Aims and objectives
Conventional techniques have low specificity and are not able to differentiate between low and high-grade CNS tumors.Spectroscopic,
diffusion and perfusion techniques can increase the diagnostic specificity, allowing for up to 90% of precision in the classification of central nervous system tumors. The quantitative measurement such as relative cerebral blood flow (rCBF),
ADC and Col/NAA ratio decrease the interobserver variability. Those,
the primary objectives of the study are: To apply...
Methods and materials
Between 2008 and 2011,
134 patients in total (54 women and 80 men) were enrolled in a descriptive cross-sectional study.
Histologiccriteria were used for diagnostic confirmation. The overall diagnostic strategy was based on the flowchart provided byRiyadh N.
Al-Okaili et all in Intraaxial Brain Masses: MR Imaging–based Diagnostic Strategy—Initial Experience published in Radiology in 2007. As a working hypothesis,
the following parameters were considered to be predictive: Col/NAA ratio and...
From the 134 patients with tumoral lesions in MRI,
123 were confirmed by the histologic examination as represented in Figure 1. The use ofBiomarkers The biomarker of tumor infiltrationwas found to be statistically relevant allowing for the differentiation between high and low-grade tumors: Low-grade tumors: PPV 70%,
Sn 93% and Sp 94.4% High-grade tumors: PPV 94.2%,
Sn 94.3% and Sp 86.1% Metastasis: PPV 95%,
Sn 90% and Sp 99% An example of a low-grade glial tumor...
The MRI techniques increasethe diagnostic accuracy in the classification of intraaxial cerebral tumors,
establishing thevariable of tumoral infiltration as the most important metabolic biomarker in distinguishing between high-grade,
low-grade and metastatic tumors. In conclusion,
multimodal MRI is a necessarytool in the management of patients with CNS intraaxial tumors.
Intraaxial brain masses: MR imaging-based diagnostic strategy,
2007 May;243(2):539-50. Law M,
Glioma grading: sensitivity,
and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging.
AJNR Am J Neuroradiol 2003;24:1989–1998 Majós Torró C.
Espectroscopia por Resonancia Magnética de...