Computed tomography perfusion and computed tomography angiography for prediction of clinical outcomes in ischemic stroke patients after thrombolysis.

Cerebral blood perfusion and cerebrovascular lesions are important factors that can affect the therapeutic efficacy of thrombolysis. At present, the majority of studies focus on assessing the accuracy of lesion location using imaging methods before treatment, with less attention to predictions of outcomes after thrombolysis. Thus, in the present study, we assessed the efficacy of combined computed tomography (CT) perfusion and CT angiography in predicting clinical outcomes after thrombolysis in ischemic stroke patients. The study included 52 patients who received both CT perfusion and CT angiography. Patients were grouped based on the following criteria to compare clinical outcomes: (1) thrombolytic and non-thrombolytic patients, (2) thrombolytic patients with CT angiography showing the presence or absence of a vascular stenosis, (3) thrombolytic patients with CT perfusion showing the presence or absence of hemodynamic mismatch, and (4) different CT angiography and CT perfusion results. Short-term outcome was assessed by the 24-hour National Institution of Health Stroke Scale score change. Long-term outcome was assessed by the 3-month modified Rankin Scale score. Of 52 ischemic stroke patients, 29 were treated with thrombolysis and exhibited improved short-term outcomes compared with those without thrombolysis treatment (23 patients). Patients with both vascular stenosis and blood flow mismatch (13 patients) exhibited the best short-term outcome, while there was no correlation of long-term outcome with CT angiography or CT perfusion findings. These data suggest that combined CT perfusion and CT angiography are useful for predicting short-term outcome, but not long-term outcome, after thrombolysis.

Detecting isocitrate dehydrogenase gene mutations in oligodendroglial tumors using diffusion tensor imaging metrics and their correlations with proliferation and microvascular density.

PURPOSE: Isocitrate dehydrogenase (IDH) mutations are frequently present in oligodendroglial tumors (OTs) and have prognostic value. We assessed whether diffusion tensor imaging (DTI) metrics could aid the noninvasive detection of IDH mutations and their correlations with tumor proliferation and microvascular density (MVD) in OTs. MATERIALS AND METHODS: Ninety patients with OTs who underwent conventional magnetic resonance imaging (MRI) and DTI were retrospectively reviewed (3T). IDH mutations were determined by immunohistochemical staining or direct sequencing. MVD and cell proliferation were evaluated by immunohistochemical staining with anti-CD31 and Ki-67, respectively. The Mann-Whitney U-test was applied to each of the imaging parameters. Spearman correlation analysis and receiver operating characteristic curve analysis were performed. RESULTS: The maximal fractional anisotropy (FA), ratio of maximal FA (rmFA), minimal ADC, and ratio of minimal (rmADC) values were demonstrated to be significantly different between the OTs with IDH1/2 mutations and those without mutations (P < 0.05). The areas under the curve (AUCs) for the maximal FA, rmFA, minimal ADC, and rmADC were 0.79, 0.82, 0.77, and 0.80, respectively. A combination rmFA and rmADC for the diagnosis of IDH1/2 mutations led to sensitivity, specificity, and AUC of 91.5%, 76.5%, and 0.86, respectively. The Ki-67 and MVD levels in the IDH-mutated samples were lower than those in the IDH wildtype cases (P < 0.05). CONCLUSION: DTI metrics may provide a noninvasive method for assessing the IDH statuses of OTs. Significantly higher minimal ADC and lower maximal FA in OTs with IDH mutations may suggest that IDH mutations lead to proliferation inhibition and an angiogenesis decrease.