Literature DB >> 24403904

Magnetic Resonance Imaging versus Computed Tomography in Transient Ischemic Attack and Minor Stroke: The More Υou See the More You Know.

François Moreau1, Negar Asdaghi2, Jayesh Modi3, Mayank Goyal3, Shelagh B Coutts4.   

Abstract

BACKGROUND: Magnetic resonance imaging (MRI) is proposed as the preferred imaging modality to investigate patients with transient ischemic attack (TIA). This is mainly based on a higher yield of small acute ischemic lesions; however, direct prospective comparisons are lacking. In this study, we aimed to directly compare the yield of acute ischemic lesions on MRI and computed tomography (CT) in the emergency diagnosis of suspected TIA or minor stroke.
METHODS: Consecutive patients aged 18 years or older presenting with minor stroke (NIHSS <4) or high-risk TIA and who were examined by a stroke neurologist within 24 h of symptom onset were prospectively enrolled in the CATCH study. Patients who had undergone both a baseline CT and an MRI within 24 h of symptom onset were included in this substudy. Baseline MRI and CT were interpreted independently to identify an acute ischemic lesion. The rates of acute ischemic lesions on CT and MRI were compared, and the volume of acute ischemic lesions was measured on MRI. In addition, the volume of acute ischemic lesions on MRI was compared between patients who had evidence of acute ischemia on CT and in those who did not.
RESULTS: A total of 347 patients were included, 168 with TIAs, 147 with minor strokes and 32 with a final diagnosis of a mimic. Acute ischemic lesions were detected in 39% of TIAs by using MRI versus 8% by using CT (p < 0.0001) and in 86% of minor strokes by using MRI versus 18% by using CT (p < 0.0001). Compared to MRI, CT had a sensitivity of 20% and a specificity of 98% in identifying an acute ischemic lesion. The infarct volume on diffusion-weighted MRI was larger in cases where the CT also showed an acute ischemic lesion (median 5.07 ml, IQR 10) as compared to lesions seen only on MRI (median 0.68 ml, IQR 1.31, p < 0.0001).
CONCLUSION: MRI is superior to CT in detecting the small ischemic lesions occurring after TIA and minor stroke. Since these lesions are clinically relevant, MRI should be the preferred imaging modality in this setting.

Entities:  

Keywords:  Computed tomography; Diffusion-weighted magnetic resonance imaging; Magnetic resonance imaging; Mild stroke; Transient ischemic attack

Year:  2013        PMID: 24403904      PMCID: PMC3884208          DOI: 10.1159/000355024

Source DB:  PubMed          Journal:  Cerebrovasc Dis Extra        ISSN: 1664-5456


Introduction

Multiple studies have shown that over half of the patients with transient ischemic attack (TIA) or minor stroke have evidence of acute ischemic tissue injury on early diffusion-weighted imaging (DWI) [1,2,3]. The sensitivity of DWI is highest if imaging is obtained earlier, preferably within the first 24 h after symptom onset [4]. Magnetic resonance imaging (MRI) has shown a superior sensitivity over CT in identifying ischemic lesions in the setting of suspected acute ischemic stroke [5]. Furthermore, in one study, it was shown to identify acute ischemic lesions in a third of patients with normal CT after TIA [6]. However, not all patients in this study completed both modalities, and a direct prospective comparison between MRI and CT in a population of patients with TIA or minor stroke is lacking. The aim of this study was to directly compare the diagnostic yield of MRI and CT imaging in a TIA and minor stroke population.

Methods

Patients

Patients were selected from the CATCH study; detailed inclusion criteria have previously been described [7]. Briefly, CATCH is a prospective cohort study of high-risk (focal weakness or speech disturbance lasting ≥5 min) TIA and minor stroke (NIHSS <4) patients enrolled between April 2008 and September 2010. Consecutive patients aged 18 years or older presenting with minor stroke or TIA were examined by a stroke neurologist within 24 h of symptom onset. Detailed baseline clinical and outcome information was prospectively collected from each patient. All patients had undergone a computed tomography (CT) within 24 h of symptom onset. In a subset of patients, we performed MRI of the brain at baseline and within 24 h of symptom onset. In this substudy, we included patients who had completed both CT and MRI within 24 h of symptom onset for their presenting event. Patients were further classified as ‘final diagnosis of TIA’ (focal neurologic symptoms that completely resolved within 24 h of symptom onset and TIA mimics excluded upon review of all investigations and follow-up data at 90 days), ‘final diagnosis of minor stroke’ (nondisabling, focal neurologic symptoms lasting more than 24 h and minor stroke mimics excluded) and ‘stroke or TIA mimics’. Overall data for the entire cohort includes all patients from the three categories.

Magnetic Resonance Imaging

All MRI images were acquired on a 3.0-T GE scanner. MRI sequences included DWI (slice thickness 3.5 mm and slice spacing 0.0 mm) and FLAIR. MRIs were evaluated by a neuroradiologist blind to the CT results. The classification of acute ischemic lesions required hyperintense signal on DWI with associated hypointensity or isointensity on apparent diffusion coefficient. If a DWI hyperintense lesion was also hyperintense on the apparent diffusion coefficient map, it was classified as a chronic lesion due to T2 shine-through phenomenon. Measurements of the planimetric DWI lesion volume were performed using Quantomo software [8]. DWI hyperintense lesion borders were defined using a semiautomated threshold intensity technique. In this population, we have previously shown a high intra- and interrater reliability in the measurement of small acute DWI lesions [9].

CT Imaging

All CT imaging was performed on a Siemens 64-slice scanner. A standard axial CT of the whole brain was performed with a sequential (nonhelical) technique at 5-mm slice thickness. Imaging was evaluated by a neuroradiologist who was given clinical information on the presenting event. CT scans were assessed blind to the results of the MRI. Acute ischemic lesions were defined on the CT scans as hypodensity or loss of gray-white matter differentiation using variable window width and center level settings increasing the gray-white matter contrast to optimize sensitivity [10]. Hypodensities darker than the normal white matter were not rated as acute ischemic lesions, since the time from symptom onset was always less than 24 h.

Statistical Analysis

Statistical analysis was completed with Stata (version 11). Standard descriptive statistics were used for continuous or binomial outcomes as appropriate. The rates of acute ischemic lesions on CT and MRI were compared using McNemar's test, since MRI and CT represent matched pairs for each patient. Distributions of lesion volume were compared using the Wilcoxon rank-sum (Wilcoxon-Mann-Whitney) test.

Results

A total of 347 patients were included in this study. Baseline characteristics are shown in table 1. Overall, acute ischemic lesions were more common on DWI (193/347: 56%) than on CT (41/347: 12%, p < 0.0001, table 2). We found out that 155 of the 306 (51%) CT-negative patients were positive on DWI-MRI. Considering DWI-MRI as the gold standard, in this study, CT has a sensitivity of 20% (38 CT-positive patients vs. 193 MRI-positive patients) and a specificity of 98% (151 CT-negative patients vs. 154 MRI-negative patients). There were 151 MRI-negative patients versus 306 CT-negative patients (49% negative predictive value for CT). In addition, 38 of 41 patients who had an acute lesion on CT had a concurrent lesion on DWI (93% positive predictive value for CT).
Table 1

Baseline characteristics of 347 patients

Age, years69 (22)
Male gender205 (59)
TIA at clinical presentationa190 (55)
Minor stroke at clinical presentationb157 (45)
Final diagnosis of TIAc168 (48)
Final diagnosis of minor stroke147 (42)
Stroke/TIA mimics32 (10)
Duration of symptomsd, min58 (107)
Baseline NIHSS if minor stroke2 (2)
Diabetes mellitus43 (12)
Hypertension185 (53)
Atrial fibrillation25 (7)
Current smoker55 (16)
Symptoms to baseline CT, h5 (5)
Symptoms to baseline MRI, h15 (12)
Time from CT to MRI, h8 (11)
DWI lesion volume, mm30.89 (2.76)

Values are medians (IQR) or n (%).

Resolved within 24 h.

Lasting more than 24 h.

Resolved within 24 h and mimics excluded.

Duration of symptoms in TIA.

Table 2

Acute ischemic changes in all patients (including mimics) seen on CT and MRI

CT positiveCT negativeTotal
DWI positive38155193 (56)
DWI negative3151154 (44)
Total41 (12)306 (88)347 (100)

Values are n (%). McNemar's χ2, p < 0.0001.

For the final diagnosis of TIA, the yield of both modalities was lower but a significant difference remained (table 3). Furthermore, 54 of the 155 (35%) CT-negative patients were positive on DWI (fig. 1). For the final diagnosis of minor stroke, the yield is higher for both modalities and the added yield of MRI is even greater (table 4). A total of 100 of the 120 (83%) CT-negative patients were positive on DWI.
Table 3

Acute ischemic changes in all patients with a final diagnosis of TIA seen on early CT and early MRI

CT positiveCT negativeTotal
DWI positive125466 (39)
DWI negative1101102 (61)
Total13 (8)155 (92)168 (100)

Values are n (%). McNemar's χ2, p < 0.0001.

Fig. 1

CT (a) and MRI (b) of the brain performed on the same day in a TIA patient showing no sign of acute ischemia on CT and a very small area of restricted diffusion on DWI-MRI.

Table 4

Acute ischemic changes in patients with a final diagnosis of minor stroke seen on early CT and early MRI

CT positiveCT negativeTotal
DWI positive26100126 (86)
DWI negative12021 (14)
Total27 (18)120 (82)147 (100)

Values are n (%). McNemar's χ2, p < 0.0001.

On DWI, the infarct volume was larger in CT-positive patients (median 5.07 ml, IQR 10) compared to CT-negative patients (median 0.68 ml, IQR 1.31, p < 0.0001). The median infarct volume (0.89 ml, IQR 2.76) and mean (2.92 ml, 95% CI 0.09-12.82) of all positive DWI lesions were small and not statistically different for TIA (median 1.13 ml, IQR 2.97) and minor stroke (median 0.845 ml, IQR 2.53) patients.

Discussion

The current study represents the first prospective direct comparison between acute CT scan findings and urgent MRI imaging. We found out that MRI imaging has a much higher yield than CT in identifying acute ischemic lesions in the setting of a clinical presentation of TIA or minor stroke. We also observed that the lesions missed by CT, but identified by MRI had a smaller infarct volume. Previous work has shown that DWI-MRI identifies acute ischemia in approximately 35-50% of patients presenting with TIA or minor stroke [1,11,12,13,14,15,16,17], and that, in this population, acute ischemic changes are less frequent (10%) on CT. In this study, we found out that 50% of patients who were negative on CT had evidence of an acute lesion on MRI. Forster et al. [6] recently reported that 33% of TIA patients with a normal baseline CT had evidence of acute infarction on MRI. We showed results comparable to those of Forster et al. [6] for the TIA subgroup and demonstrated an even larger proportion of acute infarction on MRI after negative CT in the minor stroke population. The yield of CT and MRI imaging for detection of acute ischemic changes is much higher in patients who present with disabling ischemic stroke [5]. This is thought to be mainly due to the larger infarct size [18]. Our results support this finding, as the sensitivity of CT alone in identifying ischemic lesions less than 1 ml in volume was extremely poor. A limitation of our study is that the CT and MRI studies were not conducted at the same time, with the time from symptom onset to imaging being longer for MRI compared to CT. Since early ischemic changes become more conspicuous over time, on imaging this potentially introduces bias in favor of MRI. The relatively short time span (median of 8 h) between the two studies reduces the likelihood of recurrent events that might affect the results. This study supports the use of MRI instead of CT for a patient presenting acutely with a TIA or minor stroke because of the superior yield of ischemia in small volume lesions. Previous literature has shown that the finding of an acute ischemic lesion on MRI adds useful clinical information. Firstly, the presence of an ischemic lesion in the brain causes symptoms in the patient. Secondly, location and distribution have diagnostic value in relation to the stroke mechanism [19], but localization on clinical grounds alone in the setting of transient symptoms is far from perfect [20]. Finally, an acute ischemic lesion on DWI in the investigation of TIA and minor stroke has prognostic value as a strong predictor of recurrent stroke [1,15,16,21,22,23].

Disclosure Statement

The authors have no conflicts of interest to disclose.
  23 in total

1.  Addition of brain infarction to the ABCD2 Score (ABCD2I): a collaborative analysis of unpublished data on 4574 patients.

Authors:  Matthew F Giles; Greg W Albers; Pierre Amarenco; Murat M Arsava; Andrew Asimos; Hakan Ay; David Calvet; Shelagh Coutts; Brett L Cucchiara; Andrew M Demchuk; S Claiborne Johnston; Peter J Kelly; Anthony S Kim; Julien Labreuche; Philippa C Lavallee; Jean-Louis Mas; Aine Merwick; Jean Marc Olivot; Francisco Purroy; Wayne D Rosamond; Rossella Sciolla; Peter M Rothwell
Journal:  Stroke       Date:  2010-07-15       Impact factor: 7.914

2.  Magnetic resonance imaging and computed tomography in emergency assessment of patients with suspected acute stroke: a prospective comparison.

Authors:  Julio A Chalela; Chelsea S Kidwell; Lauren M Nentwich; Marie Luby; John A Butman; Andrew M Demchuk; Michael D Hill; Nicholas Patronas; Lawrence Latour; Steven Warach
Journal:  Lancet       Date:  2007-01-27       Impact factor: 79.321

3.  Acute stroke: improved nonenhanced CT detection--benefits of soft-copy interpretation by using variable window width and center level settings.

Authors:  M H Lev; J Farkas; J J Gemmete; S T Hossain; G J Hunter; W J Koroshetz; R G Gonzalez
Journal:  Radiology       Date:  1999-10       Impact factor: 11.105

4.  Diffusion MRI in patients with transient ischemic attacks.

Authors:  C S Kidwell; J R Alger; F Di Salle; S Starkman; P Villablanca; J Bentson; J L Saver
Journal:  Stroke       Date:  1999-06       Impact factor: 7.914

5.  Quantomo: validation of a computer-assisted methodology for the volumetric analysis of intracerebral haemorrhage.

Authors:  Jayme C Kosior; Sherif Idris; Dar Dowlatshahi; Mohamed Alzawahmah; Muneer Eesa; Pranshu Sharma; Sarah Tymchuk; Michael D Hill; Richard I Aviv; Richard Frayne; Andrew M Demchuk
Journal:  Int J Stroke       Date:  2011-01-28       Impact factor: 5.266

6.  Reliability of measuring lesion volumes in transient ischemic attack and minor stroke.

Authors:  Nikolai Steffenhagen; Cynthia R Campos; Alexandre Y Poppe; Firosh Khan; Jayme C Kosior; Andrew M Demchuk; Michael D Hill; Shelagh B Coutts
Journal:  Stroke       Date:  2010-02-11       Impact factor: 7.914

7.  DWI lesions and TIA etiology improve the prediction of stroke after TIA.

Authors:  David Calvet; Emmanuel Touzé; Catherine Oppenheim; Guillaume Turc; Jean-François Meder; Jean-Louis Mas
Journal:  Stroke       Date:  2008-11-06       Impact factor: 7.914

8.  DWI abnormalities and clinical characteristics in TIA patients.

Authors:  Y Inatomi; K Kimura; T Yonehara; S Fujioka; M Uchino
Journal:  Neurology       Date:  2004-02-10       Impact factor: 9.910

9.  Clinical- and imaging-based prediction of stroke risk after transient ischemic attack: the CIP model.

Authors:  Hakan Ay; E Murat Arsava; S Claiborne Johnston; Mark Vangel; Lee H Schwamm; Karen L Furie; Walter J Koroshetz; A Gregory Sorensen
Journal:  Stroke       Date:  2008-10-23       Impact factor: 7.914

10.  Reliability of clinical diagnosis of the symptomatic vascular territory in patients with recent transient ischemic attack or minor stroke.

Authors:  Enrico Flossmann; Jessica N Redgrave; Dennis Briley; Peter M Rothwell
Journal:  Stroke       Date:  2008-07-17       Impact factor: 7.914

View more
  17 in total

1.  Pathophysiologic differences in cerebral autoregulation after subarachnoid hemorrhage.

Authors:  Gabriela A Santos; Nils Petersen; Amir A Zamani; Rose Du; Sarah LaRose; Andrew Monk; Farzaneh A Sorond; Can Ozan Tan
Journal:  Neurology       Date:  2016-04-22       Impact factor: 9.910

2.  Contribution of EEG in transient neurological deficits.

Authors:  Pierre Lozeron; Nadine Carole Tcheumeni; Sahar Turki; Hélène Amiel; Elodie Meppiel; Sana Masmoudi; Caroline Roos; Isabelle Crassard; Patrick Plaisance; Houria Benbetka; Jean-Pierre Guichard; Emmanuel Houdart; Hélène Baudoin; Nathalie Kubis
Journal:  J Neurol       Date:  2017-11-15       Impact factor: 4.849

3.  Candidate Biomarkers for the Diagnosis of Transient Ischemic Attack: A Systematic Review.

Authors:  L Servaas Dolmans; Frans H Rutten; Niels C T Koenen; Marie-Louise E L Bartelink; Johannes B Reitsma; L Jaap Kappelle; Arno W Hoes
Journal:  Cerebrovasc Dis       Date:  2019-08-30       Impact factor: 2.762

4.  Variability in the decision-making process of acute ischemic stroke in difficult clinical and radiological constellations: analysis based on a cross-sectional interview-administered stroke questionnaire.

Authors:  Aglaé Velasco González; Boris Buerke; Dennis Görlich; Rene Chapot; Lucas Smagge; Maria Del Valle Velasco; Cristina Sauerland; Walter Heindel
Journal:  Eur Radiol       Date:  2019-05-10       Impact factor: 5.315

Review 5.  An insight into the vision impairment following traumatic brain injury.

Authors:  Nilkantha Sen
Journal:  Neurochem Int       Date:  2017-02-02       Impact factor: 3.921

6.  When 'glaucomatous fields' are not glaucoma: bilateral calcarine fissure strokes masquerading as glaucoma in a normal tension glaucoma suspect.

Authors:  Nayomi Perera; Melissa Shields; Marlon Perera; Paul A Adler
Journal:  BMJ Case Rep       Date:  2019-03-21

7.  MRI-Based Neuroanatomical Predictors of Dysphagia, Dysarthria, and Aphasia in Patients with First Acute Ischemic Stroke
.

Authors:  Heather L Flowers; Mohammed A AlHarbi; David Mikulis; Frank L Silver; Elizabeth Rochon; David Streiner; Rosemary Martino
Journal:  Cerebrovasc Dis Extra       Date:  2017-02-16

8.  Magnetic resonance imaging detection of multiple ischemic injury produced in an adult rat model of minor stroke followed by mild transient cerebral ischemia.

Authors:  Ursula I Tuor; Min Qiao
Journal:  MAGMA       Date:  2016-11-04       Impact factor: 2.310

9.  To scan or not to scan? Examining the controversial issue of performing neuroimaging in adolescent patients presenting to a tertiary psychiatric inpatient unit.

Authors:  Zureida Khan; Anusha Lachman
Journal:  S Afr J Psychiatr       Date:  2020-02-06       Impact factor: 1.550

10.  Serum biomarkers in patients suspected of transient ischaemic attack in primary care: a diagnostic accuracy study.

Authors:  Louis Servaas Dolmans; Frans Rutten; Marie-Louise E L Bartelink; Ewoud J van Dijk; Paul J Nederkoorn; Jaap Kappelle; Arno W Hoes
Journal:  BMJ Open       Date:  2019-10-17       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.