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Personel - KAGADIS GE.

KAGADIS GEORGE, Professor

KAGADIS GEORGE

Sector: Division of Basic Medical Sciences I

Clinic/Laboratory: Department of Medical Physics

Knowledge Subject: Medical Physics - Medical Informatics

Research Area: Medical Physics - Medical Informatics

University of Patras School of Medicine Department of Medical Physics P.O.BOX: 132 73 GR 265 04 Rion Greece 2nd level, Building of Preclinical Functions

+30 2610 962345 n/a gkagad@gmail.com kagadis@upatras.gr

Download Curriculum Vitae

Summary of Curriculum Vitae

George C. Kagadis, PhD, is Professor of Medical Physics & Medical Informatics at University of Patras, Greece. He received his Diploma in Physics from the University of Athens, Greece in 1996 and both his MSc and PhD in medical physics from the University of Patras, Greece in 1998 and 2002, respectively. He is a Greek State Scholarship Foundation grantee, a Fulbright Research Scholar, and a Full AAPM member. From January 8, 2014 to July 14, 2015 he has been a visiting Assistant Professor to UT MD Anderson Cancer Center, where he currently holds an Adjunct Associate Professor appointment. He has authored approximately 120 journal papers and presented over 50 talks. He has been involved in European and national projects, including e-health. His current research interests focus on dosimtery, Monte Carlo simulations, medical image processing and analysis, studies in molecular imaging, IHE as well as CAD applications. Currently he is a Deputy Editor to Medical Physics, AAPM Website editor, chair of the AAPM Website editorial board, chair of the European Affairs Subcommittee, chair of the Electronic Media Coordinating Committee, member of the AAPM Molecular Imaging in Radiation Oncology Work Group, Elctronic Media Coordinating, Equipment Donation Subcommittee, History, International Affairs, International Scientific Exchange Subcommittee, Newsletter Editorial Board, Online Learing Services Subcommittee, Placement Service Subcommittee, Advertising Revenue and Policy, and Work Group on Information Technology.

Undergraduate Courses

Postgraduate Courses

  • Molecular Imaging (Postgraduate Course on Medical Physics)
  • Physics in Nuclear Medicine (Postgraduate Course on Medical Physics)
  • Medical Informatics (Postgraduate Course on Medical Physics)

Selected Publications

  1. Chatzipapas KP, Plachouris D, Papadimitroulas P, Mountris KA, Bert J, Visvikis D, Mihailidis D, Kagadis GC. Standardization and Validation of Brachytherapy Seeds' Modelling Using GATE and GGEMS Monte Carlo Toolkits. Cancers (Basel). 2021 Oct 22;13(21):5315. doi: 10.3390/cancers13215315. PMID: 34771479; PMCID: PMC8582469.
  2. Papadopoulos C, Kolokithas-Ntoukas A, Moreno R, Fuentes D, Loudos G, Loukopoulos VC, Kagadis GC. Using kinetic Monte Carlo simulations to design efficient magnetic nanoparticles for clinical hyperthermia. Med Phys. 2022 Jan;49(1):547-567. doi: 10.1002/mp.15317. Epub 2021 Nov 22. PMID: 34724215.
  3. Plachouris D, Tzolas I, Gatos I, Papadimitroulas P, Spyridonidis T, Apostolopoulos D, Papathanasiou N, Visvikis D, Plachouri KM, Hazle JD, Kagadis GC. A deep-learning-based prediction model for the biodistribution of 90 Y microspheres in liver radioembolization. Med Phys. 2021 Nov;48(11):7427-7438. doi: 10.1002/mp.15270. Epub 2021 Oct 21. PMID: 34628667.
  4. Papadimitroulas P, Brocki L, Christopher Chung N, Marchadour W, Vermet F, Gaubert L, Eleftheriadis V, Plachouris D, Visvikis D, Kagadis GC, Hatt M. Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization. Phys Med. 2021 Mar;83:108-121. doi: 10.1016/j.ejmp.2021.03.009. Epub 2021 Mar 22. PMID: 33765601.
  5. Chatzipapas KP, Papadimitroulas P, Loudos G, Papanikolaou N, Kagadis GC. IDDRRA: A novel platform, based on Geant4-DNA to quantify DNA damage by ionizing radiation. Med Phys. 2021 May;48(5):2624-2636. doi: 10.1002/mp.14817. Epub 2021 Mar 30. PMID: 33657650.
  6. Dimitris Plachouris, Konstantinos Mountris, Panagiotis Papadimitroulas, Trifon Spyridonidis, Konstantinos Katsanos, Dimitris Apostolopoulos, Nikolaos Papathanasiou, John Hazle, Dimitris Visvikis, George C. Kagadis. Clinical Evaluation of a Three-Dimensional Internal Dosimetry Technique for Liver Radioembolization with 90Y Microspheres Using Dose Voxel Kernels. Cancer Biotherapy and Radiopharmaceuticals 2021;36(10):809-819.
  7. M. Rouchota, A. Adamiano, M. Iafisco, E. Fragogeorgi, I. Pilatis, G. Doumont, S. Boutry, D. Catalucci, A. Zacharioudaki, G.C. Kagadis. Optimization of in vivo studies by combining planar dynamic and tomographic imaging: workflow evaluation on a superparamagnetic nanoparticles system. Molecular Imaging 2021; 6677847. https://doi.org/10.1155/2021/6677847.
  8. G.C. Kagadis; P. Drazinos; I. Gatos; S. Tsantis; P. Papadimitroulas; S. Spiliopoulos; D. Karnabatidis; I. Theotokas; P. Zoumpoulis; J.D. Hazle. Deep Learning Networks on Chronic Liver Disease Assessment with Fine-Tuning of Shear Wave Elastography Image Sequences. Phys Med Biol 2020 Nov 5;65(21):215027. doi: 10.1088/1361-6560/abae06.
  9. Konstantinos P. Chatzipapas, Panagiotis Papadimitroulas, Dimitris Emfietzoglou, Spyridon A. Kalospyros, Megumi Hada, Alexandros G. Georgakilas, and George C. Kagadis. Ionizing Radiation and Complex DNA Damage: Quantifying the Radiobiological Damage Using Monte Carlo Simulations. Cancers 2020; 12(4):799.
  10. Kostou T, Papadimitroulas P, Papaconstadopoulos P, Devic S, Seuntjens J, Kagadis GC. Size-specific dose estimations for pediatric chest, abdomen/pelvis and head CT scans with the use of GATE. Phys Med. 2019;65:181–190. doi:10.1016/j.ejmp.2019.08.020
  11. Gatos I, Tsantis S, Spiliopoulos S, Karnabatidis D, Theotokas I, Zoumpoulis P, Loupas T, Hazle JD, Kagadis GC. Temporal stability assessment in shear wave elasticity images validated by deep learning neural network for chronic liver disease fibrosis stage assessment. Med Phys. 2019 May;46(5):2298-2309. doi: 10.1002/mp.13521.
  12. Chatzipapas KP, Papadimitroulas P, Obeidat M, McConnell KA, Kirby N, Loudos G, Papanikolaou N, Kagadis GC. Quantification of DNA double-strand breaks using Geant4-DNA. Med Phys. 2019 Jan;46(1):405-413. doi: 10.1002/mp.13290. 
  13. Papadimitroulas P, Erwin WD, Iliadou V, Kostou T, Loudos G, Kagadis GC. A personalized, Monte Carlo-based method for internal dosimetric evaluation of radiopharmaceuticals in children. Med Phys. 2018 Jun 19. doi: 10.1002/mp.13055. 
  14. Gatos I, Tsantis S, Spiliopoulos S, Karnabatidis D, Theotokas I, Zoumpoulis P, Loupas T, Hazle JD, Kagadis GC. 'A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography.' Ultrasound Med Biol. 2017 Sep;43(9):1797-1810. doi: 10.1016/j.ultrasmedbio.2017.05.002.
  15. Gatos I, Tsantis S, Karamesini M, Spiliopoulos S, Karnabatidis D, Hazle JD, Kagadis GC. 'Focal liver lesions segmentation and classification in nonenhanced T2-weighted MRI.' Med Phys. 2017 Jul;44(7):3695-3705. doi: 10.1002/mp.12291.
  16. Gatos I, Tsantis S, Spiliopoulos S, Karnabatidis D, Theotokas I, Zoumpoulis P, Loupas T, Hazle JD, Kagadis GC. ‘A new computer aided diagnosis system for evaluation of chronic liver disease with ultrasound shear wave elastography imaging’ Med Phys 2016;43(3):1428-36. doi: 10.1118/1.4942383.
  17. Kostou T, Papadimitroulas P, Loudos G, Kagadis GC. ‘A preclinical simulated dataset of S-values and investigation of the impact of rescaled organ masses using the MOBY phantom’ Phys Med Biol 2016;61(6):2333-55. doi: 10.1088/0031-9155/61/6/2333.
  18. Gatos I, Tsantis S, Spiliopoulos S, Skouroliakou A, Theotokas I, Zoumpoulis P, Hazle JD, Kagadis GC. ‘A new automated quantification algorithm for the detection and evaluation of focal liver lesions with contrast-enhanced ultrasound’ Med Phys 2015;42(7): 3948-59.
  19. Tsiapa I, Efthimiadou EK, Fragogeorgi E, Loudos G, Varvarigou AD, Bouziotis P, Kordas GC, Mihailidis D, Nikiforidis GC, Xanthopoulos S, Psimadas D, Paravatou-Petsotas M, Palamaris L, Hazle JD, Kagadis GC. ‘(99m)Tc-labeled aminosilane-coated iron oxide nanoparticles for molecular imaging of ανβ3-mediated tumor expression and feasibility for hyperthermia treatment.’ J Colloid Interface Sci. 2014 Nov 1;433:163-75. doi: 10.1016/j.jcis.2014.07.032.
  20. Tsiapa I, Loudos G, Fragogeorgi EA, Bouziotis P, Psimadas D, Xanthopoulos S, Paravatou-Petsotas M, Palamaris L, Varvarigou AD, Karnabatidis D, Kagadis GC. ‘Evaluation of ανβ3-mediated tumor expression with a 99mTc-labeled ornithine-modified RGD derivative during glioblastoma growth in vivo.’ Cancer Biother Radiopharm. 2014 Dec;29(10):444-50. doi: 10.1089/cbr.2014.1672.
  21. Stavros Tsantis, Stavros Spiliopoulos, Aikaterini Skouroliakou, Dimitris Karnabatidis, John D. Hazle, George C. Kagadis ‘Multiresolution Edge Detection Using Enhanced Fuzzy C-Means Clustering for Ultrasound Image Speckle Reduction’ Med Phys 2014;41(7): 072903 (11pp).
  22. George Bourantas, Mehdi Ghommem, George C. Kagadis, Kontsantinos Katsanos, Vassilis C. Loukopoulos, Vasilis N. Burganos, George C. Nikiforidis ‘Real-time tumor ablation simulation based on the dynamic mode decomposition method’ Med Phys 2014;41(5): 053301 (11pp).
  23. Irene Tsiapa, Eleni K. Efthimiadou, Eirini Fragogeorgi, George Loudos, Alexandra D. Varvarigou, Penelope Bouziotis, George C. Kordas, Dimitris Mihailidis, George C. Nikiforidis, Stavros Xanthopoulos, Dimitrios Psimadas, Maria Paravatou-Petsotas, Lazaros Palamaris, John D. Hazle, George C. Kagadis. '99mTc-Labeled aminosilane-coated iron oxide nanoparticles for molecular imaging of ανβ3 tumor depending and feasibility for hyperthermia treatment’. Journal of Colloid and Interface Science 2014;433:163-175.
  24. Eirini Tsiapa, George Loudos, Eirini Fragogeorgi, Penelope Bouziotis, Dimitrios Psimadas, Stavros Xanthopoulos, Maria Paravatou-Petsotas, Lazaros Palamaris, Alexandra D. Varvarigou, Dimitris Karnabatidis, George C. Kagadis. 'Evaluation of ανβ3 –mediated tumor expression with a 99mTc–labeled ornithine-modified RGD derivative during glioblastoma growth in vivo’. Accepted for publication in Cancer Biotherapy & Radiopharmaceuticals.
  25. Panagiotis Papadimitroulas, George Loudos, Amandine Le Maitre, Mathieu Hatt, Florent Tixier, Nikos Efthimiou, George C. Nikiforidis, Dimitris Visvikis, George C. Kagadis ‘Investigation of realistic PET simulations incorporating tumor patient’s specificity using anthropomorphic models: Creation of an oncology database. Med Phys 2013;40(11):112506.
  26. Kevin Moore, George C. Kagadis, Todd R. McNutt, Vitali Moiseenko, Sasa Mutic ‘Automation and advanced computing in clinical radiation oncology’ Med Phys 2014;41(1):010901 (13pp).
  27. Michael T. Munley, George C. Kagadis, Kiaran P. McGee, Assen S. Kirov, Sunyoung Jang, Sasa Mutic, Robert Jeraj, Lei Xing, J. Daniel Daniel Bourland. 'An Introduction to Molecular Imaging in Radiation Oncology: A Report by the AAPM Working Group on Molecular Imaging in Radiation Oncology (WGMIR)'. Med Phys 2013;40(10):101501.
  28. George C. Kagadis, Christos Kloukinas, Kevin Moore, Jim Philbin, Panagiotis Papadimitroulas, Christos Alexakos, Paul G. Nagy, Dimitris Visvikis, and William R. Hendee. 'Cloud Computing in medical imaging.' Med Phys 2013;40(7):070901.
  29. Mandelias K, Tsantis S, Spiliopoulos S, Katsakiori PF, Karnabatidis D, Nikiforidis GC, Kagadis GC. 'Automatic quantitative analysis of in-stent restenosis using FD-OCT in vivo intra-arterial imaging.' Med Phys 2013;40(6):063101.
  30. Kagadis GC, Walz-Flannigan A, Krupinski EA, Nagy PG, Katsanos K, Diamantopoulos A, Langer SG. 'Medical imaging displays and their use in image interpretation.' Radiographics. 2013 Jan-Feb;33(1):275-90.
  31. Tsiapa I, Loudos G, Varvarigou A, Fragogeorgi E, Psimadas D, Tsotakos T, Xanthopoulos S, Mihailidis D, Bouziotis P, Nikiforidis GC, Kagadis GC. 'Biological evaluation of an ornithine-modified (99m)Tc-labeled RGD peptide as an angiogenesis imaging agent.' Nucl Med Biol. 2013;40(2):262-72.
  32. Kagadis GC, Katsanos K, Karnabatidis D, Loudos G, Nikiforidis GC, Hendee WR. 'Emerging technologies for image guidance and device navigation in interventional radiology' Med Phys. 2012;39(9):5768-81.
  33. Walz-Flannigan A, Babcock B, Kagadis GC, Wang J, Langer SG. 'Human contrast-detail performance with declining contrast.' Med Phys. 2012;39(9):5446-56.
  34. Papadimitroulas P, Loudos G, Nikiforidis GC, Kagadis GC. 'A dose point kernel database using GATE Monte Carlo simulation toolkit for nuclear medicine applications: comparison with other Monte Carlo codes.' Med Phys. 2012;39(8):5238-47.
  35. Messaris GA, Abatzis I, Kagadis GC, Samartzis AP, Athanasopoulou P, Christeas N, Katsanos K, Karnabatidis D, Nikiforidis GC. 'Hysterosalpingography using a flat panel unit: evaluation and optimization of ovarian radiation dose' Med Phys. 2012; 39(7):4404-13.
  36. Tsantis S, Kagadis GC, Katsanos K, Karnabatidis D, Bourantas G, Nikiforidis GC. 'Automatic vessel lumen segmentation and stent strut detection in intravascular optical coherence tomography' Med Phys. 2012 Jan;39(1):503-513.
  37. Kagadis GC, Alexakos C, Langer SG, French T. 'Using an Open-Source PACS Virtual Machine for a Digital Angiography Unit: Methods and Initial Impressions' J Digit Imaging 2012 Feb;25(1):81-90.
  38. George C. Kagadis, George Loudos, Konstantinos Katsanos, Steve G. Langer, George C. Nikiforidis ‘In vivo small animal imaging, Med Phys. 2010 Dec;37(12):6421-42.
  39. Loudos G,  Kagadis GC, Psimadas D. ‘Current status and future perspectives of in vivo small animal imaging using radiolabeled nanoparticles’. Eur J Radiol 2011; 78(2):287-95.
  40. George C. Kagadis, Eugene D. Skouras, George C. Bourantas, Christakis Paraskeva, Konstantinos Katsanos, Dimitris Karnabatidis, George C. Nikiforidis. ‘Computational representation and hemodynamic characterization of in vivo acquired severe stenotic renal artery geometries using turbulence modelling’ Medical Engineering & Physics 2008; 30(5) pp. 647-660.

Selected Presentations

  • 'Cloud Computing in Medical Imaging' George C. Kagadis, presented at the AAPM 2014 annual meeting, Austin, TX, July 20-24, 2014.
  • 'Dosimetry and dosimetric challenges in paediatric radiology and radiotherapy' George C. Kagadis, presented at EU Scientific Seminar 2020 - "Radiosensitivity of children - Health issues after radiation exposure at young age", December 1, 2020.

PhD Theses Advisor

  • Konstantia Tsioupinaki, BSc Biology, MSc Medical Physics: 'Angiogenesis spatial distribution in a diabetic model of New Zealand rabbit hindlimb ischemia with the aid of molecular imaging' (successfully defended on November 22, 2013)
  • Eirini Tsiapa, BSc Medical Systems Technology, MSc Optics & Vision: 'Molecular imaging methodologies with radiolabeled nanoparticles for the quantitative evaluation of angiogenesis spatial distribution in malignant tumors' (successfully defended on September 23, 2013)
  • Panagiotis Papadimitroulas, BSc Physics, MSc Medical Physics: 'Optimization of diagnostic, therapy and dosimetry applications in Nuclear medicine, with the development of computational models and the use of Monte Carlo simulations' (succsessfully defended on November 25, 2015)
  • Ilias Gatos, BSc Physics, MSc Informatics: 'Development of algorithms for MRI and US image processing and analysis in liver diseases' (successfully defended on December 21, 2016)
  • Theodora Kostou, BSc Physics, MSc Medical Physics: 'Individualized dosimetry for pediatric Nuclear Medicine exams based on Monte Carlo simulations and computational phantoms' (successfully defended on July 25, 2019)
  • Maritina Rouhota, BSc Physics, MSc Medical Physics: 'Development and quality assessment of a dedicated PET/SPECT/CT prototype for molecular imaging' (successfully defended on April 13, 2022)
  • Constantinos Chatzipapas, BSc Physics, MSc Medical Physics: 'Development of cell and protein scale dosimetry tools, and their applications for the optimization of therapeutic protocols using Monte Carlo simulations' (successfully defended on November 10, 2021)
  • Cosntantinos Papadopoulos, BSc Physics, MSc Medical Physics: 'Optimization of thermal dose delivery in magnetic nanoparticle hyperthermia, using novel simulation tools' (successfully defended on May 23, 2022)
  • Dimitrios Plahouris, BSc Physics, MSc Medical Physics: 'Image-based dosimetry for the optimization of liver radioembolization with 90Υ microspheres' (successfully defended on January 14, 2022)
  • Thomas Nanos, BSc Physics, MSc Medical Physics: 'Optimization of individualized 177Lu diagnosis and therapy protocols using advanced computational tools' (PhD in progress)

Other Activities

  • AAPM Website Editor; 06/2013 - today
  • Adjunct Assistant Professor, UT MD Anderson Cancer Center; 12/2014 - 08/2015
  • Adjunct Associate Professor, UT MD Anderson Cancer Center; 09/2015 - 08/2020
  • Adjunct Professor, UT MD Anderson Cancer Center; 09/2020 - today
Participating in the following active R&D projects:
  1. "Development of realistic computational models for the optimization of diagnostic and therapeutic protocols" under the Joint Research and Technology program between Greece and France; 2009-2011 funded by the Greek Secreteriat of Research and Technology €20,000 (PI); 11/2010-10-2012.
  2. Iraklitos II: "Molecular imaging methodologies with radiolabeled nanoparticles for the quantitative evaluation of angiogenesis spatial distribution in malignant tumors" sponsored by the Greek Ministry of Education €45,000 (PI); 9/2010-8/2013.
  3. Karatheodori 2010: "Angiogenesis spatial distribution in a diabetic model of New Zealand rabbit hindlimb ischemia with the aid of molecular imaging" sponsored by University of Patras €33,000 (PI); 2/2011-1/2014.
  4. H2020-MSCA-RISE-2014 ERROR: A pEdiatRic dosimetRy personalized platfORm based on computational anthropomorphic phantoms; sponsored by HORIZON 2020 €432,000 (PI); 01/2016 - 12/2019.
  5. H2020-MSCA-RISE-2019 AERAS: A CybEr range tRaining platform for medicAl organisations and systems Security; sponsored by HORIZON 2020 €165,600 (co-PI); 12/2019 - 11/2023.
  6. POPEYE: Personalized Optimization of Prognostic and thErapeutic protocols with Lu-177 for MNETs, through the development of advanced computational tools and a portable detection sYstEm; sponsored by ERA PerMed Joint Transnational Call for Proposals (JTC) 2019 on "Personalised Medicine: Multidisciplinary Research Towards Implementation" €131,120 (PI); 01/2020 - 12/2022.
  7. CHILDOSE: Development of a framework for the optimization of pediatric dosimetry, using Monte Carlo techniques and personalized PET/SPECT/CT/MR data; sponsored by ELIDEK €200,000 (PI); 01/2022 - 12/2024.