A5033231955- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Sarcoma Diagnosis and Treatment
- Cancer, Hypoxia, and Metabolism
- Mathematical Biology Tumor Growth
- Ultrasound and Hyperthermia Applications
- Multiple Sclerosis Research Studies
- AI in cancer detection
- Textile materials and evaluations
- Heat Transfer and Optimization
- Digital Imaging for Blood Diseases
- Glioma Diagnosis and Treatment
- Brain Tumor Detection and Classification
- Cutaneous Melanoma Detection and Management
- Optical Imaging and Spectroscopy Techniques
- Advanced Neuroimaging Techniques and Applications
- Lanthanide and Transition Metal Complexes
- NMR spectroscopy and applications
- Advanced NMR Techniques and Applications
- Infrared Thermography in Medicine
Foundation for Research and Technology Hellas
2015-2021
University of Crete
2018-2020
University Hospital of Heraklion
2018
FORTH Institute of Computer Science
2015
Imaging biomarkers (IBs) play a critical role in the clinical management of breast cancer (BRCA) patients throughout continuum for screening, diagnosis, and therapy assessment, especially neoadjuvant setting. However, certain model-based IBs suffer from significant variability due to complex workflows involved their computation, whereas model-free have not been properly studied regarding outcome. In this study, 35 BRCA who received chemotherapy (NAC) were extracted dynamic contrast-enhanced...
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) enables the quantification of contrast leakage from vascular tissue by using pharmacokinetic (PK) models. Such quantitative analysis DCE-MRI data provides physiological parameters that are able to provide information tumor pathophysiology and therapeutic outcome. Several assumptive PK models have been proposed characterize microcirculation in tumoral tissue. In this paper, we present a comparative study between well-known...
The main purpose of this study is to analyze the intrinsic tumor physiologic characteristics in patients with sarcoma through model-free analysis dynamic contrast enhanced MR imaging data (DCE-MRI). Clinical were collected from three two different types histologically proven sarcomas who underwent conventional and advanced MRI examination prior excision. An matrix factorization algorithm has been applied data, resulting identification principal time-signal uptake curves DCE-MRI which used...
Glioblastoma multiforme is the most aggressive type of glioma and common malignant primary intra-axial brain tumor. In an effort to predict evolution disease optimize therapeutical decisions, several models have been proposed for simulating growth pattern glioma. One latest incorporates cell proliferation invasion, angiogenic net rates, oxygen consumption, vasculature. These factors, particularly oxygenation levels, are considered fundamental factors tumor heterogeneity compartmentalization....
Quantitative MRI plays a central role in the precision management of cancer. Regarding breast cancer (BRCA) patients, DCE-MRI imaging biomarkers (IBs) have shown promising results both clinical trials and practice. The advancements field radiomics offer more opportunities for defining disease-specific screening, diagnosis therapy assessment. In this paper we present study investigating predicting breast-cancer response neoadjuvant setting. A temporal approach is proposed setting on public...
Visualizing tumor environment is a critical task for assessing treatment response as well tailoring therapy to the individual by better understanding viable, necrotic and hypoxic areas. While number of imaging modalities can provide complementary information about composition, there are several constraints regarding radiation, cost patient tolerance that dictate need non-invasive cost-effective methods be used in context personalized medicine. In this paper we present some major challenges...
Non-invasive imaging biomarkers that assess angiogenic response and tumor microvascular environment at an early stage of therapy could provide useful insights into planning. Tissue hypoxia is related to the insufficient supply oxygen associated with vasculature perfusion. Thus, knowledge hypoxic areas be great importance. There no golden standard for yet, however Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) among most promising non-invasive clinically relevant modalities....
The vascular microenvironment of tumors is a key determinant the tumor pathophysiology. Hypoxia, i.e. lack sufficient oxygen supply, might affect significantly treatment efficacy solid making it an important imaging biomarker. ability to characterize perfusion can provide prognostic information about progression and risk metastases. In this work, Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI), non-invasive method, has been used for detection hypoxic areas on neck sarcoma...
Accurate determination of disease activity by detection the acute, inflammatory Multiple Sclerosis (MS) lesions, with blood brain barrier disruption and contrast enhancement is critical for clinicians because it affects diagnosis treatment. In this work, a new Dynamic Contrast Enhanced (DCE) protocol was investigated in conjunction different pharmacokinetic (PK) models order to define well-designed workflow DCE MRI analysis active MS lesions. This time extended protocol, achieved double...
The article Pattern recognition and pharmacokinetic methods on DCE-MRI data for tumor hypoxia mapping in sarcoma, written by M. Venianaki, O. Salvetti, E. de Bree, T. Maris, A. Karantanas, Kontopodis, K. Nikiforaki, Marias, was originally published electronically without open access.
The present study aims 1. to automatically classify the heterogeneously perfused tumors using dynamic contrast-enhanced (DCE) MRI data from two patients diagnosed with malignant peripheral nerve sheath tumor (MPNST), 2. compare differences between cases, and 3. detect possible presence of hypoxia. A pattern recognition (PR) algorithm has been applied resulting in identification areas different perfusion. was proven be robust since intensity curves PR classified pixels had similar shapes...
Abstract This study aims to examine a time-extended dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) protocol and report comparative with three different pharmacokinetic (PK) models, for accurate determination of subtle blood–brain barrier (BBB) disruption in patients multiple sclerosis (MS). DCE-MRI perfusion protocol, called Snaps, was applied on 24 active demyelinating lesions 12 MS patients. Statistical analysis performed both protocols through PK models. The Snaps achieved...