Alexis Theodorou

Dr. Alexis Theodorou

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 December 2024 in JMIR Medical Informatics
Verified
Journal Article
Open access
MAMohammed A. AboArab
Mohammed A. AboArab
VPVassiliki T. Potsika
Vassiliki T. Potsika
ATAlexis Theodorou
Alexis Theodorou
SVSylvia Vagena
Sylvia Vagena
MGMiltiadis Gravanis
Miltiadis Gravanis
Dimitrios FotiadisDimitrios Fotiadis
Dimitrios Fotiadis
Background: In medical imaging, 3D visualization is vital for displaying volumetric organs, enhancing diagnosis and analysis. Multiplanar reconstruction (MPR) improves visual and diagnostic capabilities by transforming 2D images from computed tomography (CT) and magnetic resonance imaging into 3D representations. Web-based Digital Imaging and Communications in Medicine (DICOM) viewers integrated into picture archiving and communication systems facilitate access to pictures and interaction with remote data. However, the adoption of progressive web applications (PWAs) for web-based DICOM and MPR visualization remains limited. This paper addresses this gap by leveraging PWAs for their offline access and enhanced performance. Objective: This study aims to evaluate the integration of DICOM and MPR visualization into the web using PWAs, addressing challenges related to cross-platform compatibility, integration capabilities, and high-resolution image reconstruction for medical image visualization. Methods: Our paper introduces a PWA that uses a modular design for enhancing DICOM and MPR visualization in web-based medical imaging. By integrating React.js and Cornerstone.js, the application offers seamless DICOM image processing, ensures cross-browser compatibility, and delivers a responsive user experience across multiple devices. It uses advanced interpolation techniques to make volume reconstructions more accurate. This makes MPR analysis and visualization better in a web environment, thus promising a substantial advance in medical imaging analysis. Results: In our approach, the performance of DICOM- and MPR-based PWAs for medical image visualization and reconstruction was evaluated through comprehensive experiments. The application excelled in terms of loading time and volume reconstruction, particularly in Google Chrome, whereas Firefox showed superior performance in viewing slices. This study uses a dataset comprising 22 CT scans of peripheral artery patients to demonstrate the application’s robust performance, with Google Chrome outperforming other browsers in both the local area network and wide area network settings. In addition, the application’s accuracy in MPR reconstructions was validated with an error margin of <0.05 mm and outperformed the state-of-the-art methods by 84% to 98% in loading and volume rendering time. Conclusions: This paper highlights advancements in DICOM and MPR visualization using PWAs, addressing the gaps in web-based medical imaging. By exploiting PWA features such as offline access and improved performance, we have significantly advanced medical imaging technology, focusing on cross-platform compatibility, integration efficiency, and speed. Our application outperforms existing platforms for handling complex MPR analyses and accurate analysis of medical imaging as validated through peripheral artery CT imaging.

29 November 2025 in Medicina
Verified
Journal Article
Open access
PDF file
AVArgyro Vagena
Argyro Vagena
GTGiorgos Theocharous
Giorgos Theocharous
ATAlexis Theodorou
Alexis Theodorou
PPPavlos Pantelis
Pavlos Pantelis
MGMiltiadis Gravanis
Miltiadis Gravanis
AKAthanassios Kotsinas
Athanassios Kotsinas
Atherosclerosis, a major contributor to vascular damage and plaque formation, is brought on by cellular senescence and chronic inflammation. A crucial matter that emerges is the classification of the disease in order to understand the pathogenic mechanisms before treatment. Given that oxidative stress, DNA damage, and inflammation contribute to cellular senescence, an increase in pro-inflammatory factors is detected in the atherosclerotic plaque, which exacerbates its instability while impeding vascular repair. This study emphasizes the importance of pathways such as Nrf2, ICAM-1, and p38 MAPK/p16INK4A in the development of atherosclerosis. It also underscores the potential of senescence-targeting interventions to complement the conventional treatments for atherosclerosis. The study promotes using senolytic approaches that may serve as effective adjuncts to conventional pharmacological treatments for atherosclerosis. Particularly, quercetin, a flavonoid, demonstrates a potential action as senolytic agent by mitigating macrophage senescence, improving lipid profiles, and reducing plaque size of up to 56% in experimental models. This review article advocates for integrating senolytic approaches, including nutraceuticals like quercetin and combination therapies, to improve cardiovascular health and age-related vascular disorders.

1 July 2024 in JMIR Preprints
Verified
Preprint
Open access
MAMohammed A. AboArab
Mohammed A. AboArab
VPVassiliki T. Potsika
Vassiliki T. Potsika
ATAlexis Theodorou
Alexis Theodorou
SVSylvia Vagena
Sylvia Vagena
MGMiltiadis Gravanis
Miltiadis Gravanis
Dimitrios FotiadisDimitrios Fotiadis
Dimitrios Fotiadis
BACKGROUND In medical imaging, 3D visualization is vital for displaying volumetric organs, enhancing diagnosis and analysis. Multiplanar reconstruction (MPR) improves visual and diagnostic capabilities by transforming 2D images from computed tomography (CT) and magnetic resonance imaging into 3D representations. Web-based Digital Imaging and Communications in Medicine (DICOM) viewers integrated into picture archiving and communication systems facilitate access to pictures and interaction with remote data. However, the adoption of progressive web applications (PWAs) for web-based DICOM and MPR visualization remains limited. This paper addresses this gap by leveraging PWAs for their offline access and enhanced performance. OBJECTIVE This study aims to evaluate the integration of DICOM and MPR visualization into the web using PWAs, addressing challenges related to cross-platform compatibility, integration capabilities, and high-resolution image reconstruction for medical image visualization. METHODS Our paper introduces a PWA that uses a modular design for enhancing DICOM and MPR visualization in web-based medical imaging. By integrating React.js and Cornerstone.js, the application offers seamless DICOM image processing, ensures cross-browser compatibility, and delivers a responsive user experience across multiple devices. It uses advanced interpolation techniques to make volume reconstructions more accurate. This makes MPR analysis and visualization better in a web environment, thus promising a substantial advance in medical imaging analysis. RESULTS In our approach, the performance of DICOM- and MPR-based PWAs for medical image visualization and reconstruction was evaluated through comprehensive experiments. The application excelled in terms of loading time and volume reconstruction, particularly in Google Chrome, whereas Firefox showed superior performance in viewing slices. This study uses a dataset comprising 22 CT scans of peripheral artery patients to demonstrate the application’s robust performance, with Google Chrome outperforming other browsers in both the local area network and wide area network settings. In addition, the application’s accuracy in MPR reconstructions was validated with an error margin of <0.05 mm and outperformed the state-of-the-art methods by 84% to 98% in loading and volume rendering time. CONCLUSIONS This paper highlights advancements in DICOM and MPR visualization using PWAs, addressing the gaps in web-based medical imaging. By exploiting PWA features such as offline access and improved performance, we have significantly advanced medical imaging technology, focusing on cross-platform compatibility, integration efficiency, and speed. Our application outperforms existing platforms for handling complex MPR analyses and accurate analysis of medical imaging as validated through peripheral artery CT imaging.