Macrocyclic GBCAs in nonenhanced T1 signal intensity pediatric brain tissue.
Multiple administration of macrocyclic gadolinium-based contrast agents (GBCAs) does not result in measurable increase in signal intensity (SI) in key brain regions among children, according to a study published in Radiology.
Researchers from Germany performed a retrospective study to determine whether SI in T1 sequences as a potential indicator of gadolinium deposition increases after repeated administration of GBCAs gadoteridol and gadoterate meglumine in a pediatric cohort.
Twenty-four children with brain tumors, aged 5 to 18, were included in the study. All children underwent nine or more contrast material–enhanced brain MR imaging studies. Twenty-four control patients with nonpathologic MR neuroimaging findings and no GBCA administration were also included.
The researchers measured SI on unenhanced T1-weighted MR images for five regions of interest (ROIs):
• Dentate nucleus (DN)
• Pons
• Substantia nigra (SN)
• Pulvinar thalami
• Globus pallidus (GP)
There was a mean of 14.2 GBCA administrations. No significant differences in mean SI for any ROI and no group differences were found when DN-to-pons and GP-to-pulvinar ratios were compared.
Mean signal-intensity ratios:
The researchers concluded that multiple intravenous administrations of these macrocyclic GBCAs in children were not associated with a measurable increase in SI in T1 sequences as an indicator of brain gadolinium deposition detectable by using MR imaging. However, additional imaging and pathologic studies are needed to confirm the findings.
Can Deep Learning Radiomics with bpMRI Bolster Accuracy for Prostate Cancer Prognosis?
January 22nd 2025An emerging deep learning radiomics model based on biparametric MRI (bpMRI) offered a 14 to 17 percent higher AUC range than PI-RADS scoring for predicting the aggressiveness of prostate cancer, according to new research findings.
Seven Takeaways from New CT and MRI Guidelines for Ovarian Cancer Staging
January 20th 2025In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.
Can Generative AI Facilitate Simulated Contrast Enhancement for Prostate MRI?
January 14th 2025Deep learning synthesis of contrast-enhanced MRI from non-contrast prostate MRI sequences provided an average multiscale structural similarity index of 70 percent with actual contrast-enhanced prostate MRI in external validation testing from newly published research.
Can MRI-Based AI Enhance Risk Stratification in Prostate Cancer?
January 13th 2025Employing baseline MRI and clinical data, an emerging deep learning model was 32 percent more likely to predict the progression of low-risk prostate cancer (PCa) to clinically significant prostate cancer (csPCa), according to new research.