PhD Scientific Days 2023

Clinical Medicine - Posters A

Changes in coronary plaque component volumes comparing different virtual monoenergetic images using photon-counting computed tomography

Előadó neve

Dr. Vattay, Borbála

Neptun code

YJSHVO

Előadó munkahelye

Heart and Vascular Center Semmelweis University

Előadó telefonszáma

+36309013305

Előadó e-mail címe

bori.vattay@gmail.com

Az előadás címe

Changes in coronary plaque component volumes comparing different virtual monoenergetic images using photon-counting computed tomography

Szerző(k) neve és munkahelye

Borbála Vattay1, Bálint Szilveszter1, Melinda Boussoussou1, Milán Vecsey-Nagy1, Andrew Lin2, Gábor Konkoly1, Anikó Kubovje3, Florian Schwarz4, Béla Merkely1, Pál Maurovich-Horvat3, Michelle C. Williams5, Damini Dey2, Márton Kolossváry6
1 Semmelweis University Heart and Vascular Center, Budapest, Hungary
2 Cedars-Sinai Medical Center, Los Angeles, United States of America
3 Semmelweis University, Medical Imaging Center, Budapest, Hungary
4 University Hospital Augsburg, Clinic for Diagnostic and Interventional Radiology and Neuroradiology, Augsburg, Germany
5 University of Edinburgh, Edinburgh, United Kingdom of Great Britain & Northern Ireland
6 Gottsegen György Hungarian Institute Of Cardiology Budapest, Budapest, Hungary

Bemutatás módja

Poszter

Szekció

Clinical Medicine - Posters A

Language of the presentation

Hungarian

Preferred session

Clinical Medicine

Összefoglaló szövege

Introduction: Photon-counting CT (PCCT) allows virtual monoenergetic images (VMIs) which may aid more precise assessment of coronary plaques.

Aims: We aimed to analyze how plaque component volumes change on different VMIs.

Methods: Coronary CT angiography images were acquired using a dual-source PCCT and VMIs were reconstructed between 40-180 keV in 10 keV increments. Polychromatic images at 120 kVp (T3D) were also reconstructed and used as reference. Quantitative image quality analysis was performed on all reconstructed images. Quantitative plaque assessment was performed on T3D images and segmentation masks were copied to all VMI images. Calcified plaque (CP; >350 Hounsfield units, HU), non-calcified plaque (NCP; 30-350HU) and low-attenuation NCP (LAP; -100-30HU) volumes were calculated.

Results: We analyzed 51 plaques from 51 patients (67% male, mean age 65±12 years). Average attenuation and contrast-to-noise ratio (CNR) decreased significantly with increasing keV levels, with similar values observed between T3D and 70 keV images (299±209 vs 303±225 HU, p=0.15 for mean HU; 15.5±3.7 vs. 15.8±3.5, p=0.32 for CNR). Mean NCP volume was comparable between T3D and 100-180 keV reconstructions. There was a graded decrease in mean CP volume, with a significant difference between all VMI images and T3D (p<0.05). LAP volume increased with increasing VMI energy levels and all VMI images showed a significant difference compared to T3D, except for 50 keV (28.0±30.8 mm3 and 28.6±30.1 mm3, respectively, p=0.63).

Conclusion: Fixed threshold settings result in significantly different plaque volumes when using VMIs as compared to T3D images. Normalization protocols are needed to have comparable results between future studies.

Funding: Project no. RRF-2.3.1-21-2022-00003 has been implemented with the support provided by the European Union. BV was supported by the ÚNKP-22-3-II-SE New National Excellence Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund.

University and Doctoral School

Semmelweis University, Doctoral School of Theoretical and Translational Medicine

Supervisor

Dr. Szilveszter Bálint PhD

Publication of my abstract

I do not give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

4778

Start

12:06

End

12:11

Authors (legacy)

Borbála Vattay1, Bálint Szilveszter1, Melinda Boussoussou1, Milán Vecsey-Nagy1, Andrew Lin2, Gábor Konkoly1, Anikó Kubovje3, Florian Schwarz4, Béla Merkely1, Pál Maurovich-Horvat3, Michelle C. Williams5, Damini Dey2, Márton Kolossváry6
1 Semmelweis University Heart and Vascular Center, Budapest, Hungary
2 Cedars-Sinai Medical Center, Los Angeles, United States of America
3 Semmelweis University, Medical Imaging Center, Budapest, Hungary
4 University Hospital Augsburg, Clinic for Diagnostic and Interventional Radiology and Neuroradiology, Augsburg, Germany
5 University of Edinburgh, Edinburgh, United Kingdom of Great Britain & Northern Ireland
6 Gottsegen György Hungarian Institute Of Cardiology Budapest, Budapest, Hungary