In this study, Mirco Cosottini et al. aimed to optimize the 7-T time-of-flight magnetic resonance angiography (TOF-MRA), finding it outperforms conventional 3-T TOF-MRA in evaluating intracranial vessels.
#EuropeanRadiologyExperimental #NeuroRad
š https://buff.ly/4cIsM0I
Time-of-flight MRA of intracranial vessels at 7 T - European Radiology Experimental
Background Three-dimensional time-of-flight magnetic resonance angiography (TOF-MRA) is a largely adopted non-invasive technique for assessing cerebrovascular diseases. We aimed to optimize the 7-T TOF-MRA acquisition protocol, confirm that it outperforms conventional 3-T TOF-MRA, and compare 7-T TOF-MRA with digital subtraction angiography (DSA) in patients with different vascular pathologies. Methods Seven-tesla TOF-MRA sequences with different spatial resolutions acquired in four healthy subjects were compared with 3-T TOF-MRA for signal-to-noise and contrast-to-noise ratios as well as using a qualitative scale for vessel visibility and the quantitative Canny algorithm. Four patients with cerebrovascular disease (primary arteritis of the central nervous system, saccular aneurism, arteriovenous malformation, and dural arteriovenous fistula) underwent optimized 7-T TOF-MRA and DSA as reference. Images were compared visually and using the complex-wavelet structural similarity index. Results Contrast-to-noise ratio was higher at 7 T (4.5 Ā± 0.8 (mean Ā± standard deviation)) than at 3 T (2.7 Ā± 0.9). The mean quality score for all intracranial vessels was higher at 7 T (2.89) than at 3 T (2.28). Angiogram quality demonstrated a better vessel border detection at 7 T than at 3 T (44,166 versus 28,720 pixels). Of 32 parameters used for diagnosing cerebrovascular diseases on DSA, 27 (84%) were detected on 7-T TOF-MRA; the similarity index ranged from 0.52 (dural arteriovenous fistula) to 0.90 (saccular aneurysm). Conclusions Seven-tesla TOF-MRA outperformed conventional 3-T TOF-MRA in evaluating intracranial vessels and exhibited an excellent image quality when compared to DSA. Seven-tesla TOF-MRA might improve the non-invasive diagnostic approach to several cerebrovascular diseases. Relevance statement An optimized TOF-MRA sequence at 7 T outperforms 3-T TOF-MRA, opening perspectives to its clinical use for noninvasive diagnosis of paradigmatic pathologies of intracranial vessels. Key points ā¢ An optimized 7-T TOF-MRA protocol was selected for comparison with clinical 3-T TOF-MRA for assessing intracranial vessels. ā¢ Seven-tesla TOF-MRA outperformed 3-T TOF-MRA in both quantitative and qualitative evaluation. ā¢ Seven-tesla TOF-MRA is comparable to DSA for the diagnosis and characterization of intracranial vascular pathologies. Graphical Abstract
Xueqin Wang et al. show that ultra-high b-value diffusion-weighted imaging can accurately distinguish isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas, which may have implications for personalized treatment.
#EuropeanRadiology #NeuroRad
š https://buff.ly/49yjDGh
Ultra-high b-value DWI accurately identifies isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas - European Radiology
Objectives To distinguish isocitrate dehydrogenase (IDH) genotypes and tumor subtypes of adult-type diffuse gliomas based on the fifth edition of the World Health Organization classification of central nervous system tumors (WHO CNS5) in 2021 using standard, high, and ultra-high b-value diffusion-weighted imaging (DWI). Materials and methods This prospective study enrolled 70 patients with adult-type diffuse gliomas who underwent multiple b-value DWI. Apparent diffusion coefficient (ADC) values including ADCb500/b1000, ADCb500/b2000, ADCb500/b3000, ADCb500/b4000, ADCb500/b6000, ADCb500/b8000, and ADCb500/b10000 in tumor parenchyma (TP) and contralateral normal-appearing white matter (NAWM) were calculated. The ADC ratios of TP/NAWM were assessed for correlations with IDH genotypes, tumor subtypes, and Ki-67 status; diagnostic performances were compared. Results All ADCs were significantly higher in IDH mutant gliomas than in IDH wild-type gliomas (pā<ā0.01 for all); ADCb500/b8000 had the highest area under the curve (AUC) of 0.866. All ADCs were significantly lower in glioblastoma than in astrocytoma (pā<ā0.01 for all). ADCs other than ADCb500/b1000 were significantly lower in glioblastoma than in oligodendroglioma (pā<ā0.05 for all). ADCb500/b8000 and ADCb500/b10000 were significantly higher in oligodendroglioma than in astrocytoma (pā=ā0.034 and 0.023). The highest AUCs were 0.818 for ADCb500/b6000 when distinguishing glioblastoma from astrocytoma, 0.979 for ADCb500/b8000 and ADCb500/b10000 when distinguishing glioblastoma from oligodendroglioma, and 0.773 for ADCb500/b10000 when distinguishing astrocytoma from oligodendroglioma. Additionally, all ADCs were negatively correlated with Ki-67 status (pā<ā0.05 for all). Conclusion Ultra-high b-value DWI can reliably separate IDH genotypes and tumor subtypes of adult-type diffuse gliomas using WHO CNS5 criteria. Clinical relevance statement Ultra-high b-value diffusion-weighted imaging can accurately distinguish isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas, which may facilitate personalized treatment and prognostic assessment for patients with glioma. Key Points ā¢ Ultra-high b-value diffusion-weighted imaging can accurately distinguish subtle differences in water diffusion among biological tissues. ā¢ Ultra-high b-value diffusion-weighted imaging can reliably separate isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas. ā¢ Compared with standard b-value diffusion-weighted imaging, high and ultra-high b-value diffusion-weighted imaging demonstrate better diagnostic performances.
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CT angiographic 3D VRT images of a cerebral arteriovenous malformation.
#CT #CTscan #CTAngiography #radiology #FOAMed #MedEd #Medicine #NeuroRad #AVM
Appearance matters... DSI-studio output is just too pretty. Makes you really want to believe it. Thats just 64dir b1000 q-sampling after topup+eddy
#dti #tractography #neurorad #neurosurgery #mriHello WORLD!
Iām
#neurorad based in Barcelona. Special interest in
#neuroncology #fMRI &
#DTI #tractography #BrainMapping,
#MS. Obsessed with
#computationalRadiology and
#AI. My hobbies are #!/bin/bash, reading, biking with my kid, and keeping my
#gpu busy on
#pytorch reading
#brain #MRI.
Lurie Peds Neuro Case #97
History: Teenage female with seizures
#LuriePedsNeuro #FOAMrad #FOAMed #MedEd #NeuroRad #PediNeuroRad
European Radiology
Antje Hellwich
Vijay / ą®µą®æą®ą®ÆąÆ
Pablo Naval-Baudin
Judy Gadde, DO, MBA 