Letteratura scientifica selezionata sul tema "Cancer du sein – Imagerie par résonance magnétique"
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Articoli di riviste sul tema "Cancer du sein – Imagerie par résonance magnétique":
Thille, A., F. Ledure e F. Kridelka. "Imagerie par résonance magnétique du cancer du col utérin". EMC - Radiologie et imagerie médicale - Génito-urinaire - Gynéco-obstétricale - Mammaire 8, n. 2 (aprile 2013): 1–13. http://dx.doi.org/10.1016/s1879-8543(13)60531-5.
Sato, Kenichiro, e Yasuyoshi Fukushima. "Imagerie par résonance magnétique de diffusion : cancer de l’endomètre". Journal of Obstetrics and Gynaecology Canada 39, n. 2 (febbraio 2017): 70. http://dx.doi.org/10.1016/j.jogc.2016.12.010.
Cornud, F., A. Villers, P. Mongiat-Artus, X. Rebillard e M. Soulie. "Imagerie par résonance magnétique et cancer de la prostate". Progrès en Urologie 18, n. 10 (novembre 2008): 621–33. http://dx.doi.org/10.1016/j.purol.2008.06.006.
Ben Haj Amor, Mariem, Loïc Ploton, Luc Ceugnart e Sophie Taïeb. "Imagerie par résonance magnétique des tumeurs desmoïdes : critères d’évaluations actuels". Bulletin du Cancer 107, n. 3 (marzo 2020): 359–63. http://dx.doi.org/10.1016/j.bulcan.2019.11.009.
LAFOURCADE, P., P. RUMEAU, S. DE RÉGLOIX e P. H. SAVOIE. "Pathologies traumatiques de l’articulation tibio-fibulaire proximale : revue de la littérature à propos d’un cas". Médecine et Armées Vol. 42 No. 2, Volume 42, Numéro 2 (1 aprile 2014): 171–76. http://dx.doi.org/10.17184/eac.6990.
BENYAHIA Radia, GUENDOUZ Hamida, CHAHER Nabila e BENDIB Salah Eddine. "Particularités en imagerie du cancer du sein de la femme jeune de moins de 35 ans." Journal Africain d Imagerie Médicale (J Afr Imag Méd) Journal Officiel de la Société de Radiologie d’Afrique Noire Francophone (SRANF) 16, n. 1 (10 maggio 2024): 1–9. http://dx.doi.org/10.55715/jaim.v16i1.533.
Brisson, C., C. Diguisto, A. Vildé, G. Body, F. Arbion, J. Leveque e L. Ouldamer. "Performances de l’imagerie par résonance magnétique au cours des chimiothérapies néoadjuvantes du cancer du sein pour prédire la réponse pathologique complète". Journal of Gynecology Obstetrics and Human Reproduction 46, n. 2 (febbraio 2017): 147–54. http://dx.doi.org/10.1016/j.jogoh.2016.11.003.
Mjaess, G., A. Peltier, J. Roche, E. Lievore, V. Lacetera, G. Chiacchio, V. Beatrici et al. "Un nouveau nomogramme pour identifier les candidats à une thérapie focale chez les patients atteints d’un cancer de la prostate localisé diagnostiqué par des biopsies systématiques et ciblées par imagerie par résonance magnétique : une etude multicentrique européenne". Progrès en Urologie - FMC 33, n. 3 (novembre 2023): S17. http://dx.doi.org/10.1016/j.fpurol.2023.07.027.
Diallo, AC, PS Dieng, MB Ba, JA Thiam, K. Ka, D. Diouf, MM Dieng, S. Ka, PM Gaye e A. Dem. "C48: Prise en charge du cancer de l’endomètre à l’Institut Joliot de Curie de Dakar". African Journal of Oncology 2, n. 1 Supplement (1 marzo 2022): S21. http://dx.doi.org/10.54266/ajo.2.1s.c48.wlxw3892.
Admin - JAIM. "Résumés des conférences JRANF 2021". Journal Africain d'Imagerie Médicale (J Afr Imag Méd). Journal Officiel de la Société de Radiologie d’Afrique Noire Francophone (SRANF). 13, n. 3 (17 novembre 2021). http://dx.doi.org/10.55715/jaim.v13i3.240.
Tesi sul tema "Cancer du sein – Imagerie par résonance magnétique":
Plassat, Vincent. "Liposomes superparamagnétiques stabilisés stériquement pour l'imagerie IRM et la thérapie des cancers à tumeurs solides : étude in vitro et in vivo de la vectorisation magnétique d'un anti-ostrogène sur un modèle tumoral de cancer du sein". Paris 11, 2010. http://www.theses.fr/2010PA114841.
This work concerns the use of PEG-ylated superparamagnetic liposomes (MFLs) for magnetic targeting of the anti-estrogen RU 58668 towards breast cancer tumors after intravenous injection. Pharmacokinetic parameters and biodistribution of MFLs were first studied on mice, especially highlighting long-circulating behaviour of MFLs with a 12. 5-hour half-life. Incorporation of the anticancer drug leads to stable mixed vesicles (RU-MFLs) as shown by DSC and XRD. In vitro investigations, mainly by confocal fluorescence and electron microscopies, magnetophoresis and transcription assay, reveal that RU-MFLs penetrate MCF-7 cells through endocytosis as intact structures and the association yield is increased by applying a magnetic field gradient to the cells. The in-vivo study on MCF-7 tumor xenografted on mice definitively validates the effectiveness of magnetic targeting via the vascular compartment from MR or fluorescence imaging, histological and immunohistochemical analyzes and biodistribution insight. RU-MFLs appear as a potentially interesting tool for estrogen-dependent breast cancer treatment with the advantage to combine therapy and MRI diagnosis
Saillard-Renault, Christine. "IRM et microcalcifications mammaires : à propos de 100 cas". Montpellier 1, 1996. http://www.theses.fr/1996MON11135.
Delbany, Maya. "Acquisition IRM optimisée en vue du dépistage du cancer du sein". Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0018.
Diffusion-weighted imaging (DWI) is a promising tool to increase the specificity of MRI for breast cancer screening. However, the field of view covering the breasts makes the DWI at high resolution difficult and the images obtained have low signal-to-noise ratios (SNR). The current DWI techniques are limited by the spatial resolution, mainly a slice thickness greater than or equal to 3 mm. In this work, an isotropic DWI method was developed to obtain high resolution isotropic images (1x1x1 mm3) covering the entire breast. These images are obtained by combining: (i) a readout-segmented DW-EPI sequence (rs-EPI), with several segments of k-space and echo navigator providing high in-plane resolution, (ii) a super-resolution (SR) strategy, which consists of acquiring three datasets with thick slices (3 mm) and 1mm-shifts in the slice direction, (iii) and combining them into a 1x1x1 mm3 dataset using a dedicated reconstruction. Several SR reconstruction schemes were investigated, based on different regularizations. The proposed SR strategy was compared to native 1x1x1 mm3 acquisitions (i.e. with 1 mm slice thickness) on eight healthy subjects, and synthetics phantoms. To validate the SR method, we used several methods: Monte Carlo simulations, SNR measurements and sharpness metrics, the apparent diffusion coefficient (ADC) values in normal breast tissue and breast diffusion/resolution phantom were also compared. A new clinical research protocol is proposed to evaluate the effectiveness of the high resolution diffusion sequence on breast cancer screening. The aim of this protocol is to replace the contrast-enhanced perfusion by the diffusion sequence for screening
Ayestaran-Kraus, Christine. "Intérêt de l'IRM dans la surveillance des patientes traitées pour un cancer du sein, de façon conservatrice". Bordeaux 2, 1999. http://www.theses.fr/1999BOR23002.
Rousseau, Loi͏̈c. "Etude des rehaussements du sein en IRM (à propos de 137 cas issus d'une série de 260 patientes) en pratique médicale courante dans une consultation des maladies du sein". Montpellier 1, 1996. http://www.theses.fr/1996MON11040.
Bertino, Catherine. "Fraction volumique extracellulaire et vascularisation des tumeurs mammaires : évaluation par relaxométrie dynamique en imagerie de résonance magnétique". Toulouse 3, 2003. http://www.theses.fr/2003TOU30133.
Delbany, Maya. "Acquisition IRM optimisée en vue du dépistage du cancer du sein". Thesis, Université de Lorraine, 2019. http://www.theses.fr/2019LORR0018/document.
Diffusion-weighted imaging (DWI) is a promising tool to increase the specificity of MRI for breast cancer screening. However, the field of view covering the breasts makes the DWI at high resolution difficult and the images obtained have low signal-to-noise ratios (SNR). The current DWI techniques are limited by the spatial resolution, mainly a slice thickness greater than or equal to 3 mm. In this work, an isotropic DWI method was developed to obtain high resolution isotropic images (1x1x1 mm3) covering the entire breast. These images are obtained by combining: (i) a readout-segmented DW-EPI sequence (rs-EPI), with several segments of k-space and echo navigator providing high in-plane resolution, (ii) a super-resolution (SR) strategy, which consists of acquiring three datasets with thick slices (3 mm) and 1mm-shifts in the slice direction, (iii) and combining them into a 1x1x1 mm3 dataset using a dedicated reconstruction. Several SR reconstruction schemes were investigated, based on different regularizations. The proposed SR strategy was compared to native 1x1x1 mm3 acquisitions (i.e. with 1 mm slice thickness) on eight healthy subjects, and synthetics phantoms. To validate the SR method, we used several methods: Monte Carlo simulations, SNR measurements and sharpness metrics, the apparent diffusion coefficient (ADC) values in normal breast tissue and breast diffusion/resolution phantom were also compared. A new clinical research protocol is proposed to evaluate the effectiveness of the high resolution diffusion sequence on breast cancer screening. The aim of this protocol is to replace the contrast-enhanced perfusion by the diffusion sequence for screening
Poujol, Julie. "Techniques d'acquisitions et reconstructions IRM rapides pour améliorer la détection du cancer du sein". Electronic Thesis or Diss., Université de Lorraine, 2017. http://www.theses.fr/2017LORR0143.
Breast cancer is nowadays the first cause of female cancer and the first cause of female death by cancer. Breast MRI is only performed in second intention when other imaging modalities cannot lead to a confident diagnosis. In high risk women population, breast MRI is recommended as an annual screening tool because of its higher sensitivity to detect breast cancer. Breast MRI needs contrast agent injection to visualize enhancing lesions and the diagnosis is mostly based on morphological analysis of these lesions. Therefore, an acquisition with high spatial resolution is needed. Despite the use of conventional MRI acceleration techniques, the volume of data to be acquired remains quite large and the temporal resolution of the exam is around one minute. This low temporal resolution may be the cause of the low specificity of breast MRI exam. Breast MRI with higher temporal resolution will allow the use of pharmacokinetic models to access physiological parameters and lesion specifications. The main aim of this work is to develop a MRI sequence allowing a flexible use of the acquired data at the reconstruction stage. On the one hand, the images can be reconstructed with a conventional reconstruction like the protocol used in clinical routine. On the other hand, the new MRI sequence will also allow the reconstruction of images with a higher temporal resolution allowing the use of pharmacokinetic models. The development of this sequence was done by modifying the acquisition order in the Fourier domain. A random acquisition of the Fourier domain will allow the reconstruction of sub-sampled domains acquired faster. We paid attention to fat suppression efficiency with this new Fourier domain acquisition order. Tests were performed on phantom, female volunteers and patients. These tests showed that the random acquisition did not impact the quality of images (MRI signal and lesion morphology) obtained by conventional reconstruction thus allowing the conventional diagnosis. The reconstructions of the sub-sampled Fourier domains were made using Compressed Sensing reconstructions to remove sub-sampling artifacts. These reconstructions were developed and tested on digital phantoms reproducing breast MRI. The potential of this new MRI acquisition was tested on an artificial enhancing breast lesion developed especially for this purpose
Balleyguier, Corinne. "Elastographie-IRM pour le diagnostic et la caractérisation des lésions du sein". Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00824882.
Boughdad, Sarah. "Contributions of radiomics in ¹⁸F-FDG PET/CT and in MRI in breast cancer". Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS500.
Breast cancer is a common disease for which ¹⁸F-FDG PET/CT and breast MRI are frequently performed in routine practice. However, the different information provided by each of these imaging techniques are currently under-exploited. Indeed, in routine the interpretation of these scans is mainly based on visual analysis whereas the « quantitative » analysis of PET/CT data is generally limited to the sole use of the SUVmax while in breast MRI, simple parameters to characterize tumor enhancement after injection of contrast medium are used. The advent of PET/MRI machines, calls for an evaluation of the contribution of a more advanced quantification of each of the modalities separately and in combination in the setting of breast cancer. This is along with the concept of « Radiomics » a field currently expanding and which consists in extracting many quantitative characteristics from medical images used in clinical practice to decipher tumor heterogeneity or improve prediction of prognosis. The aim of our work was to study the contribution of radiomic data extracted from ¹⁸F-FDG PET and MRI imaging with contrast injection to characterize tumor heterogeneity in breast cancer taking into account the different molecular subtypes of breast cancer, namely luminal (Lum A, Lum B HER2- and Lum B HER2 +), triple-negative and HER2 + tumors. In this context, we focused on the prediction of prognosis in patients treated with neo-adjuvant chemotherapy. The influence of physiological variations such as age on the calculation of radiomic data in normal breast and breast tumors separately was also explored, as well as the multi-center variability of radioman features. Radiomic features were extracted using the LiFex software developed within IMIV laboratory. The patient database used for the studies were all retrospective data. We reported for the first time the influence of age on the values of radiomic features in healthy breast tissue in patients recruited from 2 different institutions but also in breast tumors especially those with a triple-negative subtype. Similarly, significant associations between the radiomic tumor phenotype in PET and MRI imaging and well-established prognostic factors in breast cancer have been identified. In addition, we showed a large variability in the PET « radiomic profile » of breast tumors with similar breast cancer subtype suggesting complementary information within their metabolic phenotype defined by radiomic features. Moreover, taking into account this variability has been shown to be of particular interest in improving the prediction of pathological response in patients with triple-negative tumors treated with neoadjuvant chemotherapy. A peri-tumoral breast tissue region satellite to the breast tumor was also investigated and appeared to bear some prognostic information in patients with Lum B HER2- tumors treated with neoadjuvant chemotherapy. In MR, we demonstrated the need to harmonize the methods for radiomic feature calculation. Overall, we observed that radiomic features derived from MR were less informative about the molecular features of the tumors than radiomic features extracted from PET data and were of lower prognostic value. Yet, the combination of the enhanced tumor volume in MR with a PET radiomic feature and the tumor molecular subtype yielded enhanced the accuracy with which response to neoadjuvant therapy could be predicted compared to features from one modality only or molecular subtype only
Libri sul tema "Cancer du sein – Imagerie par résonance magnétique":
Petrén-Mallmin, Marianne. Clinical and experimental imaging of breast cancer metastases in the spine. Copenhagen: Munksgaard, 1994.
Yankeelov, Thomas. Quantitative MRI in cancer. Boca Raton: Taylor & Francis, 2011.
Yankeelov, Thomas, Thomas E. Yankeelov, David R. Pickens e Ronald R. Price. Quantitative MRI in Cancer. Taylor & Francis Group, 2011.