BACKGROUND AND PURPOSE: Contrast-enhanced T1-weighted sampling perfection with application-optimized contrasts by using different flip angle evolution (SPACE) with the delay alternating with nutation for tailored excitation (DANTE) pulse could suppress the blood flow signal and provide a higher contrast-to-noise ratio of enhancing lesion-to-brain parenchyma than the MPRAGE sequence. The purpose of our study was to evaluate the usefulness of SPACE with DANTE compared with MPRAGE for detecting brain metastases. MATERIALS AND METHODS: Seventy-one patients who underwent contrast-enhanced SPACE with DANTE and MPRAGE sequences and who were suspected of having metastatic lesions were included. Two neuroradiologists determined the number of enhancing lesions, and diagnostic performance was evaluated using figure of merit, sensitivity, positive predictive value, interobserver agreement, and reading time. Contrast-to-noise ratio lesion/parenchyma and contrast-to-noise ratio white matter/gray matter were also assessed. RESULTS: SPACE with DANTE (observer one, 328; observer two, 324) revealed significantly more small (Ͻ5 mm) enhancing lesions than MPRAGE (observer one, 175; observer two, 150) (P Ͻ 0.001 for observer 1, P Յ .0001 for observer 2). Furthermore, SPACE with DANTE showed significantly higher figure of merit and sensitivity and shorter reading time than MPRAGE for both observers. The mean contrast-to-noise ratio lesion/parenchyma of SPACE with DANTE (52.3 Ϯ 43.1) was significantly higher than that of MPRAGE (17.5 Ϯ 19.3) (P Յ .0001), but the mean contrast-to-noise ratio white matter/gray matter of SPACE with DANTE (Ϫ0.65 Ϯ 1.39) was significantly lower than that of MPRAGE (3.08 Ϯ 1.39) (P Յ .0001). CONCLUSIONS: Compared with MPRAGE, SPACE with DANTE significantly improves the detection of brain metastases. ABBREVIATIONS: CE ϭ contrast-enhanced; CNR ϭ contrast-to-noise ratio; DANTE ϭ delay alternating with nutation for tailored excitation; FOM ϭ figure of merit; JAFROC ϭ jackknife free-response receiver operating characteristic; SPACE ϭ sampling perfection with application-optimized contrasts by using different flip angle evolution
BACKGROUND AND PURPOSE: Carotid-cavernous fistulas are abnormal vascular shunts that can cause various neurologic or orbital symptoms. The purpose of this retrospective study was to evaluate the diagnostic performance of thin-section MR imaging for carotid cavernous fistula in patients with clinically suspected carotid cavernous fistula, and to identify possible imaging predictors of carotid cavernous fistula. MATERIALS AND METHODS:A total of 98 patients who were clinically suspected of having carotid cavernous fistula (according to their symptoms and physical examinations) between January 2006 and September 2018 were included in this study. The patients underwent pretreatment thin-section MR imaging and DSA. Thin-section MR imaging consisted of 2D coronal T1-and T2WI with 3mm thickness and 3D contrast-enhanced T1WI with 0.6 mm thickness. The diagnostic performance of thin-section MR imaging for carotid cavernous fistula was evaluated with the reference standard of DSA. Univariate logistic regression analysis was performed to determine possible imaging predictors of carotid cavernous fistula.RESULTS: Among the 98 patients, DSA confirmed 38 as having carotid cavernous fistula. The overall accuracy, sensitivity, and specificity of thin-section MR imaging were 88.8%, 97.4%, and 83.3%, respectively. Possible imaging predictors on thin-section MR imaging included abnormal contour of the cavernous sinus (OR: 21.7), internal signal void of the cavernous sinus (OR: 15.3), prominent venous drainage flow (OR: 54.0), and orbital/periorbital soft tissue swelling (OR: 40.4).CONCLUSIONS: Thin-section MR imaging provides high diagnostic performance and possible imaging predictors of carotid cavernous fistula in patients with clinically suspected carotid cavernous fistula. Thin-section MR imaging protocols could help decide appropriate management plans for patients with clinically suspected carotid cavernous fistula.
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