Ultra-high-field 7-Tesla MRI of the brain detected abnormalities in the substantia nigra among subjects with Parkinson’s disease.
Ultra-high-field 7-Tesla (7-T) MRI can provide detailed views of the brain implicated in Parkinson’s disease, which may lead to earlier detection, according to a study published in the journal Radiology.
Researchers from the University of Pisa in Italy undertook a study to use 7-T MRI to evaluate the anatomy of the substantia nigra (SN) in both healthy subjects and those with Parkinson’s disease.
After training on the appearance of the SN of eight healthy subjects (mean age 40.1 years), the researchers scanned 13 more subjects who did not have Parkinson’s disease (mean age 54.7 years) and 17 subjects who did have the disease (mean age 56.9 years). The images were evaluated twice by two blinded observers.
The researchers were able to distinguish a three-layered organization of the SN and detect abnormalities among the patients with Parkinson’s disease (PD) with a sensitivity of 100 percent and a specificity of 96.2 percent. "The main results of the our study are the demonstration of the capability of 7-T [MRI] to depict the borders of the SN and its inner organization, and to reveal simple radiologic signs that show the loss of the three-layer organization and the lateral spot of the SN in PD patients," the authors wrote. "Those signs allowed us to discriminate with near-perfect accuracy PD subjects from age-matched healthy subjects, which demonstrated a good diagnostic power of 7-T [MRI] in PD."
The authors concluded that more research must be done with larger study groups, but these findings were promising that 7-T MRI may eventually allow a radiological diagnosis to support a clinical diagnosis of Parkinson’s disease, in addition to other neurological diseases.
Enhancing Lesions on Breast MRI: Can an Updated Kaiser Scoring Model Improve Detection?
September 26th 2024The addition of parameters such as patient age, MIP sign and associated imaging features to the Kaiser score demonstrated a 95.6 percent AUC for breast cancer detection of enhancing lesions on breast MRI in recently published research.
MRI or Ultrasound for Evaluating Pelvic Endometriosis?: Seven Takeaways from a New Literature Review
September 13th 2024While noting the strength of MRI for complete staging of disease and ultrasound’s ability to provide local disease characterization, the authors of a new literature review suggest the two modalities offer comparable results for diagnosing pelvic endometriosis.
New Meta-Analysis Examines MRI Assessment for Treatment of Esophageal Cancer
September 12th 2024Diffusion-weighted MRI provided pooled sensitivity and specificity rates of 82 percent and 81 percent respectively for gauging patient response to concurrent chemoradiotherapy for esophageal cancer, according to new meta-analysis.