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1,217 Result(s)
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Article
Prediction of microvascular invasion in hepatocellular carcinoma patients with MRI radiomics based on susceptibility weighted imaging and T2-weighted imaging
The accurate identification of microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) is of great clinical importance.
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Article
Intraindividual comparison of CT and MRI for predicting vessels encapsulating tumor clusters in hepatocellular carcinoma
To establish and validate scoring models for predicting vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC) using computed tomography (CT) and magnetic resonance imaging (MRI), and to...
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Article
Open AccessThe value of deep learning-based X-ray techniques in detecting and classifying K-L grades of knee osteoarthritis: a systematic review and meta-analysis
Knee osteoarthritis (KOA), a prevalent degenerative joint disease, is primarily diagnosed through X-ray imaging. The Kellgren-Lawrence grading system (K-L) is the gold standard for evaluating KOA severity thro...
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Article
Ultra-high b-value DWI in rectal cancer: image quality assessment and regional lymph node prediction based on radiomics
This study aims to evaluate image quality and regional lymph node metastasis (LNM) in patients with rectal cancer (RC) on multi-b-value diffusion-weighted imaging (DWI).
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The impact of lipoprotein(a) level on cardiac pathologies in diabetes: a cardiac CT study
We aimed to explore the imaging profile of coronary atherosclerosis, perivascular inflammation, myocardial perfusion, and interstitial fibrosis in diabetes stratified by lipoprotein(a) [Lp(a)] levels.
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Article
3D-CEUS/MRI–CEUS fusion imaging vs 2D-CEUS after locoregional therapies for hepatocellular carcinoma: a multicenter prospective study of therapeutic response evaluation
To compare the diagnostic accuracy of 3D contrast-enhanced ultrasound (CEUS)/MRI–CEUS fusion imaging with 2D-CEUS in assessing the response of hepatocellular carcinoma (HCC) to locoregional therapies in a mult...
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Article
Optimizing coronary CT angiography quality with motion-compensated reconstruction for second-generation dual-layer spectral detector CT
To investigate the effect of motion-compensated reconstruction (MCR) algorithm on improving the image quality of coronary computed tomography angiography (CCTA) using second-generation dual-layer spectral dete...
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Breast lesions on MRI in mass and non-mass enhancement: Kaiser score and modified Kaiser score + for readers of variable experience
To compare the diagnostic performance of three readers using BI-RADS and Kaiser score (KS) based on mass and non-mass enhancement (NME) lesions.
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Article
An unenhanced 3D-FLAIR sequence using long repetition time and constant flip angle to image endolymphatic hydrops
To evaluate a three-dimensional fluid-attenuated inversion recovery (3D-FLAIR) sequence using a long repetition time (TR) and constant flip angle (CFA) in differentiating between perilymph and endolymph in a p...
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Article
Open AccessDifferentiating between benign and malignant breast lesions using dual-energy CT-based model: development and validation
To develop and validate a dual-energy CT (DECT)-based model for noninvasively differentiating between benign and malignant breast lesions detected on DECT.
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Article
Prediction of tumor regression grade in far-advanced gastric cancer after preoperative immuno-chemotherapy using dual-energy CT-derived extracellular volume fraction
This study examines the effectiveness of dual-energy CT (DECT) delayed-phase extracellular volume (ECV) fraction in predicting tumor regression grade (TRG) in far-advanced gastric cancer (FAGC) patients receiv...
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Article
Ultrasound-guided percutaneous radiofrequency ablation versus surgery for solitary T1N0M0 papillary thyroid carcinoma in the danger triangle
To compare the safety and efficiency of ultrasound-guided percutaneous radiofrequency ablation (RFA) and surgical resection (SR) for thyroid papillary carcinoma (PTC) in the danger triangle area.
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Article
Open AccessHow to update esophageal masses imaging using literature review (MRI and CT features)
MRI offers new opportunities for detailed visualization of the different layers of the esophageal wall, as well as early detection and accurate characterization of esophageal lesions. Staging of esophageal tum...
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Article
Open AccessDetectability of intracranial vessel wall atherosclerosis using black-blood spectral CT: a phantom and clinical study
Computed tomography (CT) is the usual modality for diagnosing stroke, but conventional CT angiography reconstructions have limitations.
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Open AccessQuantitative assessment of preoperative brain development in pediatric congenital heart disease patients by synthetic MRI
This study investigated the quantitative assessment and application of Synthetic MRI (SyMRI) for preoperative brain development in children with congenital heart disease (CHD).
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Open AccessProstate cancer risk assessment and avoidance of prostate biopsies using fully automatic deep learning in prostate MRI: comparison to PI-RADS and integration with clinical data in nomograms
Risk calculators (RCs) improve patient selection for prostate biopsy with clinical/demographic information, recently with prostate MRI using the prostate imaging reporting and data system (PI-RADS). Fully-auto...
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Article
Increased incidence of napkin-ring sign plaques on cervicocerebral computed tomography angiography associated with the risk of acute ischemic stroke occurrence
Carotid atherosclerosis plays an essential role in the occurrence of ischemic stroke. This study aimed to investigate whether a larger burden of napkin-ring sign (NRS) plaques on cervicocerebral computed tomog...
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Article
Associations between atherosclerotic luminal stenosis in the distal internal carotid artery and diffuse wall thickening in its upstream segment
Significant atherosclerotic stenosis or occlusion in the distal internal carotid artery (ICA) may induce diffuse wall thickening (DWT) in the upstream arterial wall. This study aimed to assess the association ...
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Article
Deep learning for malignancy risk estimation of incidental sub-centimeter pulmonary nodules on CT images
To establish deep learning models for malignancy risk estimation of sub-centimeter pulmonary nodules incidentally detected by chest CT and managed in clinical settings.
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Article
Immune-related visual dysfunction in thyroid eye disease: a combined orbital and brain neuroimaging study
To investigate the pathological interplay between immunity and the visual processing system (VPS) in thyroid eye disease (TED).