Publications by authors named "M Mannil"
Article Synopsis
- The study aimed to determine if clinical features can predict the success of meningioma surgery by differentiating between gross total resections (GTR) and subtotal resections (STR).
- The researchers analyzed 23 clinical features in a group of 157 patients, comparing two methods: Simpson grading and postoperative operative tumor volume (POTV) for predicting surgical outcomes.
- Their final decision tree model demonstrated strong predictive accuracy (mean AUC of 0.885), which can assist in surgical planning and determining the need for further treatment after surgery.
encodes the mitochondrial coenzyme A (CoA) transporter localized at the inner mitochondrial membrane. SLC25A42 deficiency leads to a congenital disease with a heterogeneous clinical presentation, including myopathy, developmental delay, lactic acidosis, and encephalopathy. Twenty-one patients have been described so far.
View Article and Find Full Text PDFThe isocitrate dehydrogenase (IDH) mutation status is one of the most important markers according to the 2021 WHO classification of CNS tumors. Preoperatively, this information is usually obtained based on invasive biopsies, contrast-enhanced MR images or PET images generated using radioactive tracers. However, the completely non-invasive determination of IDH mutation status using routinely acquired preoperative native CT images has hardly been investigated to date.
View Article and Find Full Text PDFTo evaluate whether incorporating CT perfusion imaging can significantly enhance diagnostic CT accuracy in stroke detection. Two 3rd-year residents (3rd of 5 years of residency) reviewed CT scans of 200 patients with suspected stroke, consisting of 104 patients with a proven stroke and a control group with 96 patients. They analyzed each patient in a blinded and randomized manner in two runs.
View Article and Find Full Text PDFArticle Synopsis
- Researchers wanted to see if using special technology to create 3D images of the lower back (lumbar spine) was better than regular 2D images for MRIs.!
- They tested this on 53 patients, comparing 2D images with two different types of 3D images to see which had better quality in 8 different areas, like clarity and noise levels.!
- The 3D images using the special technology were found to be as good or better than the 2D images, showing that we can get high-quality pictures without losing detail.!