BACKGROUND AND PURPOSE: No practical tool has been reported in the literature to evaluate the quality of cerebral TR-3D-CE-MRA techniques. Our study assessed a large list of parameters used to propose a quality-evaluation scheme for TR-3D-CE-MRA. MATERIALS AND METHODS: A large list of visual and quantitative parameters used to study the quality of images was collected from the literature and evaluated in 19 healthy patients and 11 patients with arteriovenous shunts who had undergone both CENTRA keyhole TR-3D-CE-MRA at 3T and CCA. Several observers evaluated the visual parameters, such as the diagnostic confidence index, artifacts, maximum vascular signal intensity, arterial-to-venous separation, and visibility of 17 arteries and 7 veins; and quantitative parameters, such as maximum arterial SI, arteriovenous transit time, arteriovenous contrast curve, and ADW. A statistical analysis was used to determine interobserver reproducibility of the visual parameters, to calculate the sensitivity of TR-3D-CE-MRA for detecting each vessel (with CCA as standard of reference), and to compare the results of the visual and quantitative evaluations. RESULTS: Diagnostic confidence index, artifacts, arterial-to-venous separation, and 4 vessels-the PICA, ophthalmic and occipital arteries, and the ISS-demonstrated high reproducibility and sensitivity. The ADW was the most reliable dynamic quantitative parameter and was correlated with arterial-to-venous separation. CONCLUSIONS: The image quality of TR-3D-CE-MRA can be effectively evaluated with a scheme of 1 quantitative and 7 visual parameters.
BACKGROUND AND PURPOSE: No practical tool has been reported in the literature to evaluate the quality of cerebral TR-3D-CE-MRA techniques. Our study assessed a large list of parameters used to propose a quality-evaluation scheme for TR-3D-CE-MRA. MATERIALS AND METHODS: A large list of visual and quantitative parameters used to study the quality of images was collected from the literature and evaluated in 19 healthy patients and 11 patients with arteriovenous shunts who had undergone both CENTRA keyhole TR-3D-CE-MRA at 3T and CCA. Several observers evaluated the visual parameters, such as the diagnostic confidence index, artifacts, maximum vascular signal intensity, arterial-to-venous separation, and visibility of 17 arteries and 7 veins; and quantitative parameters, such as maximum arterial SI, arteriovenous transit time, arteriovenous contrast curve, and ADW. A statistical analysis was used to determine interobserver reproducibility of the visual parameters, to calculate the sensitivity of TR-3D-CE-MRA for detecting each vessel (with CCA as standard of reference), and to compare the results of the visual and quantitative evaluations. RESULTS: Diagnostic confidence index, artifacts, arterial-to-venous separation, and 4 vessels-the PICA, ophthalmic and occipital arteries, and the ISS-demonstrated high reproducibility and sensitivity. The ADW was the most reliable dynamic quantitative parameter and was correlated with arterial-to-venous separation. CONCLUSIONS: The image quality of TR-3D-CE-MRA can be effectively evaluated with a scheme of 1 quantitative and 7 visual parameters.
Authors: M Sakamoto; T Taoka; S Iwasaki; A Fukusumi; H Nakagawa; S Hirohashi; K Takayama; T Wada; K Kichikawa; H Uchida; H Ohishi; K Murata; J Okamoto Journal: Magn Reson Imaging Date: 2001-11 Impact factor: 2.546
Authors: Elke R Gizewski; Mark E Ladd; Andrena Paul; Isabel Wanke; Sophie Göricke; Michael Forsting Journal: AJNR Am J Neuroradiol Date: 2005-01 Impact factor: 3.825
Authors: Janice J Yang; Michael D Hill; William F Morrish; Mark E Hudon; Philip A Barber; Andrew M Demchuk; Robert J Sevick; Richard Frayne Journal: AJNR Am J Neuroradiol Date: 2002-04 Impact factor: 3.825
Authors: C Wu; S A Ansari; A R Honarmand; P Vakil; M C Hurley; B R Bendok; J Carr; T J Carroll; M Markl Journal: AJNR Am J Neuroradiol Date: 2015-02-26 Impact factor: 3.825
Authors: Yijing Wu; Kevin Johnson; Steven R Kecskemeti; Kang Wang; Oliver Wieben; Beverly L Aagaard-Kienitz; Howard Rowley; Frank R Korosec; Charles Mistretta; Patrick Turski Journal: Magn Reson Med Date: 2011-02-17 Impact factor: 4.668
Authors: Tilman Schubert; Yijing Wu; Kevin M Johnson; Oliver Wieben; Jane Maksimovic; Charles Mistretta; Patrick Turski Journal: Invest Radiol Date: 2016-11 Impact factor: 6.016