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Featured researches published by Kazuo Awai.


American Journal of Neuroradiology | 2008

Prognostic Value of Perfusion MR Imaging of High-Grade Astrocytomas: Long-Term Follow-Up Study

Toshinori Hirai; Ryuji Murakami; Hideo Nakamura; Mika Kitajima; Hirofumi Fukuoka; Ako Sasao; Masuma Akter; Yoshiko Hayashida; R. Toya; Natsuo Oya; Kazuo Awai; K. Iyama; Jun Ichi Kuratsu; Yasuyuki Yamashita

BACKGROUND AND PURPOSE: Although the prognostic value of perfusion MR imaging in various gliomas has been investigated, that in high-grade astrocytomas alone has not been fully evaluated. The purpose of this study was to evaluate retrospectively whether the tumor maximum relative cerebral blood volume (rCBV) on pretreatment perfusion MR imaging is of prognostic value in patients with high-grade astrocytoma. MATERIALS AND METHODS: Between January 1999 and December 2002, 49 patients (30 men, 19 women; age range, 23–76 years) with supratentorial high-grade astrocytoma underwent MR imaging before the inception of treatment. The patient age, sex, symptom duration, neurologic function, mental status, Karnofsky Performance Scale, extent of surgery, histopathologic diagnosis, tumor component enhancement, and maximum rCBV were assessed to identify factors affecting survival. Kaplan-Meier survival curves, the logrank test, and the multivariate Cox proportional hazards model were used to evaluate prognostic factors. RESULTS: The maximum rCBV was significantly higher in the 31 patients with glioblastoma multiforme than in the 18 with anaplastic astrocytoma (P < .03). The 2-year overall survival rate was 67% for 27 patients with a low (≤2.3) and 9% for 22 patients with a high (>2.3) maximum rCBV value (P < .001). Independent important prognostic factors were the histologic diagnosis (hazard ratio = 9.707; 95% confidence interval (CI), 3.163–29.788), maximum rCBV (4.739; 95% CI, 1.950–11.518), extent of surgery (2.692; 95% CI, 1.196–6.061), and sex (2.632; 95% CI, 1.153–6.010). CONCLUSION: The maximum rCBV at pretreatment perfusion MR imaging is a useful clinical prognostic biomarker for survival in patients with high-grade astrocytoma.


American Journal of Neuroradiology | 2010

Evaluation of Dural Arteriovenous Fistulas with 4D Contrast-Enhanced MR Angiography at 3T

Shinichiro Nishimura; Toshinori Hirai; Ako Sasao; Mika Kitajima; Motohiro Morioka; Y. Kai; Y. Omori; Tomoko Okuda; Ryuji Murakami; Hirofumi Fukuoka; Kazuo Awai; Jun Ichi Kuratsu; Yasuyuki Yamashita

BACKGROUND AND PURPOSE: Four-dimensional contrast-enhanced MR angiography (4D-CE-MRA) at 3T may replace digital subtraction angiography (DSA) for certain diagnostic purposes in patients with intracranial dural arteriovenous fistula (DAVF). The aim of this study was to test the hypothesis that 4D-CE-MRA at 3T enables the same characterization of intracranial DAVFs as DSA. MATERIALS AND METHODS: The study population consisted of 18 consecutive patients with intracranial DAVFs (11 women, 7 men; age range, 35–82 years; mean age, 64.8 years). They underwent 4D-CE-MRA at 3T and DSA. The 4D-CE-MRA series combined randomly segmented central k-space ordering, keyhole imaging, sensitivity encoding, and half-Fourier imaging. We obtained 30 dynamic scans every 1.9 seconds with a spatial resolution of 1 × 1 × 1.5 mm. Two independent readers reviewed the 4D-CE-MRA images for main arterial feeders, fistula site, and venous drainage. Interobserver and intermodality agreement was assessed by κ statistics. RESULTS: At DSA, 8 fistulas were located at the transverse sigmoid sinus; 8, at the cavernous sinus; and 2, at the sinus adjacent to the foramen magnum. Interobserver agreement was fair for the main arterial feeders (κ = 0.59), excellent for the fistula site (κ = 0.91), and good for venous drainage (κ = 0.86). Intermodality agreement was moderate for the main arterial feeders (κ = 0.68) and excellent for the fistula site (κ = 1.0) and venous drainage (κ = 1.0). CONCLUSIONS: The agreement between 4D-CE-MRA and DSA findings was good to excellent with respect to the fistula site and venous drainage.


American Journal of Neuroradiology | 2008

Differentiation between paraclinoid and cavernous sinus aneurysms with contrast-enhanced 3D constructive interference in steady-state MR imaging

Toshinori Hirai; Yutaka Kai; Motohiro Morioka; Shigetoshi Yano; Mika Kitajima; Hirofumi Fukuoka; Ako Sasao; Ryuji Murakami; Yoshiharu Nakayama; Kazuo Awai; R. Toya; Masuma Akter; Yukunori Korogi; Jun Ichi Kuratsu; Yasuyuki Yamashita

BACKGROUND AND PURPOSE: Differentiation between paraclinoid and cavernous sinus aneurysms of the internal carotid artery (ICA) is critical when considering treatment options. The purpose of this study was to determine whether contrast-enhanced (CE) 3D constructive interference in steady state (CISS) MR imaging is useful to differentiate between paraclinoid and cavernous sinus aneurysms. MATERIALS AND METHODS: This study included 11 aneurysms in 10 consecutive female patients, ranging from 52 to 66 years of age. All aneurysms were adjacent to the anterior clinoid process. After conventional and CE 3D-CISS imaging on a 1.5T MR imaging unit, all patients underwent surgery, and the relationship between the aneurysms and the dura was confirmed. Two neuroradiologists evaluated the location of the aneurysms on CE 3D-CISS images and classified them as intradural, partially intradural, and extradural aneurysms. Operative findings were used as a reference standard. To understand the imaging characteristics, we assessed the boundary and signal intensity of the cavernous sinus, CSF, and carotid artery on the side contralateral to the lesion. RESULTS: Operative findings disclosed that 5 aneurysms were intradural and 6 were extradural. All except 2 were accurately assessed with CE 3D-CISS imaging. One intradural aneurysm adjacent to a large cavernous aneurysm and 1 cavernous giant aneurysm were assessed as partially intradural. On CE 3D-CISS images, the boundary between the CSF, cavernous sinus, and carotid artery was identified by high signal-intensity contrast in all cases. CONCLUSION: CE 3D-CISS MR imaging is useful for the differentiation between paraclinoid and cavernous sinus aneurysms.


American Journal of Neuroradiology | 2010

Assessment of Vascular Supply of Hypervascular Extra-Axial Brain Tumors with 3T MR Regional Perfusion Imaging

Ako Sasao; Toshinori Hirai; Shinichiro Nishimura; Hirofumi Fukuoka; Ryuji Murakami; Mika Kitajima; Tomoko Okuda; Masuma Akter; Motohiro Morioka; Shigetoshi Yano; Hideo Nakamura; Keishi Makino; Jun Ichi Kuratsu; Kazuo Awai; Yasuyuki Yamashita

BACKGROUND AND PURPOSE: The vascular supply of extra-axial brain tumors provided by the external carotid artery has not been studied with RPI. The purpose of this work was to determine whether RPI assessment is feasible and provides information on the vascular supply of hypervascular extra-axial brain tumors. MATERIALS AND METHODS: Conventional ASL and RPI studies were performed at 3T in 8 consecutive patients with meningioma. On the basis of MRA results, we performed RPI by placing a selective labeling slab over the external carotid artery. Five patients underwent DSA before surgery. Two neuroradiologists independently evaluated the overall image quality, the degree of tumor perfusion, and the extent of the tumor vascular territory on conventional ASL and RPI. RESULTS: In overall quality of conventional ASL and RPI, no images interfered with interpretation. In comparisons of the vascular tumor territory identified by the conventional ASL and RPI techniques, the territories coincided in 3 cases, were partially different in 4, and completely different in 1. The interobserver agreement was very good (κ = 0.82). In 5 patients who underwent DSA, the 4 patients in whom the dominant supply was the external carotid artery were scored as coincided or partially different. The 1 patient in whom the vascular supply was from the internal carotid artery was scored as completely different. CONCLUSIONS: RPI with selective labeling of the external carotid artery is feasible and may provide information about the vascular supply of hypervascular extra-axial brain tumors.


international conference on knowledge-based and intelligent information and engineering systems | 2003

Automated Cerebral Arteries Segmentation and Diameter Measurement of Aneurysm from MR Angiograms

Masahito Aoyama; Ikuo Kawashita; Yoko Naruse; Naoki Asada; Kazuo Awai

An automated computerized scheme has been developed for cerebral arteries segmentation and diameter measurement of aneurysm from magnetic resonance (MR) angiograms. An MR angiogram was three dimensional image consisted of tomograms. In this method, cerebral arteries were segmented first automatically by region growing method. The cerebral arteries image was converted to two kinds of images, distance and thin line images for diameter measurement of aneurysm and blood vessel. The location of aneurysm was indicated by a user and the diameter was measured by a computer. This method can use quantitative analysis of aneurysm and blood vessel.


Radiology | 2004

Moderate versus High Concentration of Contrast Material for Aortic and Hepatic Enhancement and Tumor-to-Liver Contrast at Multi–Detector Row CT

Kazuo Awai; Masaaki Inoue; Yukinobu Yagyu; Manabu Watanabe; Toshiko Sano; Seiun Nin; Ryuta Koike; Yasumasa Nishimura; Yasuyuki Yamashita


European Radiology | 2003

Effect of contrast injection protocol with dose tailored to patient weight and fixed injection duration on aortic and hepatic enhancement at multidetector-row helical CT

Kazuo Awai; Shinichi Hori


American Journal of Roentgenology | 2004

Endometrial Carcinoma in Adenomyosis: Assessment of Myometrial Invasion on T2-Weighted Spin-Echo and Gadolinium-Enhanced T1-Weighted Images

Daisuke Utsunomiya; Shiho Notsute; Yoshiko Hayashida; Flora Lwakatare; Hidetaka Katabuchi; Hitoshi Okamura; Kazuo Awai; Yasuyuki Yamashita


Archive | 2012

Combination of a low tube voltage technique with the hybrid iterative reconstruction (iDose) algorithm at coronary CT angiography

Yoshinori Funama; Katsuyuki Taguchi; Daisuke Utsunomiya; Seitaro Oda; Yasuyuki Yamashita; Kazuo Awai; H. Morgan


Archive | 2009

Effect of Artificial Neural Network on Radiologists' Diagnosis Performance 1

Mika Kitajima; Toshinori Hirai; Shigehiko Katsuragawa; Tomoko Okuda; Hirofumi Fukuoka; Akira Sasao; Masuma Akter; Kazuo Awai; Yoshiharu Nakayama; Ryuji Ikeda; Yasuyuki Yamashita; Shigetoshi Yano; Jun Ichi Kuratsu; Kunio Doi

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