Early signs of middle cerebral artery infarction on multidetector computed tomography: Review of 20 cases

Role of decompressive craniectomy in the management of acute ischemic stroke (Review)

The application of decompressive craniectomy (DC) is thoroughly documented in the management of brain edema, particularly following traumatic brain injury. However, an increasing amount of concern is developing among the universal medical community as regards the application of DC in the treatment of other causes of brain edema, such as subarachnoid hemorrhage, cerebral hemorrhage, sinus thrombosis and encephalitis. Managing stroke continues to remain challenging, and demands the aggressive and intensive consulting of a number of medical specialties. Middle cerebral artery (MCA) infarcts, which consist of 1-10% of all supratentorial infarcts, are often associated with mass effects, and high mortality and morbidity rates. Over the past three decades, a number of neurosurgical medical centers have reported their experience with the application of DC in the treatment of malignant MCA infarction with varying results. In addition, over the past decade, major efforts have been dedicated to multicenter randomized clinical trials. The present study reviews the pertinent literature to outline the use of DC in the management of malignant MCA infarction. The PubMed database was systematically searched for the following terms: 'Malignant cerebral infarction', 'surgery for stroke', 'DC for cerebral infarction', and all their combinations. Case reports were excluded from the review. The articles were categorized into a number of groups; the majority of these were human clinical studies, with a few animal experimental clinical studies. The surgical technique involved was DC, or hemicraniectomy. Other aspects that were included in the selection of articles were methodological characteristics and the number of patients. The multicenter randomized trials were promising. The mortality rate has unanimously decreased. As for the functional outcome, different scales were employed; the Glasgow Outcome Scale Extended was not sufficient; the Modified Rankin Scale and Bathel index, as well as other scales, were applied. Other aspects considered were demographics, statistics and the very interesting radiological ones. There is no doubt that DC decreases mortality rates, as shown in all clinical trials. Functional outcome appears to be the goal standard in modern-era neurosurgery, and quality of life should be further discussed among the medical community and with patient consent.

Correlation between clinical and brain computed tomography findings of stroke patients: A cross-sectional study

Background and Aims

In developing countries, the burden of stroke is growing and causing significant morbidity and disability with high mortality rates. Neuroimaging plays a crucial role in differentiating ischemic stroke from an intracerebral hemorrhage, as well as entities other than stroke. This study sought to determine the correlation between the clinical and brain CT scan findings of stroke patients attending three hospitals in Kampala, Uganda.

Methods

This was a cross-sectional study of clinically suspected stroke patients who were sent for brain CT scan at three selected hospitals in Kampala, Uganda. All brain CT scans of patients with suspected stroke were evaluated and the Alberta stroke program early CT score (ASPECTS) was used for middle cerebral artery (MCA) strokes. Univariate analysis was used to describe the clinico-demographic and brain CT features of stroke and summarized them as percentages. Bivariate and multivariate analysis were used to determine the adjusted odds ratios as a measure of association with a 95% confidence interval (CI).

Results

Of the 270 study participants, 141 (52.2%) were male. 162 (60%) had CT findings of stroke, and 90 (33.3%) had normal brain CT findings. Eighteen (6.7%) had other CT findings like tumor, dural hemorrhage, epidermoid cyst, and others. Ischemic stroke, hemorrhagic stroke, and subarachnoid hemorrhage accounted for 124 (45.9%), 34 (12.6%), and 4 (1.5%) respectively. Limb weakness (55.2%), headache (41.1%), and loss of consciousness (39.3%) were associated with stroke findings on CT. Among the acute ischemic strokes, 30 (73.2%) had a worse (0-7) ASPECT score. Those aged ≥65 years were associated with a worse ASPECTS [AOR: 22.01, (95% CI: 1.58-306.09) p = 0.021].

Conclusion

More than a third of patients with a clinical diagnosis of stroke had either no CT features of stroke or had other findings. The most commonly affected vascular territory was left MCA. Old age was strongly associated with having the worst ASPECTS score.

Prediction model of early biomarkers of massive cerebral infarction caused by anterior circulation occlusion: Establishment and evaluation

Objective

The purpose of this study is to establish and evaluate an early biomarker prediction model of massive cerebral infarction caused by anterior circulation occlusion.

Methods

One hundred thirty-four patients with acute cerebral infarction from January 2018 to October 2020 were selected to establish the development cohort for the internal test of the nomogram. Ninety-one patients with acute cerebral infarction hospitalized in our hospital from December 2020 to December 2021 were constituted the validation cohort for the external validation. All patients underwent baseline computed tomography (CT) scans within 12 h of onset and early imaging signs (hyperdense middle cerebral artery sign, obscuration of the lentiform nucleus, insular ribbon sign) of acute cerebral infarction were identified on CT by two neurologists. Based on follow-up CT images, patients were then divided into a massive cerebral infarction group and a non-massive cerebral infarction group. The nomogram model was constructed based on logistic regression analysis with R language. The nomogram was subsequently validated in an independent external validation cohort. Accuracy and discrimination of the prediction model were evaluated by a calibration chart, receiver operating characteristic (ROC) curve, and decision curve.

Results

The indicators, including insular ribbon sign, reperfusion therapy, National Institutes of Health Stroke Scale (NHISS) score, previous cerebral infarction, and atrial fibrillation, were entered into the prediction model through binary logistic regression analysis. The prediction model showed good predictive ability. The area under the ROC curve of the prediction model was 0.848. The specificity, sensitivity, and Youden index were 0.864, 0.733, and 0.597, respectively. This nomogram to the validation cohort also showed good discrimination (AUC = 0.940, 95% CI 0.894–0.985) and calibration.

Conclusion

Demonstrating favorable predictive efficacy and reproducibility, this study successfully established a prediction model of CT imaging signs and clinical data as early biomarkers of massive cerebral infarction caused by anterior circulation occlusion.

Risk factors associated with recurrence of ischemic stroke after intracranial stenting in china: a case-control study

Objectives: To investigate the factors affecting the risk of recurrent stroke after intracranial artery stenting.Methods: This is a subgroup analysis of a prospective single-arm registry study with 20 participating sites. Patients aged 18-85 years old with symptomatic intracranial atherosclerotic stenosis caused by 70-99% stenosis combined with poor collaterals were included in this study. The median follow-up in this study was 26.4 months.Results: A total of 260 patients were recruited in this study. Ischemic stroke related to target vessel occurred in 11 patients (4.2%) from 30 days to the last follow-up. The multivariate analysis revealed age ≥60 years old (OR: 11.991, 95% CI: 1.400-102.716; p = 0.023), no smoking (OR: 0.087, 95% CI: 0.010-0.787; p = 0.030), and Mori C type (OR: 5.129, 95% CI: 1.242-21.178; p = 0.024) retained significance in the model. There was no significant difference in the ischemic stroke based on medical history of hypertension, diabetes, dyslipidemia, baseline percent stenosis, length of stenosis, residual stenosis, and different stent types.Conclusions: Recurrence of ischemic stroke after intracranial stenting may be associated with elderly age, non-smoking, and Mori C type lesion. These factors will need to be monitored in future trials of intracranial stenting.Clinical Trial Registration: URL: http://www.clinicaltrials.gov. Unique identifier: NCT01968122.

Does radiological conjugate eye deviation sign play a role in acute stroke imaging? A meta-analysis

BACKGROUND AND PURPOSE

The diagnostic value of non-contrast CT (NCCT) in acute stroke imaging remains indispensable, especially under emergency conditions with limited resources. The radiological conjugate eye deviation (RCED) has been demonstrated as a NCCT sign to predict acute ischemic stroke (AIS) or AIS secondary to large vessel occlusion (LVO) in recent studies. We performed a meta-analysis to gain a better understanding into the predictive role of RCED for AISs and LVO-AISs.

METHODS

We conducted a systematic literature search using PubMed, Embase, and Cochrane. The search focused on studies published between January 2000 and August 2020 that reported the predictive value of RCED for the diagnosis of AIS or LVO-AIS. Principal measurements of the meta-analysis were the overall sensitivity, specificity, the positive likelihood ratio (PLR), and the negative likelihood ratio (NLR) of RCED in predicting AIS and LVO-AIS.

RESULTS

We included 11 studies (n = 2304). For AIS, RCED had a sensitivity of 0.37 (95% CI 0.27-0.47), a specificity of 0.86 (95% CI 0.73-0.93), the area under the receiver operating characteristic curve (AUC) was 0.58 (95% CI 0.53-0.62), PLR was 2.5 (95% CI 1.5-4.4), and NLR was 0.74 (95% CI 0.65-0.84). For LVO-AIS, RCED had a sensitivity of 0.63 (95% CI 0.46-0.77), a specificity of 0.77 (95% CI 0.71-0.82), AUC was 0.63 (95% CI 0.46-0.77), PLR was 2.7 (95% CI 1.7-4.3), and NLR was 0.49 (95% CI 0.3-0.78).

CONCLUSION

RCED can be used to predict LVO-AIS. It is expected that this method will be extensively used and validated in acute stroke imaging, especially under emergency conditions with limited resources.