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Background: Quantitative MRI allows assessment of shoulder rotator cuff (RC) muscles by Dixon MR sequences with calculation of fractional fat content (FF%) maps and diffusion tensor imaging (DTI) including tractography.
Purpose: To compare FF% and DTI derived parameters among visually intact RC muscles, to compare 2D with 3D DTI measurements and to establish normative values.
Study Type: Prospective.
Subjects: Forty patients aged >18 years undergoing shoulder MR arthrography were included.
Field Strength/sequence: MR arthrography of the shoulder including 3D multiecho Dixon and 3D echo-planar DTI sequences (15 gradient encoding directions, b-value 600 s/mm ) was performed at 3.0T.
Assessment: Muscles affected by RC tears or fatty infiltration of Goutallier grade ≥1 were excluded. Two independent radiologists measured FF%, apparent diffusion coefficient (ADC), and fractional anisotropy (FA) by region-of-interest (ROI) placements at the Y-position of the scapula and 3D tractography of each muscle with qualitative evaluation was performed.
Statistical Tests: Intraclass correlation coefficients (ICCs) and Cohen's kappa were used for interreader agreement and Pearson correlation coefficient to correlate quantitative measures with each other and age, independent-samples t-test, one-way analysis of variance (ANOVA), and Kruskal-Wallis test were performed to investigate differences between genders and muscles.
Results: Qualitative and quantitative measurements showed moderate (κ = 0.41-0.56) to almost perfect (ICC = 0.75-0.99) agreement. There were weak but significant positive correlations of FF% with age (r = 0.273, P < 0.05) and FA-2D (r = 0.319-0.383, P < 0.05). Significant differences were found among RC muscles for ADC, radial diffusivity (RD), and tract homogeneity (all P < 0.05) but not between genders (all P ≥ 0.05). High correlations of 2D with 3D measurements for ADC (r = 0.639, P < 0.001) and FA (r = 0.628, P < 0.001) were seen.
Data Conclusion: Quantitative MRI with estimation of FF% and DTI parameters shows significant age-associated changes and differences among visually intact RC muscles. High reproducibility and correlations of 2D with 3D DTI measurements can be expected.
Level Of Evidence: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:109-117.
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http://dx.doi.org/10.1002/jmri.26223 | DOI Listing |
Brain Behav
September 2025
Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Radiology, Shandong Provincial Hospital, Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.
Background: The susceptibility values of the basal ganglia reflect the health status of these nuclei. We aimed to explore the associations between various demographic characteristics, lifestyle factors, and biological factors that have the potential to contribute to magnetic susceptibility and investigate the comprehensive impact of these multiple factors on basal ganglia susceptibility values.
Methods: We included 25,980 participants from the UK Biobank.
MAGMA
September 2025
Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Heidelberglaan 100, 3585CX, Utrecht, The Netherlands.
Objective: Within gradient-spoiled transient-state MR sequences like Magnetic Resonance Fingerprinting or Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT), it is examined whether an optimized RF phase modulation can help to improve the precision of the resulting relaxometry maps.
Methods: Using a Cramer-Rao based method called BLAKJac, optimized sequences of RF pulses have been generated for two scenarios (amplitude-only modulation and amplitude + phase modulation) and for several conditions. These sequences have been tested on a phantom, a healthy human brain and a healthy human leg, to reconstruct parametric maps ( and ) as well as their standard deviations.
J Neurotrauma
September 2025
Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Mean apparent propagator MRI (MAP-MRI) quantifies subtle alterations in tissue microstructure noninvasively and provides a more nuanced and comprehensive assessment of tissue architectural and structural integrity compared with other diffusion MRI techniques. We investigate the sensitivity of MAP-MRI-derived quantitative imaging biomarkers to detect previously unseen microstructural damage in patients with mild traumatic brain injuries (mTBI), whose clinical scans otherwise appeared normal. We developed and validated an MAP-MRI data processing pipeline for analyzing diffusion-weighted images for use in healthy controls and mTBI patients whose longitudinal scans were obtained from the GE/NFL/mTBI MRI database.
View Article and Find Full Text PDFJ Control Release
September 2025
School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, Guangdong, China; Dongguan Liaobu Hospital, Dongguan 523400, Guangdong, China. Electronic address:
Fluorine-19 magnetic resonance imaging (F MRI) offers distinct advantages, including background-free signal detection, quantitative analysis, and deep tissue penetration. However, its application is currently limited by challenges associated with existing F MRI contrast agents, such as short transverse relaxation times (T), limited imaging sensitivity, and suboptimal biocompatibility. To overcome these limitations, a glutathione (GSH)-responsive triblock copolymer (PB7), featuring self-immolative characteristics, has been developed.
View Article and Find Full Text PDFComput Methods Programs Biomed
August 2025
The Institute of Cancer Research, London, UK. Electronic address:
Background And Objective: Apparent Diffusion Coefficient (ADC) values and Total Diffusion Volume (TDV) from Whole-body diffusion-weighted MRI (WB-DWI) are recognised cancer imaging biomarkers. However, manual disease delineation for ADC and TDV measurements is unfeasible in clinical practice, demanding automation. As a first step, we propose an algorithm to generate fast and reproducible probability maps of the skeleton, adjacent internal organs (liver, spleen, urinary bladder, and kidneys), and spinal canal.
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