Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1038/d41586-022-02817-2 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Prognostic value of manual versus automatic methods for assessing extents of resection and residual tumor volume in glioblastoma.
J Neurosurg
January 2025
1Department of Neurosurgery, St. Olav's University Hospital, Trondheim, Norway.
Objective: The extent of resection (EOR) and postoperative residual tumor (RT) volume are prognostic factors in glioblastoma. Calculations of EOR and RT rely on accurate tumor segmentations. Raidionics is an open-access software that enables automatic segmentation of preoperative and early postoperative glioblastoma using pretrained deep learning models.
View Article and Find Full Text PDFHomologous In-Radiolabeled Platelet Survival and Sequestration Exploration for Refractory Immunologic Thrombocytopenic purpura in Children: A Strategy to Avoid Unnecessary Splenectomy.
Mol Imaging
January 2025
Nuclear Medicine Department, Montpellier University Hospital, University of Montpellier, Montpellier, France.
Immunologic thrombocytopenic purpura (ITP) is a condition that affects four to 18 per 100 000 children every year. In most cases, spontaneous remission occurs, but splenectomy may be proposed. Exploring the site of platelet sequestration can help to better predict potential poor responders to splenectomy, but In-radiolabeled platelet scintigraphy (IPS) can be difficult to perform in children with very few platelets.
View Article and Find Full Text PDFClinical impact of an explainable machine learning with amino acid PET imaging: application to the diagnosis of aggressive glioma.
Eur J Nucl Med Mol Imaging
January 2025
IADI, U1254, Inserm, Université de Lorraine, Nancy, France.
Purpose: Radiomics-based machine learning (ML) models of amino acid positron emission tomography (PET) images have shown efficiency in glioma prediction tasks. However, their clinical impact on physician interpretation remains limited. This study investigated whether an explainable radiomics model modifies nuclear physicians' assessment of glioma aggressiveness at diagnosis.
View Article and Find Full Text PDFPlasma N-terminal tau fragment is an amyloid-dependent biomarker in Alzheimer's disease.
Alzheimers Dement
January 2025
Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Introduction: Novel fluid biomarkers for tracking neurodegeneration specific to Alzheimer's disease (AD) are greatly needed.
Methods: Using two independent well-characterized cohorts (n = 881 in total), we investigated the group differences in plasma N-terminal tau (NT1-tau) fragments across different AD stages and their association with cross-sectional and longitudinal amyloid beta (Aβ) plaques, tau tangles, brain atrophy, and cognitive decline.
Results: Plasma NT1-tau significantly increased in symptomatic AD and displayed positive associations with Aβ PET (positron emission tomography) and tau PET.
In vivo 9.4 Tesla MRI of a patient with drug-resistant epilepsy: Technical report.
Acta Neurochir (Wien)
January 2025
Department of Neurosurgery, Maastricht University Medical Centre, Maastricht, Netherlands.
Purpose: In resective epilepsy surgery for drug-resistant focal epilepsy (DRE), good seizure outcome is strongly associated with visualization of an epileptogenic lesion on MRI. Standard clinical MRI (≤ 3 Tesla (T)) may fail to detect subtle lesions. 7T MRI enhances detection and delineation, the potential benefits of increasing field strength to 9.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!