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Machine learning for the automatic assessment of aortic rotational flow and wall shear stress from 4D flow cardiac magnetic resonance imaging
Machine learning for the automatic assessment of aortic rotational flow and wall shear stress from 4D flow cardiac magnetic resonance imaging
Three-dimensional (3D) time-resolved phase-contrast cardiac magnetic resonance (4D flow CMR) allows for unparalleled quant...
Preoperative prediction of inadvertent enterotomy during adhesive small bowel obstruction surgery using combination of CT features
Preoperative prediction of inadvertent enterotomy during adhesive small bowel obstruction surgery using combination of CT features
The purpose of this study was to identify the preoperative CT features that are associated with inadvertent enterotomy (IE...
Optimising CT-guided biopsies of sclerotic bone lesions in cancer patients
Optimising CT-guided biopsies of sclerotic bone lesions in cancer patients
Investigate the laboratory, imaging and procedural factors that are associated with a tumour-positive and/or NGS-feasible ...
Incidental findings in brain imaging research: spotlight on ethical considerations
Incidental findings in brain imaging research: spotlight on ethical considerations
Brain imaging has revolutionized our ability to characterize brain structure and function. Since the first use of magnetic...
A novel clinical radiomics nomogram at baseline to predict mucosal healing in Crohn’s disease patients treated with infliximab
A novel clinical radiomics nomogram at baseline to predict mucosal healing in Crohn’s disease patients treated with infliximab
Mucosal healing (MH) is currently the gold standard in Crohn’s disease (CD) management. Noninvasive assessment of MH...
Quantitative and qualitative assessments of deep learning image reconstruction in low-keV virtual monoenergetic dual-energy CT
Quantitative and qualitative assessments of deep learning image reconstruction in low-keV virtual monoenergetic dual-energy CT
To evaluate a novel deep learning image reconstruction (DLIR) technique for dual-energy CT (DECT) derived virtual monoener...
Histopathological components correlated with MRI features and prognosis in combined hepatocellular carcinoma-cholangiocarcinoma
Histopathological components correlated with MRI features and prognosis in combined hepatocellular carcinoma-cholangiocarcinoma
To distinguish MR features according to different proportions of the histopathological hepatocellular carcinoma (HCC) comp...
Correction to: Rotational abnormalities in dysplastic hips and how to predict acetabular torsion
Correction to: Rotational abnormalities in dysplastic hips and how to predict acetabular torsion
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, whi...
ASPECTS-based net water uptake predicts poor reperfusion and poor clinical outcomes in patients with ischemic stroke
ASPECTS-based net water uptake predicts poor reperfusion and poor clinical outcomes in patients with ischemic stroke
To investigate the value of automated Alberta Stroke Program Early CT Score (ASPECTS)-based net water uptake (NWU) to pred...
Novel MRI signs of ruptured disc in the cervical spine with intraoperative comparisons
Novel MRI signs of ruptured disc in the cervical spine with intraoperative comparisons
To evaluate the diagnostic performance of two novel MRI signs for extruded disc (ED) and uncontained ED (ruptured disc, RD...
Functional nodules in primary aldosteronism: identification of CXCR4 expression with 68Ga-pentixafor PET/CT
Functional nodules in primary aldosteronism: identification of CXCR4 expression with 68Ga-pentixafor PET/CT
We analyzed the diagnostic efficiency of 68Ga-pentixafor PET/CT for functional nodules in primary aldosteronism (PA). Furt...
Using ultrasound radiomics analysis to diagnose cervical lymph node metastasis in patients with nasopharyngeal carcinoma
Using ultrasound radiomics analysis to diagnose cervical lymph node metastasis in patients with nasopharyngeal carcinoma
This study aimed to explore the clinical value of ultrasound radiomics analysis in the diagnosis of cervical lymph node me...
Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI
Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI
To develop a visual ensemble selection of deep convolutional neural networks (CNN) for 3D segmentation of breast tumors us...
Renal lesion characterization: clinical utility of single-phase dual-energy CT compared to MRI and dual-phase single-energy CT
Renal lesion characterization: clinical utility of single-phase dual-energy CT compared to MRI and dual-phase single-energy CT
To assess the impact of dual-energy CT (DECT) utilization in practice by measuring the readers’ confidence, the need...
Safety and efficacy of RFA versus MWA for T1a renal cell carcinoma: a propensity score analysis
Safety and efficacy of RFA versus MWA for T1a renal cell carcinoma: a propensity score analysis
Percutaneous radiofrequency ablation (RFA) is stated as a treatment option for renal cell carcinoma (RCC) smaller than 4 c...
Nomogram based on high-frequency shear wave elastography (SWE) to evaluate chronic changes after kidney transplantation
Nomogram based on high-frequency shear wave elastography (SWE) to evaluate chronic changes after kidney transplantation
To construct a nomogram with high-frequency shear wave elastography (SWE) as a noninvasive method to accurately assess chr...
Unsupervised machine learning identifies predictive progression markers of IPF
Unsupervised machine learning identifies predictive progression markers of IPF
To identify and evaluate predictive lung imaging markers and their pathways of change during progression of idiopathic pul...