European Congress of Radiology 2020
July 15 – 19, 2020, Virtual Edition
ECR 2020 article collection - updated
View our updated ECR2020 article collection published in Elsevier’s radiology, radiography, nuclear medicine and medical physics journals. All articles in the collection are free to access online until October 31st 2020.
Artificial intelligence in medicine has made dramatic progress in recent years. However, much of this progress is seemingly scattered, lacking a cohesive structure for the discerning observer. In this article, we will provide an up-to-date review of artificial intelligence in medicine, with a specific focus on its application to radiology, pathology, ophthalmology, and dermatology. We will discuss a range of selected papers that illustrate the potential uses of artificial intelligence in a technologically advanced future.
Clinical ImagingView abstract
Intrathoracic accessory lobes of the liver are exceedingly rare and usually found incidentally in asymptomatic patients. Its diagnosis poses a real challenge for radiologists due to its rarity, location and rounded solid mass appearance.
Clinical RadiologyView abstract
To assess the ability of dual-energy computed tomography (DECT) to distinguish benign from malignant ovarian tumours (OTs).
Diagnostic and Interventional ImagingView abstract
The purpose of this study was to perform a systematic review of current literature describing the efficacy and technical outcomes of transarterial liver therapies using automated feeder detection (AFD) software.
European Journal of RadiologyView abstract
Patients with hematuria and renal colic often undergo CT scanning. The purpose of our study was to assess variations in CT protocols and radiation doses for evaluation of hematuria and urinary stones in 20 countries.
European Journal of Radiology OpenView abstract
The purpose of this study was to assess the differences of magnetic resonance features between tuberculous and bacterial pyomyositis.
Journal of the American College of RadiologyView abstract
We read with much interest the thoughtful article by Mazurowski, “Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce,” which concludes that commonly held opinions among “AI skeptics” describing artificial intelligence (AI) algorithms as a tool that will assist rather than replace radiologists are unsubstantiated and “do not provide sufficient evidence that there will be no significant disruption in the radiology workforce due to AI”. Somewhat ironically, the article describes “AI optimists” as those who believe “AI will perform radiologists’ work at least as well as humans—and do it much faster and cheaper—so there will be no reason to pay radiologists”. In this commentary, we provide a different outlook about the future of radiology in the era of AI.
Journal of NeuroradiologyView abstract
Imaging plays a major role in the comprehensive assessment of posterior fossa tumor in children (PFTC). The objective is to propose a global method relying on the combined analysis of radiological, clinical and epidemiological criteria, (taking into account the child's age and the topography of the lesion) in order to improve our histological approach in imaging, helping the management and approach for surgeons in providing information to the patients’ parents. Infratentorial tumors are the most frequent in children, representing mainly medulloblastoma, pilocytic astrocytoma and brainstem glioma. Pre-surgical identification of the tumor type and its aggressiveness could be improved by the combined analysis of key imaging features with epidemiologic data.
Journal of Vascular and Interventional Radiology
Risk of Death and Amputation with Use of Paclitaxel-Coated Balloons in the Infrapopliteal Arteries for Treatment of Critical Limb Ischemia: A Systematic Review and Meta-Analysis of Randomized Controlled TrialsView abstract
A formal systematic review and study-level meta-analysis of randomized controlled trials investigating treatment of the infrapopliteal arteries with paclitaxel-coated balloons compared with conventional balloon angioplasty for critical limb ischemia (CLI) was conducted. Medical databases and online content were last screened in September 2019. The primary safety and efficacy endpoint was amputation-free survival defined as freedom from all-cause death and major amputation. Target lesion revascularization (TLR) constituted a secondary efficacy endpoint. Summary effects were synthesized with a random-effects model. Some 8 randomized controlled trials with 1,420 patients (97% CLI) were analyzed up to 1 year follow-up. Amputation-free survival was significantly worse in case of paclitaxel (13.7% crude risk of death or limb loss compared to 9.4% in case of uncoated balloon angioplasty; hazard ratio 1.52; 95% confidence interval: 1.12–2.07, p = .008). TLR was significantly reduced in case of paclitaxel (11.8% crude risk of TLR versus 25.6% in control; risk ratio 0.53; 95% confidence interval: 0.35–0.81, p = .004). The harm signal was evident when examining the high-dose (3.0-3.5 μg/mm2) devices, but attenuated below significance in case of a low-dose (2.0 μg/mm2) device. Actual causes remain largely unknown, but non-target paclitaxel embolization is a plausible mechanism.
Physica MedicaView abstract
To develop a phantom for methodological radiomic investigation on Magnetic Resonance (MR) images of female patients affected by pelvic cancer.
The author of this paper gives an overview about the evolution of radiography education in Portugal and reflects about the importance of Radiographer-led research, especially in the field of radiation protection and its impact in clinical practice.