Dimitris Visvikis
French Institute of Health and Medical Research
Imaging phantomPhysicsInternal medicineRadiologyIterative reconstructionOncologyArtificial intelligencePattern recognitionMonte Carlo methodMedical physicsPositron emission tomographyContext (language use)Nuclear medicineMedical imagingComputer visionComputer scienceRadiation therapyMedicineSegmentationDetector
434Publications
55H-index
9,646Citations
Publications 432
Newest
#1Bogdan Badic (University of Western Brittany)
#2Ronrick Da-ano (University of Western Brittany)
Last. Dimitris Visvikis (University of Western Brittany)H-Index: 55
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OBJECTIVES To assess the value of contrast-enhanced (CE) diagnostic CT scans characterized through radiomics as predictors of recurrence for patients with stage II and III colorectal cancer in a two-center context. MATERIALS AND METHODS This study included 193 patients diagnosed with stage II and III colorectal adenocarcinoma from 1 July 2008 to 15 March 2017 in two different French University Hospitals. To compensate for the variability in two-center data, a statistical harmonization method Boo...
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L’IRM conventionnelle joue un role cle dans la prise en charge des patients atteints de glioblastomes, cependant, l’IRM multiparametrique et la TEP pourraient fournir des informations supplementaires en identifiant les regions a haut risque de recidive. Dans cette etude, nous nous sommes interesses a la proliferation, l’hypervascularisation et l’hypoxie, considerees comme des facteurs de mauvais pronostic. Elles ont ete evaluees en mesurant respectivement la captation du 18F-FLT, le rCBV et la c...
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#1Ingrid Masson (French Institute of Health and Medical Research)H-Index: 10
#2Ronrick Da-ano (French Institute of Health and Medical Research)H-Index: 3
Last. Ulrike Schick (French Institute of Health and Medical Research)H-Index: 23
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Purpose To develop a radiomic model predicting non-response to induction chemotherapy in laryngeal cancers, from multicenter pre-therapeutic contrast-enhanced computed tomography (CE-CT) and evaluate the benefit of features harmonization in such a context. Methods Patients (n=104) eligible for laryngeal preservation chemotherapy were included in 5 centers. Primary tumor was manually delineated on the CE-CT images. The following radiomic features were extracted with an in-house software (MIRAS v1...
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#1François LuciaH-Index: 7
#2V. BourbonneH-Index: 4
Last. Ulrike SchickH-Index: 23
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Standard treatment for locally advanced cervical cancer (LACC) is chemoradiotherapy followed by brachytherapy. Despite radiation therapy advances, the toxicity rate remains significant. In this study, we compared the prediction of toxicity events after radiotherapy for locally advanced cervical cancer (LACC), based on either dose-volume histogram (DVH) parameters or the use of a radiomics approach applied to dose maps at the voxel level. Toxicity scores using the Common Terminology Criteria for ...
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#1Marta Da Silva Ferreira (University of Liège)
#2Pierre LovinfosseH-Index: 6
Last. Roland Hustinx (University of Liège)H-Index: 53
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1406 Objectives: To test the performances of native and tumour to liver ratio (TLR) radiomic features extracted from pre-treatment 2-[18F] fluoro-2-deoxy-D-glucose ([18F]FDG) PET/CT and combined with machine learning (ML) for predicting disease free survival (DFS) in patients with locally advanced cervical cancer (LACC). Methods: One hundred fifty-eight patients with LACC from multiple centers were retrospectively included in the study. Tumours were segmented using the Fuzzy Local Adaptive Bayes...
Conventional MRI plays a key role in the management of patients with high grade glioma but multiparametric MRI and PET tracers could provide further information to better characterize the tumor metabolism and heterogeneity, by identifying the regions having a high risk of recurrence. In this study, we focused on the proliferation, hypervascularization and hypoxia, all factors considered as factors of poor prognosis. They were assessed by measuring the uptake of 18F-FLT, the rCBV maps and the upt...
#1Da-ano Ronrick (French Institute of Health and Medical Research)
#2François Lucia (French Institute of Health and Medical Research)H-Index: 7
Last. Mathieu Hatt (French Institute of Health and Medical Research)H-Index: 39
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40 Purpose: Radiomic features are potential imaging biomarkers for prognosis and predictive modeling in oncology. Selection of features sufficiently robust or even completely insensitive to the variability of imaging characteristics in multicenter data (scanner mode, acquisition protocols and/or reconstruction settings), may help building robust models, however it also may lead to loss of potentially useful information (predictive features are being discarded beforehand). Our goal was to compare...
#1Erwan L'Her (University of Western Brittany)H-Index: 23
#2Souha Nazir (University of Western Brittany)H-Index: 2
Last. Dimitris Visvikis (University of Western Brittany)H-Index: 55
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Tidal volume monitoring may help minimize lung injury during respiratory assistance. Surface imaging using time-of-flight camera is a new, non-invasive, non-contact, radiation-free, and easy-to-use technique that enables tidal volume and respiratory rate measurements. The objectives of the study were to determine the accuracy of Time-of-Flight volume (VTTOF) and respiratory rate (RRTOF) measurements at the bedside, and to validate its application for spontaneously breathing patients under high f...
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#1Riemer H. J. A. Slart (UT: University of Twente)H-Index: 54
#2Michelle C. Williams (BHF: British Heart Foundation)H-Index: 28
Last. Antti Saraste (TYKS: Turku University Hospital)H-Index: 42
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In daily clinical practice, clinicians integrate available data to ascertain the diagnostic and prognostic probability of a disease or clinical outcome for their patients. For patients with suspected or known cardiovascular disease, several anatomical and functional imaging techniques are commonly performed to aid this endeavor, including coronary computed tomography angiography (CCTA) and nuclear cardiology imaging. Continuous improvement in positron emission tomography (PET), single-photon emi...
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#1Shima Sepehri (French Institute of Health and Medical Research)
#2Olena Tankyevych (French Institute of Health and Medical Research)H-Index: 9
Last. Catherine Cheze Le Rest (French Institute of Health and Medical Research)H-Index: 26
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Machine learning (ML) algorithms for selecting and combining radiomic features into multiparametric prediction models have become popular; however, it has been shown that large variations in performance can be obtained by relying on different approaches. The purpose of this study was to evaluate the potential benefit of combining different algorithms into an improved consensus for the final prediction, as it has been shown in other fields. Methods: The evaluation was carried out in the context o...
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