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Aim: This study aimed to evaluate the diagnostic value of ultrahigh-field magnetic resonance imaging (MRI) for brain tumors in clinical practice.
Methods: Thirty patients with brain tumors underwent 7- and 3-T MRI. The performance and diagnostic confidence of 7- and 3-T MRI in the visualization of tumor details such as internal structure and feeding artery were evaluated by radiologists. Contrast-enhanced region performance and tumor detail diagnostic confidence score (DCS) were calculated and compared between 7 and 3T using Wilcoxon rank sum test.
Results: In 19 with obvious enhancement and 11 cases without obvious enhancement, 7- and 3-T MRI showed similar performance. The tumors' internal structure and feeding artery were more clearly depicted by 7-T MRI (62.2% and 54.4%, respectively) than by 3-T MRI (2.2% and 6.7%, respectively). Furthermore, the mean DCSs of both internal structure and feeding artery were higher at 7T than at 3T (internal structure: 16.29 ± 9.67 vs. -5.79 ± 4.12, p = 0.028; feeding artery: 21.96 ± 6.93 vs. 4.46 ± 7.07, p = 0.028). The DCS was more significantly improved in the senior radiologist group.
Conclusion: Better visualization of brain tumor details and higher tumor detail diagnostic confidence can be obtained with 7-T MRI.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873521 | PMC |
http://dx.doi.org/10.1111/cns.14036 | DOI Listing |
JAMA Neurol
September 2025
Department of Radiology, University of Washington, Seattle.
Importance: Recent longitudinal studies in patients with unruptured intracranial aneurysms (UIAs) suggested that aneurysm wall enhancement (AWE) on magnetic resonance imaging (MRI) predicts growth and rupture. However, because these studies were limited by small sample size and short follow-up duration, it remains unclear whether this radiological biomarker has predictive value for UIA instability.
Objective: To determine the 4-year risk of instability of UIAs with AWE and investigate whether AWE is an independent predictor of UIA instability.
Eur J Neurol
September 2025
Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Background: Frontotemporal dementia (FTD) encompasses diverse clinical phenotypes, primarily characterized by behavioral and/or language dysfunction. A newly characterized variant, semantic behavioral variant FTD (sbvFTD), exhibits predominant right temporal atrophy with features bridging behavioral variant FTD (bvFTD) and semantic variant primary progressive aphasia (svPPA). This study investigates the longitudinal structural MRI correlates of these FTD variants, focusing on cortical and subcortical structural damage to aid differential diagnosis and prognosis.
View Article and Find Full Text PDFFront Public Health
September 2025
Department of Neurology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Objective: To investigate the neural and molecular correlates of occupational burnout in nurses by integrating resting-state fMRI (rs-fMRI), clinical assessments, brain-wide gene expression, and neurotransmitter atlases.
Methods: Fifty-one female nurses meeting burnout criteria and 51 matched healthy controls underwent 3 T rs-fMRI. We analyzed fractional amplitude of low-frequency fluctuations (fALFF) and seed-based functional connectivity (FC), correlating findings with burnout (emotional exhaustion [EE], depersonalization [DP], and personal accomplishment [PA]).
J Magn Reson Imaging
September 2025
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Background: Automated cardiac MR segmentation enables accurate and reproducible ventricular function assessment in Tetralogy of Fallot (ToF), whereas manual segmentation remains time-consuming and variable.
Purpose: To evaluate the deep learning (DL)-based models for automatic left ventricle (LV), right ventricle (RV), and LV myocardium segmentation in ToF, compared with manual reference standard annotations.
Study Type: Retrospective.
Semin Arthritis Rheum
August 2025
Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States. Electronic address:
Objective: To estimate the prevalence of knee structural pathologies that may warrant exclusion from disease-modifying osteoarthritis drug (DMOAD) trials, based on MRI versus radiography, among participants who would otherwise be considered eligible for enrollment based on commonly used radiographic inclusionary criteria.
Methods: We selected participants from the baseline visit of the Osteoarthritis Initiative that met radiographic structural and clinical eligibility criteria for a DMOAD clinical trial: Radiographic OA (Kellgren-Lawrence grade 2 or 3 with medial minimum joint space width ≥ 1.5 mm); and WOMAC knee pain score between 8 and 18 (0-20 scale).