During the ECR Summer Edition 2022, the ESR members who are registered for ECR, can follow the scientific Research Presentation Sessions. Quite a few of the sessions include scientific evidence on Canon Medical technology.
For your convenience, we have listed all the relevant Research Presentation Sessions with their description and direct link to the ESR Connect program.
When you participate one of the Research Presentation Sessions, let us know your impression through our social channels: LinkedIn, Twitter or Facebook.
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RPS 213-3 - Low-dose lung cancer screening with a novel CZT photon-counting
Thomas Holmes; Atlanta, GA / United States
Purpose or Learning Objective: In this study we investigated the initial image quality of a prototype whole-body photon counting detector (PCD) CT scanner based on cadmium-zinc-telluride technology. PCDs offer improved tissue contrast and lower noise, which make them the prime candidate for low-dose applications such as low-dose lung cancer screening. We assessed non-spectral image quality by assessing PCD-CT images created from all detected photons with energies above 25 keV.
CT | Artificial intelligence and more for vascular imaging
RPS 215-2 - Image quality of deep learning algorithm on head and neck CTA using 100 kVp
Xiaoping Lu, Beijing / China
Purpose or Learning Objective: To assess the image quality of deep learning algorithm (advanced intelligent clear IQ engine, AICE) in head and neck CTA at 100kvp, compared with a new iterative reconstruction (forward projected model based iterative reconstruction solution, FIRST).
Interventional Radiology | Chemoembolisation and radioembolisation of the liver: new developments
RPS 609-2 - Does the use of angio-CT vs cone-beam CT influence the radiation exposure during transarterial chemoembolisation for liver cancer?
Marie Nowak; Lausanne / Switzerland
Purpose or Learning Objective: The use of cone-beam CT (CBCT) has improved the accuracy of image-guided procedures, in particular intra-arterial therapies such as transarterial chemoembolisation (TACE). More recently, a CT-scanner coupled with a C-arm system has been used in this setting to perform angio-CTs. Although these technological evolutions allow for a better image quality and tumour targeting, they also impact patient radiation exposure. The aim of our study was to compare CBCT and CT modalities on patient exposure during TACE for liver cancer.
RPS 610-7 - Comparison of three different positions for bilateral hands non-contrast MR angiography and perfusion
Asako Yamamoto; Tokyo / Japan
Purpose or Learning Objective: To investigate the subject comfort and imaging quality of non-contrast MR angiography (NC-MRA) and -perfusion (NC-MRP) for the bilateral hand MR study in prone over-head (PO), supine over-head (SO), and semi-sitting (SS) positions.
RPS 716-4 - Comparison of performance by whole-body MRI, PET/MRI and PET/CT and conventional staging methods for TNM and VALSG staging of small cell carcinoma patients
Yoshiharu Ohno, Toyoake / Japan
Purpose or Learning Objective: To compare the capabilities for assessment of tumour, node, and metastasis (TNM) and Veterans Administration Lung Cancer Study Group (VALSG) staging of small cell carcinoma (SCLC) patients by whole-body MRI, PET/MRI, PET/CT and conventional staging methods.
RPS 1013-2 - Phantom imaging evaluations of a prototype full-size photon counting CT system at clinical dose levels
Xiaohui Zhan, Vernon Hills / United States
Purpose or Learning Objective: Recent studies have demonstrated that semiconductor-based photon counting CT (PCCT) has the potential to provide better contrast and noise performance compared to conventional scintillator-based systems. With multi-energy threshold detection, it can provide additional spectral information and enable material decomposition to better differentiate different materials. With much smaller detector pixel size, the system can be configured at different pixel summing modes, and generate images with different spatial resolutions.
RPS 1013-4 - Quantitative image quality comparison between a prototype full-size photon counting CT system and conventional CT systems with energy integrating detectors
Keiichi Nomura, Kashiwa / Japan
Purpose or Learning Objective: Photon counting CT (PCCT) has been shown to offer improved contrast and noise performance than traditional CT systems with scintillator-based energy integrating detectors (EID-CT), in addition to its capability of spectral separation and material differentiation due to multi-energy detection and acquisition. In this study, we compare a full-size CdZnTe-based engineering prototype PCCT system with conventional EID-CT systems at similar scan conditions and evaluate image quality in multiple aspects.
RPS 1013-10- Comparison of the virtual monoenergetic image quality obtained with two versions of deep learning image reconstruction algorithm for rapid kV-Switching Dual-Energy CT: a phantom study
Djamel Dabli, Nîmes / France
Purpose or Learning Objective: To compare the image quality of two versions of deep-learning image reconstruction algorithm on virtual monoenergetic images at low-energy levels with rapid kV switching Dual-Energy CT.
RPS 1013-11 - Comparison of virtual monoenergetic imaging between a rapid kilovoltage switching dual-Energy CT with deep-learning and four dual-Energy CTs with iterative reconstruction
Joel Greffier, Nimes / France
Purpose or Learning Objective: To assess the spectral performance of rapid kV switching Dual-Energy CT (KVSCT-Canon) equipped with a Deep-Learning Spectral Reconstruction (DLSR) algorithm on virtual monoenergetic images (VMIs) at low-energy levels and to compare its performances with four other Dual-Energy CT (DECT) platforms equipped with iterative reconstruction algorithms (IR).
CT | Coronary artery CT for diagnosis and prognosis
RPS 1503-5 - Can super resolution deep learning reconstruction upgrade the atheroma burden in CAD-RAS 0-2 patients?
Mickaël Ohana, Schiltigheim / France
Purpose or Learning Objective: In patients with non-obstructive coronary artery disease on coronary CT angiography (CCTA), the overall cardiovascular risk assessment can be based on the Agatston score and/or the number of involved coronary segments. Whether the use of a super resolution deep learning reconstruction (SR-DLR) algorithm could better discriminate minimal coronary atherosclerosis or not is unknown. Our objective is therefore to compare the number of abnormal coronary segments diagnosed on CCTA when using iterative reconstruction (IR), standard deep learning reconstruction (DLR) and SR-DLR.
Ultrasound/CT | Advances in thoracoabdominal and peripheral vascular CT
RPS 1615-9 - Comparison of ultrasound with superb microvascular imaging (SMI), contrast enhanced ultrasound (CEUS) and angio CT (CTA) in the detection of post EVAR endolea
Marco Curti, Pavia / Italy
Purpose or Learning Objective: To evaluate the efficacy doppler ultrasound with superb microvascular imaging (SMI) as an alternative to CEUS and CTA for endoleak detection in patients in follow-up after EVAR.
RPS 2001-3 - Performance of attenuation imaging and two-dimensional shear-wave elastography new technologies in the noninvasive assessment of liver disease
Gloria Ruiz-Fernández, Madrid / Spain
Purpose or Learning Objective:There is an increasing interest in accessible, reliable tools in the non-invasive assessment of liver disease. New, promising technology is under development and validation is needed.
RPS 2313-7 - Advanced physics-based image quality assessment of a commercial super resolution deep learning reconstruction algorithm for cardiac radiology applied to a wide volume computed tomography system
Kirsten Boedeker, Los Angeles, CA / United States
Purpose: Super Resolution Deep Learning Reconstruction (SR-DLR) presents a new and unique image quality performance space. The purpose of this study is to characterise a commercial SR-DLR, relative to conventional hybrid iterative reconstruction, with both standard and advanced metrics for cardiac wide volume CT acquisitions.
RPS 2504-9 - Can deep learning improve image quality of low dose CT: a retrospective study in overweight interstitial lung disease patients
Ruijie Zhao; Beijing / China
Purpose or Learning Objective: To explore whether deep learning reconstruction (DLR) could improve image quality of low dose CT (LDCT) compared with high-resolution CT (HRCT) in overweight interstitial lung disease (ILD) patients.
RPS 2504-10 - Can deep learning keep balance between image quality and radiation dose in interstitial lung disease in prone position CT scanning?
Ruijie Zhao, Beijing / China
Purpose or Learning Objective: To determine whether deep learning reconstruction (DLR) could keep image quality and reduce radiation dose in interstitial lung disease (ILD) patients with prone position scanning.
RPS 2507-11 - Comparison of distinguishing capability from malignant to benign prostatic areas among CEST Imaging, DWI and combined discriminators
Takahiro Ueda; Toyoake, Aichi / Japan
Purpose or Learning Objective: To compare the capability for distinguishing malignant from benign areas among CEST imaging, DWI at standard and super high b values and combined discriminators in suspected prostatic cancer patients.
CT | The importance of epicardial and perivascular fat
RPS 2603-7 - Machine learning-derived radiomics signature of perivascular fat to predict three subtypes of coronary lesions
Jing Yan; Shanghai / China
Purpose or Learning Objective: Perivascular adipose tissue (PCAT) in standard coronary CT angiography(CCTA) has been shown to be associated with coronary inflammation. The aim of this study is to investigate the clinical value of machine learning-derived radiomics signatures in predicting the types of coronary lesions of acute cardiac syndrome (ACS) patients and patients with stable coronary artery disease (CAD).
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