Florence Colliez
Université catholique de Louvain
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Publication
Featured researches published by Florence Colliez.
Magnetic Resonance in Medicine | 2013
Bénédicte F. Jordan; Julie Magat; Florence Colliez; Elif Ozel; Anne-Catherine Fruytier; Valérie Marchand; Lionel Mignion; Caroline Bouzin; Patrice D. Cani; Caroline Vandeputte; Olivier Feron; Nathalie M. Delzenne; Uwe Himmelreich; Vincent Denolin; Thierry Duprez; Bernard Gallez
Because of its paramagnetic properties, oxygen may act as an endogenous magnetic resonance imaging contrast agent by changing proton relaxation rates. Changes in tissue oxygen concentrations have been shown to produce changes in relaxation rate R1 of water. The aim of the study was to improve the sensitivity of oxygen enhanced R1 imaging by exploiting the higher solubility of oxygen in lipids (as compared with water) to sensitively monitor changes in tissue oxygen levels by selectively measuring the R1 of lipids.
Clinical Cancer Research | 2014
Florence Colliez; Marie-Aline Neveu; Julie Magat; Thanh Trang Cao Pham; Bernard Gallez; Bénédicte F. Jordan
Purpose: Although hypoxia has been long recognized as a crucial factor impairing tumor response in many therapeutic schemes, atraumatic and reliable methods of individually quantifying tumor oxygenation are still lacking in day-to-day clinical practice. The aim of this work was to investigate the potentially quantitative properties of our recently described noninvasive magnetic resonance (MR) technique “MOBILE” (mapping of oxygen by imaging lipids relaxation enhancement) and to qualify this endogenous contrast as a tumor hypoxia marker. Experimental Design: The “MOBILE” technique, which assesses the longitudinal MR relaxation rate, R1, of lipid protons, was benchmarked with the parent technique which assesses the global (or water) R1, in response to a hyperoxic challenge (carbogen breathing) and to a hypoxic challenge (combretastatin A4) in MDA-MB-231 xenografts and in NT2 mammary tumors. Electron paramagnetic resonance (EPR) oximetry was used to quantitatively assess the tumor pO2 in matching tumors longitudinally. Results and Conclusion: Our study evidenced that (i) positive and negative changes in tumor oxygenation can be detected using MOBILE; (ii) a change in the R1 of lipids is positively correlated with a change in the tumor pO2 (P = 0.0217, r = 0.5097); (iii) measured lipid R1 values are positively correlated with absolute pO2 values in both tumor models (P = 0.0275, r = 0.3726); and (iv) changes in the R1 of lipids are more sensitive than changes in the global R1. As this technique presents unique translational properties, it seems promising for the individual longitudinal monitoring of tumor oxygenation in a clinical setting. Clin Cancer Res; 20(21); 5403–11. ©2014 AACR.
Frontiers in Oncology | 2017
Florence Colliez; Bernard Gallez; Bénédicte F. Jordan
Tumor hypoxia is recognized as a limiting factor for the efficacy of radiotherapy, because it enhances tumor radioresistance. It is strongly suggested that assessing tumor oxygenation could help to predict the outcome of cancer patients undergoing radiation therapy. Strategies have also been developed to alleviate tumor hypoxia in order to radiosensitize tumors. In addition, oxygen mapping is critically needed for intensity modulated radiation therapy (IMRT), in which the most hypoxic regions require higher radiation doses and the most oxygenated regions require lower radiation doses. However, the assessment of tumor oxygenation is not yet included in day-to-day clinical practice. This is due to the lack of a method for the quantitative and non-invasive mapping of tumor oxygenation. To fully integrate tumor hypoxia parameters into effective improvements of the individually tailored radiation therapy protocols in cancer patients, methods allowing non-invasively repeated, safe, and robust mapping of changes in tissue oxygenation are required. In this review, non-invasive methods dedicated to assessing tumor oxygenation with the ultimate goal of predicting outcome in radiation oncology are presented, including positron emission tomography used with nitroimidazole tracers, magnetic resonance methods using endogenous contrasts (R1 and R2*-based methods), and electron paramagnetic resonance oximetry; the goal is to highlight results of studies establishing correlations between tumor hypoxic status and patients’ outcome in the preclinical and clinical settings.
Magnetic Resonance in Medicine | 2014
Anne-Catherine Fruytier; Julie Magat; Florence Colliez; Bénédicte F. Jordan; Greg O. Cron; Bernard Gallez
Quantitative dynamic contrast‐enhanced MRI requires an accurate arterial input function (AIF). At high field, increased susceptibility effects and decreased longitudinal relaxivity of contrast agents lead to predominant T2* effects in blood vessels, producing a dip in signal during passage of the contrast agent bolus. This study determined phase‐derived AIFs in mice at 11.7 T.
Advances in Experimental Medicine and Biology | 2013
Bénédicte F. Jordan; Julie Magat; Florence Colliez; Elif Ozel; Anne-Catherine Fruytier; Valérie Marchand; Lionel Mignion; Bernard Gallez
The aim of the study was to sensitively monitor changes in tumor oxygen using the MOBILE (mapping of oxygen by imaging lipids relaxation enhancement) technique. This method was applied in mammary tumor mouse models on an 11.7T Bruker MRI system. MOBILE was compared with functional imaging R2*, R1 of water and with pO2 measurements (using EPR oximetry and O2-dependent fluorescence quenching measurements). MOBILE was shown to be capable to monitor changes in oxygenation in tumor tissues.
Magnetic Resonance Imaging | 2016
Marta Maia da Cunha Oliveira Safronova; Florence Colliez; Julie Magat; Nicolas Joudiou; Bénédicte F. Jordan; Christian Raftopoulos; Bernard Gallez; Thierry Duprez
Availability of an innocuous and repeatable technique for monitoring tumor oxygenation throughout therapeutic course should be a key factor for adaptative therapeutic strategies. We previously qualified lipids R1 as a marker of oxygen level on experimental tumor models. The objectives of the present study were to assess the applicability of measuring lipids R1 in primary central nervous system malignancies in a clinical setting as well as to compare lipids R1 with global (water+lipids) R1 and R2* which are also sensitive to the oxygen environment. 25 patients with brain neuroepithelial tumors were examined on a clinical 3T MR system. Values obtained within regions of interest contouring contrast-enhanced tumor (C+), unenhanced tumor (C-), peritumoral edema, and normal appearing white matter (NAWM) were compared to those obtained for the normal brain parenchyma of 17 healthy volunteers. Global R1 and lipids R1 values were significantly lower in tumors than in NAWM of patients or healthy brain of normal volunteers. In contrast, R2* values were not significantly different in tumors compared to NAWM or healthy brains. None of them showed significant difference between C+ and C- tumors. Global R1 values within NAWM were significantly different from that of both tumor and peritumoral edema, but lacked sensitivity to differentiate between tumor and peritumoral edema. In turn, lipids R1 measurements enabled discrimination between tumor areas and peritumoral edema. In conclusion, global R1 and lipids R1 deserve further attention as potential markers of tumor hypoxia in primary brain tumors.
Magnetic Resonance in Medicine | 2016
Florence Colliez; Anne-Catherine Fruytier; Julie Magat; Marie-Aline Neveu; Patrice D. Cani; Bernard Gallez; Bénédicte F. Jordan
To benchmark MOBILE (Mapping of Oxygen By Imaging Lipid relaxation Enhancement), a recent noninvasive MR method of mapping changes in tumor hypoxia, electron paramagnetic resonance (EPR) oximetry, and dynamic contrast‐enhanced MRI (DCE‐MRI) as biomarkers of changes in tumor hemodynamics induced by the antivascular agent combretastatin A4 (CA4).
PLOS ONE | 2015
Florence Colliez; Marta Maia da Cunha Oliveira Safronova; Julie Magat; Nicolas Joudiou; André Peeters; Bénédicte F. Jordan; Bernard Gallez; Thierry Duprez
The clinical applicability of brain oxygenation mapping using the MOBILE (Mapping of Oxygen By Imaging Lipids relaxation Enhancement) magnetic resonance (MR) technique was assessed in the clinical setting of normal brain and of acute cerebral ischemia as a founding proof-of-concept translational study. Changes in the oxygenation level within healthy brain tissue can be detected by analyzing the spin-lattice proton relaxation (‘Global T 1 ’ combining water and lipid protons) because of the paramagnetic properties of molecular oxygen. It was hypothesized that selective measurement of the relaxation of the lipid protons (‘Lipids T 1 ’) would result in enhanced sensitivity of pO2 mapping because of higher solubility of oxygen in lipids than in water, and this was demonstrated in pre-clinical models using the MOBILE technique. In the present study, 12 healthy volunteers and eight patients with acute (48–72 hours) brain infarction were examined with the same clinical 3T MR system. Both Lipids R1 (R1 = 1/T1) and Global R1 were significantly different in the infarcted area and the contralateral unaffected brain tissue, with a higher statistical significance for Lipids R1 (median difference: 0.408 s-1; p<0.0001) than for Global R1 (median difference: 0.154 s-1; p = 0.027). Both Lipids R1 and Global R1 values in the unaffected contralateral brain tissue of stroke patients were not significantly different from the R1 values calculated in the brain tissue of healthy volunteers. The main limitations of the present prototypic version of the MOBILE sequence are the long acquisition time (4 min), hampering robustness of data in uncooperative patients, and a 2 mm slice thickness precluding accurate measurements in small infarcts because of partial volume averaging effects.
Magnetic Resonance in Medicine | 2014
Anne-Catherine Fruytier; Julie Magat; Bénédicte F. Jordan; Greg O. Cron; Florence Colliez; Bernard Gallez
In the article “Dynamic contrast-enhanced MRI in mice at high field: estimation of the arterial input function can be achieved by phase imaging,” by Fruytier et al. (Magn Reson Med. 2014;71:544–550), Figure 3 presents a scaling error. The time course of concentration in plasma (Cp) is not expressed in mM as mentioned on the axis, but in M. Here you will find the corrected Figure 3, expressed in mM.
International Journal of Radiation Oncology Biology Physics | 2016
Thanh-Trang Cao-Pham; Ly-Binh-An Tran; Florence Colliez; Nicolas Joudiou; Sabrina El Bachiri; Vincent Grégoire; Philippe Leveque; Bernard Gallez; Bénédicte F. Jordan
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Marta Maia da Cunha Oliveira Safronova
Université catholique de Louvain
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