Pre-operative Evaluation of Consistency in Intra-axial Brain Tumor with Diffusion-weighted Images (DWI) and Conventional MR Images
![]() |
Oh, Moon-Sik
(Department of Radiology, Collage of Medicine, The Catholic University of Korea)
Ahn, Kook-Jin (Department of Radiology, Collage of Medicine, The Catholic University of Korea) Choi, Hyun-Seok (Department of Radiology, Collage of Medicine, The Catholic University of Korea) Jung, So-Lyung (Department of Radiology, Collage of Medicine, The Catholic University of Korea) Lee, Yoon-Joo (Department of Radiology, Collage of Medicine, The Catholic University of Korea) Kim, Bum-Soo (Department of Radiology, Collage of Medicine, The Catholic University of Korea) |
1 | Pipe JG, Farthing VG, Forbes KP. Multishot diffusion-weighted FSE using PROPELLER MRI. Magn Reson Med 2002;47:42-52 DOI ScienceOn |
2 | Maiuri F, Iaconetta G, de Divitiis O, Cirillo S, Di Salle F, De Caro ML. Intracranial meningiomas: correlations between MR imaging and histology. Eur J Radiol 1999;31:69-75 DOI ScienceOn |
3 | Yrjana SK, Tuominen H, Karttunen A, Lahdesluoma N, Heikkinen E, Koivukangas J. Low-field MR imaging of meningiomas including dynamic contrast enhancement study: evaluation of surgical and histopathologic characteristics. AJNR Am J Neuroradiol 2006;27:2128-2134 |
4 | Kashimura H, Inoue T, Ogasawara K, et al. Prediction of meningioma consistency using fractional anisotropy value measured by magnetic resonance imaging. J Neurosurg 2007;107:784-787 DOI |
5 | Pierallini A, Caramia F, Falcone C, et al. Pituitary macroadenomas: preoperative evaluation of consistency with diffusionweighted MR imaging--initial experience. Radiology 2006;239:223-231 DOI ScienceOn |
6 | Suzuki C, Maeda M, Hori K, et al. Apparent diffusion coefficient of pituitary macroadenoma evaluated with line-scan diffusion-weighted imaging. J Neuroradiol 2007;34:228-235 DOI ScienceOn |
7 | Mahmoud OM, Tominaga A, Amatya VJ, et al. Role of PROPELLER diffusion-weighted imaging and apparent diffusion coefficient in the evaluation of pituitary adenomas. Eur J Radiol 2010.(Epub ahead of print) |
8 | Kono K, Inoue Y, Nakayama K, et al. The role of diffusionweighted imaging in patients with brain tumors. AJNR Am J Neuroradiol 2001;22:1081-1088 |
9 | Guo AC, Cummings TJ, Dash RC, Provenzale JM. Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics. Radiology 2002;224:177-183 DOI ScienceOn |
10 | Gudbjartsson H, Maier SE, Mulkern RV, Morocz IA, Patz S, Jolesz FA. Line scan diffusion imaging. Magn Reson Med 1996;36:509-519 DOI ScienceOn |
11 | Naganuma H, Satoh E, Nukui H. Technical considerations of transsphenoidal removal of fibrous pituitary adenomas and evaluation of collagen content and subtype in the adenomas. Neurol Med Chir (Tokyo) 2002;42:202-212; discussion 213 DOI |
12 | Bahuleyan B, Raghuram L, Rajshekhar V, Chacko AG. To assess the ability of MRI to predict consistency of pituitary macroadenomas. Br J Neurosurg 2006;20:324-326 DOI ScienceOn |
13 | Chakrabortty S, Oi S, Yamaguchi M, Tamaki N, Matsumoto S. Growth hormone-producing pituitary adenomas: MR characteristics and pre- and postoperative evaluation. Neurol Med Chir (Tokyo) 1993;33:81-85 DOI ScienceOn |
14 | Hagiwara A, Inoue Y, Wakasa K, Haba T, Tashiro T, Miyamoto T. Comparison of growth hormone-producing and non-growth hormone-producing pituitary adenomas: imaging characteristics and pathologic correlation. Radiology 2003;228:533-538 DOI ScienceOn |
15 | Snow RB, Johnson CE, Morgello S, Lavyne MH, Patterson RH, Jr. Is magnetic resonance imaging useful in guiding the operative approach to large pituitary tumors? Neurosurgery 1990;26:801-803 DOI |
16 | Yamaguchi N, Kawase T, Sagoh M, Ohira T, Shiga H, Toya S. Prediction of consistency of meningiomas with preoperative magnetic resonance imaging. Surg Neurol 1997;48:579-583 DOI ScienceOn |
17 | Suzuki Y, Sugimoto T, Shibuya M, Sugita K, Patel SJ. Meningiomas: correlation between MRI characteristics and operative findings including consistency. Acta Neurochir (Wien) 1994;129:39-46 DOI ScienceOn |
18 | Iuchi T, Saeki N, Tanaka M, Sunami K, Yamaura A. MRI prediction of fibrous pituitary adenomas. Acta Neurochir (Wien) 1998;140:779-786 DOI ScienceOn |
![]() |