Multiparametric MRI helps identify low- and high-grade brain gliomas, reducing risk of inappropriate or delayed surgery.
Multiparametric MR imaging significantly improved discrimination between low- and high-grade brain gliomas, according to a study published in the journal Radiology.
Researchers from Italy undertook a retrospective study to determine how multiparametric MR imaging, taking into account the heterogeneity of the lesions at MR imaging, affected current radiologic reporting methods and grading of brain gliomas.
A total of 118 patients with histologically confirmed brain gliomas were evaluated. The patients had undergone conventional and advanced MR sequences (perfusion-weighted imaging, MR spectroscopy, and diffusion-tensor imaging). Three evaluations were conducted:
The researchers found that there were significant differences in age, relative cerebral blood volume (rCBV) in contrast-enhanced regions (area under the ROC curve [AUC] = 0.937), areas of lowest signal intensity on T2-weighted images, restricted diffusivity regions, and choline/creatine ratio in regions with the lowest signal intensity on T2-weighted images.
“[Discriminant function analysis] (DFA) that included age; rCBV in contrast-enhanced regions, areas of lowest signal intensity on T2-weighted images, and areas of restricted diffusivity; and choline/creatine ratio in areas with lowest signal intensity on T2-weighted images was used to classify 95 percent of patients correctly,” the authors wrote. “Quantitative analysis showed a higher concordance with histologic findings than qualitative and semiquantitative methods (P < .0001).”
The researchers concluded that quantitative multiparametric MR imaging evaluation incorporating heterogeneity at MR imaging significantly improved discrimination between low- and high-grade brain gliomas with a very high AUC. This reduced the risk of inappropriate or delayed surgery.
FDA Clears Virtually Helium-Free 1.5T MRI System from Siemens Healthineers
June 26th 2025Offering a cost- and resource-saving DryCool magnet technology, the Magnetom Flow.Ace MRI system reportedly requires 0.7 liters of liquid helium for cooling over the lifetime of the device in contrast to over 1,000 liters commonly utilized with conventional MRI platforms.
Multinational Study Reaffirms Value of Adjunctive AI for Prostate MRI
June 16th 2025The use of adjunctive AI in biparametric prostate MRI exams led to 3.3 percent and 3.4 percent increases in the AUC and specificity, respectively, for clinically significant prostate cancer (csPCa) in a 360-person cohort drawn from 53 facilities.
FDA Clears Enhanced MRI-Guided Laser Ablation System
June 5th 2025An alternative to an open neurosurgical approach, the Visualase V2 MRI-Guided Laser Ablation System reportedly utilizes laser interstitial thermal therapy (LITT) for targeted soft tissue ablation in patients with brain tumors and focal epilepsy.