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Nukovic JJ, Opancina V, Ciceri E, Muto M, Zdravkovic N, Altin A, Altaysoy P, Kastelic R, Velazquez Mendivil DM, Nukovic JA, Markovic NV, Opancina M, Prodanovic T, Nukovic M, Kostic J, Prodanovic N. Neuroimaging Modalities Used for Ischemic Stroke Diagnosis and Monitoring. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1908. [PMID: 38003957 PMCID: PMC10673396 DOI: 10.3390/medicina59111908] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/16/2023] [Accepted: 10/26/2023] [Indexed: 11/26/2023]
Abstract
Strokes are one of the global leading causes of physical or mental impairment and fatality, classified into hemorrhagic and ischemic strokes. Ischemic strokes happen when a thrombus blocks or plugs an artery and interrupts or reduces blood supply to the brain tissue. Deciding on the imaging modality which will be used for stroke detection depends on the expertise and availability of staff and the infrastructure of hospitals. Magnetic resonance imaging provides valuable information, and its sensitivity for smaller infarcts is greater, while computed tomography is more extensively used, since it can promptly exclude acute cerebral hemorrhages and is more favorable speed-wise. The aim of this article was to give information about the neuroimaging modalities used for the diagnosis and monitoring of ischemic strokes. We reviewed the available literature and presented the use of computed tomography, CT angiography, CT perfusion, magnetic resonance imaging, MR angiography and MR perfusion for the detection of ischemic strokes and their monitoring in different phases of stroke development.
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Affiliation(s)
- Jasmin J. Nukovic
- Faculty of Pharmacy and Health Travnik, University of Travnik, 72270 Travnik, Bosnia and Herzegovina
- Department of Radiology, General Hospital Novi Pazar, 36300 Novi Pazar, Serbia
| | - Valentina Opancina
- Department of Radiology, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
- Diagnostic Imaging and Interventional Neuroradiology Unit, Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
- Diagnostic and Interventional Neuroradiology Unit, A.O.R.N. Cardarelli, 80131 Naples, Italy
| | - Elisa Ciceri
- Diagnostic Imaging and Interventional Neuroradiology Unit, Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Mario Muto
- Diagnostic and Interventional Neuroradiology Unit, A.O.R.N. Cardarelli, 80131 Naples, Italy
| | - Nebojsa Zdravkovic
- Department of Biomedical Statistics and Informatics, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
| | - Ahmet Altin
- Faculty of Medicine, Dokuz Eylul University, Izmir 35340, Turkey
| | - Pelin Altaysoy
- Faculty of Medicine, Bahcesehir University, Istanbul 34349, Turkey
| | - Rebeka Kastelic
- Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | | | - Jusuf A. Nukovic
- Faculty of Pharmacy and Health Travnik, University of Travnik, 72270 Travnik, Bosnia and Herzegovina
- Department of Radiology, General Hospital Novi Pazar, 36300 Novi Pazar, Serbia
| | - Nenad V. Markovic
- Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
| | - Miljan Opancina
- Department of Biomedical Statistics and Informatics, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
- Military Medical Academy, Faculty of Medicine, University of Defense, 11000 Belgrade, Serbia
| | - Tijana Prodanovic
- Department of Pediatrics, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
| | - Merisa Nukovic
- Department of Radiology, General Hospital Novi Pazar, 36300 Novi Pazar, Serbia
| | - Jelena Kostic
- Department of Radiology, Medical Faculty, University of Belgrade, 11120 Beograd, Serbia
| | - Nikola Prodanovic
- Department of Surgery, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
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van Poppel LM, B.L.M. Majoie C, Marquering HA, Emmer BJ. Associations between Early Ischemic Signs on Non-Contrast CT and Time since Acute Ischemic Stroke Onset: A Scoping Review. Eur J Radiol 2022; 155:110455. [DOI: 10.1016/j.ejrad.2022.110455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 07/15/2022] [Accepted: 07/25/2022] [Indexed: 11/03/2022]
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Hu N, Zhang T, Wu Y, Tang B, Li M, Song B, Gong Q, Wu M, Gu S, Lui S. Detecting brain lesions in suspected acute ischemic stroke with CT-based synthetic MRI using generative adversarial networks. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:35. [PMID: 35282087 PMCID: PMC8848363 DOI: 10.21037/atm-21-4056] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 11/26/2021] [Indexed: 02/05/2023]
Abstract
Background Difficulties in detecting brain lesions in acute ischemic stroke (AIS) have convinced researchers to use computed tomography (CT) to scan for and magnetic resonance imaging (MRI) to search for these lesions. This work aimed to develop a generative adversarial network (GAN) model for CT-to-MR image synthesis and evaluate reader performance with synthetic MRI (syn-MRI) in detecting brain lesions in suspected patients. Methods Patients with primarily suspected AIS were randomly assigned to the training (n=140) or testing (n=53) set. Emergency CT and follow-up MR images in the training set were used to develop a GAN model to generate syn-MR images from the CT data in the testing set. The standard reference was the manual segmentations of follow-up MR images. Image similarity was evaluated between syn-MRI and the ground truth using a 4-grade visual rating scale, the peak signal-to-noise ratio (PSNR), and the structural similarity index measure (SSIM). Reader performance with syn-MRI and CT was evaluated and compared on a per-patient (patient detection) and per-lesion (lesion detection) basis. Paired t-tests or Wilcoxon signed-rank tests were used to compare reader performance in lesion detection between the syn-MRI and CT data. Results Grade 2–4 brain lesions were observed on syn-MRI in 92.5% (49/53) of the patients, while the remaining syn-MRI data showed no lesions compared to the ground truth. The GAN model exhibited a weak PSNR of 24.30 dB but a favorable SSIM of 0.857. Compared with CT, syn-MRI led to an increase in the overall sensitivity from 38% (57/150) to 82% (123/150) in patient detection and from 4% (68/1,620) to 16% (262/1,620) in lesion detection (R=0.32, corrected P<0.001), but the specificity in patient detection decreased from 67% (6/9) to 33% (3/9). An additional 75% (70/93) of patients and 15% (77/517) of lesions missed on CT were detected on syn-MRI. Conclusions The GAN model holds potential for generating synthetic MR images from noncontrast CT data and thus could help sensitively detect individuals among patients with suspected AIS. However, the image similarity performance of the model needs to be improved, and further expert discrimination is strongly recommended.
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Affiliation(s)
- Na Hu
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Tianwei Zhang
- Department of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Yifan Wu
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Biqiu Tang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Minlong Li
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Department of Radiology, Zigong Fourth People's Hospital, Zigong, China
| | - Bin Song
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Min Wu
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Shi Gu
- Department of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
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Hong JH, Jeon I, Seo Y, Kim SH, Yu D. Radiographic predictors of clinical outcome in traumatic brain injury after decompressive craniectomy. Acta Neurochir (Wien) 2021; 163:1371-1381. [PMID: 33404876 DOI: 10.1007/s00701-020-04679-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 12/11/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Primary decompressive craniectomy (DC) is considered for traumatic brain injury (TBI) patients with clinical deterioration, presenting large amounts of high-density lesions on computed tomography (CT). Postoperative CT findings may be suitable for prognostic evaluation. This study evaluated the radiographic predictors of clinical outcome and survival using pre- and postoperative CT scans of such patients. METHODS We enrolled 150 patients with moderate to severe TBI who underwent primary DC. They were divided into two groups based on the 6-month postoperative Glasgow Outcome Scale Extended scores (1-4, unfavorable; 5-8, favorable). Radiographic parameters, including hemorrhage type, location, presence of skull fracture, midline shifting, hemispheric diameter, effacement of cisterns, parenchymal hypodensity, and craniectomy size, were reviewed. Stepwise logistic regression analysis was used to identify the prognostic factors of clinical outcome and 6-month mortality. RESULTS Multivariable logistic regression analysis revealed that age (odds ratio [OR] = 1.09; 95% confidence interval [CI] 1.032-1.151; p = 0.002), postoperative low density (OR = 12.58; 95% CI 1.247-126.829; p = 0.032), and postoperative effacement of the ambient cistern (OR = 14.52; 95% CI 2.234-94.351; p = 0.005) and the crural cistern (OR = 4.90; 95% CI 1.359-17.678; p = 0.015) were associated with unfavorable outcomes. Postoperative effacement of the crural cistern was the strongest predictor of 6-month mortality (OR = 8.93; 95% CI 2.747-29.054; p = 0.000). CONCLUSIONS Hemispheric hypodensity and effacement of the crural and ambient cisterns on postoperative CT after primary DC seems to associate with poor outcome in patients with TBI.
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Affiliation(s)
- Jung Ho Hong
- Department of Neurosurgery, Yeungnam University Hospital, Yeungnam University College of Medicine, 170, Hyeonchung street, Nam-Gu, Daegu, 42415, South Korea
| | - Ikchan Jeon
- Department of Neurosurgery, Yeungnam University Hospital, Yeungnam University College of Medicine, 170, Hyeonchung street, Nam-Gu, Daegu, 42415, South Korea
| | - Youngbeom Seo
- Department of Neurosurgery, Yeungnam University Hospital, Yeungnam University College of Medicine, 170, Hyeonchung street, Nam-Gu, Daegu, 42415, South Korea
| | - Seong Ho Kim
- Department of Neurosurgery, Yeungnam University Hospital, Yeungnam University College of Medicine, 170, Hyeonchung street, Nam-Gu, Daegu, 42415, South Korea
| | - Dongwoo Yu
- Department of Neurosurgery, Yeungnam University Hospital, Yeungnam University College of Medicine, 170, Hyeonchung street, Nam-Gu, Daegu, 42415, South Korea.
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McKean D, Kudari M, Landells M, Grant D, Johnson S, López de Heredia L, Yanny S, Woo EK. Validating a threshold of ocular gaze deviation for the prediction of acute ischaemic stroke. Clin Radiol 2014; 69:1244-8. [PMID: 25172206 DOI: 10.1016/j.crad.2014.07.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Revised: 05/01/2014] [Accepted: 07/09/2014] [Indexed: 10/24/2022]
Abstract
AIM To determine a threshold at which the degree of ocular gaze deviation (OGD) on axial imaging is highly specific for the prediction of acute ischaemic stroke. MATERIALS AND METHODS A retrospective analysis of 517 patients who had received MRI with diffusion-weighted imaging (DWI) for suspected acute stroke was performed. The degree of OGD was measured in all patients and the presence and location of infarction determined. The difference in OGD between groups was compared using the independent t-test for normally distributed data and the Mann-Whitney test for non-normal data. The sensitivity and specificity for degrees of OGD in the prediction of acute infarction was calculated using a receiver operating curve (ROC) analysis. RESULTS The imaging of 448 patients meeting the inclusion criteria was reviewed. Acute infarct was demonstrated in 34.8% (n=156). There was a significant difference in the degree of OGD between patients with an acute infarct and those without evidence of acute ischaemia (p<0.001). ROC curve analysis for OGD demonstrated area under the curve (AUC) = 0.619 with increasing degrees of OGD more specific for acute infarct. OGD >11.95° had a sensitivity of 17% and specificity of 95.9% in predicting acute infarction. CONCLUSION Significant OGD>11.95° has a high specificity for acute infarct. This threshold may provide a helpful additional sign in the detection of subtle acute infarct, particularly on axial CT brain imaging.
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Affiliation(s)
- D McKean
- Oxford University Hospitals National Health Service Trust, Radiology Department, John Radcliffe Hospital, Headley Way, Oxford, UK.
| | - M Kudari
- Oxford University Hospitals National Health Service Trust, Radiology Department, John Radcliffe Hospital, Headley Way, Oxford, UK
| | - M Landells
- New College, University of Oxford, Holywell St, Oxford OX1 3BN, UK
| | - D Grant
- Oxford University Hospitals National Health Service Trust, Radiology Department, John Radcliffe Hospital, Headley Way, Oxford, UK
| | - S Johnson
- Oxford University Hospitals National Health Service Trust, Radiology Department, John Radcliffe Hospital, Headley Way, Oxford, UK
| | - L López de Heredia
- Buckinghamshire Healthcare National Health Service Trust, Radiology Department, Aylesbury, UK
| | - S Yanny
- Buckinghamshire Healthcare National Health Service Trust, Radiology Department, Aylesbury, UK
| | - E K Woo
- Buckinghamshire Healthcare National Health Service Trust, Radiology Department, Aylesbury, UK
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Leary MC, Kidwell CS, Villablanca JP, Starkman S, Jahan R, Duckwiler GR, Gobin YP, Sykes S, Gough KJ, Ferguson K, Llanes JN, Masamed R, Tremwel M, Ovbiagele B, Vespa PM, Vinuela F, Saver JL. Validation of Computed Tomographic Middle Cerebral Artery “Dot” Sign. Stroke 2003; 34:2636-40. [PMID: 14593125 DOI: 10.1161/01.str.0000092123.00938.83] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
The middle cerebral artery (MCA) “dot” sign consists of hyperdensity of an arterial structure, seen as a dot in the sylvian fissure. The MCA dot sign has been proposed to indicate thrombosis of M2 or M3 MCA branches, analogous to the hyperdense middle cerebral artery (HMCA) sign indicating M1 thrombosis. The MCA dot sign has not been validated previously against the gold standard of conventional cerebral angiography.
Methods—
Noncontrast CT scans and immediately subsequent cerebral angiograms from 54 acute stroke patients within 8 hours of symptom onset were analyzed. CT films were inspected for the MCA dot sign and HMCA sign. Vascular findings on CT were compared with findings at angiography.
Results—
Mean patient age was 71 years; median National Institutes of Health Stroke Scale score was 16.5. Mean time from symptom onset to CT was 125 minutes, and that from CT to angiography was 117 minutes. All patients had arterial occlusion at angiography. Of the anterior circulation occlusions, M1 occlusions were noted in 28 patients, isolated M2 in 15, and isolated M3 in 4. One definite MCA dot sign was observed in 16.7% of patients, and an HMCA sign was observed in 13.9%. MCA dot sign performance in predicting the presence of M2 or M3 clot at angiography was as follows: sensitivity 38%, specificity 100%, positive predictive value 100%, negative predictive value 68%, and overall accuracy 73%.
Conclusions—
The MCA dot sign is a highly specific and moderately sensitive indicator of acute thrombus in the M2/M3 MCA branches, as validated by catheter angiography. The MCA dot sign is a useful additional acute stroke CT marker.
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Affiliation(s)
- Megan C Leary
- Department of Neurology, Division of Stroke and Cerebrovascular Disease, Palmer 125, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, Mass 02215, USA.
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Furuya Y, Hlatky R, Valadka AB, Diaz P, Robertson CS. Comparison of cerebral blood flow in computed tomographic hypodense areas of the brain in head-injured patients. Neurosurgery 2003; 52:340-5; discussion 345-6. [PMID: 12535362 DOI: 10.1227/01.neu.0000043931.83041.aa] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2002] [Accepted: 10/14/2002] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE Hypodense lesions identified on computed tomographic (CT) scans are often assumed to indicate ischemia. The purpose of this study was to investigate regional cerebral blood flow (rCBF) in hypodense areas of the brain after severe traumatic brain injury. METHODS CBF was measured by stable xenon-enhanced CT scans. Hypodense areas were identified, and rCBF values as well as CT density were averaged for the region. RESULTS Thirty (60%) of the 50 patients had a total of 45 hypodense regions, which were associated with either contusion (n = 30) or areas of infarction (n = 15). rCBF in the hypodense regions was variable, ranging from a low of 3.3 to a high of 72.5 ml/100 g/min. The cause of the lesion was the major factor associated with the level of rCBF. Although the average decrease in CT density was similar for the two types of lesions, the average rCBF was significantly lower and the difference in rCBF between the lesion and the contralateral side was greater when the hypodense lesion was associated with a contusion. A critical reduction in rCBF (<20 ml/100 g/min) was found in 19 (63%) of the hypodense regions associated with contusions but in only 4 (27%) of those from areas of infarction. CONCLUSION Hypodensity on plain CT scans does not always indicate reduction in CBF. This association was found more commonly when the low-density area was associated with a contusion. In hypodense areas associated with infarction, rCBF was variable and not commonly in the ischemic range at the time the CBF measurement was obtained.
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MESH Headings
- Adult
- Blood Flow Velocity/physiology
- Brain/blood supply
- Brain Concussion/diagnostic imaging
- Brain Concussion/surgery
- Cerebral Infarction/diagnostic imaging
- Cerebral Infarction/surgery
- Dominance, Cerebral/physiology
- Female
- Glasgow Coma Scale
- Head Injuries, Closed/diagnostic imaging
- Head Injuries, Closed/surgery
- Hematoma, Epidural, Cranial/diagnostic imaging
- Hematoma, Epidural, Cranial/surgery
- Hematoma, Subdural, Acute/diagnostic imaging
- Hematoma, Subdural, Acute/surgery
- Humans
- Male
- Middle Aged
- Radiography
- Regional Blood Flow/physiology
- Sensitivity and Specificity
- Xenon
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Affiliation(s)
- Yu Furuya
- Department of Neurosurgery, St. Marianna University School of Medicine, Kawasaki, Japan
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Tambasco N, Corea F, Luccioli R, Ciorba E, Parnetti L, Gallai V. Brain CT scan in acute ischemic stroke: early signs and functional outcome. Clin Exp Hypertens 2002; 24:687-96. [PMID: 12450244 DOI: 10.1081/ceh-120015345] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
There is evidence that an improvement of the diagnostic abilities could have a value for prognosis and therapy of the ischemic stroke. New neuroradiological strategies could be used with an amelioration of the evaluation and standardization of the ischemic damage. The value of early vascular sign remains controversial as a predictor of patient outcome. Early parenchymal changes are related to a poor outcome. The risk of hemorrhagic transformation increases with trombolytic therapy and especially with the onset of therapy. Between hemorrhagic transformation, only the large hematomas seems to be related to early deterioration and death. Brain Computed Tomography (CT) examination can give information about prognosis and therapeutic choice.
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Affiliation(s)
- Nicola Tambasco
- Dipartimento di Neuroscienze, Università di Perugia, Perugia, Italy.
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Efstathiou SP, Tsioulos DI, Zacharos ID, Tsiakou AG, Mitromaras AG, Mastorantonakis SE, Pefanis AV, Mountokalakis TD. A new classification tool for clinical differentiation between haemorrhagic and ischaemic stroke. J Intern Med 2002; 252:121-9. [PMID: 12190887 DOI: 10.1046/j.1365-2796.2002.01013.x] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
PURPOSE To develop a simple and reliable diagnostic tool for differentiation of cerebral infarction (CIF) from intracerebral haemorrhage (ICH) in order to aid clinicians to decide about starting antiplatelet therapy in settings where rapid access to computed tomography (CT) is lacking. METHODS Thirty variables regarding each patient admitted with acute stroke were recorded and considered in a logistic regression analysis using ICH as end-point (internal study). CT was used as the golden standard. The score derived was validated with data from the next consecutive stroke patients and was compared with the three preexisting scores (external validation study). RESULTS Amongst 235 patients (119 males, mean age 70.6 +/- 11.2 years) of the internal study, 43 (18.3%) had ICH. Four independent correlates of ICH were identified and used for the derivation of the following integer-based scoring system: number of points=6 * (neurological deterioration within 3 h from admission) + 4 * (vomiting) + 4 * (WBC > 12 000) + 3 * (decreased level of consciousness). In the external study [168 patients, 85 males, mean age 70.2 +/- 10.8 years, 31 (18.5%) with ICH], when the cut-offs < or =3 points for CIF and > or =11 points for ICH were used, sensitivity, specificity, and positive and negative predictive values of the score for detection of stroke type were 97, 99, 97 and 99%, respectively; exceeding noticeably the three previously proposed systems. CONCLUSIONS The proposed model provides an easy to use tool for sufficiently accurate differentiation between haemorrhagic and nonhaemorrhagic stroke on the basis of information available to all physicians early after admission.
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Affiliation(s)
- S P Efstathiou
- Third University Department of Medicine, Sotiria Hospital, Athens, Greece
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Leányvári Z, Vastagh I, Fülesdi B, Szirmai I, Lengyel A, Csiba L, Bereczki D. Computed tomographic and transcranial Doppler sonographic findings in acute and subacute phases of middle cerebral artery strokes. JOURNAL OF CLINICAL ULTRASOUND : JCU 2002; 30:33-37. [PMID: 11807852 DOI: 10.1002/jcu.10040] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
PURPOSE The aim of this study was to compare the sensitivities of visual and densitometric analyses of CT scans and transcranial Doppler sonograms (TCD) in detecting early changes in acute stroke. METHODS CT and TCD were each performed twice in 12 patients; first in the acute phase (within 28 hours of stroke onset), then in the subacute phase (mean +/- standard deviation, 6 +/- 3 days after onset) of a stroke. Hypodensity on the CT scans was evaluated visually, and the optical density of both the stroke region and the corresponding region on the unaffected side was measured. Measurement of flow parameters in the middle cerebral artery was carried out with TCD before or shortly (within 4 hours) after CT scanning. RESULTS In the acute phase, blood flow velocities were significantly lower on the affected side than they were on the unaffected side (means, 42 +/- 13 and 55 +/- 25 cm/second, respectively; p = 0.012). Marked asymmetry in flow velocity was found in 3 of the 4 patients who had normal CT scans in the acute phase. The asymmetry in flow velocity disappeared by the sixth day after the stroke. The resistance index did not correlate with the final infarct size. CONCLUSIONS In some patients, the use of TCD in acute stroke may show alterations that reflect tissue damage that is undetectable on CT. Therefore, CT and TCD should be considered complementary diagnostic tools in the acute phase of stroke.
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Affiliation(s)
- Zsolt Leányvári
- Department of Neurology, University of Debrecen, Medical School, Nagyerdei körút 98, Debrecen H-4012, Hungary
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