98%
921
2 minutes
20
Rationale And Objectives: The purpose of this study was to explore conventional MRI features that can accurately differentiate central nervous system embryonal tumor, not otherwise specified (CNS ETNOS) from glioblastoma (GBM) in adults.
Materials And Methods: Preoperative conventional MRI images of 30 CNS ETNOS and 98 GBMs were analyzed by neuroradiologists retrospectively to identify valuable MRI features. Five blinded neuroradiologists independently reviewed all these MRI images, and scored MRI features on a five-point scale. Kendall's coefficient of concordance was used to measure inter-rater agreement. Diagnostic value was assessed by the area under the curve (AUC) of receiver operating curve, and sensitivity and specificity were also calculated.
Results: Seven MRI features, including isointensity on T1WI, T2WI, and FLAIR, ill-defined margin, severe peritumoral edema, ring enhancement, and broad-based attachment sign, were helpful for the differential diagnosis of these two entities. Among these features, ring enhancement showed the highest inter-rater concordance (0.80). Ring enhancement showed the highest AUC value (0.79), followed by severe peritumoral edema (0.67). The combination of seven features showed the highest AUC value (0.86), followed by that of three features (ill-defined margin, severe peritumoral edema, and ring enhancement) (0.83).
Conclusion: Enhancement pattern, peritumoral edema, and margin are valuable for the discrimination between CNS ETNOS and GBM in adults.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.acra.2021.01.010 | DOI Listing |
Neurology
October 2025
Norcliffe Foundation Center for Integrative Brain Research, Seattle Children's Research Institute, WA.
Background And Objectives: Neuroimaging findings in immune effector cell-associated neurotoxicity syndrome (ICANS) have not been systematically described. We created the chimeric antigen receptor (CAR) T-cell Neurotoxicity Imaging Virtual Archive Library (CARNIVAL), a centralized imaging database for children and young adults receiving CAR T-cell therapy. Objectives of this study were to (1) characterize neuroimaging findings associated with ICANS and (2) determine whether specific ICANS-related neuroimaging findings are associated with individual neurologic symptoms.
View Article and Find Full Text PDFJ Vis Exp
August 2025
Department of Orthopedics, Affiliated Hospital of Nantong University;
Langerhans cell histiocytosis is a relatively rare disease. This article explores the clinicopathological features, differential diagnosis, and biological characteristics of Langerhans cell histiocytosis. A comprehensive analysis was conducted on the clinical data, clinical characteristics, histological observations, immunohistochemical studies, pathological features, treatment, and prognosis of one case of Langerhans cell histiocytosis occurring in the temporal bone, to enhance clinical understanding of this disease.
View Article and Find Full Text PDFRadiol Med
September 2025
Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy.
Metastatic involvement (MB) of the breast from extramammary malignancies is rare, with an incidence of 0.09-1.3% of all breast malignancies.
View Article and Find Full Text PDFJ Neuromuscul Dis
September 2025
Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA.
Background: Electrical impedance myography (EIM) has been proposed as an efficient, non-invasive biomarker of muscle composition in facioscapulohumeral muscular dystrophy (FSHD).
Objective: We investigate whether EIM parameters are associated with muscle structure measured by magnetic resonance imaging (MRI), muscle histology, and transcriptomic analysis as well as strength at the individual leg muscle level.
Methods: We performed a multi-center cross-sectional study enrolling 33 patients with FSHD.
J Ultrasound Med
September 2025
Department of Ultrasound, Donghai Hospital Affiliated to Kangda College of Nanjing Medical University, Lianyungang, China.
Objective: The aim of this study is to evaluate the prognostic performance of a nomogram integrating clinical parameters with deep learning radiomics (DLRN) features derived from ultrasound and multi-sequence magnetic resonance imaging (MRI) for predicting survival, recurrence, and metastasis in patients diagnosed with triple-negative breast cancer (TNBC) undergoing neoadjuvant chemotherapy (NAC).
Methods: This retrospective, multicenter study included 103 patients with histopathologically confirmed TNBC across four institutions. The training group comprised 72 cases from the First People's Hospital of Lianyungang, while the validation group included 31 cases from three external centers.