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Objective: To compare fast T1-weighted fluid-attenuated inversion recovery (FLAIR) and T1-weighted turbo spin-echo (TSE) imaging of the degenerative disc disease of the lumbar spine.
Materials And Methods: Thirty-five consecutive patients (19 females, 16 males; mean age 41 years, range 31-67 years) with suspected degenerative disc disease of the lumbar spine were prospectively evaluated. Sagittal images of the lumbar spine were obtained using T1-weighted TSE and fast T1-weighted FLAIR sequences. Two radiologists compared these sequences both qualitatively and quantitatively.
Results: On qualitative evaluation, CSF nulling, contrast at the disc-CSF interface, the disc-spinal cord (cauda equina) interface, and the spinal cord (cauda equina)-CSF interface of fast T1-weighted FLAIR images were significantly higher than those for T1-weighted TSE images (P<0.001). On quantitative evaluation of the first 15 patients, signal-to-noise ratios of cerebrospinal fluid of fast T1-weighted FLAIR imaging were significantly lower than those for T1-weighted TSE images (P<0.05). Contrast-to-noise ratios of spinal cord/CSF and normal bone marrow/disc for fast T1-weighted FLAIR images were significantly higher than those for T1-weighted TSE images (P<0.05).
Conclusion: Results in our study have shown that fast T1-weighted FLAIR imaging may be a valuable imaging modality in the armamentarium of lumbar spinal T1-weighted MR imaging, because the former technique has definite superior advantages such as CSF nulling, conspicuousness of the normal anatomic structures and changes in the lumbar spinal discogenic disease and image contrast and also almost equally acquisition times.
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http://dx.doi.org/10.1016/j.ejrad.2004.09.009 | DOI Listing |
Int J Stroke
September 2025
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Background: Using mobile low-field MRI in the emergency department to detect cerebral infarction(s) in patients with minor ischemic stroke (MIS) and transient ischemic attack (TIA) has not yet been thoroughly reported.
Aim: We aimed to evaluate the performance of mobile low-field (0.23T) MRI in detecting acute ischemic infarction in MIS or TIA patients within 72 hours of symptom onset and compare it to CT in those scanned within 24 hours.
Epilepsia
August 2025
Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Objective: We aim to explore the association between enlarged perivascular space (ePVS) density and stereo-electroencephalography (SEEG) biomarkers of epileptogenicity.
Methods: We retrospectively analyzed consecutive SEEG patients from an Australian site. We automatically segmented ePVSs from 3T pre-SEEG T1-weighted magnetic resonance imaging (MRI) scans and calculated ePVS (1) hemispheric, (2) sub-lobar, and (3) contact-level density.
Front Aging Neurosci
August 2025
Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States.
Background: Aging-related systemic cardiovascular changes can impair cerebrovascular circulation, contributing to hippocampal atrophy and cognitive decline. However, the mechanistic pathways by which systemic alterations may relate to hippocampal atrophy via hippocampal vascular features remain unclear.
Methods: In this study, 191 participants (aged 30-59 years, 115 female) underwent 7T MRI to segment hippocampal supply vessels and hippocampal volume from T1-weighted images.
J Magn Reson Imaging
August 2025
Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China.
Background: Bladder cancer (BCa) with variant histology (VH) is aggressive, leading to poor prognosis and resistance to neoadjuvant treatment (NAT). Preoperative identification of VH may be important for informing treatment options.
Purpose: To develop and validate a multiparametric MRI-based ensemble model to identify VH in BCa and explore its association with disease-free survival (DFS) and NAT response.
AJNR Am J Neuroradiol
September 2025
From the Department of Neurosurgery (M.V.R., D.S., J.A.T., S.G.O., D.R.K.), University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Background And Purpose: Neuromodulation of the centromedian nucleus (CM) of the thalamus has shown promise in treating refractory epilepsy, particularly for idiopathic generalized epilepsy and Lennox-Gastaut syndrome. However, precise targeting of CM remains challenging. The combination of deep learning reconstruction (DLR) and fast gray matter acquisition T1 inversion recovery (FGATIR) offers potential improvements in visualization of CM for deep brain stimulation (DBS) targeting.
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