Purpose: To assess the diagnostic capability of a new multi-contrast high-resolution imaging protocol for the wrist at 3 T and to compare it to our standard 1.5-T protocol.
Materials And Methods: In 10 volunteers, images were acquired at 1.5 T (standard surface coil) and 3 T (custom-made phased array coil; Gyroscan Intera; Philips Medical Systems, Best, the Netherlands). Imaging protocols consisted of coronal T1-weighted turbo spin-echo (TSE), coronal T2-weighted TSE, and proton density-weighted TSE fat-saturated (FS) sequences and sagittal T2-TSE and proton density-weighted TSE-FS sequences. Increased signal-to-noise ratio at 3 T was used to reduce measured voxel size from 0.50 x 0.50 x 3.0 mm (1.5 T) to 0.20 x 0.20 x 1.5 mm (3 T). Total examination time was approximately 25 minutes. To compare the diagnostic capability of both protocols, 4 observers assessed in consensus the visibility of 14 well-defined clinically important anatomical landmarks (origin and insertion of 6 intrinsic and extrinsic carpal ligaments, central portion of the triangular fibrocartilage complex, and ulna, triquetral, and radial attachments). Image quality and artifacts were ranked qualitatively on a 5-point scale.
Results: Of 140 detectable structures, 75 were detected at 1.5 T and 126 at 3 T. Overall image quality was significantly better at 3 T (3.8 vs 4.9, P = 0.002), whereas artifact score did not differ significantly (4.3 vs 4.5, P = 0.317).
Conclusions: This is the result of investing the higher signal-to-noise ratio at 3 T into better spatial resolution; depiction of the normal anatomy of the wrist benefits significantly. Additional studies will need to be performed to determine if 3-T images will increase the accuracy of detecting abnormalities of these structures of the wrist.
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http://dx.doi.org/10.1097/RCT.0b013e31819bc03f | DOI Listing |
BMC Anesthesiol
January 2025
Department of Critical Care Medicine, West China Hospital, Sichuan University, 37 Guo Xue Xiang St, Chengdu, 610041, Sichuan, China.
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J Interv Card Electrophysiol
January 2025
Division of Cardiology, Northwestern University, Chicago, IL, USA.
Atrial arrhythmias, including atrial fibrillation (AF), are a major contributor to cardiovascular morbidity and mortality. Early detection and effective management are critical to mitigating adverse outcomes such as stroke, heart failure, and overall mortality. Wearable devices have emerged as promising tools for monitoring, detecting, and managing atrial arrhythmias near-continuously.
View Article and Find Full Text PDFNat Commun
January 2025
College of Chemistry, Nankai University, Tianjin, China.
Pathogenic intracellular bacteria pose a significant threat to global public health due to the barriers presented by host cells hindering the timely detection of hidden bacteria and the effective delivery of therapeutic agents. To address these challenges, we propose a tandem diagnosis-guided treatment paradigm. A supramolecular sensor array is developed for simple, rapid, accurate, and high-throughput identification of intracellular bacteria.
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January 2025
Department of Analytical Chemistry, University of Valencia, Dr. Moliner 50, 46100 Burjassot, Spain. Electronic address:
The presence of cells in urine and in particular White Blood Cells (WBCs) is often associated with Urinary Tract Infections (UTIs) and other diseases. Non-invasive screening of WBCs requires the development of cost-effective point of care diagnostic tools. Infrared (IR) spectroscopy has the potential to identify and quantify cells in urine.
View Article and Find Full Text PDFInt J Med Inform
January 2025
School of Computer Science and Engineering, Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, PR China. Electronic address:
Background: In the context of routine breast cancer diagnosis, the precise discrimination between benign and malignant breast masses holds utmost significance. Notably, few prior investigations have concurrently explored the integration of imaging histology features, deep learning characteristics, and clinical parameters. The primary objective of this retrospective study was to pioneer a multimodal feature fusion model tailored for the prediction of breast tumor malignancy, harnessing the potential of ultrasound images.
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