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Invest in the future: “Hands-on Radiology” summer school
Invest in the future: “Hands-on Radiology” summer school
The field of radiology is currently underestimated by undergraduate medical students. The “Hands-on Radiology”...
Dual-energy CT quantification of extracellular liver volume predicts short-term disease progression in patients with hepatitis B liver cirrhosis-acute decompensation
Dual-energy CT quantification of extracellular liver volume predicts short-term disease progression in patients with hepatitis B liver cirrhosis-acute decompensation
Liver cirrhosis-acute decompensation (LC-AD) has rapid short-term disease progression and difficult early risk stratificat...
A clinical–radiomics model based on noncontrast computed tomography to predict hemorrhagic transformation after stroke by machine learning: a multicenter study
A clinical–radiomics model based on noncontrast computed tomography to predict hemorrhagic transformation after stroke by machine learning: a multicenter study
To build a clinical–radiomics model based on noncontrast computed tomography images to identify the risk of hemorrha...
Improving detection of impacted animal bones on lateral neck radiograph using a deep learning artificial intelligence algorithm
Improving detection of impacted animal bones on lateral neck radiograph using a deep learning artificial intelligence algorithm
We aimed to develop a deep learning artificial intelligence (AI) algorithm to detect impacted animal bones on lateral neck...
Prognostic significance of non-infarcted myocardium correlated with microvascular impairment evaluated dynamically by native T1 mapping
Prognostic significance of non-infarcted myocardium correlated with microvascular impairment evaluated dynamically by native T1 mapping
This study aimed to investigate the influence of microvascular impairment on myocardial characteristic alterations in remo...
Does deep learning software improve the consistency and performance of radiologists with various levels of experience in assessing bi-parametric prostate MRI?
Does deep learning software improve the consistency and performance of radiologists with various levels of experience in assessing bi-parametric prostate MRI?
To investigate whether commercially available deep learning (DL) software improves the Prostate Imaging-Reporting and Data...
Characterization of high-grade prostate cancer at multiparametric MRI: assessment of PI-RADS version 2.1 and version 2 descriptors across 21 readers with varying experience (MULTI study)
Characterization of high-grade prostate cancer at multiparametric MRI: assessment of PI-RADS version 2.1 and version 2 descriptors across 21 readers with varying experience (MULTI study)
To assess PI-RADSv2.1 and PI-RADSv2 descriptors across readers with varying experience. Twenty-one radiologists (7 experie...
Efficient structured reporting in radiology using an intelligent dialogue system based on speech recognition and natural language processing
Efficient structured reporting in radiology using an intelligent dialogue system based on speech recognition and natural language processing
Structured reporting (SR) is recommended in radiology, due to its advantages over free-text reporting (FTR). However, SR u...
New transperineal ultrasound-guided biopsy for men in whom PSA is increasing after Miles’ operation
New transperineal ultrasound-guided biopsy for men in whom PSA is increasing after Miles’ operation
Currently, a prostate biopsy is guided by transrectal ultrasound (US) alone. However, this biopsy cannot be performed in m...
Development and clinical utility analysis of a prostate zonal segmentation model on T2-weighted imaging: a multicenter study
Development and clinical utility analysis of a prostate zonal segmentation model on T2-weighted imaging: a multicenter study
To automatically segment prostate central gland (CG) and peripheral zone (PZ) on T2-weighted imaging using deep learning a...
Development of a simplified model and nomogram in preoperative diagnosis of pediatric chronic cholangitis with pancreaticobiliary maljunction using clinical variables and MRI radiomics
Development of a simplified model and nomogram in preoperative diagnosis of pediatric chronic cholangitis with pancreaticobiliary maljunction using clinical variables and MRI radiomics
The aim of this study was to develop a model that combines clinically relevant features with radiomics signature based on ...
Diagnostic accuracy of ultra-low-dose CT compared to standard-dose CT for identification of non-displaced fractures of the shoulder, knee, ankle, and wrist
Diagnostic accuracy of ultra-low-dose CT compared to standard-dose CT for identification of non-displaced fractures of the shoulder, knee, ankle, and wrist
To compare the performance of ultra-low-dose computed tomography (ULD-CT) with standard-dose computed tomography (SD-CT) f...
Magnetic resonance elastography in evaluation of liver fibrosis in children with chronic liver disease
Magnetic resonance elastography in evaluation of liver fibrosis in children with chronic liver disease
Magnetic resonance elastography (MRE) has been used to stage liver fibrosis in adults. We aimed to assess the agreement be...
Diffusion tensor imaging discriminates focal cortical dysplasia from normal brain parenchyma and differentiates between focal cortical dysplasia types
Diffusion tensor imaging discriminates focal cortical dysplasia from normal brain parenchyma and differentiates between focal cortical dysplasia types
Although diffusion tensor imaging (DTI) may facilitate the identification of cytoarchitectural changes associated with foc...
Multi-algorithms analysis for pre-treatment prediction of response to transarterial chemoembolization in hepatocellular carcinoma on multiphase MRI
Multi-algorithms analysis for pre-treatment prediction of response to transarterial chemoembolization in hepatocellular carcinoma on multiphase MRI
This study compared the accuracy of predicting transarterial chemoembolization (TACE) outcomes for hepatocellular carcinom...
Undergraduate radiology education in Europe in 2022: a survey from the European Society of Radiology (ESR)
Undergraduate radiology education in Europe in 2022: a survey from the European Society of Radiology (ESR)
Education in radiology should be an integral aspect of undergraduate medical training given the essential role of imaging ...
3D whole-heart noncontrast coronary MR angiography based on compressed SENSE technology: a comparative study of conventional SENSE sequence and coronary computed tomography angiography
3D whole-heart noncontrast coronary MR angiography based on compressed SENSE technology: a comparative study of conventional SENSE sequence and coronary computed tomography angiography
The relatively long scan time has hampered the clinical use of whole-heart noncontrast coronary magnetic resonance angiogr...
Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review
Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review
Different noninvasive imaging methods to predict the chance of malignancy of ovarian tumors are available. However, their ...
Inter-vendor and inter-observer reliability of diffusion tensor imaging in the musculoskeletal system: a multiscanner MR study
Inter-vendor and inter-observer reliability of diffusion tensor imaging in the musculoskeletal system: a multiscanner MR study
To evaluate the inter-observer and inter-vendor reliability of diffusion tensor imaging parameters in the musculoskeletal ...
Evaluation of optimal monoenergetic images acquired by dual-energy CT in the diagnosis of T staging of thoracic esophageal cancer
Evaluation of optimal monoenergetic images acquired by dual-energy CT in the diagnosis of T staging of thoracic esophageal cancer
The purpose of our study was to objectively and subjectively assess optimal monoenergetic image (MEI (+)) characteristics ...
Reproducibility of 2D versus 3D radiomics for quantitative assessment of fetal lung development: a retrospective fetal MRI study
Reproducibility of 2D versus 3D radiomics for quantitative assessment of fetal lung development: a retrospective fetal MRI study
To investigate the reproducibility of radiomics features extracted from two-dimensional regions of interest (2D ROIs) vers...
Anatomical variation of the sacroiliac joints: an MRI study with synthetic CT images
Anatomical variation of the sacroiliac joints: an MRI study with synthetic CT images
Synthetic computed tomography (sCT) images are magnetic resonance imaging (MRI)-based images, generated using artificial i...
The use of low-value imaging: the role of referral practice and access to imaging services in a representative area of Norway
The use of low-value imaging: the role of referral practice and access to imaging services in a representative area of Norway
Even though imaging is essential to modern medicine, some examinations are of low value as they do not lead to any change ...
How to establish and use local diagnostic reference levels: an ESR EuroSafe Imaging expert statement
How to establish and use local diagnostic reference levels: an ESR EuroSafe Imaging expert statement
Although the Diagnostic Reference Levels (DRLs) have been shown to be an important tool for optimising patient radiation p...
MRI texture-based machine learning models for the evaluation of renal function on different segmentations: a proof-of-concept study
MRI texture-based machine learning models for the evaluation of renal function on different segmentations: a proof-of-concept study
To develop and validate an MRI texture-based machine learning model for the noninvasive assessment of renal function. A re...
Radiomics-based analysis of CT imaging for the preoperative prediction of invasiveness in pure ground-glass nodule lung adenocarcinomas
Radiomics-based analysis of CT imaging for the preoperative prediction of invasiveness in pure ground-glass nodule lung adenocarcinomas
The purpose of the study is to investigate the performance of radiomics-based analysis in prediction of pure ground-glass ...
“Role of radiology in a multidisciplinary approach to patient care”: summary of the ESR International Forum 2022
“Role of radiology in a multidisciplinary approach to patient care”: summary of the ESR International Forum 2022
At the ESR International Forum 2022, held at ECR 2022 (July 16 in Vienna, Austria) different views, initiatives, and ideas...
Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study
Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study
Artificial intelligence (AI)-enabled applications are increasingly being used in providing healthcare services, such as me...
Utilization of CT and MRI scanning in Taiwan, 2000–2017
Utilization of CT and MRI scanning in Taiwan, 2000–2017
This population-based study aimed to collect, analyze, and summarize the long-term trends in medical imaging use in Taiwan...
MRI of diffuse-type tenosynovial giant cell tumour in the knee: a guide for diagnosis and treatment response assessment
MRI of diffuse-type tenosynovial giant cell tumour in the knee: a guide for diagnosis and treatment response assessment
Tenosynovial giant cell tumour (TGCT) is a rare soft-tissue tumour originating from synovial lining of joints, bursae and ...
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