March 3, 16:00 - 17:30 CETUltrasound
| Liver | emergency | MSK | Prostate
PC 16 - Professional challenges in ultrasoundAdrian Brady, Cork / Ireland
Panel discussion: Role of non-radiologist in ultrasound practice
Advanced measurements in liver disease: who should lead?Adrian K.P. Lim, London / UKLearning Objectives
1. To understand the current advances of ultrasound for assessment of the liver.
2. To understand the clinical value and limitations of ultrasonic measurement for assessing chronic liver disease.
3. To understand the importance of a symbiosis between manufacturers, imaging researchers and clinicians for advancing these technologies as a clinical tool.
On-call ultrasound: is this needed?Thomas Fischer, Berlin / Germany
1. To learn that night call represents a crucial educational experience for radiology residents.
2. To understand that intensive "pre-call" training rotation to improve scanning skills is important.
3. To provide interpretations of CT and ultrasound together in emergency cases.
Musculoskeletal ultrasound: are advanced practitioners the answer?Keshthra Satchithananda, London / UK
1. To address who can and what training is needed to deliver this service.
2. To look at who can train this group.
3. To understand the governance and oversight for the safe delivery of services.
4. To point out limitations of the practice.
Prostate biopsy: for urology only?Jean-Michel Correas, Paris / France
1. To understand the concept of multiparametric ultrasound (US), especially for prostate imaging.
2. To understand the added value of combined reading of MRI and US.
3. To understand the role of fusion imaging using MRI and US for prostate biopsy.
Professional challenges in ultrasound - ESR Connect (myesr.org)
March 5, 13:00 - 14:30 CETCT
| Cardiac | PIQE
RPS 2503 - Artificial intelligence in cardiovascular imagingImpact of super resolution deep learning reconstruction with 1024 matrix in potential CAD-RADS 3 lesions: retrospective analysis of 50 casesMickaël Ohana, Schiltigheim / FrancePurpose:
CAD-RADS 3 lesion in Coronary CT Angiography (CCTA) is defined as an intermediate (50-69%) stenosis. Whether the use of a Super Resolution Deep Learning Reconstruction (SR-DLR) algorithm could modify the adjudication of these intermediate lesions, particularly when heavily calcified, is unknown. Our primary objective is therefore to compare the classification of potential CAD-RADS 3 lesions by expert readers when using conventional DLR with a 512 matrix (i.e. current reference standard) and SR-DLR with a 1024 matrix.
Artificial intelligence in cardiovascular imaging - ESR Connect (myesr.org)