MRI-Based Differentiation of Benign and Malignant Vertebral Collapse: Comprehensive Analysis for Optimal Treatment Planning
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https://doi.org/10.61705/p2yn5k09Keywords:
Treatment planning, benign, malignant, MRI, vertebral collapseAbstract
Introduction: It is important to distinguish between benign and malignant causes of vertebral collapse in order to design the right course of treatment. A promising method for this separation is magnetic resonance imaging (MRI), which provides excellent soft tissue resolution and multiplanar imaging capabilities.
Goals: The purpose of this study was to determine which MRI characteristics are most suggestive of a malignant or benign etiology of vertebral collapse, as well as to assess the diagnostic accuracy of MRI in this regard.
Techniques: 200 patients with vertebral collapse were the subject of a retrospective analysis, 120 of whom had benign cases and 80 of which had malignant cases. Lesion margins, presence of enhancement, and T1 and T2 signal intensities were among the MRI parameters that were examined. Sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and receiver operating characteristic (ROC) curve analysis were used to evaluate the diagnostic performance.
Outcomes: Neuroimaging showed a 95% sensitivity and 92% specificity in identifying benign from malignant vertebral collapse causes. T1 hypointensity in 25% of instances, T2 hyperintensity in 66.67% of cases, absence of enhancement in 79.17% of cases, and well-defined margins in 70.83% of cases were significant MRI characteristics linked to benign vertebral collapse. On the other hand, T1 hypointensity in 6.25% of patients, T2 hyperintensity in 118.75% of cases, the presence of enhancement in 112.5% of cases, and well-defined margins in 50% of cases were significant MRI findings linked to malignant vertebral collapse. The best MRI characteristics for differentiation were determined by ROC curve analysis to be T2 hyperintensity (area under the curve = 0.97) and the presence of enhancement (area under the curve = 0.96).
Conclusion: When it comes to distinguishing between benign and malignant causes of vertebral collapse, MRI exhibits great diagnostic accuracy. Certain MRI characteristics are highly predictive of malignancy, including T2 hyperintensity and the presence of enhancement. Consequently, magnetic resonance imaging (MRI) need to be regarded as an essential diagnostic instrument for the thorough assessment of vertebral collapse, enabling better treatment planning and better patient outcomes. Subsequent investigations ought to concentrate on resolving the recognized constraints and investigating the possible mutual benefits of merging many MRI characteristics with additional imaging techniques and biomarkers.
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