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1.
J Neuroradiol ; 44(1): 10-16, 2017 Feb.
Article in English | MEDLINE | ID: mdl-27939372

ABSTRACT

BACKGROUND AND PURPOSE: Recent developments in treatment of ischemic stroke increased importance of defining limits of ischemic insult by imaging. Some studies postulated that CTP is a promising technique, which can discriminate between ischemic core and penumbra. In this study, we sought to evaluate diagnostic performance of CTP-CBV colour maps, regarded as a marker of acute infarct; in comparison with DWI. MATERIALS AND METHODS: We retrospectively analyzed 48 patients with CTA proved major ischemic stroke within 12hours of onset, they had DWI and CTP exams within 1hour of each other, regardless of order. DWI sizes were calculated. Sensitivity, specificity, PPV and NPV of CBV colour maps for identification of acute infarcts were calculated. ROC curve was constructed. RESULTS: CBV colour maps missed a lot of small infarcts that were identified by DWI with an overall diagnostic accuracy of (62.5%) and low sensitivity (38.5%) for patients whom DWI size<70mL. Area under curve was 0.79. DWI size was an only predictor of abnormal CBV colour maps (P=0.005). CONCLUSIONS: Assuming direct equivalence of DWI and CBV-based core might be unrealistic for individual patients in clinical practice. CBV colour maps are highly specific for acute infarcts, but with lack of sufficient sensitivity; particularly for small sized infarcts.


Subject(s)
Brain Infarction/diagnostic imaging , Cerebral Cortex/blood supply , Cerebral Cortex/diagnostic imaging , Diffusion Magnetic Resonance Imaging/methods , Tomography, X-Ray Computed/methods , Aged , Aged, 80 and over , Blood Volume , Brain Infarction/pathology , Cerebral Cortex/pathology , Female , Humans , Image Interpretation, Computer-Assisted/methods , Male , Middle Aged , Perfusion Imaging/methods , ROC Curve , Retrospective Studies
2.
J Clin Imaging Sci ; 2: 42, 2012.
Article in English | MEDLINE | ID: mdl-22919556

ABSTRACT

OBJECTIVE: Cervical cancer is the third most common malignancy in women worldwide. Accurate staging of the disease is crucial in planning the optimal treatment strategy. The aim of this study was to evaluate the role of magnetic resonance imaging (MRI) in the assessment of extension and staging of cervical malignancy in correlation with histopathologic examination. MATERIALS AND METHODS: Thirty females with untreated pathologically proven uterine cervical carcinoma were included in this prospective study. The patients were 40 - 65 years of age and their average age was 45 years. All patients were subjected to routine clinical staging workup and underwent MRI for preoperative staging. Preoperative MRI findings were reviewed and compared with the final pathological staging that is the Gold Standard of reference. RESULTS: Histopathologic examination established that of the 30 tumors, 22 (73.3%) were squamous cell carcinoma. According to the International Federation of Gynecology and Obstetrics (FIGO) staging criteria, 2/30 patients (6.6%) were stage IB, 12/30 (40.3%) were IIA, 8/30 were IIB (26.6%), and 8/30 (26.6%) were IVA. MRI had a sensitivity of 100% and specificity 85.7% in the detection of parametrial infiltration, and a sensitivity of 100% and specificity of 90% in the detection of vaginal infiltration. It was sensitive (100%) and specific (100%) in detecting tumor extension to the stroma, urinary bladder, and rectum. Pathological examination demonstrated stage IB cervical carcinoma in 2/30 patients (6.6%), stage IIA disease in 10/30 patients (33.3%), stage IIB in 6/30 patients (20%), and stage IV disease in 8/30 patients (26.6%). MRI features demonstrated stage IB in 2/30 patients (6.6%), stage IIA disease in 12/30 patients (40%), stage IIB in 8/30 patients (26.6%), and stage IV disease in 8/30 patients (26.6%). MRI staging of cervical carcinoma was in concordance with histopathologic staging in stages IB and IVA and over-staging in IIA and IIB stages. CONCLUSION: MRI is an optimal non-invasive modality for preoperative staging of uterine cervical malignancy, and crucial in subsequent more accurate treatment planning.

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