2 (poor CS) and in those with an ASITN score of 3–4 (a good CS).
A logistic regression analysis was used to estimate the relationship between rCBV < 42% lesion volume and the dichotomized DSA ASITN CS as an outcome measure. The multivariable logistic regression model took into account confounding variables of age, sex, race, hypertension, hyperlipidemia, diabetes mellitus, atrial fibrillation, occlusion segment, prior transient ischemic attack or stroke, intravenous tissue-type plasminogen activator (IV tPA), the admission NIH stroke scale, the premorbid modified Rankin score (mRS), and the Alberta stroke program early CT score (ASPECTS). The outcomes were reported as adjusted and unadjusted odds ratios with a 95% confidence interval and a P-value. Statistically significant results are described as p ≤ 0.05, p < 0.01 and p < 0.001.
3. Results
A total of 222 consecutive patients, 125 (56.3%) female and 97 (43.7%) male, met our inclusion criteria. The mean age of the study cohort was 67.8 ± 15.8 years. A total of 116 (52.3%) Caucasian, 90 (40.5%) African American, 7 (3.2%) Asian, and 9 (4.1%) others were included.
In total, 174 (78.4%) had hypertension, 119 (53.6%) had hyperlipidemia, 58 (26.1%) had diabetes, 119 (53.6%) had heart disease and 44 (19.8%) had a prior history of stroke or transient ischemic attacks in our cohort. A total of 106 (48.6%) of the patient population had either a current or prior history of smoking.
Most of the patients in our cohort had a premorbid mRS of 0 (n = 147, 68.4%). Most of the patients in our cohort had an ASPECTS of 5 or more (n = 216). All six patients with an ASPECTS of 0–4 had a poor DSA ASITN CS, whereas using the rCBF < 30% threshold for infarct core estimation, a total of 36 patients (16.2%) met the definition of a large core (50 mL or greater).
In total, 80 patients (36%) received intravenous tissue plasminogen activator (IV tPA). The mean length of hospitalization was 11.6 days.
Of 222 patients, 161 (72.5%) had M1 segment occlusion, 45 (20.3%) had proximal M2 segment occlusion and 16 (7.2%) had distal ICA supraclinoid segment occlusion.
The patient demographics, imaging parameters and stroke treatment details are presented in Table 1.
Table 1.
Demographics of the study population, imaging biomarkers and treatment details.
| Poor ASITN CS of 0–2 (n = 150) | Good ASITN CS of 3 or 4 (n = 72) | Total (n = 222) | |||||
|---|---|---|---|---|---|---|---|
| Number/Mean | %/Standard Deviation | Number/Mean | %/Standard Deviation | Number/Mean | %/Standard Deviation | p Value | |
| Age | 68.2 | 16.0 | 66.9 | 15.5 | 67.8 | 15.8 | 0.59 |
| Sex | 0.67 | ||||||
| Female | 83 | 55.3% | 42 | 58.3% | 125 | 56.3% | |
| Male | 67 | 44.7% | 30 | 41.7% | 97 | 43.7% | |
| Race | 0.27 | ||||||
| African American | 62 | 41.3% | 28 | 38.9% | 90 | 40.5% | |
| Caucasian | 77 | 51.3% | 39 | 54.2% | 116 | 52.3% | |
| Asian | 3 | 2.0% | 4 | 5.6% | 7 | 3.2% | |
| Other | 8 | 5.3% | 1 | 1.4% | 9 | 4.1% | |
| Admission body mass index (kg/m2) | 28.10 | 6.18 | 29.68 | 8.47 | 28.74 | 7.21 | 0.21 |
| Hypertension | 121 | 80.7% | 53 | 73.6% | 174 | 78.4% | 0.23 |
| Hyperlipidemia | 79 | 52.7% | 40 | 55.6% | 119 | 53.6% | 0.69 |
| Diabetes Mellitus | 38 | 25.3% | 20 | 27.8% | 58 | 26.1% | 0.70 |
| Heart Disease | 79 | 52.7% | 40 | 55.6% | 119 | 53.6% | 0.69 |
| Atrial Fibrillation | 56 | 37.3% | 32 | 44.4% | 88 | 39.6% | 0.31 |
| Smoking | 70 | 47.6% | 36 | 50.7% | 106 | 48.6% | 0.67 |
| Prior transient ischemic attack/stroke | 29 | 19.3% | 15 | 20.8% | 44 | 19.8% | 0.79 |
| Segment occlusion | <0.001 | ||||||
| M1 segment | 121 | 80.7% | 40 | 55.6% | 161 | 72.5% | |
| Proximal M2 segment | 15 | 10.0% | 30 | 41.7% | 45 | 20.3% | |
| Supraclinoid ICA | 14 | 9.3% | 2 | 2.8% | 16 | 7.2% | |
| Premorbid-modified Rankin score (mRS) | 0.06 | ||||||
| 0 | 105 | 72.9% | 42 | 59.2% | 147 | 68.4% | |
| 1 | 14 | 9.7% | 12 | 16.9% | 26 | 12.1% | |
| 2 | 9 | 6.3% | 8 | 11.3% | 17 | 7.9% | |
| 3 | 16 | 11.1% | 7 | 9.9% | 23 | 10.7% | |
| 4 | 0 | 0.0% | 2 | 2.8% | 2 | 0.9% | |
| Admission NIH stroke scale | 16 | 7 | 14 | 7 | 16 | 7 | <0.05 |
| Alberta stroke programme early CT score (ASPECTS) | 0.10 | ||||||
| 0 | 2 | 1.3% | 0 | 0.0% | 2 | 0.9% | |
| 3 | 2 | 1.3% | 0 | 0.0% | 2 | 0.9% | |
| 4 | 2 | 1.3% | 0 | 0.0% | 2 | 0.9% | |
| 5 | 8 | 5.3% | 0 | 0.0% | 8 | 3.6% | |
| 6 | 11 | 7.3% | 5 | 6.9% | 16 | 7.2% | |
| 7 | 11 | 7.3% | 11 | 15.3% | 22 | 9.9% | |
| 8 | 25 | 16.7% | 9 | 12.5% | 34 | 15.3% | |
| 9 | 24 | 16.0% | 7 | 9.7% | 31 | 14.0% | |
| 10 | 65 | 43.3% | 40 | 55.6% | 105 | 47.3% | |
| rCBF <30% ≤ 50 ml | 119 | 79.3% | 67 | 93.1% | 186 | 83.8% | <0.01 |
| rCBV < 42% lesion volume (mL) | 23.67 | 34.85 | 10.47 | 21.69 | 19.39 | 31.76 | <0.001 |
| Intravenous tissue-type plasminogen activator (IV tPA) | 51 | 34.0% | 29 | 40.3% | 80 | 36.0% | 0.36 |
| Length of hospitalization | 11.69 | 10.611 | 11.45 | 12.294 | 11.61 | 11.167 | 0.89 |
| Last known well to door time in minutes | 215.98 | 346.992 | 363.49 | 1258.901 | 269.21 | 801.792 | 0.39 |
| Door to needle time in minutes | 103.85 | 246.868 | 109.64 | 226.161 | 105.93 | 237.713 | 0.93 |
| Door to groin puncture in minutes | 195.76 | 86.337 | 172.85 | 131.386 | 187.49 | 104.525 | 0.38 |
| Door to recanalization time in minutes | 429.59 | 373.351 | 332.36 | 403.003 | 395.35 | 384.031 | 0.31 |
rCBV < 42% Lesion Volume and DSA ASITN CS
The mean rCBV < 42% lesion volume was significantly higher in patients with a poor DSA ASITN CS (23.67 mL ± 34.85 mL), compared to a robust DSA ASITN CS (10.47 mL ± 21.69 mL, p < 0.001) (Figure 1 and Table 1).
Figure 1.
Box and whisker plot distribution of rCBV < 42% lesion volume in patients with a poor DSA ASITN CS of 0–2 and a robust DSA ASITN CS of 3–4. Box plot represents median and interquartile range, whereas whiskers represent minimum and maximum values.
In the logistic regression analysis, a lower rCBV < 42% lesion volume was associated with a good DSA CS (unadjusted OR: 0.98, 95% CI: 0.97–0.99, p < 0.01). Additionally, the admission NIHSS (unadjusted OR: 0.96, 95% CI: 0.92–0.99, p < 0.05) and segment occlusion (unadjusted OR: 1.35, 95% CI: 1.12–1.63, p < 0.001) were associated with the DSA ASITN CS (Table 2).
Table 2.
Logistic regression analysis with a dichotomized poor DSA ASITN CS of 0–2 and a robust DSA CS of 3–4 as the outcome measure.
| Variable | Univariable Analysis with Dichotomized Outcomes Based on a Good Collateral Score (ASITN 3 or More) | Multivariable Analysis with Dichotomized Outcomes Based on a Good Collateral Score (ASITN 3 or More) | ||||||
|---|---|---|---|---|---|---|---|---|
| Unadjusted OR | 95% C.I. | p Value | Adjusted OR | 95% C.I. | p Value | |||
| Lower | Upper | Lower | Upper | |||||
| Age | 1.00 | 0.98 | 1.01 | 0.59 | 0.99 | 0.97 | 1.01 | 0.38 |
| Sex | 0.88 | 0.50 | 1.56 | 0.67 | 0.92 | 0.48 | 1.78 | 0.81 |
| Race | 0.96 | 0.65 | 1.43 | 0.85 | 0.86 | 0.54 | 1.38 | 0.53 |
| Hypertension | 0.67 | 0.34 | 1.30 | 0.23 | 0.67 | 0.31 | 1.45 | 0.31 |
| Hyperlipidemia | 1.12 | 0.64 | 1.98 | 0.69 | 1.00 | 0.52 | 1.92 | 1.00 |
| Diabetes Mellitus | 1.13 | 0.60 | 2.14 | 0.70 | 0.99 | 0.46 | 2.11 | 0.98 |
| Atrial Fibrillation | 1.34 | 0.76 | 2.38 | 0.31 | 1.25 | 0.63 | 2.51 | 0.52 |
| Prior stroke or Transient Ischemic Attack | 1.10 | 0.55 | 2.21 | 0.79 | 1.26 | 0.57 | 2.77 | 0.57 |
| Intravenous tissue-type plasminogen activator (IV tPA) | 1.31 | 0.73 | 2.34 | 0.36 | 1.17 | 0.60 | 2.28 | 0.64 |
| Admission NIH stroke scale | 0.96 | 0.92 | 0.99 | <0.05 | 0.96 | 0.92 | 1.01 | 0.16 |
| Premorbid-modified Rankin score (mRS) | 1.23 | 0.95 | 1.59 | 0.11 | 1.22 | 0.89 | 1.68 | 0.22 |
| Alberta stroke programme early CT score (ASPECTS) | 1.18 | 0.99 | 1.41 | 0.06 | 1.14 | 0.94 | 1.39 | 0.19 |
| Segment occlusion | 1.35 | 1.12 | 1.63 | <0.001 | 1.39 | 1.13 | 1.72 | <0.01 |
| rCBV < 42% lesion volume | 0.98 | 0.97 | 0.99 | <0.01 | 0.98 | 0.97 | 0.99 | <0.05 |
In the multivariable logistic regression analysis, which took into account age, sex, race, hypertension, hyperlipidemia, diabetes mellitus, atrial fibrillation, occlusion segment, prior transient ischemic attack or stroke, IV tPA, the admission NIH stroke scale, the premorbid mRS and the ASPECTS, the rCBV < 42% lesion volume (adjusted OR: 0.98, 95% CI: 0.97–0.99, p < 0.05) and segment occlusion (adjusted OR: 1.39, 95% CI: 1.13–1.72, p < 0.01) were independently associated with the DSA ASITN CS (Table 2).
4. Discussion
In this study of AIS-LVO patients undergoing MT triage, we found that a higher rCBV < 42% lesion volume was independently associated with a poor DSA ASITN CS. To our knowledge, the associations of different rCBV thresholds in estimating DSA ASITN CS remains sparse. This study validates an rCBV of <42% specifically as an additional prognostic biomarker of CS estimation in AIS-LVO patients.
The rCBV < 42% threshold lesion volume gives a quantitative estimate of the degree of hypoperfusion in the affected hemisphere. By definition, the rCBV quantifies the blood volume in the ischemic territory defined by delayed arterial transit of contrast, using a threshold of T max > 6 s, relative to the unaffected region defined by a normal arterial transit of contrast (T max ≤ 4 s). The threshold of a <42% flow relative to the unaffected region then provides the volume of the severely hyperperfused region in the affected territory, thereby serving as a quantitative marker of the CS [21,24].
Recently, the trial data from a review of the efficacy and safety of nerinetide for the treatment of acute ischemic stroke (ESCAPE-NA1 [22]) determined that an increased rCBV < 42% threshold lesion volume predicted functional outcomes at 90 days, as defined by the 90-day modified Rankin score (mRS). Moreover, in this study, the authors compared all three rCBV thresholds of rCBV < 34%, rCBV < 38%, and rCBV < 42%, and found that rCBV < 42% outperformed rCBV < 34% and rCBV < 38% lesion volumes in predicting 90-day functional outcomes [25]. It is postulated that rCBV thresholds estimate the degree of collateral blood flow withing the affected hemisphere and hence predict the functional outcome. However, there is only one study by Arenillas et al. [21] which studied the association of the rCBV with the DSA ASITN CS using SWIFT PRIME trial data. They report a significant association between rCBV and DSA CS (p = 0.01). While the results of rCBV in predicting the DSA CS using SWIFT PRIME trial data validate rCBV as a reliable biomarker, patients with large cores were nevertheless excluded. Our study differs from that of Arenillas et al. in that we also include patients with large cores (≥50 mL) as these groups may have been underrepresented in their investigation [21]. Despite these differing inclusion criteria, our results nevertheless corroborate their observations. Our findings support the hypothesized physiological mechanism that a lower rCBV reflects a modest degree of compensation through poor collateral routes.
The main limitation of the reference standard DSA ASITN CS is that it is not available prior to intervention, and hence cannot be used in triaging patients for mechanical thrombectomies. Hence, there continues to be a growing interest in estimating the pre-treatment markers of CS. There are several markers which are already validated to estimate the CS, including those derived from single-phase CTA, multi-phase CTA, and CT perfusion [7]. Single-phase CTA CS markers include the Tan score [26] and the Clot Burden Score [27]. The Clot Burden Scoring system is a 10-point scoring system, where points are deducted based on vessel segments that are not opacified with contrast, whereas the Tan score system is a four-point grading system of the contrast opacification degree in the affected territory. The multiphase CTA-based mCTA scoring system is a six-point scoring system which takes into account dynamic filling of the collateral vessels during different contrast phases [28]. There are several CTP-based CS markers which are being validated, which include the Hypoperfusion Intensity Ratio (HIR), defined as the ratio of the Tmax >10 s lesion volume to the Tmax > 6 s lesion volume [8]; the CBV Index, defined as the relative CBV in the Tmax > 6 s region [8]; the compensation index, defined as the ratio of the Tmax > 4 s lesion volume to the Tmax > 6 s lesion volume [6]; and the relative cerebral blood flow (rCBF) < 38% lesion volume.
In conclusion, the rCBV < 42% lesion volume is independently associated with the reference standard DSA ASITN CS. Hence, it can be used as one of the potential pretreatment markers to estimate CS.
There are several limitations of this study to acknowledge. First, there were limitations that are inherent to a retrospective analysis. Second, there was modest inter- and intra-rater agreement in assessments of the DSA ASITN CS [29,30]. The strength of this study is the large sample size prospectively collected from two comprehensive stroke centers.
Our results validate the role of the rCBV < 42% lesion volume in estimating the DSA ASITN CS. More recently, large core trials showed the benefit of MTs in LVO cases irrespective of the ischemic core volume. Hence, the CTP-based rCBV < 42% lesion volume may be used as an adjunct prognostic marker in complex AIS-LVO cases. Future studies are needed to expand our understanding of the adjunct role of rCBV < 42% with other similar pretreatment imaging-based markers in clinical evaluation and decision making in AIS-LVO patients, particularly in the large-core subset of patients, those who did not undergo MT, and those with unsuccessful recanalization.
Acknowledgments
This study was 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.
Abbreviations
AIS-LVO: acute ischemic stroke secondary to large vessel occlusion; rCBV: relative CBV; MT: mechanical thrombectomy; NCCT: non-contrast CT head; CTA: CT angiography; CTP: CT perfusion; CS: collateral score; ICA: internal carotid artery; MCA: middle cerebral artery; IV tPA: intravenous tissue-type plasminogen activator (IV tPA); NIHSS: National Institute of Health stroke scale; mRS: modified Rankin score; ASPECTS: Alberta stroke program early CT score; mTiCI: modified treatment in cerebral infarction (mTICI) score.
Author Contributions
Methodology, D.A.L., A.B.B., M.K., V.U., A.E.H., J.J.H., G.W.A., A.T.R., A.A.D., T.F., M.W. and K.N.; Formal analysis, D.A.L., S.W. and J.M.; Investigation, D.A.L., A.B.B., L.L. and V.S.Y.; Resources, V.S.Y.; Data curation, D.A.L., B.B.O., H.L., R.W., M.H., J.M., R.X., M.N., I.M., A.C., K.C., S.S., N.H. and L.L.; Writing—original draft, D.A.L. and A.B.B.; Writing—review & editing, V.U., A.E.H., J.J.H., G.W.A., A.T.R., A.A.D., T.F., M.W., K.N. and V.S.Y.; Supervision, V.S.Y.; Project administration, V.S.Y. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
This study was approved by the Johns Hopkins Institutional Review Board, Reference Number IRB00269637.
Informed Consent Statement
Not applicable for this retrospective study.
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Conflicts of Interest
Drs. Greg Albers, Jeremy Heit, and Vivek Yedavalli are consultants for Rapid (iSchemaView, Menlo Park, CA, USA).
Funding Statement
This research received no external funding.
Footnotes
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References
- 1.Kucinski T., Koch C., Eckert B., Becker V., Krömer H., Heesen C., Grzyska U., Freitag H.J., Röther J., Zeumer H. Collateral circulation is an independent radiological predictor of outcome after thrombolysis in acute ischaemic stroke. Neuroradiology. 2003;45:11–18. doi: 10.1007/s00234-002-0881-0. [DOI] [PubMed] [Google Scholar]
- 2.Maas M.B., Lev M.H., Ay H., Singhal A.B., Greer D.M., Smith W.S., Harris G.J., Halpern E., Kemmling A., Koroshetz W.J., et al. Collateral vessels on CT angiography predict outcome in acute ischemic stroke. Stroke. 2009;40:3001–3005. doi: 10.1161/STROKEAHA.109.552513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Shuaib A., Butcher K., Mohammad A.A., Saqqur M., Liebeskind D.S. Collateral blood vessels in acute ischaemic stroke: A potential therapeutic target. Lancet Neurol. 2011;10:909–921. doi: 10.1016/S1474-4422(11)70195-8. [DOI] [PubMed] [Google Scholar]
- 4.Bang O.Y., Saver J.L., Kim S.J., Kim G.M., Chung C.S., Ovbiagele B., Lee K.H., Liebeskind D.S. Collateral flow predicts response to endovascular therapy for acute ischemic stroke. Stroke. 2011;42:693–699. doi: 10.1161/STROKEAHA.110.595256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Liebeskind D.S., Tomsick T.A., Foster L.D., Yeatts S.D., Carrozzella J., Demchuk A.M., Jovin T.G., Khatri P., von Kummer R., Sugg R.M., et al. Collaterals at angiography and outcomes in the Interventional Management of Stroke (IMS) III trial. Stroke. 2014;45:759–764. doi: 10.1161/STROKEAHA.113.004072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Lakhani D.A., Balar A.B., Koneru M., Wen S., Hoseinyazdi M., Greene C., Xu R., Luna L., Caplan J., Dmytriw A.A., 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. 2023;12:7365. doi: 10.3390/jcm12237365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Koneru M., Hoseinyazdi M., Lakhani D.A., Greene C., Copeland K., Wang R., Xu R., Luna L., Caplan J.M., Dmytriw A.A., et al. Redefining CT perfusion-based ischemic core estimates for the ghost core in early time window stroke. J. Neuroimaging. 2023 doi: 10.1111/jon.13180. [DOI] [PubMed] [Google Scholar]
- 8.Lakhani D.A., Balar A.B., Koneru M., Hoseinyazdi M., Hyson N., Cho A., Greene C., Xu R., Luna L., Caplan J., et al. Pretreatment CT perfusion collateral parameters correlate with penumbra salvage in middle cerebral artery occlusion. J. Neuroimaging. 2023;34:44–49. doi: 10.1111/jon.13178. [DOI] [PubMed] [Google Scholar]
- 9.Higashida R.T., Furlan A.J., Roberts H., Tomsick T., Connors B., Barr J., Dillon W., Warach S., Broderick J., Tilley B., et al. Trial design and reporting standards for intra-arterial cerebral thrombolysis for acute ischemic stroke. Stroke. 2003;34:e109–e137. doi: 10.1161/01.STR.0000082721.62796.09. [DOI] [PubMed] [Google Scholar]
- 10.Kim J.J., Fischbein N.J., Lu Y., Pham D., Dillon W.P. Regional angiographic grading system for collateral flow: Correlation with cerebral infarction in patients with middle cerebral artery occlusion. Stroke. 2004;35:1340–1344. doi: 10.1161/01.STR.0000126043.83777.3a. [DOI] [PubMed] [Google Scholar]
- 11.Ramaiah S.S., Mitchell P., Dowling R., Yan B. Assessment of arterial collateralization and its relevance to intra-arterial therapy for acute ischemic stroke. J. Stroke Cerebrovasc. Dis. 2014;23:399–407. doi: 10.1016/j.jstrokecerebrovasdis.2013.03.012. [DOI] [PubMed] [Google Scholar]
- 12.Cortijo E., Calleja A.I., García-Bermejo P., Mulero P., Pérez-Fernández S., Reyes J., Muñoz M.F., Martínez-Galdámez M., Arenillas J.F. Relative cerebral blood volume as a marker of durable tissue-at-risk viability in hyperacute ischemic stroke. Stroke. 2014;45:113–118. doi: 10.1161/STROKEAHA.113.003340. [DOI] [PubMed] [Google Scholar]
- 13.Imaoka Y., Shindo S., Miura M., Terasaki T., Mukasa A., Todaka T. Hypoperfusion intensity ratio and CBV index as predictive parameters to identify underlying intracranial atherosclerotic stenosis in endovascular thrombectomy. J. Neuroradiol. 2023;50:424–430. doi: 10.1016/j.neurad.2022.10.005. [DOI] [PubMed] [Google Scholar]
- 14.Kamalian S., Konstas A.A., Maas M.B., Payabvash S., Pomerantz S.R., Schaefer P.W., Furie K.L., González R.G., Lev M.H. CT perfusion mean transit time maps optimally distinguish benign oligemia from true "at-risk" ischemic penumbra, but thresholds vary by postprocessing technique. AJNR Am. J. Neuroradiol. 2012;33:545–549. doi: 10.3174/ajnr.A2809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Karamchandani R.R., Strong D., Rhoten J.B., Prasad T., Selig J., Defilipp G., Asimos A.W. Cerebral blood volume index as a predictor of functional independence after basilar artery thrombectomy. J. Neuroimaging. 2022;32:171–178. doi: 10.1111/jon.12933. [DOI] [PubMed] [Google Scholar]
- 16.Li B.H., Wang J.H., Yang S., Wang D.Z., Zhang Q., Cheng X.D., Yu N.W., Guo F.Q. Cerebral blood volume index may be a predictor of independent outcome of thrombectomy in stroke patients with low ASPECTS. J. Clin. Neurosci. 2022;103:188–192. doi: 10.1016/j.jocn.2022.07.006. [DOI] [PubMed] [Google Scholar]
- 17.Potreck A., Scheidecker E., Weyland C.S., Neuberger U., Herweh C., Möhlenbruch M.A., Chen M., Nagel S., Bendszus M., Seker F. RAPID CT Perfusion-Based Relative CBF Identifies Good Collateral Status Better Than Hypoperfusion Intensity Ratio, CBV-Index, and Time-to-Maximum in Anterior Circulation Stroke. AJNR Am. J. Neuroradiol. 2022;43:960–965. doi: 10.3174/ajnr.A7542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Sohn S.W., Park H.S., Cha J.K., Kim D.H., Kang M.J., Choi J.H., Nah H.W., Huh J.T. 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. 2016;8:235–239. doi: 10.1136/neurintsurg-2014-011501. [DOI] [PubMed] [Google Scholar]
- 19.Kim J.T., Park M.S., Choi K.H., Nam T.S., Choi S.M., Lee S.H., Kim B.C., Kim M.K., Cho K.H. The CBV-ASPECT Score as a predictor of fatal stroke in a hyperacute state. Eur. Neurol. 2010;63:357–363. doi: 10.1159/000313303. [DOI] [PubMed] [Google Scholar]
- 20.Padroni M., Boned S., Ribó M., Muchada M., Rodriguez-Luna D., Coscojuela P., Tomasello A., Cabero J., Pagola J., Rodriguez-Villatoro N., et al. CBV_ASPECTS Improvement over CT_ASPECTS on Determining Irreversible Ischemic Lesion Decreases over Time. Interv. Neurol. 2016;5:140–147. doi: 10.1159/000446969. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Arenillas J.F., Cortijo E., García-Bermejo P., Levy E.I., Jahan R., Liebeskind D., Goyal M., Saver J.L., Albers G.W. Relative cerebral blood volume is associated with collateral status and infarct growth in stroke patients in SWIFT PRIME. J. Cereb. Blood Flow. Metab. 2018;38:1839–1847. doi: 10.1177/0271678X17740293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Hill M.D., Goyal M., Menon B.K., Nogueira R.G., McTaggart R.A., Demchuk A.M., Poppe A.Y., Buck B.H., Field T.S., Dowlatshahi D., et al. Efficacy and safety of nerinetide for the treatment of acute ischaemic stroke (ESCAPE-NA1): A multicentre, double-blind, randomised controlled trial. Lancet. 2020;395:878–887. doi: 10.1016/S0140-6736(20)30258-0. [DOI] [PubMed] [Google Scholar]
- 23.Singer O.C., Berkefeld J., Nolte C.H., Bohner G., Reich A., Wiesmann M., Groeschel K., Boor S., Neumann-Haefelin T., Hofmann E., et al. Collateral vessels in proximal middle cerebral artery occlusion: The ENDOSTROKE study. Radiology. 2015;274:851–858. doi: 10.1148/radiol.14140951. [DOI] [PubMed] [Google Scholar]
- 24.Murphy B.D., Fox A.J., Lee D.H., Sahlas D.J., Black S.E., Hogan M.J., Coutts S.B., Demchuk A.M., Goyal M., Aviv R.I., et al. Identification of penumbra and infarct in acute ischemic stroke using computed tomography perfusion-derived blood flow and blood volume measurements. Stroke. 2006;37:1771–1777. doi: 10.1161/01.STR.0000227243.96808.53. [DOI] [PubMed] [Google Scholar]
- 25.Rex N.B., McDonough R.V., Ospel J.M., Kashani N., Sehgal A., Fladt J.C., McTaggart R.A., Nogueira R., Menon B., Demchuk A.M., 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. 2023;44:1045–1049. doi: 10.3174/ajnr.A7954. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Tan I.Y., Demchuk A.M., Hopyan J., Zhang L., Gladstone D., Wong K., Martin M., Symons S.P., Fox A.J., Aviv R.I. CT angiography clot burden score and collateral score: Correlation with clinical and radiologic outcomes in acute middle cerebral artery infarct. AJNR Am. J. Neuroradiol. 2009;30:525–531. doi: 10.3174/ajnr.A1408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Puetz V., Dzialowski I., Hill M.D., Subramaniam S., Sylaja P.N., Krol A., O’Reilly C., Hudon M.E., Hu W.Y., Coutts S.B., et al. Intracranial thrombus extent predicts clinical outcome, final infarct size and hemorrhagic transformation in ischemic stroke: The clot burden score. Int. J. Stroke. 2008;3:230–236. doi: 10.1111/j.1747-4949.2008.00221.x. [DOI] [PubMed] [Google Scholar]
- 28.Menon B.K., d’Esterre C.D., Qazi E.M., Almekhlafi M., Hahn L., Demchuk A.M., Goyal M. Multiphase CT Angiography: A New Tool for the Imaging Triage of Patients with Acute Ischemic Stroke. Radiology. 2015;275:510–520. doi: 10.1148/radiol.15142256. [DOI] [PubMed] [Google Scholar]
- 29.Ben Hassen W., Malley C., Boulouis G., Clarençon F., Bartolini B., Bourcier R., Rodriguez Régent C., Bricout N., Labeyrie M.A., Gentric J.C., et al. Inter- and intraobserver reliability for angiographic leptomeningeal collateral flow assessment by the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology (ASITN/SIR) scale. J. Neurointerv. Surg. 2019;11:338–341. doi: 10.1136/neurintsurg-2018-014185. [DOI] [PubMed] [Google Scholar]
- 30.Wang Y.J., Wang J.Q., Qiu J., Li W., Sun X.H., Zhao Y.G., Liu X., Zhao Z.A., Liu L., Nguyen T.N., et al. Association between collaterals, cerebral circulation time and outcome after thrombectomy of stroke. Ann. Clin. Transl. Neurol. 2023;10:266–275. doi: 10.1002/acn3.51718. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.