Pyogenic liver abscess (PLA), a suppurative infection of the hepatic parenchyma, represents one of the more common infectious diseases affecting the digestive system [1]. Without prompt intervention, PLA can lead to severe complications, including sepsis, multiple organ dysfunction, and death, with reported mortality rates ranging from 2.8 % to 10.8 % [2,3]. The annual incidence of PLA in Western countries is estimated at 1.0 to 7.0 per 100,000 people [4,5]. In contrast, in several Asian countri…
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Metacarpophalangeal Joints of the Long Fingers: Anatomy, Biomechanics, and Imaging Techniques
The metacarpophalangeal joint (MCPJ) of the long fingers exhibits complex joint kinematics, including flexion-extension, lateral movements, and axial rotation. It functions through a balance between mobility on one hand and stability and joint congruence on the other. The anatomical structures that ensure this balance through adaptive biomechanical mechanisms are the articular surfaces, the capsuloligamentous system, and the musculotendinous system [1].
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Three-dimensional lateral tilt can be a good assessment of lateral patellar maltracking
To investigate the correlation between patellar tilt and shift based on 4D-CT scans, and compare the value of 2D and 3D parameters in evaluating lateral patellar maltracking in patients with patella dislocation.
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Influence of scanning parameters on image Quality, and repeatability of renal Blood oxygenation level-dependent Imaging: A Preliminary study on 5 T MRI
To investigate the influence of scanning parameters on image quality and the repeatability of renal Blood Oxygen Level-Dependent (BOLD) imaging at 5 T.
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Deep-learning reconstructed 3D MRI for comprehensive knee assessment: Comparison with a multisequence 2D protocol at 1.5 T
Magnetic resonance imaging (MRI) is the most frequently utilized cross-sectional imaging technique for assessing knee pain and injuries due to its excellent soft tissue contrast, particularly valuable for diagnosing abnormalities in the menisci, ligaments, and cartilage [1]. Standard clinical knee MRI primarily relies on two-dimensional (2D), multiplanar fast spin-echo (FSE) sequences with different combinations of contrasts, fat suppression and orientations, enabling efficient data acquisition …
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Longitudinal changes in tumor morphology and body composition following neoadjuvant chemotherapy predict progression-free survival in adenocarcinoma of the esophagogastric junction: A multi-center study
Adenocarcinoma of the esophagogastric junction (AEG) is an aggressive malignancy associated with poor prognosis, exhibiting increasing global incidence particularly in Western countries and East Asia [1–3]. While neoadjuvant chemotherapy (NAC) combined with surgical resection has become the standard therapeutic approach for locally advanced AEG, postoperative recurrence rates remain substantial, with 5-year survival rates below 40 % [4–6]. A study retrospectively analyzed 334 patients with esoph…
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Gray matter microstructural abnormalities in temporal lobe epilepsy with hippocampal sclerosis and MRI negative
To assess the changes of cortical microstructure in patients with temporal lobe epilepsy combined with hippocampal sclerosis (TLE-HS) and MRI-negative TLE (negative-TLE) and its correlation with clinical characteristics.
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Reduced-dose dual-energy CT with deep learning image reconstruction for detection and characterization of liver metastases
Liver metastases are a prevalent and critical determinant of prognosis in cancer patients. Early and accurate detection of liver metastases is crucial, as it directly influences treatment decisions and patient outcomes. In clinical practice, contrast-enhanced CT is a primary modality for liver imaging, enabling both staging and surveillance of malignancies at risk for hepatic spread. However, conventional single-energy CT (SECT) often struggles to detect small or subtle lesions, particularly in …
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Deep learning in abdominopelvic digital subtraction angiography: a systematic review of interventional radiology applications
Deep learning (DL) is increasingly integrated into clinical workflows [1]. Interventional radiology (IR), which relies on imaging for procedural guidance, can potentially benefit from these advancements [2]. Automated image analysis, noise reduction, motion correction, and real-time anomaly detection could enhance precision. These algorithms may optimize pre-procedural planning, enable more accurate vessel segmentation, improve detection of vascular abnormalities, enable real-time guidance durin…
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Does BMI influence AI and human reader lung nodule detection in low-dose chest CT?
Accurate lung nodule detection in low-dose CT (LDCT) is a prerequisite for the implementation of effective lung cancer screening programs [1]. Furthermore, also in clinical setting, the incidence and detection rate of pulmonary nodules has increased over the years [2], resulting in more work within the radiological workflow. Artificial Intelligence (AI) solutions have gained traction due to their potential of assisting radiologists in nodule evaluation in both settings. Given that most of these …