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Information Management Unit (UGI)

The Information Management Unit (UGI) provides support to the clinical departments and management of the Institut Bordet.

The UGI carries out 4 particular missions:

  • An epidemiology mission – by developing, managing and operating the hospital Cancer Register and by incorporating into it data from multidisciplinary oncological consultations. In so doing it contributes actively to the Belgian Cancer Register and makes the hospital Cancer Register available as a research support and care quality evaluation tool.
  • An analysis and reporting mission in relation to the Institut’s activities, in particular by developing and maintaining a data warehouse.
  • An oncological clinical research mission in terms of methodology and statistics (single-centre and multicentre research, centralised at the Institut Bordet and elsewhere).
  • A website maintenance mission for the Institut Bordet.

Research projects

The UGI collaborates on many research projects at the request of the Institut Bordet clinical departments and of multicentre groups. It also develops its own projects, including:

Project 1

Identification and recording of relapse events in the Cancer Register

Our team

Marianne Paesmans, director (actuary)

The team
Lieveke Ameye, statistician
Sylvie Berckmans, data manager

Alain Barbason, analyst data warehouse
Laurent Dubreucq, data manager
Audrey Duinslaeger, data manager
Celine Hubeau, data manager
Aline Kayumba, data manager
Paulus Kristanto, statistician
Jamal Makran, data manager
Laetitia Martins, data manager
Michel Moreau, epidemiologist
Caroline Rasson, data manager
Bernard Schenk, data warehouse officer
Louise Vanderweerden, webmaster and secretariat


 Scientific publications

Right ventricular longitudinal fractional shortening: a substitute to right ventricular free wall longitudinal strain?

Authors : Unger P, Paesmans M, Vachiery JL, Rietz M, Amzulescu M, David-Cojocariu A
Year : 2022
Journal : Heart Vessels
Volume : 37
Pages : 426-433

Prediction of an Imminent Fracture After an Index Fracture - Models Derived From the Frisbee Cohort.

Authors : Iconaru L, Charles A, Baleanu F, Surquin M, Benoit F, Mugisha A, Moreau M, Paesmans M, Karmali R, Rubinstein M, Rozenberg S, Body JJ, Bergmann P
Year : 2022
Journal : J Bone Miner Res
Volume : 37
Pages : 59-67

Author Correction: FDG positron emission tomography imaging and ctDNA detection as an early dynamic biomarker of everolimus efficacy in advanced luminal breast cancer.

Authors : Gombos A, Venet D, Ameye L, Vuylsteke P, Neven P, Richard V, Duhoux FP, Laes JF, Rothe F, Sotiriou C, Paesmans M, Awada A, Guiot T, Flamen P, Piccart-Gebhart M, Ignatiadis M, Gebhart G
Year : 2022
Journal : NPJ Breast Cancer
Volume : 8
Pages : 38

Fragility fractures in postmenopausal women: development of 5-year prediction models using the FRISBEE study.

Authors : Baleanu F, Moreau M, Charles A, Iconaru L, Karmali R, Surquin M, Benoit F, Mugisha A, Paesmans M, Rubinstein M, Rozenberg S, Bergmann P, Body JJ
Year : 2022
Journal : J Clin Endocrinol Metab

Evaluation of the Comprehensive Geriatric Assessment (CGA) tool as a predictor of postoperative complications following major oncological abdominal surgery in geriatric patients.

Authors : Penning Y, El Asmar A, Moreau M, Raspé J, Dal Lago L, Pepersack T, Donckier V, Liberale G
Year : 2022
Journal : PLoS One
Volume : 17
Pages : e0264790