While cone beam CT (CBCT) is commonly used in musculoskeletal imaging of the extremities, its application in spinal imaging has been restricted by small field-of-view (FOV) coverage. Recent advancements in gantry-based CBCT systems promise to enable comprehensive imaging of the spinal column.
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Bilateral asymmetry of multifidus fat infiltration in cervical ossification of the posterior longitudinal ligament: A cross-sectional MRI analysis for risk stratification and clinical decision support
Symptom severity in cervical ossification of the posterior longitudinal ligament (OPLL) often correlates poorly with anatomical compression alone.
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Multi-modal deep learning model for predicting recurrence of moderately severe and severe acute pancreatitis
Acute pancreatitis (AP) is a common clinical emergency in the digestive system, with its global incidence showing an upward trend year by year [1]. The mortality rate in patients with severe acute pancreatitis (SAP) can reach as high as 20–30% [2,3]. And the long-term adverse outcomes of AP—including recurrent acute pancreatitis (RAP), chronic pancreatitis (CP), and post-acute pancreatitis diabetes mellitus (PPDM), continue to severely impair patients’ quality of life and increase medical burden…
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Diagnostic value of susceptibility-weighted imaging in differentiating benign and malignant breast lesions
Susceptibility-weighted images (SWI) are generated from gradient-echo (GRE) pulse sequences. Since GRE sequences lack the ability to refocus spins that experience phase loss due to magnetic field inhomogeneities, they exhibit high sensitivity to differences in tissue susceptibilities. Biological tissues generally exhibit weak diamagnetic properties; however, tissues containing iron, gadolinium, copper, or manganese demonstrate paramagnetic behavior, while iron complexes such as ferritin and hemo…
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Assessing the completeness of reporting in imaging studies using artificial neural network models for cancer diagnosis: Adherence to the TRIPOD-AI guideline
Developments in artificial neural networks (ANNs) offer significant promise for cancer screening and risk prediction, with the potential to improving patient outcomes. Ensuring complete and transparent reporting of study methodologies is important for ensuring model reproducibility. This review aims to evaluate the completeness of reporting of imaging studies that utilise ANN models for cancer screening and characterisation.
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The climber’s finger : imaging of finger flexor tendon pulley injuries
Climbing became an Olympic sport in 2020 and is now practiced increasingly worldwide [1]. The fingers are the most commonly injured body part among climbers [2–4], and among finger injuries, the most frequent involve the finger FT pulleys [5]. Imaging modalities play a key role in the accurate diagnosis of pulley injuries [6–10]. US is the first-line imaging technique, offering high-resolution detail [4,9,11–13].
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Measuring the long diameter of the esophageal hiatus using axial CT images
According to the American Foregut Society, the antireflux barrier consists of three main components: the crural diaphragm, the lower esophageal sphincter (LES), and the gastroesophageal flap valve. The intraabdominal esophageal length and an acute angle of His are both integral to an intact flap valve [1]. Correspondingly, antireflux surgery aims to restore this barrier through three principal procedures: (1) hiatal hernia repair to reestablish the intraabdominal esophageal length; (2) crural cl…
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Extrahepatic bile duct on MRCP: Does incidentally detected dilation in the absence of signs or symptoms of obstruction require further investigation?
Dilation of the extrahepatic bile duct (EHD) on imaging, which includes the common hepatic and bile ducts, is often assumed to be due to obstruction. The purpose of this study was to determine if EHD diameter differs between patients with and without active EHD obstruction.
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Financial impact of deep learning reconstruction in magnetic resonance imaging: experiences after widespread deployment
To evaluate the impact of deep learning reconstruction (DLR) on MRI productivity at a tertiary care academic hospital, and to validate a previously published Monte Carlo–based forecast of the productivity enhancement potential of DLR.