Dimitra D Dionysiou

Dimitra D Dionysiou
Institute of Communication and Computer Systems | ICCS · I-Sense Group.

PhD, MSc

About

77
Publications
8,317
Reads
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1,022
Citations
Citations since 2016
11 Research Items
342 Citations
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20162017201820192020202120220204060
Introduction
Dimitra Dionysiou has worked on the development of ICT technology in healthcare within the framework of EC-funded projects. Her research interests include cancer modelling, machine learning, clinical decision support systems, and technologies for search and rescue operations and emergency medicine.
Additional affiliations
October 2020 - present
Institute of Communication and Computer Systems
Position
  • Project Manager
September 2020 - December 2020
European Commission
Position
  • Fellow
July 2020 - September 2020
European Commission
Position
  • Expert Evaluator Horizon 2020

Publications

Publications (77)
Article
Full-text available
Apart from offering insight into the biomechanisms involved in cancer, many recent mathematical modeling efforts aspire to the ultimate goal of clinical translation, wherein models are designed to be used in the future as clinical decision support systems in the patient-individualized context. Most significant challenges are the integration of mult...
Article
Full-text available
The development of computational models for simulating tumor growth and response to treatment has gained significant momentum during the last few decades. At the dawn of the era of personalized medicine, providing insight into complex mechanisms involved in cancer and contributing to patient-specific therapy optimization constitute particularly ins...
Conference Paper
Full-text available
This paper briefly outlines the aim, the objectives, the architecture and the main building blocks of the ongoing large scale integrating transatlantic research project CHIC (http://chic-vph.eu/).
Article
Background/aim: The need for more effective treatment modalities that can improve the clinical outcome of patients with glioblastoma multiforme remains imperative. Dendritic cell vaccination is a fast-developing treatment modality, currently under exploration. Functional immune cell subpopulations may play a role in the final outcome. Materials a...
Conference Paper
First responders are operating on natural or human-made disasters under unknown environments. They have to work continuously, in hazardous situations, often with limited awareness of the operational situation. Aiming to support them in this task, technologies have been developed to ensure resilient communications at the field as well as timely tran...
Conference Paper
Full-text available
CURSOR (Coordinated Use of miniaturized Robotic equipment and advanced Sensors for search and rescue OpeRations) is an ongoing European H2020 project with the main objective to enhance the efficiency and safety of Urban Search and Rescue (USaR) operations on disaster sites. CURSOR’ s approach relies on the integration of multiple mature and emergin...
Article
Full-text available
Following publication of the original article [1], the authors noticed that the following errors were introduced by pdf/html formatting issues.
Article
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Background: Contemporary biological observations have revealed a large variety of mechanisms acting during the expansion of a tumor. However, there are still many qualitative and quantitative aspects of the phenomenon that remain largely unknown. In this context, mathematical and computational modeling appears as an invaluable tool providing the m...
Conference Paper
Full-text available
The large scale integrating Euro-American research project CHIC (“Computational Horizons in Cancer: Developing Meta- and Hyper-Multiscale Models and Respositories for In Silico Oncology”) [1] which is funded by the European Commission aims at developing an efficient and robust scientific and technological framework able to support the development o...
Article
Full-text available
The 5-year survival of non-small cell lung cancer patients can be as low as 1% in advanced stages. For patients with resectable disease, the successful choice of preoperative chemotherapy is critical to eliminate micrometastasis and improve operability. In silico experimentations can suggest the optimal treatment protocol for each patient based on...
Article
Full-text available
Background Antiangiogenic agents have been recently added to the oncological armamentarium with bevacizumab probably being the most popular representative in current clinical practice. The elucidation of the mode of action of these agents is a prerequisite for personalized prediction of antiangiogenic treatment response and selection of patients wh...
Article
Full-text available
As in many cancer types, the G1/S restriction point (RP) is deregulated in Acute Lymphoblastic Leukemia (ALL). Hyper-phosphorylated retinoblastoma protein (hyper-pRb) is found in high levels in ALL cells. Nevertheless, the ALL lymphocyte proliferation rate for the average patient is surprisingly low compared to its normal counterpart of the same ma...
Conference Paper
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The goal of this article is to present basic scientific principles and core algorithms of the simulation module of the CERvical cancer ONCOsimulator (CERONCO) developed within the context of the DrTherapat project (FP7-ICT-600852). CERONCO simulates the response of cervical tumours to radiotherapy treatment (external beam radiotherapy followed by b...
Article
Full-text available
Significant Virtual Physiological Human (VPH) efforts and projects have been concerned with cancer modeling, especially in the European Commission Seventh Framework research programme, with the ambitious goal to approach personalized cancer simulation based on patient-specific data and thereby optimize therapy decisions in the clinical setting. How...
Article
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This paper outlines the major components and function of the Technologically Integrated Oncosimulator developed primarily within the ACGT (Advancing Clinico Genomic Trials on Cancer) project. The Oncosimulator is defined as an information technology system simulating in vivo tumor response to therapeutic modalities within the clinical trial context...
Article
This paper presents a brief outline of the notion and the system of oncosimulator in conjunction with a high level description of the basics of its core multiscale model simulating clinical tumor response to treatment. The exemplary case of lung cancer preoperatively treated with a combination of chemotherapeutic agents is considered. The core onco...
Article
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This paper discusses the need for interconnecting computational cancer models from different sources and scales within clinically relevant scenarios to increase the accuracy of the models and speed up their clinical adaptation, validation, and eventual translation. We briefly review current interoperability efforts drawing upon our experiences with...
Data
This short VIDEO demonstrates a four dimensional, discrete mathematics based, top-down simulation of tumor response to two radiation therapy scenarios according to the predictions of an in silico model described mainly in the following two publications: 1.G S Stamatakos, V P Antipas, N K Uzunoglu, R G Dale, “A four-dimensional computer simulation...
Conference Paper
Full-text available
In this paper, a previous continuum approach describing vascular tumor growth under angiogenic signaling is developed and extended via the inclusion of bevacizumab pharmacokinetics. The modeling approach to the problem addressed includes inter alia the building of the model (selection of equations, related assumptions, coupling with a pharmacokinet...
Conference Paper
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Two blastemal nephroblastoma cases have been successfully clinically adapted under two simulation scenarios of a clinically-oriented multiscale computational model, providing insight into the tumor characteristics.
Conference Paper
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In the present study, methods aiming at supporting the personalization of an Acute Lymphoblastic Leukemia (ALL) Model (ALL Oncosimulator), already in development by the In Silico Oncology Group, National Technical University of Athens, are provided. Specifically, a population pharmacokinetic model for orally administered prednisone in children with...
Article
Full-text available
In the past decades a great progress in cancer research has been made although medical treatment is still widely based on empirically established protocols which have many limitations. Computational models address such limitations by providing insight into the complex biological mechanisms of tumor progression. A set of clinically-oriented, multisc...
Article
Full-text available
Image-based modeling of tumor growth combines methods from cancer simulation and medical imaging. In this context, we present a novel approach to adapt a healthy brain atlas to MR images of tumor patients. In order to establish correspondence between a healthy atlas and a pathologic patient image, tumor growth modeling in combination with registrat...
Conference Paper
In the present study, methods aiming at supporting the personalization of an Acute Lymphoblastic Leukemia (ALL) Model (ALL Oncosimulator), already in development by the In Silico Oncology Group, National Technical University of Athens, are provided. Specifically, a population pharmacokinetic model for orally administered prednisone in children with...
Article
Full-text available
Prior to an eventual clinical adaptation and validation of any clinically oriented model, a thorough study of its dynamic behavior is a sine qua non. Such a study can also elucidate aspects of the interplay of the involved biological mechanisms. Toward this goal, the paper focuses on an in-depth investigation of the free growth behavior of a macros...
Article
Full-text available
The challenge of modelling cancer presents a major opportunity to improve our ability to reduce mortality from malignant neoplasms, improve treatments and meet the demands associated with the individualization of care needs. This is the central motivation behind the ContraCancrum project. By developing integrated multi-scale cancer models, ContraCa...
Data
Calculation of reference values for the cell kill ratios of vincristine and actinomycin-D. (DOC)
Data
Simplified flowchart of the simulation procedure. Simplified flowchart of the simulation procedure. GC: Geometrical Cell. Y:Yes, N:No. (TIF)
Data
Details regarding sensitivity analyses. (DOC)
Data
Miscellaneous model parameters (unrelated to tumor dynamics) and typical values where applicable. (DOC)
Data
Time evolution of various tumor subpopulations. Alternative presentation of various tumor subpopulations for the four virtual tumor scenarios implemented (T1: Tumor1, T2: Tumor2, T3: Tumor3, T4: Tumor4, defined by the parameter values indicated in Table 1). Time evolution of A) proliferating, B) dead, C) terminally differentiated, D) stem, and E) L...
Article
Full-text available
In silico (on the computer) oncology is a complex and multiscale combination of sciences and technologies that focuses on the study and modelling of biological mechanisms related to the phenomenon of cancer at all levels of biocomplexity. In silico oncology simulation models may be used for evaluating and comparing different therapeutic schemes, wh...
Conference Paper
Full-text available
A brief introduction into the basics of a top-down multiscale tumour dynamics modelling method primarily based on the consideration and manipulation of discrete biological entities and events is presented. The method is clearly clinically oriented. One of its major goals is to support patient individualized treatment optimization through experiment...
Conference Paper
Full-text available
This short paper provides a brief outline of the main components and the developmental and translational process of the ACGT Oncosimulator. The Oncosimulator is an integrated software system simulating in vivo tumor response to therapeutic modalities within the clinical trial environment. It aims at supporting patient individualized optimization of...
Conference Paper
Full-text available
In the present paper, the dynamic behavior of a clinically-oriented simulation model of breast tumor response to chemotherapy is investigated. The model incorporates various biological processes such as cycling of proliferating cells, quiescence, differentiation and cell death. Indicative results drawn from an extensive parametric analysis of the...
Conference Paper
Full-text available
In this paper indicative sensitivity studies performed with an already developed simulation model of nephroblastoma response to chemotherapy are presented. The sensitivity analyses reported involve model parameters with a critical effect on the following aspects of the model: tumor initialization, tumor growth and tumor response to chemotherapy.
Conference Paper
Full-text available
This short communication briefly outlines the major components and the integration steps of the Oncosimulator that is being developed within the framework of the European Commission funded ContraCancrum project. The Oncosimulator is a technologically advanced multiscale tumor growth and treatment response system aiming at supporting patient indivi...
Conference Paper
Full-text available
In silico oncology is a demanding research field that entails the development of complex simulation models for the prediction of malignant tumor growth and the response of normal tissue to therapeutic modalities. A system that would enable researchers exchange, share and validate their models could therefore aid the in silico domain to the ultimate...
Conference Paper
Full-text available
ContraCancrum means ‘Against Cancer’ in Latin. This is because the ContraCancrum project aims to pave the way for translating clinically validated multilevel cancer models into clinical practice. The models will assist the clinician to define the optimal therapy for the individual patient taking into consideration all the available clinical data f...
Article
In this paper an advanced, clinically oriented multiscale cancer model of breast tumor response to chemotherapy is presented. The paradigm of early breast cancer treated by epirubicin according to a branch of an actual clinical trial (the Trial of Principle, TOP trial) has been addressed. The model, stemming from previous work of the In Silico Onco...
Article
The tremendous rate of accumulation of experimentally and clinically extracted knowledge concerning cancer at all levels of biocomplexity dictates the development of integrative in silico models of tumour dynamics in order to better understand and treat the disease. Since the eventual translation of biomodels into clinical practice presupposes succ...
Article
Full-text available
The ContraCancrum project aims at developing a composite multilevel platform for simulating malignant tumor development and tumor and normal tissue response to therapeutic modalities and treatment schedules. The project aims at having an impact primarily in (a) the better under-standing of the natural phenomenon of cancer at different levels of bio...
Article
The present paper outlines the initial version of the ACGT (Advancing Clinico-Genomic Trials) - an Integrated Project, partly funded by the EC (FP6-2005-IST-026996)I-Oncosimulator as an integrated software system simulating in vivo tumour response to therapeutic modalities within the clinical trials environment aiming to support clinical decision m...
Article
The tremendous rate of accumulation of experimentally and clinically extracted knowledge concerning cancer at all levels of biocomplexity dictates the development of integrative in silico models of tumour dynamics in order to better understand and treat the disease. Since the eventual translation of biomodels into clinical practice presupposes succ...
Conference Paper
Full-text available
A constantly increasing number of applications from various scientific sectors are finding their way towards adopting Grid technologies in order to take advantage of their capabilities: the advent of Grid environments made feasible the solution of computational intensive problems in a reliable and cost-effective way. The aim of this paper is to dem...
Conference Paper
Full-text available
The aim of this paper is to demonstrate how multilevel tumour growth and response to therapeutic treatment models can be used in order to simulate clinical trials, with the long-term intention of both better designing clinical studies and understanding their outcome based on basic biological science. For this purpose, an already developed computer...
Conference Paper
Mathematical and computational tumor dynamics models can provide considerable insight into the relative importance and interdependence of related biological mechanisms. They may also suggest the existence of optimal treatment windows in the generic setting. Nevertheless, they cannot be translated into clinical practice unless they undergo a strict...
Conference Paper
The potential of cancer multilevel modeling has been particularly emphasized over the past years. Integration of multiscale experimental and clinical information pertaining to cancer via advanced computer models seems to considerably accelerate optimization of cancer treatment in the patient individualized context. However, a sine qua non prerequis...