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Quantitative MRI techniques such as T2 and T1ρ mapping are beneficial in evaluating knee joint pathologies; however, long acquisition times limit their clinical adoption. MIXTURE (Multi-Interleaved X-prepared Turbo Spin-Echo with IntUitive RElaxometry) provides a versatile turbo spin-echo (TSE) platform for simultaneous morphologic and quantitative joint imaging. Two MIXTURE sequences were designed along clinical requirements: "MIX1", combining proton density (PD)-weighted fat-saturated (FS) images and T2 mapping (acquisition time: 4:59 min), and "MIX2", combining T1-weighted images and T1ρ mapping (6:38 min). MIXTURE sequences and their reference 2D and 3D TSE counterparts were acquired from ten human cadaveric knee joints at 3.0 T. Contrast, contrast-to-noise ratios, and coefficients of variation were comparatively evaluated using parametric tests. Clinical radiologists ( = 3) assessed diagnostic quality as a function of sequence and anatomic structure using five-point Likert scales and ordinal regression, with a significance level of α = 0.01. MIX1 and MIX2 had at least equal diagnostic quality compared to reference sequences of the same image weighting. Contrast, contrast-to-noise ratios, and coefficients of variation were largely similar for the PD-weighted FS and T1-weighted images. In clinically feasible scan times, MIXTURE sequences yield morphologic, TSE-based images of diagnostic quality and quantitative parameter maps with additional insights on soft tissue composition and ultrastructure.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11120432 | PMC |
http://dx.doi.org/10.3390/diagnostics14100978 | DOI Listing |
Radiol Imaging Cancer
September 2025
Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Purpose To evaluate intravoxel incoherent motion (IVIM) biomarkers across different MRI vendors and software programs for breast cancer characterization in a two-site study. Materials and Methods This institutional review board-approved, Health Insurance Portability and Accountability Act-compliant retrospective study included 106 patients (with 18 benign and 88 malignant lesions) who underwent bilateral diffusion-weighted imaging (DWI) between February 2009 and March 2013. DWI was performed using 1.
View Article and Find Full Text PDFMagn Reson Imaging
September 2025
Julius-Maximilians-Universität Würzburg, Department of Experimental Physics 5, Germany.
Purpose: Presenting a technique to quantify the transverse relaxation time T, which is associated with the diffusion of water molecules through the internal magnetic field gradients of the lung in-vivo.
Methods: A Half-Fourier-Acquired Single-shot Turbo spin-Echo (HASTE) pulse sequence with Hahn-echo preparation was implemented and used for image acquisition. Quantification of T was performed by acquiring multiple images with identical TE, but with a different number of refocusing pulses between excitation and signal acquisition.
Eur Radiol
August 2025
Department of Radiology and Imaging Sciences, University of Arizona, Tucson, Arizona, USA.
Objective: T2 mapping allows for the classification of focal liver lesions, differentiating malignancies from the most common benign liver lesions, hemangiomas, and bile duct hamartomas (BDH). Partial volume (PV) due to the presence of liver and lesion within the same voxel confounds the classification of small lesions. Our objective is to develop a robust two-component T2 estimation technique (SEPG2-SP) to enable accurate T2 estimation in the presence of PV.
View Article and Find Full Text PDFAJNR Am J Neuroradiol
August 2025
From the Guilloz Imaging Department, Central Hospital, University Hospital of Nancy, 54000 Nancy, France (F.B, U.P,PA.G-T, A.B,R.G); From Department of Radiology, Mayo Clinic, Rochester, MN 55901, USA (JI.L, RJ.W). From Université de Lorraine, CIC, Innovation Technologique, University Hospital Cent
Background And Purpose: The labyrinth is a complex anatomical structure in the temporal bone. However, high-resolution imaging of its membranous portion is challenging due to its small size and the limitations of current MRI techniques. Deep Learning Reconstruction (DLR) represents a promising approach to advancing MRI image quality, enabling higher spatial resolution and reduced noise.
View Article and Find Full Text PDFAJNR Am J Neuroradiol
August 2025
From Tu Lab for Diagnostic Research (SR, OZ, CKH, LHT) and Department of Radiology and Biomedical Imaging (SR, CH, IDDS, JKN, OZ, CKH, CFEK, LHT), Yale School of Medicine, New Haven, CT, USA.
Magnetic resonance imaging (MRI) of the lumbosacral plexus (LSP) is a critical tool for evaluating pelvic and lower extremity peripheral nerve disorders. The rarity of this exam type and the complexity of underlying anatomy can produce challenges for interpretation. This pictorial review outlines a structured approach for evaluating lumbosacral plexus MRI (LSP MRI), emphasizing key imaging anatomy, MRI protocols, and a spectrum of commonly encountered pathologies to aid radiologists in interpretating LSP MRI.
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