375
REFERENCIAS BIBLIOGRÁFICAS
1. Louis D., Perry A., Reifenbergger G., et al. The 2016 WHO
classification of tumours of the central nervous system: a
summary. Acta Neuropathologica, 2016; 131: 803–820.
http://doi.org/10.1007/s00401-016-1545-12. Wen P., Macdonald D, Reardon D. et al. Updated Response
Assessment Criteria for High-Grade Gliomas: Response
Assessment in Neuro-Oncology Working Group. Journal of
Clinical Oncology 2010; 28(11): 1963–1972. http://doi.
org/10.1200/JCO.2009.26.3541
3. Jain R., Scarpace L., Ellika S., Torcuator R., Schultz L. R.,
Hearshen
D.etal. Imaging response criteria for recurrent
gliomas treated with bevacizumab: Role of diffusion weighted
imaging as an imaging biomarker. Journal of Neuro-Oncology
2010, 96(3), 423–431.
http://doi.org/10.1007/s11060-009-9981-6
4. Sorensen A. A “vascular normalization index” as potential
mechanistic biomarker to predict survival after a single dose
of cediranib in recurrent glioblastoma patients. Cancer Res
2009; 69: 5296–5300.
http://doi.org/10.1158/0008-5472.CAN-09-0814
5. White N., McDonald C., Farid N., Kuperman J., Kesari S., Dale, A..
Improved Conspicuity and Delineation of High-Grade Primary
and Metastatic Brain Tumors Using “Restriction Spectrum
Imaging”: Quantitative Comparison with High B-Value DWI
and ADC. American Journal of Neuroradiology 2013; 34(5):
958–964.
http://doi.org/10.3174/ajnr.A33276. McDonald C., White N., Farid N., et al. Recovery of White
Matter Tracts in Regions of Peritumoral FLAIR Hyperintensity
with Use of Restriction Spectrum Imaging. American Journal
of Neuroradiology 2013; 34(6): 1157–1163. http://doi.
org/10.3174/ajnr.A3372
7. Majós C., AguileraC., Alonso J. ProtonMR spectroscopy improves
discrimination between tumor and pseudotumoral lesion in
solid brain masses. AJNR. American Journal of Neuroradiology
(2009); 30(3): 544–551.
http://doi.org/10.3174/ajnr.A13928. Cha S., Lupo J., Chen M. Differentiation of glioblastoma
multiforme and single brain metastasis by peak height and
percentage of signal intensity recovery derived from dynamic
susceptibility-weighted contrast-enhanced perfusion MR
imaging. AJNR. American Journal of Neuroradiology 2007;
28(6): 1078–1084.
http://doi.org/10.3174/ajnr.A04849. Server A. Proton magnetic resonance spectroscopy in the
distinction of high grade cerebral gliomas from single
metastatic brain tumours. Acta Radiol 2010; 51: 316–325.
http://doi.org/10.3109/0284185090348290110. Blasel S., Jurcoane A., Franz K., Morawe G., Pellikan S.,
Hattingen E.. Elevated peritumoural rCBV values as a mean
to differentiate metastases from high-grade gliomas. Acta
Neurochirurgica 2010; 152(11): 1893–1899. http://doi.
org/10.1007/s00701-010-0774-7
11. Arvinda H.. Glioma grading: sensitivity, specificity, positive and
negative predictive values of diffusion and perfusion imaging.
J. Neurooncol. 2009; 94: 87–96.
http://doi.org/10.1007/s11060-009-9807-6
12. LawM., Yang S., Wang H. Glioma grading: sensitivity, specificity,
and predictive values of perfusion MR imaging and proton
MR spectroscopic imaging compared with conventional MR
imaging. AJNR. American Journal of Neuroradiology 2003,
24(10), 1989–1998.
13. Crisi G., Orsingher L., Filice S.. Lipid and macromolecules
quantitation in differentiating glioblastoma from solitary
metastasis: a short-echo time single-voxel magnetic
resonance spectroscopy study at 3 T. Journal of Computer
Assisted Tomography 2013; 37(2): 265–271. http://doi.
org/10.1097/RCT.0b013e318282d2ba
14. Kang Y. Gliomas: histogram analysis of apparent diffusion
coefficient maps with standard- or high-b-value diffusion
weighted MR imaging correlation with tumour grade.
Radiology 2011; 261: 882–890.
http://doi.org/10.1148/radiol.11110686
15. Jolapara, M.. Can diffusion tensor metrics help in
preoperatively grading of diffusely infiltrating astrocytomas?
A retrospective study of 36 cases. Neuroradiology 2011; 53:
63–68.
http://doi.org/10.1007/s00234-010-0761-y16. Di Costanzo A., Scarabino T., Trojsi F. Multiparametric 3T MR
approach to the assessment of cerebral gliomas: tumor extent
and malignancy. Neuroradiology 2006; 48(9): 622–631.
http://doi.org/10.1007/s00234-006-0102-317. Castillo M., Smith J., Kwock, L. Correlation of myo-inositol
levels and grading of cerebral astrocytomas. AJNR. American
Journal of Neuroradiology 2000; 21(9): 1645–1649.
18. Price, S. Improved delineation of glioma margins and regions
of infiltration with the use of diffusion tensor imaging: an
image-guided biopsy study. Am. J. Neuroradiol 2006; 27:
1969–1974.
19 Muragaki Y., Chernov M., Maruyama T., Takakura, K.. Low-grade
glioma on stereotactic biopsy: how often is the diagnosis
accurate? Minimally Invasive Neurosurgery: MIN, 2008;
51(5): 275–279.
http://doi.org/10.1055/s-0028-108232220. Barajas R., Hodgson J., Chang J. Glioblastoma multiforme
regional genetic and cellular expression patterns: influence
on anatomic and physiologic MR imaging. Radiology 2010;
254(2): 564–576.
http://doi.org/10.1148/radiol.0909066321. Murakami R., Hirai T., Sugahara T. Grading astrocytic
tumors by using apparent diffusion coefficient parameters:
superiority of a one- versus two-parameter pilot method.
Los autores declaran no tener conflictos de interés, en relación a este artículo.
[EVALUACIÓN DE GLIOMAS POR TÉCNICAS AVANZADAS DE RESONANCIA MAGNÉTICA - Dra. Cecilia Okuma MD, PhD y col.]