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Radiology – Medical Imaging

The radiology department of the Institut Jules Bordet  brings together the various medical imaging techniques, except for nuclear medicine.

The techniques concerned are:

  • conventional radiology (radiography including mammography and bone densitometry),
  • tomodensitometry (X-ray scanning), 
  • ultrasound (ultrasound imaging),
  • magnetic resonance imaging (MRI).

Although some interventional radiology techniques can have a therapeutic aim, the activities of the radiology department are mainly diagnostic. Our main tasks are:

  • the diagnostic identification of tumours, their extent and their complications,
  • the preparation of their treatment (in particular targeting the area to be irradiated),
  • monitoring the lesions under treatment.

These main tasks are performed in the context of a multidisciplinary collaboration. The radiology department therefore works closely with the nuclear medicine, medical, surgical and radiotherapy departments of the Institut Jules Bordet.

Research projects


  

Project 1

Development of a radiomics-based decision-making supporting tool for the management of pancreatic cancer patients
  • Project leader : Maria Antonietta Bali
  • Collaborations : Department of Gastroenterology Hopital Erasme, Department of Precision Medicine, Maastricht University

Project 2

ÉTUDE DE L’ANALYSE QUANTITATIVE DE LA CHOLINE PAR SPECTROSCOPIE RMN IN VIVO ET D’AUTRES PARAMÈTRES FONCTIONNELS EN IRM COMME MARQUEURS PRÉCOCES DE LA RÉPONSE À LA CHIMIOTHÉRAPIE NÉ-ADJUVANTE DANS LE CANCER DU SEIN

Project 3

Determination of a simplified prostatic MRI protocol as part of the initial detection of prostate cancer before biopsy with a view to targeted removal.

Project 4

Automated analysis methods of functional parameters (diffusion and tumoral vascularisation) in MRI as part of the diagnosis and monitoring of cancer lesions.
  • Project leader : Shih-Li Chao, Ig.
  • Collaboration : Erasmus University Hospitals, Magnetic Resonance Unit

 

Project 5

Advantages of whole-body MRI for the detection of metastatic lesions of the skeleton.

Project 6

Evaluation of variations in the quantitative vascular parameters of the hepatic perfusion CT when reducing the acquisition frequency with a view to dose reduction

Team

09/09/2020

 Scientific publications

Correction to: Combined quality and dose-volume histograms for assessing the predictive value of <sup>99m</sup>Tc-MAA SPECT/CT simulation for personalizing radioembolization treatment in liver metastatic colorectal cancer.

Authors : Levillain H, Burghelea M, Derijckere ID, Guiot T, Gulyban A, Vanderlinden B, Vouche M, Flamen P, Reynaert N
Year : 2021
Journal : EJNMMI Phys
Volume : 8
Pages : 9

EUS-guided placement of fiducial markers for stereotactic body radiation therapy in pancreatic cancer: feasibility, security and a new quality score.

Authors : Figueiredo M, Bouchart C, Moretti L, Mans L, Engelholm JL, Bali MA, Van Laethem JL, Eisendrath P
Year : 2021
Journal : Endosc Int Open
Volume : 9
Pages : E253-E257

Combined quality and dose-volume histograms for assessing the predictive value of <sup>99m</sup>Tc-MAA SPECT/CT simulation for personalizing radioembolization treatment in liver metastatic colorectal cancer.

Authors : Levillain H, Burghelea M, Derijckere ID, Guiot T, Gulyban A, Vanderlinden B, Vouche M, Flamen P, Reynaert N
Year : 2020
Journal : EJNMMI Phys
Volume : 7
Pages : 75

Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.

Authors : El Adoui M, Drisis S, Benjelloun M
Year : 2020
Journal : Int J Comput Assist Radiol Surg
Volume : 15
Pages : 1491-1500

COVID-19 Pneumonia Mimicking Immunotherapy-Induced Pneumonitis on 18F-FDG PET/CT in a Patient Under Treatment With Nivolumab.

Authors : Artigas C, Lemort M, Mestrez F, Gil T, Flamen P
Year : 2020
Journal : Clin Nucl Med
Volume : 45
Pages : e381-e382