Literature DB >> 23644501

Clinical relevance and practical implications of trials of perfusion and angiographic imaging in patients with acute ischaemic stroke: a multicentre cohort imaging study.

Joanna M Wardlaw1, Keith W Muir, Mary-Joan Macleod, Christopher Weir, Ferghal McVerry, Trevor Carpenter, Kirsten Shuler, Ralph Thomas, Paul Acheampong, Krishna Dani, Alison Murray.   

Abstract

BACKGROUND: In randomised trials testing treatments for acute ischaemic stroke, imaging markers of tissue reperfusion and arterial recanalisation may provide early response indicators.
OBJECTIVE: To determine the predictive value of structural, perfusion and angiographic imaging for early and late clinical outcomes and assess practicalities in three comprehensive stroke centres.
METHODS: We recruited patients with potentially disabling stroke in three stroke centres, performed magnetic resonance (MR) or CT, including perfusion and angiography imaging, within 6 h, at 72 h and 1 month after stroke. We assessed the National Institutes of Health Stroke Scale (NIHSS) score serially and functional outcome at 3 months, tested associations between clinical variables and structural imaging, several perfusion parameters and angiography.
RESULTS: Among 83 patients, median age 71 (maximum 89), median NIHSS 7 (range 1-30), 38 (46%) received alteplase, 41 (49%) had died or were dependent at 3 months. Most baseline imaging was CT (76%); follow-up was MR (79%) despite both being available acutely. At presentation, perfusion lesion size varied considerably between parameters (p<0.0001); 40 (48%) had arterial occlusion. Arterial occlusion and baseline perfusion lesion extent were both associated with baseline NIHSS (p<0.0001). Recanalisation by 72 h was associated with 1 month NIHSS (p=0.0007) and 3 month functional outcome (p=0.048), whereas tissue reperfusion, using even the best perfusion parameter, was not (p=0.11, p=0.08, respectively).
CONCLUSION: Early recanalisation on angiography appeared to predict clinical outcome more directly than did tissue reperfusion. Acute assessment with CT and follow-up with MR was practical and feasible, did not preclude image analysis, and would enhance trial recruitment and generalisability of results.

Entities:  

Keywords:  Stroke

Mesh:

Year:  2013        PMID: 23644501      PMCID: PMC3756443          DOI: 10.1136/jnnp-2012-304807

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


Introduction

New treatments for acute ischaemic stroke are likely to have modest effects, so randomised controlled trials (RCTs) based on clinical outcomes need large sample sizes. Large trials are expensive and time consuming. Imaging might accelerate drug evaluation by providing markers of clinically relevant treatment effects in the initial ‘proof-of-concept’ phase and potential imaging surrogate outcome markers in phase 3 trials.1 Reperfusion of the ischaemic tissue, recanalisation of the occluded artery or subacute infarct size1 on CT or MRI are all potential imaging markers. Arterial recanalisation was associated with more independent survival after stroke.2 Tissue reperfusion was associated with reduced final infarct size and possibly, with improved functional outcomes.3 4 Arterial recanalisation is not the same as tissue reperfusion, though these terms are often used interchangeably, adding to difficulties in interpreting previous studies.5 Perfusion and angiographic imaging have some disadvantages. Both require intravenous contrast (contraindicated in renal impairment and in diabetic patients receiving oral hypoglycaemic agents). Image acquisition and processing may delay treatment, attenuating tissue salvage. Patients must cooperate for diagnostic-quality images to be obtained. Some CT scanners have limited brain coverage for perfusion imaging. CT angiography (CTA) and perfusion imaging increase the radiation dose. Some patients with hyperacute stroke do not tolerate (or have contraindications to) MRI.6 The definition of tissue at risk of infarction varies7; which of the many perfusion parameters,8 flow thresholds9 and image acquisition and processing parameters9 to use has yet to be agreed. Whether reperfusion or recanalisation is the better or more practical marker for clinically relevant outcomes is unclear, there being few previous comparisons and these used magnetic resonance (MR) data.10 Performing either perfusion or angiographic imaging, rather than both, would make assessment of the patient with hyperacute stroke easier and faster. Being able to use either CT or MRI would also increase access by centres and patients to trials and might help to enhance recruitment rates beyond those seen in RCTs that to date have used advanced imaging to select patients for inclusion. We undertook this study in three regional stroke centres to test strategies for use of imaging in future clinical trials: first, practical aspects for trial design such as the effect on recruitment and image analysis of allowing use of either CT or MR in patients with hyperacute stroke; and second, whether imaging measures of tissue perfusion or arterial patency were most strongly associated with clinically relevant parameters.

Methods

This prospective study was conducted in three comprehensive regional UK stroke centres. The study was approved by the Scotland A multicentre research ethics committee (07/MRE00/96), and written informed consent was obtained from all competent patients, or from a relative of patients incapacitated by their stroke. There were limited data on which to calculate sample size. We aimed to recruit equal proportions of patients with CT and MR, perfusion and angiography at baseline and to test feasibility by the proportion recruited with each modality. We aimed to recruit at least 80 patients within the 2 years available for the study to obtain data to enable formal sample size calculations based on proportions with perfusion or angiographic lesions and associations with clinical and imaging outcomes for future RCTs. A STROBE checklist is included in online supplementary material.

Patient recruitment

We considered all patients with potentially disabling acute ischaemic stroke who could be imaged within 6 h of stroke onset with CT or MR. Patients with MR-incompatible implants or other standard MR contraindications were excluded from MR but could still have CT; patients with impaired renal function (estimated glomerular filtration rate ≤30 ml/min) were excluded. We recorded numbers of potentially eligible patients who were not recruited and the main reason for exclusion. Alteplase and other licensed acute treatments were given according to clinical indication.

Clinical assessment

We assessed National Institutes of Health Stroke Scale (NIHSS) score at baseline, 24 h, 72 h, 7 and 30 days, and stroke subtype by the Oxfordshire Community Stroke Project (OCSP) classification. We obtained demographic data, past medical history, medications and vital signs at baseline. We assessed functional outcome using the modified Rankin Scale (mRS) by structured interview,11 blind to early clinical and all imaging results, at 1 and 3 months.

Image acquisition

We performed admission imaging with either plain CT brain scan, CT perfusion (CTP) with bolus tracking of intravenous contrast and circle of Willis CTA; or with MR including diffusion imaging (DWI), T2-weighted or FLAIR, T2*-weighted imaging, perfusion imaging (MRP) by intravenous gadolinium bolus tracking and circle of Willis MR angiography (MRA). We aimed for a 50 : 50 balance with CT and MR, the choice of baseline imaging being dictated by scanner availability, patient compliance and contraindications. However, all three sites had hospital-based, research-dedicated MR scanners available in working hours and National Health Service CT scanners. We performed follow-up imaging with MR in all MRI-compatible patients at 72 h and 30 days, irrespective of the baseline imaging modality, and with CT for MR-incompatible patients. We used 72 h (3 days) for optimum capture of early imaging outcomes (72 h is the time at which peak infarct swelling occurs) and to assess haemorrhagic transformation. One centre did not perform 30-day angiography. CTP slices were located to cover any ischaemic lesion visible on plain CT and/or the standard Alberta Stroke Program Early CT Score (ASPECTS) score slices12 if no lesion was visible. We harmonised the protocols between centres to a common standard but otherwise left them as optimised for each site and scanner.

Image analysis

All analyses were blinded to clinical, imaging and outcome information. Image data were transferred via the Scottish National Picture Archiving and Communication System for central image analysis. We anonymised the data (using DICOMConfidential13) for offline central analysis. The perfusion parameter maps were generated offline using validated software.8 14 All baseline and follow-up MR diffusion, perfusion and CT data were registered to the baseline CT volume brain image or MR DWI B0 image and motion corrected. Quantitative (cerebral blood flow (CBF); cerebral blood volume (CBV); and mean transit time (MTT); time to peak (TTP) of the residue function (Tmax) and relative (arrival time fitted (ATF); TTP) parameter maps were produced. We performed deconvolution using singular value decomposition, by a delay-insensitive method (block-circulant matrix),8 14 15 and took arterial input function from the proximal contralateral middle cerebral artery (MCA) and venous outflow from the sagittal sinus. We did not apply specific thresholds, preferring to evaluate a range of parameters as these have not yet been widely tested against clinical or other imaging parameters,7 and consensus on processing9 has still to be decided through the Stroke Imaging Roadmap (STIR)16 and Stroke Treatment Academic Industry Roundtable (STAIR) groups (update expected 2013). One expert neuroradiologist performed qualitative image assessment. We quantified the ischaemic lesion extent on structural MR and plain CT imaging using the Third International Stroke Trial (IST-3)17 and ASPECTS scores12 which have similar inter- and intrarater reliability.18 ASPECTS quantifies perfusion and structural lesions in the MCA territory.12 The IST-3 score assesses all vascular territories and codes lesion location, extent, degree of tissue attenuation/signal intensity and mass effect.17 We quantified lesion swelling,17 presence and location of hyperattenuated artery17 19 haemorrhagic transformation and general brain appearance (prior stroke lesions, leukoaraiosis20 and atrophy21). We rated the extent of perfusion lesions using (1) the ASPECTS score,12 subtracting a point for each brain region affected, even in part, by the perfusion lesion and (2) by recording if there was (a) no visible perfusion lesion, (b) a visible perfusion lesion that was no more than 80% of, (c) about the same size as, or (d) 20% or more larger by visually estimated volume than the structural ischaemic lesion. These cut-off points were chosen to reflect previous studies.3 We scored all of the above perfusion parameters without thresholds (in the absence of a clearly agreed or validated threshold)7 and the extent of contrast enhancement on the dynamic source images (‘raw data’). Mismatch was defined as a perfusion lesion >1 ASPECTS points larger than the structural lesion. We scored arterial patency in the affected artery on CTA or MRA using base and maximum intensity projection angiographic images and the Mori22 23 and Thrombolysis in Myocardial Infarction (TIMI)24 scores, rating the primary occlusive lesion and patency of the immediately distal visible arteries, but not the distal arterial tree or tissue perfusion.

Data management and statistical analysis

We entered data into a purpose-designed centralised electronic case record form with consistency checks. The statistical analysis plan was finalised 6 months before recruitment completion. There were few differences in patient characteristics between centres, so we analysed the whole cohort together. We assessed changes in baseline clinical, structural, perfusion and angiography characteristics at 72 h and at 30 days. We analysed change in the extent of perfusion lesion between time points using (1) the change in ASPECT score and (2) change classified as ‘any reduction’, ‘no change’ or ‘any increase’ in perfusion lesion extent. We analysed change in arterial patency by change in the hyperattenuated artery sign and change in Mori/TIMI scores separately, and then created a composite score of ‘change in any of hyperattenuated artery or angiographic patency based on the TIMI score’. We did not impute missing data as the major reason for not undergoing follow-up imaging was death or being too unwell. We used the Spearman rank correlation and 95% CI, and the Wilcoxon–Mann–Whitney, Kruskal–Wallis and χ2 tests to explore associations between variables. We applied Bonferroni correction for multiple comparisons to the ASPECTS measurement of multiple perfusion parameter lesion sizes at baseline; other p values are not corrected.

Results

Recruitment

We screened 360 potentially eligible patients from 21 April 2008 to 31 March 2010 and recruited 83 (23%). The main reasons for exclusion were mild stroke/late arrival 125 (35%), outside 9:00–17:00 59 (16%), intolerant of imaging 12 (3%), refused consent 17 (5%), recruited to a competing study 52 (14%) or haemorrhagic stroke 4 (1%).

Patient characteristics

Of the 83 recruited, median age 71 years (maximum 89), 60% were male and vascular risk factors were common (see online supplementary table S1). Almost half, 38 (46%), received alteplase open label; two patients were randomised (to control) in a trial of alteplase in acute ischaemic stroke (http://www.ist3.com). The median baseline NIHSS score was 7, range 1–30, and 62 (75%) had total or partial anterior circulation stroke. At 3 months, 41 (49.4%) were dependent or had died (mRS 3–6). Most baseline imaging was with CT (63/83, 76%) but most follow-up imaging was with MR. The median time to first scan was 2.75 h (minimum 1.25, maximum 5.58 h), 42/83 patients (51%) being imaged <3 h and 49% from 3 to 6 h. Follow-up imaging was obtained in 72 at 72 h and 48 at 30 days (see online supplementary table S2). The main reasons for missing follow-up imaging were death (10) or being too unwell (20). Fewer patients completed perfusion and angiography imaging than structural imaging, but the completion rate did not differ between the first two modalities.

Structural imaging

At baseline, 63/83 (76%) patients had a visible ischaemic lesion on structural imaging, most (76%) in the MCA territory (see online supplementary table S2). Background brain changes included severe cerebral atrophy (9, 11%), severe white matter lesions (11, 13%) and prior infarct (24, 29%).

Perfusion imaging

The proportion of visible perfusion lesions at baseline and their size varied between perfusion parameters (figure 1). MTT-based parameters (MTT, ATF, TTP, and Tmax) were larger than CBF or CBV (signed-rank test p<0.0001 for all CBV and p<0.0009 for all CBF comparisons with MTT-based parameters, Bonferroni corrected). MTT-based lesions also showed more mismatch (figure 2). MTT-based lesion sizes did not differ, so we used Tmax in all further comparisons. At baseline, a Tmax lesion was visible in 48 (61%) patients, 31 of whom (65% of those with a Tmax lesion, 39% of all patients) had mismatch (see online supplementary table S2); by 30 days, the Tmax lesion volume had decreased in 32, was unchanged in 13 and increased in three patients; mismatch persisted on Tmax in 5 (10%) at 72 h and 1 (5%) at 30 days.
Figure 1

Extent of the perfusion lesion at baseline according to various perfusion parameters as quantified by the ASPECTS score. Shaded areas represent the IQR; horizontal line within the shaded area is the median, point marked within the shaded area is the mean. Where not shown separately, the median has the same value as the upper quartile: ASPECTS=10. ASPECTS, Alberta Stroke Program Early CT Score; ATF, arrival time fitted; CBF, cerebral blood flow; CBV, cerebral blood volume, MTT, mean transit time; raw data, lesion as seen on preprocessed perfusion image; TTP, time to peak; Tmax, time to peak of the residue function.

Figure 2

Perfusion lesions and mismatch rates by perfusion parameter. Mismatch defined as a perfusion lesion >20% larger than the structural lesion. CBF, cerebral blood flow; CBV, cerebral blood volume; Tmax, time to peak of the residue function, a measure of mean transit time.

Extent of the perfusion lesion at baseline according to various perfusion parameters as quantified by the ASPECTS score. Shaded areas represent the IQR; horizontal line within the shaded area is the median, point marked within the shaded area is the mean. Where not shown separately, the median has the same value as the upper quartile: ASPECTS=10. ASPECTS, Alberta Stroke Program Early CT Score; ATF, arrival time fitted; CBF, cerebral blood flow; CBV, cerebral blood volume, MTT, mean transit time; raw data, lesion as seen on preprocessed perfusion image; TTP, time to peak; Tmax, time to peak of the residue function. Perfusion lesions and mismatch rates by perfusion parameter. Mismatch defined as a perfusion lesion >20% larger than the structural lesion. CBF, cerebral blood flow; CBV, cerebral blood volume; Tmax, time to peak of the residue function, a measure of mean transit time.

Angiographic imaging

At baseline, 40/83 (48%) patients had an occluded intracranial artery, most being in the MCA main stem (22%) or MCA branch (27%, see online supplementary table S2). Sixteen patients without baseline arterial occlusion (16/43, 37%) had a baseline perfusion deficit on one or more perfusion parameters (figure 3, shows association for Tmax). Arterial occlusion persisted in 16 (40% of those with baseline occlusion or 22% of those imaged) at 72 h and in 4/48 (8%) at 30 days.
Figure 3

Proportions of patients with/without a perfusion defect (on Tmax) and/or arterial obstruction within 6 h, at 72 h and 30 days after stroke. Numbers on bars are numbers of patients. Tmax, time to peak of the residue function, a measure of mean transit time.

Proportions of patients with/without a perfusion defect (on Tmax) and/or arterial obstruction within 6 h, at 72 h and 30 days after stroke. Numbers on bars are numbers of patients. Tmax, time to peak of the residue function, a measure of mean transit time.

Baseline clinical and imaging associations

At baseline, a higher NIHSS score was associated with larger lesions on structural (p<0.0001) and perfusion imaging (all parameters, p<0.02–0.001) by ASPECTS and with arterial occlusion (p<0.001, table 1). Larger structural and perfusion lesions, but not arterial occlusion, were associated with increasing age; time to scanning was not associated with any imaging parameter. Arterial occlusion was associated with increasing baseline structural lesion extent (p<0.0001) and larger perfusion lesions (all p<0.0001, see online supplementary table S3).
Table 1

Association between baseline clinical (stroke severity and subtype, age and time to baseline scan) and imaging (structural, perfusion, arterial patency) variables

CT or MR:Structural imagingPerfusion imagingAngiography
VariableASPECTS scoreIST-3 scoreTmax w.r.t. structural lesion*Tmax ASPECTS scoreCBF w.r.t structural lesion*CBF ASPECTS scoreCBV w.r.t. structural lesion*CBV ASPECTS scoreArterial occlusion
NIHSS baseline−0.67 (−0.77 to −0.52); p<0.00010.60 (0.44 to 0.73); p<0.00010.33 (0.11 to 0.52); p=0.004−0.63 (−0.75 to −0.47); p<0.00010.34 (0.12 to 0.53); p=0.003−0.61 (−0.74 to −0.45); p<0.00010.38 (0.16 to 0.56); p=0.00074−0.59 (−0.72 to −0.42); p<0.0001p<0.0001
OCSPp<0.0001p<0.0001p<0.0001p<0.0001p=0.00025p<0.0001p=0.00042p<0.0001p<0.0001
Age (years)−0.25 (−0.44 to −0.03); p=0.030.28 (0.06 to 0.47); p=0.010.19 (−0.04 to 0.41); p=0.10−0.27 (−0.47 to −0.04); p=0.020.19 (−0.04 to 0.40); p=0.09−0.27 (−0.47 to −0.05); p=0.020.26 (0.04 to 0.46); p=0.02−0.34 (−0.53 to −0.12); p=0.0030.19
Time to first scan (hours)0.07 (−0.16 to 0.29); p=0.57−0.10 (−0.32 to 0.14); p=0.41−0.21 (−0.42 to 0.03); p=0.080.18 (−0.06 to 0.39); p=0.14−0.22 (−0.43 to 0.02); p=0.070.20 (−0.03 to 0.41); p=0.09−0.08 (−0.31 to 0.16); p=0.510.11 (−0.13 to 0.34); p=0.360.56

Angiography data analysed by Wilcoxon–Mann–Whitney test, except for OCSP which was analysed by χ2 test. All other associations assessed by Spearman correlation and 95% CI, except for OCSP groups which are compared using the Kruskal–Wallis test.

*Expresses the extent of the perfusion lesion with respect to the structural lesion according to whether there was (a) no visible lesion, (b) a visible lesion that was less than 80% of (c) the same size as, or (d) more than 20% larger than the structural ischaemic lesion.

ASPECTS, Alberta Stroke Program Early CT Score; CBF, cerebral blood flow; CBV, cerebral blood volume; IST-3, Third International Stroke Trial; MR, magnetic resonance; NIHSS, National Institutes of Health Stroke Scale; OCSP, Oxfordshire Community Stroke Project classification of stroke subtype; Tmax, time to peak of the residue function; w.r.t, with respect to.

Association between baseline clinical (stroke severity and subtype, age and time to baseline scan) and imaging (structural, perfusion, arterial patency) variables Angiography data analysed by Wilcoxon–Mann–Whitney test, except for OCSP which was analysed by χ2 test. All other associations assessed by Spearman correlation and 95% CI, except for OCSP groups which are compared using the Kruskal–Wallis test. *Expresses the extent of the perfusion lesion with respect to the structural lesion according to whether there was (a) no visible lesion, (b) a visible lesion that was less than 80% of (c) the same size as, or (d) more than 20% larger than the structural ischaemic lesion. ASPECTS, Alberta Stroke Program Early CT Score; CBF, cerebral blood flow; CBV, cerebral blood volume; IST-3, Third International Stroke Trial; MR, magnetic resonance; NIHSS, National Institutes of Health Stroke Scale; OCSP, Oxfordshire Community Stroke Project classification of stroke subtype; Tmax, time to peak of the residue function; w.r.t, with respect to.

Imaging and clinical outcome, reperfusion and recanalisation

Infarct extent on structural imaging at 1 month was associated with baseline NIHSS (Spearman correlation ASPECTS −0.59 (95% CI −0.75 to −0.36), p<0.001; IST-3 0.44 (95% CI 0.17 to 0.65), p=0.002) and with baseline OCSP (Kruskal–Wallis test: ASPECTS p=0.0002, IST-3 p=0.0071). Reperfusion by 72 h —that is, reduction in the perfusion lesion ASPECTS score, showed no consistent association by any perfusion parameter, with NIHSS at 72 h or 1 month or mRS at 1 or 3 months (table 2). However, arterial recanalisation by 72 h was associated with NIHSS at 7 days (p=0.04) and 1 month (p=0.0007) and with mRS at 1 (p=0.04) and 3 months (p=0.03; Wilcoxon).
Table 2

Imaging evidence of lesion reperfusion or arterial recanalisation and associations with clinical outcomes

ParameterReperfusionCT or MR perfusion: evidence of reperfusion on:CTA or MRA: recanalisation composite measure
Tmaxp ValueCBFp ValueCBVp Valuep Value
NIHSS day 7 (median, IQR)Yes6 (3, 11.5)0.0666 (3, 13)0.156 (3, 10.5)0.304.50 (2, 7)0.044
No3 (1, 6)3 (1, 7)3 (1, 7)9 (3.5, 13.5)
NIHSS 1 month (median, IQR)Yes2 (1, 5)0.112 (1, 6)0.0642 (1, 6)0.161 (0, 3)0.00065
No1 (0, 3)1 (0, 3)1.5 (0, 3)5 (3, 11)
mRS at 3 months (median, IQR)Yes3 (2, 4)0.0763 (2, 4)0.0673 (2, 4)0.112 (1, 3)0.028
No2 (1, 3)2 (1, 3)2 (1, 3)3 (2, 4)
Age, years (median, IQR)Yes74 (65, 82)0.07474 (65, 82)0.04775 (67, 83)0.008570 (63, 79)0.58
No68 (60, 77)69 (51, 74)67 (51, 72)70 (63, 77)

p Values are for the Wilcoxon–Mann–Whitney test comparing groups with/without reperfusion/recanalisation.

CBF, cerebral blood flow; CBV, cerebral blood volume; CTA, CT angiography; MR, magnetic resonance; MRA, MR angiography; mRS, modified Rankin Scale; NIHSS, National Institutes of Health Stroke Scale.

Imaging evidence of lesion reperfusion or arterial recanalisation and associations with clinical outcomes p Values are for the Wilcoxon–Mann–Whitney test comparing groups with/without reperfusion/recanalisation. CBF, cerebral blood flow; CBV, cerebral blood volume; CTA, CT angiography; MR, magnetic resonance; MRA, MR angiography; mRS, modified Rankin Scale; NIHSS, National Institutes of Health Stroke Scale.

Other imaging outcomes

Infarct swelling at 72 h was associated with larger perfusion lesions at baseline (Tmax, Spearman −0.536 (95% CI −0.688 to −0.337), p value <0.0001) and with persistent arterial occlusion at 72 h (Spearman −0.338, (95% CI −0.529 to −0.114), p=0.0035). Haemorrhagic transformation at 72 h was associated with baseline arterial occlusion (p=0.02) but not perfusion lesion extent or change in perfusion lesion by any parameter, or change in arterial patency.

Discussion

In this direct comparison in patients with moderate to severe stroke, half of whom were receiving intravenous alteplase, we found consistent associations between arterial occlusion/recanalisation and neurological or functional outcomes, but more variable clinical associations with NIHSS and mRS for perfusion lesions and reperfusion regardless of the perfusion parameter used. Potential imaging markers should be clinically relevant.25 The clinical relevance of arterial occlusion and recanalisation is supported by a meta-analysis of observational data,2 although meta-analyses are less clear for tissue perfusion, mismatch or reperfusion.4 26 We identify several other points of value for future stroke trials. Nearly 80% had a visible ischaemic lesion on baseline structural imaging, although most had CT and more than half were scanned within 3 h of stroke, confirming the usefulness of CT in moderate to severe stroke with a structured review process. MR with DWI might have shown acute ischaemic lesions in a higher proportion, but at the risk of patient loss to recruitment. We achieved high recruitment rates, while also giving thrombolytic treatment to nearly half the patients. We demonstrate that it is feasible to recruit with CT and follow-up with MR, removing the requirement to use only one modality in clinical trials, increasing patient participation and recruitment rates. We recruited four times as many patients during the study by allowing use of CT at presentation and MR for follow-up than if we had insisted on MR at presentation, despite having research-dedicated MR scanners in all three centres. We performed early follow-up imaging at 72 h to capture peak infarct swelling and haemorrhagic transformation, but follow-up imaging could be performed earlier depending on its main purpose. These actions together, if used in RCTs, would increase the generalisability of the results, reduce time to trial completion and costs and enhance the rate at which new treatments could be tested. Our study had limitations. We were unable to recruit some patients outside 9:00–17:00 (16%). The difficulty of performing MR at presentation mirrors experience of other observational studies6 and RCTs.3 27 We used three CT and three MR scanners so our data will include between-scanner variability. However, no two scanners’ performance, even the same make and model, are identical or remain static. We minimised the impact of scanner variability by using sequences optimised for each scanner and centralised analysis. Furthermore, between-patient biological variability is generally larger than between-scanner variability, large sample sizes overcome patient and centre heterogeneity and provide generalisable results. CTP may cover less brain than MRP, but we scored all brain regions showing any involvement in the perfusion lesion, minimising the effect of reduced brain coverage. Visual quantification can be performed when volume assessment cannot —for example, where there is incomplete lesion coverage, or scan quality (eg, movement artefact) precludes computational assessment. We used a composite angiographic score, including evidence of arterial occlusion on angiography or hyperattenuated artery/absent flow void, but only after testing the individual components. Hyperattenuated artery is specific for arterial occlusion, although lacks sensitivity, but its disappearance was an independent predictor of good outcome in a large alteplase registry,19 justifying its use in a composite arterial patency score. We did not evaluate CTP base images which may help detect small peripheral arterial branch occlusions, potentially blunting the sensitivity of the association between occlusion/recanalisation and outcome. We did not report the results by alteplase allocation because use of alteplase was non-random and the bioeffects of alteplase contribute to the analysis of reperfusion and recanalisation. We did not use apparent diffusion coefficient (ADC), CT attenuation or perfusion threshold values to define lesions. However, there is no clear ADC threshold for infarct core,28 the observer reliability of ADC-based lesion measurement is limited,29 there is no validated perfusion threshold7 30 and different perfusion parameters produce widely different lesions.8 The study also had strengths. We used pragmatic composite imaging outcome measures but only after testing individual parameters; the composite measures were prespecified, as specific and as valid for defining recanalisation and reperfusion as possible.5 7 The qualitative image rating, performed by one observer carefully blinded to all other scan and clinical data, used extensively validated tools,12 17 18 31 and minimised observer variability. TIMI and Mori scores have been used widely by others,10 23 27 32 although the way in which they are used varies and other scores exist that should be tested in future work. We scored the primary point of arterial occlusion, thereby avoiding conflating several different aspects of vascular patency in one score, as discussed.33 We tested multiple perfusion parameters, demonstrating again the wide variability in lesion frequency, size and more importantly, confirming the variable relationship to functional outcome.8 We found little association between mismatch identified by any perfusion parameter and infarct growth or final clinical outcome. Our visual assessment method might have been insensitive, but there is good agreement between qualitative and quantitative data,29 and this result agrees with previous observational studies8 and trials.4 We show that persistent arterial occlusion and extensive perfusion defect at presentation predicted subacute lesion swelling; and arterial occlusion at baseline, but not recanalisation or reperfusion, was associated with haemorrhagic transformation. Many investigators prefer lesion volume to scoring measures, but volumes are unusable on poor quality images or where there is limited lesion coverage, and ‘volume’ does not distinguish the true increase in lesion extent from apparent growth due to swelling. Confounding effects of swelling on lesion volume might have influenced previous analyses.1 Insistence on quantitative analyses may restrain study design, resulting in data loss and slower recruitment. Our sample size is similar to that of other studies using multimodal imaging performed in many more centres.3 One previous study compared MR perfusion and angiography imaging with clinical variables in the same patients.10 This small study found stronger associations for clinical outcome with reperfusion, but their analysis might have been influenced by double counting perfusion in the version of the angiography (TIMI) score that was used. Another study that compared baseline CTP, CTA, plain CT and a composite score in 44 patients, found that CTP was a slightly stronger predictor of 3 month mRS than CTA, but that the composite score was the best predictor, but did not assess recanalisation or reperfusion.34 No other studies allowed both CT and MR to be used in the same patients. We examined all angiographic scores for stroke33: all conflate two or three components in one score—the primary obstruction, the vessels distal to the obstruction and tissue perfusion. This might have contributed to difficulties when using the scores in the past. No additional perfusion thresholds or parameters have been published since the systematic reviews of perfusion imaging.7 Angiography imaging of intracranial arteries with CT or MR is a clinically relevant marker for use in acute stroke treatment trials. Insistence on use of MR to assess patients before recruitment in trials will increase the number of centres required to overcome the restricted recruitment, increase costs, restrict the range of patients that can be recruited and limit generalisability of results. CT is the most commonly used modality for patient assessment before thrombolytic treatment; substantial data are now available indicating that it can be used safely in this situation.35 With appropriate image processing methods, both CT and MR can be used in patient follow-up; this increases flexibility, recruitment rates and generalisability of results. Visual image scoring was sensitive and detected changes in lesions and clinical outcomes with variation in perfusion or angiography lesion scores. Efforts to standardise acquisition, analysis and interpretation of perfusion imaging are required to reduce perfusion lesion variation; offline processing tools36 may help if quickly accessible and widely available. Scores for arterial occlusion and recanalisation should focus on arterial not tissue components now that perfusion imaging is available. If imaging is to be used as a ‘biomarker’ in acute stroke trials, then it should measure a pathological process and predict resulting benefit, or harm. A ‘qualified biomarker’ is not yet validated.25 A ‘surrogate outcome marker’ is a biomarker which definitely substitutes for a clinical endpoint and measures drug efficacy or toxicity. Biomarker validation is a graded, incremental, evidentiary process. Biomarkers should reflect clinically relevant endpoints.25 Arterial recanalisation may more closely match the requirements of a biomarker than perfusion imaging, partly because tissue perfusion varies more with biological and technical factors than does angiography, so has a more complex relationship to clinical parameters. However, considerably more data from perfusion and angiography imaging are required before imaging markers can substitute for clinical outcomes. Future RCTs and observational multicentre studies using complex imaging could maximise patient recruitment by using CT or MR at baseline and for follow-up. Pragmatic use of qualitative visual scoring and quantitative analyses also minimises data loss, maximising accessibility, recruitment and generalisability.
  36 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

2.  DSC perfusion MRI-Quantification and reduction of systematic errors arising in areas of reduced cerebral blood flow.

Authors:  Trevor K Carpenter; Paul A Armitage; Mark E Bastin; Joanna M Wardlaw
Journal:  Magn Reson Med       Date:  2006-06       Impact factor: 4.668

3.  RAPID automated patient selection for reperfusion therapy: a pooled analysis of the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET) and the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution (DEFUSE) Study.

Authors:  Maarten G Lansberg; Jun Lee; Soren Christensen; Matus Straka; Deidre A De Silva; Michael Mlynash; Bruce C Campbell; Roland Bammer; Jean-Marc Olivot; Patricia Desmond; Stephen M Davis; Geoffrey A Donnan; Gregory W Albers
Journal:  Stroke       Date:  2011-04-14       Impact factor: 7.914

4.  Assessing reperfusion and recanalization as markers of clinical outcomes after intravenous thrombolysis in the echoplanar imaging thrombolytic evaluation trial (EPITHET).

Authors:  Deidre A De Silva; John N Fink; Soren Christensen; Martin Ebinger; Christopher Bladin; Christopher R Levi; Mark Parsons; Ken Butcher; P Alan Barber; Geoffrey A Donnan; Stephen M Davis
Journal:  Stroke       Date:  2009-05-28       Impact factor: 7.914

5.  Recanalisation of middle cerebral artery occlusion after intra-arterial thrombolysis: different recanalisation grading systems and clinical functional outcome.

Authors:  M Arnold; K Nedeltchev; L Remonda; U Fischer; C Brekenfeld; B Keserue; G Schroth; H P Mattle
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-10       Impact factor: 10.154

Review 6.  Magnetic resonance perfusion diffusion mismatch and thrombolysis in acute ischaemic stroke: a systematic review of the evidence to date.

Authors:  I Kane; P Sandercock; J Wardlaw
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-10-20       Impact factor: 10.154

7.  Imaging of the brain in acute ischaemic stroke: comparison of computed tomography and magnetic resonance diffusion-weighted imaging.

Authors:  P A Barber; M D Hill; M Eliasziw; A M Demchuk; J H W Pexman; M E Hudon; A Tomanek; R Frayne; A M Buchan
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-11       Impact factor: 10.154

Review 8.  Systematic review of perfusion imaging with computed tomography and magnetic resonance in acute ischemic stroke: heterogeneity of acquisition and postprocessing parameters: a translational medicine research collaboration multicentre acute stroke imaging study.

Authors:  Krishna A Dani; Ralph G R Thomas; Francesca M Chappell; Kirsten Shuler; Keith W Muir; Joanna M Wardlaw
Journal:  Stroke       Date:  2011-10-13       Impact factor: 7.914

9.  Acute stroke imaging research roadmap.

Authors:  Max Wintermark; Gregory W Albers; Andrei V Alexandrov; Jeffry R Alger; Roland Bammer; Jean-Claude Baron; Stephen Davis; Bart M Demaerschalk; Colin P Derdeyn; Geoffrey A Donnan; James D Eastwood; Jochen B Fiebach; Marc Fisher; Karen L Furie; Gregory V Goldmakher; Werner Hacke; Chelsea S Kidwell; Stephan P Kloska; Martin Köhrmann; Walter Koroshetz; Ting-Yim Lee; Kennedy R Lees; Michael H Lev; David S Liebeskind; Leif Ostergaard; William J Powers; James Provenzale; Peter Schellinger; Robert Silbergleit; Alma Gregory Sorensen; Joanna Wardlaw; Ona Wu; Steven Warach
Journal:  Stroke       Date:  2008-04-10       Impact factor: 7.914

10.  A large web-based observer reliability study of early ischaemic signs on computed tomography. The Acute Cerebral CT Evaluation of Stroke Study (ACCESS).

Authors:  Joanna M Wardlaw; Rüdiger von Kummer; Andrew J Farrall; Francesca M Chappell; Michael Hill; David Perry
Journal:  PLoS One       Date:  2010-12-30       Impact factor: 3.240

View more
  5 in total

1.  Identification of imaging selection patterns in acute ischemic stroke patients and the influence on treatment and clinical trial enrollment decision making.

Authors:  Marie Luby; Steven J Warach; Gregory W Albers; Jean-Claude Baron; Christophe Cognard; Antoni Dávalos; Geoffrey A Donnan; Jochen B Fiebach; Jens Fiehler; Werner Hacke; Maarten G Lansberg; David S Liebeskind; Heinrich P Mattle; Catherine Oppenheim; Peter D Schellinger; Joanna M Wardlaw; Max Wintermark
Journal:  Int J Stroke       Date:  2016-02       Impact factor: 5.266

Review 2.  Utility of perfusion imaging in acute stroke treatment: a systematic review and meta-analysis.

Authors:  Won Hyung A Ryu; Michael B Avery; Navjit Dharampal; Isabel E Allen; Steven W Hetts
Journal:  J Neurointerv Surg       Date:  2016-11-09       Impact factor: 5.836

3.  How many stroke patients might be eligible for mechanical thrombectomy?

Authors:  Salwa El Tawil; Bharath Cheripelli; Xuya Huang; Fiona Moreton; Dheeraj Kalladka; Niall Jj MacDougal; Ferghal McVerry; Keith W Muir
Journal:  Eur Stroke J       Date:  2016-08-30

Review 4.  Acute Stroke Imaging Research Roadmap II.

Authors:  Max Wintermark; Gregory W Albers; Joseph P Broderick; Andrew M Demchuk; Jochen B Fiebach; Jens Fiehler; James C Grotta; Gary Houser; Tudor G Jovin; Kennedy R Lees; Michael H Lev; David S Liebeskind; Marie Luby; Keith W Muir; Mark W Parsons; Rüdiger von Kummer; Joanna M Wardlaw; Ona Wu; Albert J Yoo; Andrei V Alexandrov; Jeffry R Alger; Richard I Aviv; Roland Bammer; Jean-Claude Baron; Fernando Calamante; Bruce C V Campbell; Trevor C Carpenter; Søren Christensen; William A Copen; Colin P Derdeyn; E Clarke Haley; Pooja Khatri; Kohsuke Kudo; Maarten G Lansberg; Lawrence L Latour; Ting-Yim Lee; Richard Leigh; Weili Lin; Patrick Lyden; Grant Mair; Bijoy K Menon; Patrik Michel; Robert Mikulik; Raul G Nogueira; Leif Ostergaard; Salvador Pedraza; Christian H Riedel; Howard A Rowley; Pina C Sanelli; Makoto Sasaki; Jeffrey L Saver; Pamela W Schaefer; Peter D Schellinger; Georgios Tsivgoulis; Lawrence R Wechsler; Philip M White; Greg Zaharchuk; Osama O Zaidat; Stephen M Davis; Geoffrey A Donnan; Anthony J Furlan; Werner Hacke; Dong-Wha Kang; Chelsea Kidwell; Vincent N Thijs; Götz Thomalla; Steven J Warach
Journal:  Stroke       Date:  2013-07-16       Impact factor: 7.914

Review 5.  Clinical imaging in regenerative medicine.

Authors:  Anna V Naumova; Michel Modo; Anna Moore; Charles E Murry; Joseph A Frank
Journal:  Nat Biotechnol       Date:  2014-08       Impact factor: 68.164

  5 in total

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