European Journal of Radiology
IF
2.69
Papers
9255
Papers 9827
1 page of 983 pages (9,827 results)
Newest
OBJECTIVES Imaging features of positron emission tomography (PET)/computed tomography (CT) and contrast-enhanced CT and pathological changes in benign solitary schwannoma were retrospectively analyzed, and the factors associated with high uptake of fluorodeoxyglucose (FDG) were examined. METHODS The PET/CT, contrast-enhanced CT, and pathological results of 58 cases of benign solitary schwannomas confirmed by surgery or biopsy were retrospectively analyzed. The association of each variable with t...
Source
#1Moon Hyung Choi (Catholic University of Korea)H-Index: 12
#2Young Joon Lee (Catholic University of Korea)H-Index: 16
Last. Seong Yong Pak (Siemens)H-Index: 4
view all 4 authors...
Abstract Purpose To evaluate the difference in liver density and to compare the performance to diagnose fatty liver between true noncontrast (TNC) images and virtual noncontrast (VNC) images generated from dual-energy CT (DECT). Materials and methods Patients who underwent liver dynamic DECT and MRI were included (n = 49). Two observers measured the liver and spleen densities on TNC images and three VNC images from the arterial, portal and delayed phases of DECT (VNCa, VNCp and VNCd, respectivel...
Source
#1Daniel Koehler (UHH: University of Hamburg)
#2Ann-Kathrin Ozga (UHH: University of Hamburg)H-Index: 7
Last. Jin Yamamura (UHH: University of Hamburg)H-Index: 17
view all 8 authors...
Abstract Purpose This retrospective study aims to analyze the distribution of demand and the duration of the diagnostic workup of suspected pulmonary embolism (PE) using computed tomography pulmonary angiography (CTPA). Methods Time data from physical examination to report creation were identified for each CTPA in 2013 and 2018 at a tertiary hospital. Multivariable multinomial logistic and linear regression models were used to evaluate differences between 3 time intervals (I1: 6am-2pm, I2: 2pm-1...
Source
#1Shu Chao Wang (Fudan University)
#2Le Kang Yin (SJTU: Shanghai Jiao Tong University)
Last. Jin Wei Qiang (Fudan University)H-Index: 2
view all 8 authors...
Abstract Purpose To evaluate computed tomography (CT) features and establish a predictive model for the clinical diagnosis and prognosis of tracheal adenoid cystic carcinoma (ACC). Method From January 2010 to December 2018, 82 patients with tracheal tumors, including 46 patients with ACC confirmed by surgery and histopathology, were enrolled in this study. These patients’ clinicopathologic information, CT features and survival outcomes were recorded and analyzed. Independent predictors of diagno...
Source
#1Chun Yu Liu (NU: Nanjing University)H-Index: 1
#2Chun Xiang Tang (NU: Nanjing University)H-Index: 9
Last. Meng Jie Lu (NU: Nanjing University)H-Index: 6
view all 0 authors...
Abstract null null Objectives null To investigate the effect of reader experience, calcification and image quality on the performance of deep learning (DL) powered coronary CT angiography (CCTA) in automatically detecting obstructive coronary artery disease (CAD) with invasive coronary angiography (ICA) as reference standard. null null null Methods null A total of 165 patients (680 vessels and 1505 segments) were included in this study. Three sessions were performed in order: (1) The artificial ...
Source
#1Yu Mori (Tohoku University)H-Index: 8
#2Naoko Mori (Tohoku University)H-Index: 10
Last. Toshimi Aizawa (Tohoku University)H-Index: 18
view all 0 authors...
Abstract null null Purpose null To evaluate the effectiveness of a mathematical model for histogram analysis of DCE-MRI in distinguishing responders from non-responders during RA drug treatment. null null null Method null Twenty-three consecutive RA patients with clinically active inflammation prospectively underwent DCE-MRI at baseline and after treatment. Manual segmentation of the enhanced synovium was performed on the last phase of DCE-MRI. The voxel-based contrast enhancement was calculated...
Source
#1Begüm Demirler Şimşir (UCL: Université catholique de Louvain)
#2K. B. KrugH-Index: 6
Last. Emmanuel Coche (UCL: Université catholique de Louvain)H-Index: 30
view all 0 authors...
OBJECTIVES Intramammary mass lesions are reportedly present in up to 5.8% of all contrast enhanced CT-examinations of the female chest. We aimed to assess whether their biological relevance can be estimated using spectral CT-datasets. METHODS In this bicentric retrospective study patients with breast masses visualized on spectral CT-examinations from 07/2017 to 06/2019 were included. Lesions were characterized as malignant or benign based on histology and/or a stable follow-up of >2 years. Conve...
Source
#1Michael Dieckmeyer (TUM: Technische Universität München)H-Index: 12
#2Nithin Manohar Rayudu (SUTD: Singapore University of Technology and Design)H-Index: 4
Last. Karupppasamy Subburaj (SUTD: Singapore University of Technology and Design)
view all 0 authors...
Abstract null null Purpose null In this case-control study, we evaluated different quantitative parameters derived from routine multi-detector computed tomography (MDCT) scans with respect to their ability to predict incident osteoporotic vertebral fractures of the thoracolumbar spine. null null null Methods null 16 patients who received baseline and follow-up contrast-enhanced MDCT and were diagnosed with an incident osteoporotic vertebral fracture at follow-up, and 16 age-, sex-, and follow-up...
Source
#1Tzu-Ming Harry Hsu (Vassar College)
#2Khoschy Schawkat (UZH: University of Zurich)H-Index: 7
Last. Peter Szolovits (Vassar College)H-Index: 59
view all 0 authors...
Abstract null null Background null Body composition is associated with mortality; however its routine assessment is too time-consuming. null null null Purpose null To demonstrate the value of artificial intelligence (AI) to extract body composition measures from routine studies, we aimed to develop a fully automated AI approach to measure fat and muscles masses, to validate its clinical discriminatory value, and to provide the code, training data and workflow solutions to facilitate its integrat...
Source
#1Jasmin Gmeiner (Medical University of Vienna)H-Index: 1
#2Nathalie Garstka (Medical University of Vienna)H-Index: 3
Last. Pascal A. T. Baltzer (Medical University of Vienna)H-Index: 42
view all 0 authors...
Abstract null null Purpose null To investigate the diagnostic performance of the overall Vesical Imaging Reporting and Data System (VI-RADS) score and its individual magnetic resonance imaging (MRI) parameters in assessing grade and muscle invasiveness of bladder cancer (BC). null null null Methods null This IRB-approved retrospective, single-center, cross-sectional study included patients with BC wo underwent 3 Tesla preoperative multiparametric (mp)-MRI including T2-weighted (T2w), diffusion w...
Source
12345678910
Top fields of study
Radiology
Surgery
Pathology
Magnetic resonance imaging
Nuclear medicine
Medicine