1
|
Goebell E, Paustenbach S, Vaeterlein O,
Ding XQ, Heese O, Fiehler J, Kucinski T, Hagel C, Westphal M and
Zeumer H: Low-grade and anaplastic gliomas: Differences in
architecture evaluated with diffusion-tensor MR imaging. Radiology.
239:217–222. 2006. View Article : Google Scholar : PubMed/NCBI
|
2
|
Lee EJ, Lee SK, Agid R, Bae JM, Keller A
and Terbrugge K: Preoperative grading of presumptive low-grade
astrocytomas on MR imaging: Diagnostic value of minimum apparent
diffusion coefficient. AJNR Am J Neuroradiol. 29:1872–1877. 2008.
View Article : Google Scholar : PubMed/NCBI
|
3
|
Lee HY, Na DG, Song IC, Lee DH, Seo HS,
Kim JH and Chang KH: Diffusion-tensor imaging for glioma grading at
3-T magnetic resonance imaging: Analysis of fractional anisotropy
and mean diffusivity. J Comput Assist Tomogr. 32:298–303. 2008.
View Article : Google Scholar : PubMed/NCBI
|
4
|
Higano S, Yun X, Kumabe T, Watanabe M,
Mugikura S, Umetsu A, Sato A, Yamada T and Takahashi S: Malignant
astrocytic tumors: Clinical importance of apparent diffusion
coefficient in prediction of grade and prognosis. Radiology.
241:839–846. 2006. View Article : Google Scholar : PubMed/NCBI
|
5
|
Van Laere K, Ceyssens S, Van Calenbergh F,
de Groot T, Menten J, Flamen P, Bormans G and Mortelmans L: Direct
comparison of 18F-FDG and 11C-methionine PET in suspected
recurrence of glioma: Sensitivity, inter-observer variability and
prognostic value. Eur J Nucl Med Mol Imaging. 32:39–51. 2005.
View Article : Google Scholar : PubMed/NCBI
|
6
|
Stadlbauer A, Ganslandt O, Buslei R,
Hammen T, Gruber S, Moser E, Buchfelder M, Salomonowitz E and
Nimsky C: Gliomas: Histopathologic evaluation of changes in
directionality and magnitude of water diffusion at diffusion-tensor
MR imaging. Radiology. 240:803–810. 2006. View Article : Google Scholar : PubMed/NCBI
|
7
|
Kinoshita M, Hashimoto N, Goto T, Kagawa
N, Kishima H, Izumoto S, Tanaka H, Fujita N and Yoshimine T:
Fractional anisotropy and tumor cell density of the tumor core show
positive correlation in diffusion tensor magnetic resonance imaging
of malignant brain tumors. Neuro Image. 43:29–35. 2008.PubMed/NCBI
|
8
|
Liu X, Tian W, Kolar B, Yeaney GA, Qiu X,
Johnson MD and Ekholm S: MR diffusion tensor and perfusion-weighted
imaging in preoperative grading of supratentorial nonenhancing
gliomas. Neuro Oncol. 13:447–455. 2011. View Article : Google Scholar : PubMed/NCBI
|
9
|
Singhal T, Narayanan TK, Jacobs MP, Bal C
and Mantil JC: 11C-methionine PET for grading and prognostication
in gliomas: A comparison study with 18F-FDG PET and contrast
enhancement on MRI. J Nucl Med. 53:1709–1715. 2012. View Article : Google Scholar : PubMed/NCBI
|
10
|
Okita Y, Nonaka M, Shofuda T, Kanematsu D,
Yoshioka E, Kodama Y, Mano M, Nakajima S and Kanemura Y:
(11)C-methinine uptake correlates with MGMT promoter methylation in
nonenhancing gliomas. Clin Neurol Neurosurg. 125:212–216. 2014.
View Article : Google Scholar : PubMed/NCBI
|
11
|
Berger G, Maziere M, Knipper R, Prenant C
and Comar D: Automated synthesis of 11C-labelled
radiopharmaceuticals: Imipramine, chlorpromazine, nicotine and
methionine. Int J Appl Radiat Isot. 30:393–399. 1979. View Article : Google Scholar : PubMed/NCBI
|
12
|
Yoshiura T, Mihara F, Tanaka A, Ogomori K,
Ohyagi Y, Taniwaki T, Yamada T, Yamasaki T, Ichimiya A, Kinukawa N,
et al: High b value diffusion-weighted imaging is more sensitive to
white matter degeneration in Alzheimer's disease. NeuroImage.
20:413–419. 2003. View Article : Google Scholar : PubMed/NCBI
|
13
|
Di Chiro G, DeLaPaz RL, Brooks RA,
Sokoloff L, Kornblith PL, Smith BH, Patronas NJ, Kufta CV, Kessler
RM, Johnston GS, et al: Glucose utilization of cerebral gliomas
measured by [18F] fluorodeoxyglucose and positron emission
tomography. Neurology. 32:1323–1329. 1982. View Article : Google Scholar : PubMed/NCBI
|
14
|
Murakami R, Hirai T, Sugahara T, Fukuoka
H, Toya R, Nishimura S, Kitajima M, Okuda T, Nakamura H, Oya N, et
al: Grading astrocytic tumors by using apparent diffusion
coefficient parameters: Superiority of a one- vs. two-parameter
pilot method. Radiology. 251:838–845. 2009. View Article : Google Scholar : PubMed/NCBI
|
15
|
Fan GG, Deng QL, Wu ZH and Guo QY:
Usefulness of diffusion/perfusion-weighted MRI in patients with
non-enhancing supratentorial brain gliomas: A valuable tool to
predict tumour grading? Br J Radiol. 79:652–658. 2006. View Article : Google Scholar : PubMed/NCBI
|
16
|
Kinoshita M, Arita H, Okita Y, Kagawa N,
Kishima H, Hashimoto N, Tanaka H, Watanabe Y, Shimosegawa E,
Hatazawa J, et al: Comparison of diffusion tensor imaging and
(11)C-methionine positron emission tomography for reliable
prediction of tumor cell density in gliomas. J Neurosurg.
125:1136–1142. 2016. View Article : Google Scholar : PubMed/NCBI
|
17
|
Beppu T, Inoue T, Shibata Y, Yamada N,
Kurose A, Ogasawara K, Ogawa A and Kabasawa H: Fractional
anisotropy value by diffusion tensor magnetic resonance imaging as
a predictor of cell density and proliferation activity of
glioblastomas. Surg Neurol. 63:D56–D61. 2005. View Article : Google Scholar
|
18
|
Ishiwata K, Kubota K, Murakami M, Kubota R
and Senda M: A comparative study on protein incorporation of
L-[methyl-3H]methionine, L-[1-14C]leucine and
L-2-[18F]fluorotyrosine in tumor bearing mice. Nucl Med Biol.
20:895–899. 1993. View Article : Google Scholar : PubMed/NCBI
|
19
|
Jager PL, Vaalburg W, Pruim J, de Vries
EG, Langen KJ and Piers DA: Radiolabeled amino acids: Basic aspects
and clinical applications in oncology. J Nucl Med. 42:432–445.
2001.PubMed/NCBI
|
20
|
Stern PH, Wallace CD and Hoffman RM:
Altered methionine metabolism occurs in all members of a set of
diverse human tumor cell lines. J Cell Physiol. 119:29–34. 1984.
View Article : Google Scholar : PubMed/NCBI
|
21
|
Herholz K, Hölzer T, Bauer B, Schröder R,
Voges J, Ernestus RI, Mendoza G, Weber-Luxenburger G, Löttgen J,
Thiel A, et al: 11C-methionine PET for differential diagnosis of
low-grade gliomas. Neurology. 50:1316–1322. 1998. View Article : Google Scholar : PubMed/NCBI
|
22
|
Pirotte B, Goldman S, Dewitte O, Massager
N, Wikler D, Lefranc F, Ben Taib NO, Rorive S, David P, Brotchi J
and Levivier M: Integrated positron emission tomography and
magnetic resonance imaging-guided resection of brain tumors: A
report of 103 consecutive procedures. J Neurosurg. 104:238–253.
2006. View Article : Google Scholar : PubMed/NCBI
|
23
|
Galanis E, Buckner JC, Maurer MJ, Sykora
R, Castillo R, Ballman KV and Erickson BJ: Validation of
neuroradiologic response assessment in gliomas: Measurement by
RECIST, two-dimensional, computer-assisted tumor area and
computer-assisted tumor volume methods. Neuro Oncol. 8:156–165.
2006. View Article : Google Scholar : PubMed/NCBI
|
24
|
Gállego Pérez-Larraya J, Lahutte M,
Petrirena G, Reyes-Botero G, González-Aguilar A, Houillier C,
Guillevin R, Sanson M, Hoang-Xuan K and Delattre JY: Response
assessment in recurrent glioblastoma treated with
irinotecan-bevacizumab: Comparative analysis of the Macdonald,
RECIST, RANO and RECIST + F criteria. Neuro Oncol. 14:667–673.
2012. View Article : Google Scholar : PubMed/NCBI
|
25
|
Shah GD, Kesari S, Xu R, Batchelor TT,
O'Neill AM, Hochberg FH, Levy B, Bradshaw J and Wen PY: Comparison
of linear and volumetric criteria in assessing tumor response in
adult high-grade gliomas. Neuro Oncol. 8:38–46. 2006. View Article : Google Scholar : PubMed/NCBI
|