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Evaluating the feasibility of AI-predicted bpMRI image features for predicting prostate cancer aggressiveness: a multi-center study
Evaluating the feasibility of AI-predicted bpMRI image features for predicting prostate cancer aggressiveness: a multi-center study
To evaluate the feasibility of utilizing artificial intelligence (AI)-predicted biparametric MRI (bpMRI) image features fo...
Thoracolumbar fascia ultrasound shear strain differs between low back pain and asymptomatic individuals: expanding the evidence
Thoracolumbar fascia ultrasound shear strain differs between low back pain and asymptomatic individuals: expanding the evidence
To compare thoracolumbar fascia (TLF) shear strain between individuals with and without nonspecific low back pain (NSLBP),...
Diagnostic performance of CT for extrarenal fat invasion in renal cell carcinoma: a meta-analysis and systematic review
Diagnostic performance of CT for extrarenal fat invasion in renal cell carcinoma: a meta-analysis and systematic review
Renal cell carcinoma (RCC) with extrarenal fat (perinephric or renal sinus fat) invasion is the main evidence for the T3a ...
Enhancing safety in CT-guided lung biopsies: correlation of MinIP imaging with pneumothorax risk prediction
Enhancing safety in CT-guided lung biopsies: correlation of MinIP imaging with pneumothorax risk prediction
This study aimed to evaluate whether minimum-intensity projection (MinIP) images could predict complications in CT-guided ...
Critical reflection on the indication for computed tomography: an interdisciplinary survey of risk and benefit management in patients with sepsis
Critical reflection on the indication for computed tomography: an interdisciplinary survey of risk and benefit management in patients with sepsis
To survey physicians’ views on the risks and benefits of computed tomography (CT) in the management of septic patien...
Automatic segmentation model and machine learning model grounded in ultrasound radiomics for distinguishing between low malignant risk and intermediate-high malignant risk of adnexal masses
Automatic segmentation model and machine learning model grounded in ultrasound radiomics for distinguishing between low malignant risk and intermediate-high malignant risk of adnexal masses
To develop an automatic segmentation model to delineate the adnexal masses and construct a machine learning model to diffe...
Characterization of adrenal glands on computed tomography with a 3D V-Net-based model
Characterization of adrenal glands on computed tomography with a 3D V-Net-based model
To evaluate the performance of a 3D V-Net-based segmentation model of adrenal lesions in characterizing adrenal glands as ...
Efficacy of bolus injections of landiolol hydrochloride as premedication in coronary artery CT angiography
Efficacy of bolus injections of landiolol hydrochloride as premedication in coronary artery CT angiography
To assess the efficacy of bolus injections of landiolol hydrochloride as premedication in coronary artery CT angiography (...
Ultra-low dose dual-layer detector spectral CT for pulmonary nodule screening: image quality and diagnostic performance
Ultra-low dose dual-layer detector spectral CT for pulmonary nodule screening: image quality and diagnostic performance
To investigate the image quality and diagnostic performance with ultra-low dose dual-layer detector spectral CT (DLSCT) by...
Decreased attenuation difference between non-contrast and portal-venous phases of CT predicts the ultrasonography-unspecified adnexal torsion
Decreased attenuation difference between non-contrast and portal-venous phases of CT predicts the ultrasonography-unspecified adnexal torsion
To evaluate the value of contrast-enhanced CT in diagnosing ultrasonography-unspecified adnexal torsion (AT). Surgically c...
Application of deep learning model based on unenhanced chest CT for opportunistic screening of osteoporosis: a multicenter retrospective cohort study
Application of deep learning model based on unenhanced chest CT for opportunistic screening of osteoporosis: a multicenter retrospective cohort study
A large number of middle-aged and elderly patients have an insufficient understanding of osteoporosis and its harm. This s...
Fluoroscopy-guided aspiration of the acutely dislocated total hip arthroplasty: a feasible, high-yield, and safe procedure
Fluoroscopy-guided aspiration of the acutely dislocated total hip arthroplasty: a feasible, high-yield, and safe procedure
To determine the feasibility, yield, and safety of fluoroscopic-guided aspiration of the acutely dislocated total hip arth...
Integrating CT-based radiomics and clinical features to better predict the prognosis of acute pancreatitis
Integrating CT-based radiomics and clinical features to better predict the prognosis of acute pancreatitis
To develop and validate the performance of CT-based radiomics models for predicting the prognosis of acute pancreatitis. A...
Analysis of spatial patellofemoral alignment using novel three-dimensional measurements based on weight-bearing cone-beam CT
Analysis of spatial patellofemoral alignment using novel three-dimensional measurements based on weight-bearing cone-beam CT
To propose a reliable and standard 3D assessment method to analyze the effect of weight-bearing (WB) status on the locatio...
Diagnostic value of dual-layer spectral detector CT parameters for differentiating high- from low-grade bladder cancer
Diagnostic value of dual-layer spectral detector CT parameters for differentiating high- from low-grade bladder cancer
This study aimed to investigate the diagnostic value of spectral parameters of dual-layer spectral detector computed tomog...
Comparative evaluation of non-contrast MRI versus gadoxetic acid-enhanced abbreviated protocols in detecting colorectal liver metastases
Comparative evaluation of non-contrast MRI versus gadoxetic acid-enhanced abbreviated protocols in detecting colorectal liver metastases
This study compares the diagnostic efficacy of non-contrast abbreviated MRI protocols with Gadoxetic acid-enhanced abbrevi...
Application and progress of non-invasive imaging in predicting lung invasive non-mucinous adenocarcinoma under the new IASLC grading guidelines
Application and progress of non-invasive imaging in predicting lung invasive non-mucinous adenocarcinoma under the new IASLC grading guidelines
Lung cancer is the leading cause of cancer-related deaths worldwide, with invasive non-mucinous adenocarcinoma (INMA) bein...
Introducing an index on prediction of post-revascularization cerebral infarction using preoperative CT perfusion parameters in moyamoya disease
Introducing an index on prediction of post-revascularization cerebral infarction using preoperative CT perfusion parameters in moyamoya disease
To determine the value of preoperative CT perfusion (CTP) parameters for prediction of post-revascularization cerebral inf...
The value of restriction spectrum imaging in predicting lymph node metastases in rectal cancer: a comparative study with diffusion-weighted imaging and diffusion kurtosis imaging
The value of restriction spectrum imaging in predicting lymph node metastases in rectal cancer: a comparative study with diffusion-weighted imaging and diffusion kurtosis imaging
To investigate the efficacy of three-compartment restriction spectrum imaging (RSI), diffusion kurtosis imaging (DKI), and...
How can effective communication help radiographers meet the expectations of patients—COMMUNICATION—a joint statement by the ESR & EFRS
How can effective communication help radiographers meet the expectations of patients—COMMUNICATION—a joint statement by the ESR & EFRS
The Patient Advisory Group (PAG) of the European Society of Radiology, in collaboration with the European Federation of Ra...
Deep learning for opportunistic, end-to-end automated assessment of epicardial adipose tissue in pre-interventional, ECG-gated spiral computed tomography
Deep learning for opportunistic, end-to-end automated assessment of epicardial adipose tissue in pre-interventional, ECG-gated spiral computed tomography
Recently, epicardial adipose tissue (EAT) assessed by CT was identified as an independent mortality predictor in patients ...
Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [68Ga]Ga-PSMA-11 PET/MRI
Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [68Ga]Ga-PSMA-11 PET/MRI
Radical prostatectomy (RP) is a common intervention in patients with localized prostate cancer (PCa), with nerve-sparing R...
The top 100 most-cited articles on artificial intelligence in breast radiology: a bibliometric analysis
The top 100 most-cited articles on artificial intelligence in breast radiology: a bibliometric analysis
Artificial intelligence (AI) in radiology is a rapidly evolving field. In breast imaging, AI has already been applied in a...
Fully automated MRI-based convolutional neural network for noninvasive diagnosis of cirrhosis
Fully automated MRI-based convolutional neural network for noninvasive diagnosis of cirrhosis
To develop and externally validate a fully automated diagnostic convolutional neural network (CNN) model for cirrhosis bas...
CT imaging findings of invasive pulmonary fungal infections in hemato-oncologic children
CT imaging findings of invasive pulmonary fungal infections in hemato-oncologic children
Hemato-oncologic children form a heterogeneous group with a wide spectrum of ages, malignancy types, and immunosuppression...
Pediatric menisci: normal aspects, anatomical variants, lesions, tears, and postsurgical findings
Pediatric menisci: normal aspects, anatomical variants, lesions, tears, and postsurgical findings
The reported incidence of meniscal tears in the pediatric age group has increased because of increased sports participatio...
A multi-scene deep learning model for automated segmentation of acute vertebral compression fractures from radiographs: a multicenter cohort study
A multi-scene deep learning model for automated segmentation of acute vertebral compression fractures from radiographs: a multicenter cohort study
To develop a multi-scene model that can automatically segment acute vertebral compression fractures (VCFs) from spine radi...
MRI analysis of relative tumor enhancement in liver metastases and correlation with immunohistochemical features
MRI analysis of relative tumor enhancement in liver metastases and correlation with immunohistochemical features
Investigate the association between the relative tumor enhancement (RTE) of gadoxetic acid across various MRI phases and i...
Development and validation of a model based on preoperative dual-layer detector spectral computed tomography 3D VOI-based quantitative parameters to predict high Ki-67 proliferation index in pancreatic ductal adenocarcinoma
Development and validation of a model based on preoperative dual-layer detector spectral computed tomography 3D VOI-based quantitative parameters to predict high Ki-67 proliferation index in pancreatic ductal adenocarcinoma
To develop and validate a model integrating dual-layer detector spectral computed tomography (DLCT) three-dimensional (3D)...
Assessment of vascular invasion of pancreatic ductal adenocarcinoma based on CE-boost black blood CT technique
Assessment of vascular invasion of pancreatic ductal adenocarcinoma based on CE-boost black blood CT technique
To explore the diagnostic efficacy of advanced intelligent clear-IQ engine (AiCE) and adaptive iterative dose reduction 3D...
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