La cuantificación de parámetros del volumen de la región tumoral con VS,
FS y Ktrans es útil para gradar los astrocitomas.
La heterogeneidad,
representada por la desviación típica del FS,
es el parámetro con mayor fiabilidad diagnóstica para separar bajo y alto grado.
BIBLIOGRAFÍA:
[1] Law M,
Yang S,
Wang H,
Babb JS,
Johnson G,
Cha S,
et al.
Glioma grading: sensitivity,
specificity,
and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging.
Am J Neuroradiol.
2003; 24:1989-98.
[2] Ostergaard L,
Weisskoff RM,
Chesler DA,
Gyldensted C,
Rosen BR.
High resolution measurement of cerebral blood flow using intravascular tracer bolus passages.
Part I: mathematical approach and statistical analysis.
Magn Reson Med.
1996; 36:715-25.
[3] Ostergaard L,
Sorensen AG,
Kwong KK,
Weisskoff RM,
Gyldensted C,
Rosen BR.
High resolution measurement of cerebral blood flow using intravascular tracer bolus passages.
Part II: experimental comparison and preliminary results.
Magn Reson Med.
1996; 36:726-36.
[4] Tofts PS,
Kermode AG.
Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging.
1.
Fundamental concepts.
Magn Reson Med.
1991; 17:357-67.
[5] Patankar TF,
Haroon HA,
Mills SJ,
Balériaux D,
Buckley DL,
Parker GJ,
et al.
Is volume transfer coefficient K(trans) related to histologic grade in human gliomas? Am J Neuroradiol.
2005; 26:2455-65.
[6] Law M,
Young R,
Babb J,
Pollack E,
Johnson G.
Histogram analysis versus region of interest analysis of dynamic susceptibility contrast perfusion MR imaging data in the grading of cerebral gliomas.
Am J Neuroradiol.
2007; 28:761-66.
[7] Revert Ventura AJ,
Sanz-Requena R,
Martí-Bonmatí L,
Jornet J,
Piquer J,
Cremades A,
et al.
Análisis nosológico con parámetros de perfusión tisular de RM obtenidos mediante los modelos monocompartimental y farmacocinético en los glioblastomas cerebrales Radiologia.
2010; 52:432-41.