pág. 962
6. Kalpathy-Cramer J, Gerstner ER, Emblem KE, Andronesi OC, Rosen B. Advanced magnetic
resonance imaging of the physical processes in human glioblastoma. Cancer Res. 2014;74(17):4622–
37. DOI: 10.1158/0008-5472.can-14-038
7. Emblem KE, Zoellner FG, Tennoe B, Nedregaard B, Nome T, Due-Tonnessen P, et al. Predictive
modeling in glioma grading from MR perfusion images using support vector machines. Magn Reson
Med. 2008;60(4):945–52. DOI: 10.1002/mrm.21736
8. Sinning M. CLASIFICACIÓN DE LOS TUMORES CEREBRALES. Rev médica Clín Las Condes
[Internet]. 2017;28(3):339–42. Disponible en: http://dx.doi.org/10.1016/j.rmclc.2017.05.002
9. Torp SH, Solheim O, Skjulsvik AJ. The WHO 2021 Classification of Central Nervous System
tumours: a practical update on what neurosurgeons need to know—a minireview. Acta Neurochir
(Wien) [Internet]. 2022;164(9):2453–64. Disponible en: http://dx.doi.org/10.1007/s00701-022-
05301-
10. Brat DJ, Aldape K, Colman H, Holland EC, Louis DN, Jenkins RB, et al. cIMPACT-NOW update
3: recommended diagnostic criteria for “Diffuse astrocytic glioma, IDH-wildtype, with molecular
features of glioblastoma, WHO grade IV”. Acta Neuropathol [Internet]. 2018;136(5):805–10.
Disponible en: http://dx.doi.org/10.1007/s00401-018-1913-0
11. Kaufmann TJ, Smits M, Boxerman J, Huang R, Barboriak DP, Weller M, et al. Consensus
recommendations for a standardized brain tumor imaging protocol for clinical trials in brain
metastases. Neuro Oncol [Internet]. 2020;22(6):757–72. Disponible en:
http://dx.doi.org/10.1093/neuonc/noaa030
12. Won SE, Suh CH, Kim S, Park HJ, Kim KW. Summary of key points of the response assessment in
neuro-oncology (RANO) 2.0. Korean J Radiol [Internet]. 2024;25(5):407. Disponible en:
http://dx.doi.org/10.3348/kjr.2024.0016
13. Fan H, Luo Y, Gu F, Tian B, Xiong Y, Wu G, et al. Artificial intelligence-based MRI radiomics and
radiogenomics in glioma. Cancer Imaging [Internet]. 2024;24(1). Disponible en:
http://dx.doi.org/10.1186/s40644-024-00682-y
14. Kickingereder P, Isensee F, Tursunova I, Petersen J, Neuberger U, Bonekamp D, et al. Automated
quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: