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Secondary MRI-findings, volumetric and spectroscopic measurements in mesial temporal sclerosis: a multivariate
Maria Luisa Lopez-Acevedo1, Manuel Martinez-Lopez, Rafael Favila
1Magnetic Resonance Unit, Medica Sur Clinic & Foundation, Mexico city, Mexico.
Introduction:
Primary- and secondary MR findings, volumetric measurements and MR spectroscopy data of each hippocampus represent more a dozen of variables that radiologists should consider in a quantitative MR report of temporal lobe epilepsy (TLE). There is a paucity of data about the significance of secondary MR findings simultaneously evaluated with volumetry and MR spectroscopy. We analyzed the influence of qualitative-secondary MR findings simultaneously with quantitative (volumetry and spectroscopy) data in MRI positive- and negative patients with mesial temporal sclerosis (MTS).
Methods:
Analytic and transversal study of 59 patients with TLE and suspiciousness of MTS. 13 variables were analyzed for each hippocampus: age, gender, cerebral hemisphere, temporal lobe atrophy, choroidal fissure dilatation, mamillary body atrophy, collateral white matter atrophy, fornix asymmetry; Naa/Cr, Cho/Cr, mI/Cr, Naa/(Cr+Cho); and hippocampus volume (mm3). Multivariate discriminant analysis (DA) was performed with the aim to identify specific morphologic and metabolic attributes in hippocampi with and without MTS.
Results:
Discriminant function significantly differentiated the hippocampi with- and without MTS (Wilks' λ = 0.211, χ2 (11) = 116.072, p = < .001. The model explained 79.03% of the variation in the grouping variable. The pooled within-groups correlations showed the highest influence of discriminating function for the secondary MR findings over metabolite indices and hippocampal volumes, the overall predictive accuracy was 93.9%.
Discussion:
Due of the large number of variables (qualitative and quantitative) to which a radiologist is exposed in a conventional hippocampal MR-report, such evaluation might benefit from the use of predictive models generated by unconventional statistical methods, such as DA.
Insights
Radiologists can improve temporal lobe epilepsy (TLE) diagnosis by using discriminant analysis. This method prioritizes secondary MR findings, enhancing accuracy in identifying mesial temporal sclerosis (MTS).
Area of Science:
- Neurology
- Radiology
- Medical Imaging
Background:
- Temporal lobe epilepsy (TLE) diagnosis involves numerous variables, including MR imaging findings, volumetric measurements, and MR spectroscopy data.
- Limited data exists on the combined significance of secondary MR findings with volumetry and MR spectroscopy in TLE.
- This study investigates the influence of qualitative secondary MR findings alongside quantitative data in MRI-positive and MRI-negative mesial temporal sclerosis (MTS) patients.
Purpose of the Study:
- To analyze the influence of qualitative secondary MR findings simultaneously with quantitative data (volumetry and spectroscopy) in TLE patients.
- To identify specific morphologic and metabolic attributes in hippocampi with and without MTS using discriminant analysis.
- To assess the predictive accuracy of a model incorporating these variables for MTS detection.
Main Methods:
- An analytic and transversal study involving 59 patients with TLE and suspected MTS.
- Analysis of 13 variables per hippocampus, including atrophy measures, metabolite ratios (Naa/Cr, Cho/Cr, mI/Cr, Naa/(Cr+Cho)), and hippocampal volume.
- Multivariate discriminant analysis (DA) was employed to differentiate hippocampi with and without MTS.
Main Results:
- Discriminant function significantly differentiated hippocampi with and without MTS (p < .001), explaining 79.03% of the variation.
- Secondary MR findings had the highest influence on the discriminating function compared to metabolite indices and hippocampal volumes.
- The overall predictive accuracy of the model reached 93.9%.
Conclusions:
- The evaluation of hippocampal MR reports, which involve numerous variables, can be enhanced by predictive models.
- Discriminant analysis (DA) is a valuable statistical method for integrating qualitative and quantitative MR data in TLE.
- This approach improves diagnostic accuracy for mesial temporal sclerosis (MTS).
