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Dual-layer spectral-detector CT for predicting microsatellite instability status and prognosis in locally advanced gastric cancer
Dual-layer spectral-detector CT for predicting microsatellite instability status and prognosis in locally advanced gastric cancer
To construct and validate a prediction model based on dual-layer detector spectral CT (DLCT) and clinico-radiologic featur...
CT-derived extracellular volume and liver volumetry can predict posthepatectomy liver failure in hepatocellular carcinoma
CT-derived extracellular volume and liver volumetry can predict posthepatectomy liver failure in hepatocellular carcinoma
Posthepatectomy liver failure (PHLF) is a severe complication of liver resection. We aimed to develop and validate a model...
Differentiation of pulmonary solid nodules attached to the pleura detected by thin-section CT
Differentiation of pulmonary solid nodules attached to the pleura detected by thin-section CT
Pulmonary solid pleura-attached nodules (SPANs) are not very commonly detected and thus not well studied and understood. T...
Pictorial essay: MRI evaluation of endometriosis-associated neoplasms
Pictorial essay: MRI evaluation of endometriosis-associated neoplasms
Endometriosis is a frequent pathology mostly affecting women of young age. When typical aspects are present, the diagnosis...
Dissemination of endometrial cancer MRI staging guidelines among young radiologists: an ESUR Junior Network survey
Dissemination of endometrial cancer MRI staging guidelines among young radiologists: an ESUR Junior Network survey
Imaging guidelines could play an important role in the training of radiologists, but the extent of their adoption in resid...
Development and validation of core entrustable professional activities for abdominal radiology
Development and validation of core entrustable professional activities for abdominal radiology
To develop and validate European entrustable professional activities (EPAs) for sub-specialised hepatobiliary and gastroin...
An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images
An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images
This study focuses on assessing the performance of active learning techniques to train a brain MRI glioma segmentation mod...
Reply to Letter to the editor: “Utilization of CT and MRI scanning in Taiwan, 2000–2017”
Reply to Letter to the editor: “Utilization of CT and MRI scanning in Taiwan, 2000–2017”
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, whi...
Diagnostic performance of prediction models for extraprostatic extension in prostate cancer: a systematic review and meta-analysis
Diagnostic performance of prediction models for extraprostatic extension in prostate cancer: a systematic review and meta-analysis
In recent decades, diverse nomograms have been proposed to predict extraprostatic extension (EPE) in prostate cancer (PCa)...
Resident education in radiology in Europe including entrustable professional activities: results of an ESR survey
Resident education in radiology in Europe including entrustable professional activities: results of an ESR survey
Entrustable professional activity (EPA) is a tool for comprehensively evaluating the level of confidence in resident perfo...
Differences in the position of endometriosis-associated and non-associated ovarian cancer relative to the uterus
Differences in the position of endometriosis-associated and non-associated ovarian cancer relative to the uterus
Preoperative assessment of the histological type of ovarian cancer is essential to determine the appropriate treatment str...
Comparison of sound touch elastography and quantification for assessing the renal pathologic changes in patients with proteinuria
Comparison of sound touch elastography and quantification for assessing the renal pathologic changes in patients with proteinuria
Sound touch elastography (STE) and sound touch quantification (STQ) are novel imaging methods to evaluate tissue stiffness...
CT and MRI imaging in Sweden: retrospective appropriateness analysis of large referral samples
CT and MRI imaging in Sweden: retrospective appropriateness analysis of large referral samples
The numbers of computed tomography (CT) and magnetic resonance imaging (MRI) examinations per capita continue to increase ...
Radiomic signatures from T2W and DWI MRI are predictive of tumour hypoxia in colorectal liver metastases
Radiomic signatures from T2W and DWI MRI are predictive of tumour hypoxia in colorectal liver metastases
Tumour hypoxia is a negative predictive and prognostic biomarker in colorectal cancer typically assessed by invasive sampl...
Pancreatic CT perfusion: quantitative meta-analysis of disease discrimination, protocol development, and effect of CT parameters
Pancreatic CT perfusion: quantitative meta-analysis of disease discrimination, protocol development, and effect of CT parameters
This study provides a quantitative meta-analysis of pancreatic CT perfusion studies, investigating choice of study paramet...
Response to: American College of Radiology Appropriateness Criteria®: A bibliometric analysis of panel members
Response to: American College of Radiology Appropriateness Criteria®: A bibliometric analysis of panel members
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, whi...
An interpretable MRI-based radiomics model predicting the prognosis of high-intensity focused ultrasound ablation of uterine fibroids
An interpretable MRI-based radiomics model predicting the prognosis of high-intensity focused ultrasound ablation of uterine fibroids
Accurate preoperative assessment of the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine fibroids...
Radiomics-based fertility-sparing treatment in endometrial carcinoma: a review
Radiomics-based fertility-sparing treatment in endometrial carcinoma: a review
In recent years, with the increasing incidence of endometrial carcinoma in women of child-bearing age, to decision of whet...
Preoperative prediction of Lauren classification in gastric cancer: a radiomics model based on dual-energy CT iodine map
Preoperative prediction of Lauren classification in gastric cancer: a radiomics model based on dual-energy CT iodine map
To investigate the value of a radiomics model based on dual-energy computed tomography (DECT) venous-phase iodine map (IM)...
AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis
AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis
Contrast-enhancing (CE) lesions are an important finding on brain magnetic resonance imaging (MRI) in patients with multip...
Whole-body low-dose CT can be of value in prostate cancer decision-making: a retrospective study on 601 patients
Whole-body low-dose CT can be of value in prostate cancer decision-making: a retrospective study on 601 patients
To evaluate the diagnostic value of whole-body low-dose computed tomography (CT) to detect bone metastasis in prostate can...
CT and chest radiography in evaluation of mechanical circulatory support devices for acute heart failure
CT and chest radiography in evaluation of mechanical circulatory support devices for acute heart failure
Acute heart failure and cardiogenic shock are a major cause of morbidity and mortality in patients who have had recent car...
Infection prevention and control in the medical imaging environment: a scoping review
Infection prevention and control in the medical imaging environment: a scoping review
Infection prevention and control (IPC) practices are key to preventing and controlling the spread of pathogens in medical ...