PRIMORDIAL – An artificial intelligence (AI) driven prediction model to
detect risk factors for medication-related osteonecrosis of the jaws
Last modification : Tuesday, August 2, 2022
The OMFS-IMPATH research group relates to the development and validation of
surgical tools and image-based solutions to advance in oromaxillofacial
surgery, with an ultimate aim to obtain an optimized treatment outcome while
minimizing the peri- and postsurgical risks, such as neurovascular trauma.
You follow a doctoral track: you carry out scientific research in the field of
the described project, you go through the doctoral programme with the ultimate
goal of obtaining a doctorate.
Bone health equilibrium can be altered by disease and the use of medication.
Antiresorptive drugs are frequently used and highly effective to prevent bone
metastasis in patients with cancer. Yet, their use is associated with the
occurrence of medication-related osteonecrosis of the jaw (MRONJ), a
potentially debilitating side effect characterized by exposed necrotic bone in
the oral cavity, infection, and pain Although research on advanced MRONJ
lesions have been published, so far little is known on the early disease
stages, the initial imaging features and potential preventive measures related
to early detection and disease prediction. Likewise, radiological risk factors
to identify a successful outcome or therapy resistance have not yet been
described. Therefore, the main objective of this project is to build an
automated prediction model (radiomics) to allow prediction of MRONJ
induction and its response to treatment.
This could be reached by the following subobjectives:
1. To identify the radiological and genetically predisposing factors to
2. To describe risk factors influencing treatment outcome in patients with
In order to obtain the subobjectives, 2 studies will be carried out:
1. A prospective cohort study to follow-up patients at risk for MRONJ
development enabling to identify risk factors.
2. A retrospective cohort study in patients MRONJ that underwent surgical or
conservative treatment to identify radiological features associated with
In addition, you will provide teaching support including supervision of
You have a Master's degree in Biomedical Sciences, Dentistry or Medicine
and at least one honours degree.
You have an excellent knowledge of the English language, both spoken and
written. It is assumed that you can speak and write Dutch very well.
You have a good knowledge of Excel and basic knowledge of statistical
analysis. You have knowledge of interpreting medical imaging, more
specifically panoramic X-rays and Cone-beam CTs.
You have the ability to critically analyse theoretical texts and empirical
studies. You have a fluent writing style.
An important soft-skill is good communication, necessary to communicate
fluently between different departments and to be able to explain
everything to patients.
A plus is (a basic) knowledge of genetics.
You can work independently, but also work well in a team and show
You are able to carry out doctoral research under supervision.
We offer a full-time, fixed-term employment contract for one year, renewable
up to a maximum of four years. The intention is that the research will result
in a PhD after 4 years.
For more information please contact Prof. dr. Reinhilde Jacobs, tel.:
+3216332452, mail: email@example.com.
KU Leuven seeks to foster an environment where all talents can flourish,
regardless of gender, age, cultural background, nationality or impairments. If
you have any questions relating to accessibility or support, please contact us