Results 11 to 20 of about 240,436 (283)

Radiographers supporting radiologists in the interpretation of screening mammography: a viable strategy to meet the shortage in the number of radiologists. [PDF]

open access: yes, 2015
BackgroundAn alternative approach to the traditional model of radiologists interpreting screening mammography is necessary due to the shortage of radiologists to interpret screening mammograms in many countries.MethodsWe evaluated the performance of 15 ...
A Mohar   +57 more
core   +1 more source

Juxta-articular myxoma of the wrist

open access: yesSouth African Journal of Radiology, 2014
This case report describes a juxta-articular myxoma(JAM) in an uncommon location, demonstrating an unusually aggressive local growth pattern.
Andrew J. van den Heever
doaj   +1 more source

Macrodystrophia lipomatosa

open access: yesSouth African Journal of Radiology, 2014
Macrodystrophia lipomatosa (MDL) is a rare congenital, but non-hereditary, form of localised gigantism of the fingers or toes. The hallmark of the condition is hypertrophy of all mesenchymal elements in the involved region, with a predominance of fibro ...
Andrew J. van den Heever
doaj   +1 more source

Systolic function evaluated with cardiovascular magnetic resonance imaging in HIV-infected patients

open access: yesSouth African Journal of Radiology, 2016
Background: Of all areas worldwide, sub-Saharan Africa is worst affected by the HIV and/or AIDS epidemic. Cardiovascular manifestations are very common and are a powerful contributor to mortality, but often go undetected.
Leonie Scholtz   +6 more
doaj   +1 more source

CT/MRI LI-RADS v2017 : review of the guidelines [PDF]

open access: yes, 2018
The Liver Imaging-Reporting and Data System (LI-RADS or LR) is a classification system for reading and reporting imaging studies in patients with high risk for hepatocellular carcinoma (HCC).

core   +1 more source

The choice of gadolinium-based contrast agents: a radiologist’s responsibility between pharmaceutical equivalence and bioethical issues [PDF]

open access: yes, 2017
Contrast Agents (CA) are among the most commonly prescribed drugs worldwide, and are used, with a variety of techniques, to increase and intensify the differences between body tissues and to help radiologist make diagnoses in a fast and precise way.
Cartocci, Gaia   +5 more
core   +2 more sources

Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection [PDF]

open access: yes, 2019
Accurate pulmonary nodule detection is a crucial step in lung cancer screening. Computer-aided detection (CAD) systems are not routinely used by radiologists for pulmonary nodule detection in clinical practice despite their potential benefits.
Cui, Xiaonan   +5 more
core   +5 more sources

Visual search of experts in medical image reading: The effect of training, target prevalence, and expert knowledge

open access: yesFrontiers in Psychology, 2013
The aims of this study are (a) to determine the effect of training on the multiple-target lesion search performance; and (b) to examine the effect of target prevalence on the performance of radiologists and novices.
Ryoichi eNakashima   +4 more
doaj   +1 more source

Letter to the Editor in response to the Position statement and best practice recommendations on the imaging use of ultrasound from the European Society of Radiology ultrasound subcommittee

open access: yesInsights into Imaging, 2021
This letter to the editor is in response to the consensus statement from the Ultrasound Subcommittee of the European Society of Radiology, the European Union of Medical Specialists (UEMS) Section of Radiology, and the European Federation of Societies for
Chris Kalinka   +7 more
doaj   +1 more source

Comparison of Diagnostic Performance in Mammography Assessment: Radiologist with Reference to Clinical Information Versus Standalone Artificial Intelligence Detection

open access: yesDiagnostics, 2022
We compared diagnostic performances between radiologists with reference to clinical information and standalone artificial intelligence (AI) detection of breast cancer on digital mammography.
Won Jae Choi   +3 more
doaj   +1 more source

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