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Neuropsychiatric Disease and Treatment logoLink to Neuropsychiatric Disease and Treatment
. 2021 Oct 7;17:3069–3079. doi: 10.2147/NDT.S331874

The Prognostic Impact of Susceptibility-Weighted Imaging Prominent Veins in Acute Ischemic Stroke: A Systematic Review and Meta-Analysis

Ping Lu 1, Lingyun Cui 1, Xingquan Zhao 1,2,3,
PMCID: PMC8504705  PMID: 34675518

Abstract

Purpose

We aimed to determine the prognostic impact of prominent veins (PVS) after an acute ischemic stroke identified on susceptibility-weighted imaging (PVS-SWI).

Methods

We searched for studies published in PubMed, Embase, Cochrane Library and Chinese Biomedical Literature Database. Poor functional prognosis, early neurological deterioration, and hemorrhagic transformation were evaluated. Risk ratios (RR) were pooled implementing a random effect model. We performed a subgroup analysis by treatment, location (cortical/medullary) and a sensitivity analysis by follow-up time.

Results

Sixteen studies were included (a total of 1605 patients) in the quantitative meta-analysis. PVS-SWI were related with a poor functional outcome (RR 1.62, 95% CI 1.25 to 2.10), especially in the patients receiving thrombolysis (RR 2.19, 95% CI 1.53 to 3.15) and an augmented risk of early neurological damage (RR 2.85, 95% CI 2.31 to 3.51). Both cortical and medullary prominent veins were accompanied by a poor functional outcome (RR 1.82, 95% CI 1.30 to 2.56/RR 2.59, 95% CI 1.98 to 3.38). PVS-SWI were not associated with poor functional outcomes when patients were treated conservatively (RR 1.35, 95% CI 0.82 to 2.22), or with an increased risk of hemorrhagic transformation (RR 0.97, 95% CI 0.64 to 1.47).

Conclusion

PVS-SWI were related to a poor functional prognosis and an increased risk of early neurological damage. In patients treated conservatively, PVS-SWI were not accompanied by a poor prognosis. PVS-SWI were not associated with an augmented risk of hemorrhagic transformation.

Keywords: SWI, prominent veins, stroke, ischemic stroke, meta-analysis

Introduction

In the last three decades, stroke mortality has increased dramatically.1–3 The most common stroke subtype is acute ischemic stroke, accounting for 87% of all strokes.4 Early prognostic assessment aids the selection and implementation of interventions. Susceptibility-weighted imaging (SWI) is a useful magnetic resonance imaging (MRI) technique that allows a clearer visualization of the ischemic brain.5,6 A prominent vessel sign (PVS) is one of the most pertinent aspects, representing the abnormally dilated cortical and medullary veins in the hypoperfusion tissue. Around 81% of patients who were investigated by SWI show prominent veins.7 Although prominent veins on SWI correlate with the amount of deoxyhemoglobin in venous blood8 and venous dilatation,9 indirectly reflecting an increased oxygen extraction fraction (OEF) in brain tissues, its prognostic significance has not been clarified and remains controversial. Of the 16 studies which have so far investigated the prognosis of patients with PVS on SWI (PVS-SWI), 11 studies concluded that PVS-SWI-positive patients had a worse prognosis than PVS-SWI-negative patients.10–20 The remaining 5 studies found no differences between the two groups.21–25 Potential reasons for the different results in previous studies include small sample sizes, different treatment approaches, and diverse PVS-SWI definitions or assessment methods.

We hypothesized that PVS-SWI may be associated with poor prognosis in patients with ischemic stroke. We conducted a comprehensive evaluation to study the relationship between PVS-SWI and functional prognosis, early neurological deterioration, and hemorrhagic transformation in acute ischemic stroke.

Methods

The protocol followed the Preferred Reporting Items for Systematic Evaluation and Meta-Analysis (PRISMA) guidelines26 and has been registered with PROSPERO (CRD42021244358).

Search Strategy

Our search strategy was conducted across relevant databases (PubMed, Embase, Cochrane Library and Chinese Biomedical Literature Database) based on the following combinations of terms or keywords for medical subject terms: [“hypointense” OR “prominent” OR “asymmetric*” OR “cortical” OR “medullary” OR “deep cerebral”] AND [“SWI” OR “susceptibility-weighted”] AND [“cerebrovascular disease” OR “stroke” OR “cerebral infarction”] (Supplementary Appendix 1). We searched from inception to March 31, 2021 without language restrictions. In addition, we manually searched articles in the reference list of all retrieved studies and previous reviews.

Eligibility Criteria

We included cohort studies conducted in patients ≥ 18 years of age. A baseline MRI was performed in the acute stroke phase, with the time window varying up to 1 week. Eligible studies reported prognostic outcomes for patients with and without PVS-SWI. We excluded: editorials, letters, reviews, case series, conference abstracts, guidelines, technical notes, and book chapters. If studies overlapped, we only included the study with the largest number of patients.

Study Selection and Data Extraction

The titles and abstracts of identified studies were screened by two authors (LP and CL) and eligible studies were included in our analysis. Quality of such studies was assessed with the Newcastle-Ottawa Scale (NOS), with Level A (≥ 6) or Level B (< 6). Data were extracted for pre-determined outcome measures using a standardized form. The data extraction form was categorized into subsections: (a) study characteristics (b) demographic, clinical, and imaging features of patients with and without PVS-SWI (c) outcome definitions (d) outcome metrics (see below). Any disagreement was resolved by discussion or negotiation.

The extracted data include:

(1) First author name, year and type of publication, type of study, inclusion criteria, study population, clinical and imaging features of recruited patients; (2) study treatment administered (thrombolysis, conservative therapy, or a combination of them); (3) There are four methods of extracted data in literatures: Visual assessment method, which classified patients as with PVS if hypointense vessels were observed in the ipsilateral hemisphere compared to the contralateral side. Patients were graded with the Alberta Stroke Program Early CT Score (ASPECTS), in which a quantitative score was utilized to classify patients into the SWI-PVS-positive group. The slice assessment method (≥ 5 slice planes defined a SWI-PVS-positive patient on 10 consecutive slices containing the MCA region) and the pixel comparison method (SWI-PVS-positive patients were classified through the difference in venous signal intensity of bilateral cerebral hemispheres); (4) primary outcome and other outcomes in patients with and without PVS-SWI on baseline MRI.

In the absence of data, we contacted the authors identified in the article.

Outcomes

The primary outcome was the functional prognosis evaluated with the modified Rankin Scale (mRS) or the National Institutes of Health Stroke Scale (NIHSS). The mRS is an ordinal scale that ranges from 0 (no symptoms) to 6 (death). Other outcomes included early neurological deterioration, and hemorrhagic transformation.

Statistical Analysis

The combined risk ratio (RR) for dichotomous outcomes was estimated using the DerSimonian-Laird random-effect model. Heterogeneity was evaluated using I2 statistics and Labbè plots. Subgroup analyses of primary outcomes were conducted according to treatment of patients, and type of PVS-SWI defined by location. Our meta-analysis explored whether clinical and radiological findings influenced the appearance of baseline PVS-SWI, expressed as RR. Funnel plots were visually examined to assess potential publication bias. A two-sided p-value ≤ 0.05 was considered statistically significant. Statistical analysis was performed using the Stata software (v.16.0).

Results

Study Selection and Characteristics

The literature search provided a total of 461 articles (Figure 1). After titles and abstracts screening, 38 studies were reviewed in-full. Ten studies were conference abstracts, 11 studies did not meet the eligibility criteria. Two studies had overlapping cohort populations, therefore only the study with the largest population was included in the systematic review.19,27 Sixteen cohort studies met the inclusion criteria,10–25 involving 1605 patients. The included studies were published between 2011 and 2019, with stenosis and infarction of the larger cerebral arteries in the anterior circulation as the predominant lesions. Fourteen studies involving 1356 patients assessed functional outcomes,10–17,21–25,27 eleven of them (1216 patients) reported the outcome at 90 days.10–15,21–24,27 Three studies performed thrombolysis (n = 230).13,15,19 Five studies (n = 251) reported the risk of hemorrhagic transformation,13,16,24,25,27 while 4 studies (n = 875) reported early neurological deterioration.10,18–20 Thirteen studies (n = 1338) reported baseline NIHSS scores at admission.10,11,13–16,20–25,27 Six studies (n = 365) reported infarct volume at admission.14–16,21–23 Data from 13 studies (n = 1399) were pooled for predicting the prognostic impact of PVS-SWI.10,11,13–16,20–25,27 Two out of 16 studies were of low quality, with a high risk of bias (Table 1, Appendix Table 1).18,25

Figure 1.

Figure 1

Selection process of the studies included in the review.

Table 1.

Overall Study Characteristics and Quality Assessment Aspects of the Included Cohort

Study Design Control for Confounders Inclusion Criteria (AIS with Occlusion/Stenosis or Without) Analysis Method of PVS-SWI All Outcomes N-S I–V NOS
Sun W et al 201410 P N- Control Without SILASO Visual assessment 572 90-day MRS, 72-hour NI≥2 - 8
Yu J et al 201711 R N- Control With MCA occlusion or stenosis Visual assessment 124 90-day MRS - 6
Wang Y et al 201812 R Not reported With MCA occlusion Visual assessment 40 90-day MRS - - 7
Zhao G et al 201713 R Control Without SILASO Pixel assessment 60 90-day MRS, HT - 6
Yu X et al 201614 P N- Control Without SILASO Pixel assessment 33 90-day MRS 8
Zhang X et al 201715 R N- Control Without SILASO Pixel assessment 109 90-day MRS 7
Jing L et al 202116 R N- Control Without SILASO ASPECT assessment 47 7-day MRS, HT 6
Vural A et al 201617 R Not reported With MCA occlusion Slice assessment 50 Discharge MRS - - 6
Li W et al 202018 R Not reported With SILASO Visual assessment 109 72-hour NI≥2 - - 3
Liu YL et al 202027 P Control With SILASO Visual assessment 55 90-day MRS, HT - 8
Liu YL et al 2020”19 ASPECT assessment 61 48-hour NI≥2
Hu Zongji et al 202020 R Control Without SILASO Visual assessment 133 7-day NI≥2 - 3
Liu H et al 201821 R N- Control With MCA occlusion or stenosis ASPECT assessment 30 90-day MRS 6
Chen CY et al 201522 P Not reported Without SILASO ASPECT assessment 22 90-day MRS 6
JIA Ya-Nan et al 201923 P N- Control Without SILASO Visual assessment 125 90-day MRS 8
Wang C et al 201724 R Control With MCA occlusion Visual assessment 46 90-day MRS, HT - 7
P H et al 201125 P Control Without SILASO Visual assessment 44 180-day MRS, HT - 8

Notes: ★:The PVS-SWI group was larger than the no-PVS-SWI group; ☆:The no-PVS-SWI group was larger than PVS-SWI the group; -:Not reported; “: The Liu YL et al 2020 and Liu YL et al 2020” cohort populations overlapped, and the two studies were combined.

Abbreviations: PVS, prominent vessel sign; SWI, susceptibility-weighted imaging; AIS, acute ischemic stroke; MCA, middle cerebral artery; SILASO, severe intracranial large artery stenosis or occlusion; P, prospectively; R, retrospective; NI, NIHSS, national institutes of health stroke scale; NI≥2, an increase in total NIHSS score of ≥2, early neurological deterioration; MRS, modified Rankin scale; HT, hemorrhagic transformation; NOS, Newcastle-Ottawa quality assessment scale; ASPECT, Alberta Stroke Program Early CT score; N-S, NIHSS score on admission; V-S, infarct volume on admission.

Association of PVS-SWI with Functional Prognosis

Severe stenosis/occlusion of the larger cerebral arteries was significantly associated with PVS-SWI (RR 2.51, 95% CI 1.48 to 4.26; p <0.001 I2=77%)(Table 2). Overall, PVS-SWI were related to a poorer prognosis (RR 1.62, 95% CI 1.25 to 2.10; p <0.001 I2=70.41%)(Figure 2). In patients treated with thrombolytic therapy, a significant association between a poor prognosis and PVS-SWI was observed (RR 2.19, 95% CI 1.53 to 3.15; p <0.001 I2=0%), but not in patients treated with conservative therapy (RR 1.35, 95% CI 0.82 to 2.22; p=0.12 I2=72.43%). Similar results were observed with the 90-day functional outcome (RR 1.78, 95% CI 1.34 to 2.78; p=0.04 I2=66.81%)(Appendix Figure 1). In subgroup analysis, corticomedullary differentiation correlated with a poor functional prognosis (RR 1.82, 95% CI 1.30 to 2.56; p <0.001 I2=68.65%/ RR 2.59, 95% CI 1.98 to 3.38; p <0.001 I2=0%)(Figure 3A).

Table 2.

Meta-Analysis of the Associations of Baseline Factors with the Presence of PVS-SWI

Factors Studies (Patients) Risk Ratio or Mean Difference (95% CI) Heterogeneity I2 (%) Reference Number of Included Studies
Age (with PVS-SWI vs without, year) 12(1266) −1.48[−3.48, 0.51] 20 [10,11,13–16,21–25,27]
Male vs female 13(1400) 1.06 [0.93, 1.21] 0 [10,11,13–16,20–25,27]
Smoking vs no 7(1087) 1.00 [0.81, 1.24] 18 [10,13–15,20,23,27]
With prior stroke/TIA vs without 5(482) 1.20 [0.94, 1.54] 24 [13,15,20,23,27]
With organic heart disease vs without 4(890) 1.02 [0.78, 1.34] 0 [10,13,20,23]
With AF vs without 8(1224) 1.12 [0.95, 1.31] 0 [10,11,13,15,20,23,24,27]
With dyslipidemia vs without 6(969) 1.19 [0.89, 1.59] 34 [10,13,14,20,23,24]
With DM vs without 10(1301) 0.96 [0.83, 1.11] 0 [10,11,13–15,20,23–25,27]
With hypertension vs without 10(1301) 0.96 [0.78, 1.17] 41 [10,11,13–15,20,23–25,27]
With SILASO vs without 7(1143) 2.51 [1.48, 4.26] 77 [10,11,14–16,20,23]

Abbreviations: PVS, prominent vessel sign; SWI, susceptibility-weighted imaging; AF, atrial fibrillation; DM, diabetes mellitus; TIA, transient ischemic attack; SILASO, severe intracranial large artery stenosis or occlusion.

Figure 2.

Figure 2

Meta-analysis of associations between modality of treatment and functional prognosis.

Abbreviations: PVS, prominent vessel sign; SWI, susceptibility-weighted imaging; End, unfavorable functional outcome; N-End, without unfavorable functional outcome; *mRS, scores 2–6 was regarded as unfavorable functional outcome.

Figure 3.

Figure 3

(A) Meta-analysis of associations between Cortical/medullary location and functional prognosis. (B) Meta-analysis of associations between PVS-SWI and early neurological deterioration/hemorrhagic transformation.

Abbreviations: PVS, prominent vessel sign; SWI, susceptibility-weighted imaging; End, unfavorable outcome; N-End, without unfavorable outcome; *mRS, scores 2–6 was regarded as unfavorable functional outcome.

Association of PVS-SWI with Other Outcomes

PVS-SWI were associated with early neurological deterioration (RR 2.85, 95% CI 2.31 to 3.51; p <0.001 I2=0%) but not with an increased risk of hemorrhagic transformation (RR 0.97, 95% CI 0.64 to 1.47; p=0.89 I2=0%) (Figure 3B). The funnel plot showed that there was no publication bias for the meta-analysis’ parameters (Appendix Figure 2). The Labbè plot showed high heterogeneity for overall and 90-days functional prognosis parameters, but low heterogeneity for early neurological deterioration and hemorrhagic transformation parameters (Appendix Figure 3). Patients with PVS-SWI had higher baseline NIHSS scores and a greater initial and subsequent growth of infarct size than controls.

Discussion

We aimed to identify the prognostic impact of PVS-SWI in ischemic stroke. We found that the appearance of PVS-SWI after AIS was associated with severe stenosis or occlusion of large cerebral arteries. Overall, PVS-SWI were related to a poor prognosis in patients treated with thrombolysis, but not in patients treated conservatively. PVS-SWI were also associated with early neurological deterioration, but not with an increased risk of hemorrhagic transformation.

PVS Formation and Influencing Factors

There is a consensus about the mechanism of PVS formation. Overall, PVS-SWI are associated with oxygen demand of brain tissue and the dilation of blood vessels. In order to maintain a normal oxygen metabolism, the oxygen extraction fraction (OEF) is increased during an ischemic stroke. The amount of deoxyhemoglobin in the venous blood determines the venous visualization on SWI.5,8 When the delivery of oxygen falls, the amount of oxygen extracted from the blood increases to meet the metabolic demands of ischemic tissues, leading to the increase of deoxygenated hemoglobin in the venous blood.28 At the same time, the slow flow in the ischemic area further increases the deoxygenated hemoglobin concentration,29 resulting in a characteristic low signal intensity on SWI. The compensatory dilation of small arteries and resistance vessels maintains a relatively constant blood flow, increasing venous blood flow and enhancing veins dilation.9,25 In acute ischemic stroke, a severe stenosis of the larger cerebral arteries predisposes to a massive hypoperfusion of brain tissues,11,30 resulting in dilated veins and an increased deoxyhemoglobin/oxygenated hemoglobin ratio. This is consistent with our findings that the key determinants of PVS-SWI after an acute ischemic stroke are severe occlusions of the larger cerebral arteries/occlusion. Severe stenosis/occlusion of large arteries and inadequate oxygen supply result in compensatory dilated veins and larger penumbra volumes,31–33 causing early neurological deficits and ultimately leading to poor prognostic outcomes. This is similar to the findings of previous studies in which PVS-SWI was associated with poor prognosis in patients with ischemic stroke.10–20

Modality of Treatment and Functional Prognosis

According to the subgroup analysis related to the modality of treatment, there was a significant association between a poor prognosis and PVS on SWI in patients receiving thrombolytic therapy. An effective perfusion increases the availability of thrombolytic drugs and improves their ability to break blood clots.34 On the other hand, the presence of PVS-SWI indirectly reflects a severe hypoperfusion of brain tissues, resulting in a reduced availability of thrombolytic drugs and an increased risk of poor prognosis.13 Noteworthy, it is not thrombolysis per se that leads to poor prognosis, but that thrombolysis increases the difference in poor prognosis between the two groups of people with and without PVS-SWI. More than 80% of patients with PVS-SWI have a poor prognosis if they are not treated with reperfusion therapy, whereas the rate decreases to 42% if they are treated with reperfusion.15 Animal models show that within minutes of an acute decrease in cerebral perfusion,35 microthrombi are formed in intracranial small veins, leading to a reduced venous blood flow and an increased intracranial pressure, which further decreases cerebral perfusion and enlarges core infarcts,36,37 a process that may be blocked by an effective reperfusion therapy. In 10 patients with PVS who underwent SWI examination before and after recanalization, PVS-SWI disappeared in all patients after recanalization.38 If PVS-SWI is still present after treatment, the prognosis is poor.26 PVS-SWI can be a valid marker of acute ischemic stroke progression32,39–42 A timely assessment of the ischemic penumbra and a successful reperfusion therapy are critical to avoid irreversible brain damage.43 Meanwhile, this present study showed that the risk of hemorrhagic transformation after stroke was independent of the presence of PVS-SWI. Therefore, thrombolysis should not be delayed due to the presence of PVS-SWI.

Regarding the conservative treatment group, there was no significant association between PVS-SWI and a poor prognosis. We hypothesize that the following mechanisms explain the prognostic difference between patients with and without PVS-SWI: 1) The over-windowing and the presence of contraindications are probably the main reasons for not performing thrombolysis. This population has more underlying diseases and a worse overall prognosis than the thrombolytic group. 2) Patients with large infarcts and high cranial pressure have a deflated venous lumen, collapsed venous structures and reduced PVS-SWI visualization.44,45 These two mechanisms may have narrowed the difference in poor prognosis between the two groups of people with and without PVS-SWI.

Cortical and Medullary PVS-SWI

According to the subgroup analysis related to the location, both cortical and medullary veins were related to a poor prognosis. Compared to the cortex, medullary veins were a stronger predictor of poor prognosis. The deep medullary veins originate from the subcortical regions46,47 and play an important role in motor control and motor learning, functions having a strong impact on MRS scores.48–50 According to previous studies, patients with both cortical and medullary PVS had higher NIHSS scores and larger infarct sizes compared to patients with cortical PVS alone.16 It is possible that patients with medullary PVS have a greater need for thrombolytic therapy.

Limitations

This is the first study aimed to synthesize the relationship between PVS-SWI and functional outcomes, early neurological damage, and hemorrhagic transformation after an acute ischemic stroke. The large sample size, along with subgroup and sensitivity analyses ensured the soundness of our conclusions. However, our study has some limitations. First, the included studies are observational studies, which can cause a selection bias. Second, a high degree of heterogeneity was observed in the meta-analysis. Third, the small sample size related to the early neurological deterioration and hemorrhagic transformation may affect our conclusions. Fourth, the number of articles related to Interventional treatment and PVS-SWI was low and none of them met the inclusion criteria.

Conclusion

In conclusion, PVS on SWI were related with a poor functional prognosis in patients treated with thrombolysis. Although the aggressive reperfusion therapy may be less effective in the PVS population, it may reduce the poor functional prognosis. We recommend routine PVS-SWI evaluation in patients with acute ischemic stroke to improve the prognosis of stroke. Large-scale trials are still needed to strengthen our understanding of PVS in ischemic stroke.

Acknowledgments

We are grateful to all the articles and authors associated with the PVS-SWI.

Funding Statement

This study is supported by 1) CAMS Innovation Fund for Medical Sciences (2019-I2M-5-029). 2) Beijing Municipal Committee of Science and Technology (Z201100005620010).

Data Sharing Statement

All data relevant to the study are included in the article or uploaded as supplementary information.

Ethics Statement

Not required.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

The research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  • 1.Knudsen AK, Collaborators GN. Disease burden in the Nordic region. Results from the global burden of disease study 2017 (GBD 2017). Eur J Public Health. 2019;29:65. doi: 10.1093/eurpub/ckz185.161 [DOI] [Google Scholar]
  • 2.Wang YJ, Li ZX, Gu HQ, et al. China stroke statistics 2019: a report from the National Center for Healthcare Quality Management in Neurological Diseases, China National Clinical Research Center for Neurological Diseases, the Chinese Stroke Association, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention and Institute for Global Neuroscience and Stroke Collaborations. Stroke Vasc Neurol. 2020;5(3):211–239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Chao BH, Yan F, Hua Y, et al. Stroke prevention and control system in China: CSPPC-stroke program. Int j Stroke. 2021;16(3):265–272. doi: 10.1177/1747493020913557 [DOI] [PubMed] [Google Scholar]
  • 4.Virani SS, Alonso A, Benjamin EJ, et al. Heart disease and stroke statistics-2020 update: a report from the American Heart Association. Circulation. 2020;141(9):e139–e596. [DOI] [PubMed] [Google Scholar]
  • 5.Haacke EM, Mittal S, Wu Z, Neelavalli J, Cheng YC. Susceptibility-weighted imaging: technical aspects and clinical applications, part 1. AJNR Am J Neuroradiol. 2009;30(1):19–30. doi: 10.3174/ajnr.A1400 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mittal P, Kalia V, Dua S. Pictorial essay: susceptibility-weighted imaging in cerebral ischemia. Indian J Radiol Imaging. 2010;20(4):250–253. doi: 10.4103/0971-3026.73530 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Jensen-Kondering U, Bohm R. Asymmetrically hypointense veins on T2*w imaging and susceptibility-weighted imaging in ischemic stroke. World J Radiol. 2013;5(4):156–165. doi: 10.4329/wjr.v5.i4.156 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Rauscher A, Sedlacik J, Barth M, Haacke EM, Reichenbach JR. Nonnvasive assessment of vascular architecture and function during modulated blood oxygenation using susceptibility weighted magnetic resonance imaging. Magn Reson Med. 2005;54(1):87–95. doi: 10.1002/mrm.20520 [DOI] [PubMed] [Google Scholar]
  • 9.Rosso C, Belleville M, Pires C, et al. Clinical usefulness of the visibility of the transcerebral veins at 3T on T2*-weighted sequence in acute stroke patients. Eur J Radiol. 2012;81(6):1282–1287. doi: 10.1016/j.ejrad.2011.03.025 [DOI] [PubMed] [Google Scholar]
  • 10.Sun W, Liu W, Zhang Z, et al. Asymmetrical cortical vessel sign on susceptibility-weighted imaging: a novel imaging marker for early neurological deterioration and unfavorable prognosis. Eur J Neurol. 2014;21(11):1411–1418. doi: 10.1111/ene.12510 [DOI] [PubMed] [Google Scholar]
  • 11.Yu J, Wang L, Li Z, Wang S, Wang G. Related factors of asymmetrical vein sign in acute middle cerebral artery stroke and correlation with clinical outcome. J Stroke Cerebrovasc Dis. 2017;26(10):2346–2353. doi: 10.1016/j.jstrokecerebrovasdis.2017.05.023 [DOI] [PubMed] [Google Scholar]
  • 12.Wang Y, Shi T, Chen B, Lin G, Xu Y, Geng Y. Prominent hypointense vessel sign on susceptibility-weighted imaging is associated with clinical outcome in acute ischaemic stroke. Eur Neurol. 2018;79(5–6):231–239. doi: 10.1159/000488587 [DOI] [PubMed] [Google Scholar]
  • 13.Zhao G, Sun L, Wang Z, et al. Evaluation of the role of susceptibility-weighted imaging in thrombolytic therapy for acute ischemic stroke. J Clin Neurosci. 2017;40:175–179. doi: 10.1016/j.jocn.2017.01.001 [DOI] [PubMed] [Google Scholar]
  • 14.Yu X, Yuan L, Jackson A, et al. Prominence of medullary veins on susceptibility-weighted images provides prognostic information in patients with subacute stroke. Am J Neuroradiol. 2016;37(3):423–429. doi: 10.3174/ajnr.A4541 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Zhang X, Zhang S, Chen Q, Ding W, Campbell BCV, Lou M. Ipsilateral prominent thalamostriate vein on susceptibility-weighted imaging predicts poor outcome after intravenous thrombolysis in acute ischemic stroke. AJNR Am J Neuroradiol. 2017;38(5):875–881. doi: 10.3174/ajnr.A5135 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Jing L, Sui B, Shen M, Qin H, Gao P. Are prominent medullary veins better than prominent cortical veins as predictors of early clinical outcome in patients with acute ischemic stroke? Diagn Interventional Radiol. 2021;27(2):285–292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Vural A, Gocmen R, Oguz KK, Topcuoglu MA, Arsava EM. Bright and dark vessels on stroke imaging: different sides of the same coin? Diagn Interventional Radiol. 2016;22(3):284–290. doi: 10.5152/dir.2015.15271 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Li W, Xiao WM, Luo GP, et al. Asymmetrical cortical vein sign predicts early neurological deterioration in acute ischemic stroke patients with severe intracranial arterial stenosis or occlusion. BMC Neurol. 2020;20(1). doi: 10.1186/s12883-020-01907-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Liu YL, Yin HP, Qiu DH, et al. Multiple hypointense vessels on susceptibility-weighted imaging predict early neurological deterioration in acute ischaemic stroke patients with severe intracranial large artery stenosis or occlusion receiving intravenous thrombolysis. Stroke Vasc Neurol. 2020;5(4):361–367. doi: 10.1136/svn-2020-000343 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Zongji H, Qi T, Lin L, et al. Correlation between asymmetrically prominent cortical veins on susceptibility-weighted imaging and early neurological deterioration in patients with acute ischemic stroke. Int J Cerebrovasc Dis. 2020;28(2):87–92. [Google Scholar]
  • 21.Liu H, Mei W, Huang Y, Li Y, Liu H, Zhang J. The association between asymmetrically hypointense veins on susceptibility-weighted imaging and collateral circulation. Chin J Neurol. 2018;51(1):21–27. [Google Scholar]
  • 22.Chen CY, Chen CI, Tsai FY, Tsai PH, Chan WP. Prominent vessel sign on susceptibility-weighted imaging in acute stroke: prediction of infarct growth and clinical outcome. PLoS One. 2015;10(6):e0131118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ya-Nan J, Cui-Cui L, Jun-Yan L.Predictive value of asymmetrical cortical vein sign based on susceptibility weighted imaging for prognosis of patients with acute ischemic stroke. Chin J Stroke. 2019;14(7):639–644. [Google Scholar]
  • 24.Wang C, Wu S, Gong X. Asymmetrical hypointense cortical veins on susceptibility weighted imaging in patients with acute cerebral infarction. Chin J Neurol. 2017;50(6):452–456. [Google Scholar]
  • 25.Huang P, Chen CH, Lin WC, Lin RT, Khor GT, Liu CK. Clinical applications of susceptibility weighted imaging in patients with major stroke. J Neurol. 2012;259(7):1426–1432. doi: 10.1007/s00415-011-6369-2 [DOI] [PubMed] [Google Scholar]
  • 26.Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol. 2009;62(10):1006–1012. doi: 10.1016/j.jclinepi.2009.06.005 [DOI] [PubMed] [Google Scholar]
  • 27.Liu YL, Xiao WM, Lu JK, et al. Asymmetrical cortical vessel sign predicts prognosis after acute ischemic stroke. Brain Behav. 2020;10(7). doi: 10.1002/brb3.1657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Young AR, Sette G, Touzani O, et al. Relationships between high oxygen extraction fraction in the acute stage and final infarction in reversible middle cerebral artery occlusion: an investigation in anesthetized baboons with positron emission tomography. J Cereb Blood Flow Metab. 1996;16(6):1176–1188. doi: 10.1097/00004647-199611000-00012 [DOI] [PubMed] [Google Scholar]
  • 29.Kennan RP, Zhong J, Gore JC. Intravascular susceptibility contrast mechanisms in tissues. Magn Reson Med. 1994;31(1):9–21. doi: 10.1002/mrm.1910310103 [DOI] [PubMed] [Google Scholar]
  • 30.Xu Z, Duan Y, Yang B, Huang X, Pei Y, Li X. Asymmetric deep medullary veins in patients with occlusion of a large cerebral artery: association with cortical veins, leptomeningeal collaterals, and prognosis. Front Neurol. 2019;10:1292. doi: 10.3389/fneur.2019.01292 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Fujioka M, Okuchi K, Iwamura A, Taoka T, Siesjo BK, Mismatch A. Between the abnormalities in diffusion- and susceptibility-weighted magnetic resonance imaging may represent an acute ischemic penumbra with misery perfusion. J Stroke Cerebrovasc. 2013;22(8):1428–1431. [DOI] [PubMed] [Google Scholar]
  • 32.Luo S, Yang L, Wang L. Comparison of susceptibility-weighted and perfusion-weighted magnetic resonance imaging in the detection of penumbra in acute ischemic stroke. J Neuroradiol. 2015;42(5):255–260. doi: 10.1016/j.neurad.2014.07.002 [DOI] [PubMed] [Google Scholar]
  • 33.Payabvash S, Taleb S, Benson JC, et al. Susceptibility-diffusion mismatch in middle cerebral artery territory acute ischemic stroke: clinical and imaging implications. Acta Radiol. 2017;58(7):876–882. doi: 10.1177/0284185116675658 [DOI] [PubMed] [Google Scholar]
  • 34.Alves HC, Treurniet KM, Dutra BG, et al. Associations between collateral status and thrombus characteristics and their impact in anterior circulation stroke. Stroke. 2018;49(2):391–396. doi: 10.1161/STROKEAHA.117.019509 [DOI] [PubMed] [Google Scholar]
  • 35.Zhou Y, Wang Y, Wang J, Anne Stetler R, Yang QW. Inflammation in intracerebral hemorrhage: from mechanisms to clinical translation. Prog Neurobiol. 2014;115:25–44. doi: 10.1016/j.pneurobio.2013.11.003 [DOI] [PubMed] [Google Scholar]
  • 36.Schwarzmaier SM, Kim SW, Trabold R, Plesnila N. Temporal profile of thrombogenesis in the cerebral microcirculation after traumatic brain injury in mice. J Neurotrauma. 2010;27(1):121–130. doi: 10.1089/neu.2009.1114 [DOI] [PubMed] [Google Scholar]
  • 37.Li Q, Khatibi N, Zhang JH. Vascular neural network: the importance of vein drainage in stroke. Transl Stroke Res. 2014;5(2):163–166. doi: 10.1007/s12975-014-0335-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Baik SK, Choi W, Oh SJ, et al. Change in cortical vessel signs on susceptibility-weighted images after full recanalization in hyperacute ischemic stroke. Cerebrovasc Dis. 2012;34(3):206–212. doi: 10.1159/000342148 [DOI] [PubMed] [Google Scholar]
  • 39.Wang XC, Gao PY, Xue J, Liu GR, Ma L. Identification of infarct core and penumbra in acute stroke using CT perfusion source images. AJNR Am J Neuroradiol. 2010;31(1):34–39. doi: 10.3174/ajnr.A1740 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Meoded A, Poretti A, Benson JE, Tekes A, Huisman TA. Evaluation of the ischemic penumbra focusing on the venous drainage: the role of susceptibility weighted imaging (SWI) in pediatric ischemic cerebral stroke. J Neuroradiol. 2014;41(2):108–116. doi: 10.1016/j.neurad.2013.04.002 [DOI] [PubMed] [Google Scholar]
  • 41.Fujioka M, Okuchi K, Iwamura A, Taoka T, Siesjö BK. A mismatch between the abnormalities in diffusion- and susceptibility-weighted magnetic resonance imaging may represent an acute ischemic penumbra with misery perfusion. J Stroke Cerebrovasc Dis. 2013;22(8):1428–1431. doi: 10.1016/j.jstrokecerebrovasdis.2012.12.009 [DOI] [PubMed] [Google Scholar]
  • 42.Fisher M. The ischemic penumbra: identification, evolution and treatment concepts. Cerebrovasc Dis. 2004;17(Suppl 1):1–6. doi: 10.1159/000074790 [DOI] [PubMed] [Google Scholar]
  • 43.Darwish EAF, Abdelhameed-El-Nouby M, Geneidy E. Mapping the ischemic penumbra and predicting stroke progression in acute ischemic stroke: the overlooked role of susceptibility weighted imaging. Insights Imaging. 2020;11(1):6. doi: 10.1186/s13244-019-0810-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Viallon M, Altrichter S, Pereira VM, et al. Combined use of pulsed arterial spin-labeling and susceptibility-weighted imaging in stroke at 3T. Eur Neurol. 2010;64(5):286–296. doi: 10.1159/000321162 [DOI] [PubMed] [Google Scholar]
  • 45.Xia H, Sun H, He S, et al. Absent cortical venous filling is associated with aggravated brain edema in acute ischemic stroke. AJNR Am J Neuroradiol. 2021;42(6):1023–1029. doi: 10.3174/ajnr.A7039 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Oran I, Memis A, Sener RN, Yunten N. The so-called transcerebral veins: appearance in three different cases. Comput Med Imaging Graphics. 1999;23(3):127–131. doi: 10.1016/S0895-6111(99)00009-9 [DOI] [PubMed] [Google Scholar]
  • 47.Friedman DP. Abnormalities of the deep medullary white matter veins: MR imaging findings. AJR Am J Roentgenol. 1997;168(4):1103–1108. doi: 10.2214/ajr.168.4.9124123 [DOI] [PubMed] [Google Scholar]
  • 48.Wichmann T, DeLong MR. Functional and pathophysiological models of the basal ganglia. Curr Opin Neurobiol. 1996;6(6):751–758. doi: 10.1016/S0959-4388(96)80024-9 [DOI] [PubMed] [Google Scholar]
  • 49.Mink JW, Thach WT. Basal ganglia motor control. III. Pallidal ablation: normal reaction time, muscle cocontraction, and slow movement. J Neurophysiol. 1991;65(2):330–351. doi: 10.1152/jn.1991.65.2.330 [DOI] [PubMed] [Google Scholar]
  • 50.DeLong MR, Alexander GE, Mitchell SJ, Richardson RT. The contribution of basal ganglia to limb control. Prog Brain Res. 1986;64:161–174. [DOI] [PubMed] [Google Scholar]

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