Research Research groups Plastic surgery research & Innovation lab

About this research group

This research group is continuously aiming to find the latest and best methods to treat patients that visit the department of Plastic Surgery.

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About this research group

The Department of Plastic Surgery focuses on providing care for patients by restoring the shape and function of a body part. Intertwined with clinical care, the Plastic Surgery Research & Innovation Lab is continuously aiming to find the latest and best methods to treat our patients.

During the treatment of patients, valuable data is being generated. The collection of this data allows us to process and model the clinical outcome of surgical procedures, such as function, patient satisfaction, pain scores, and scar assessment.

We try to answer the question which procedure is the best for each individual patient, innovate in surgical and technical techniques, and improve post-operative care. We utilize the latest technologies such as 4D CT scanning, 3D printing and 3D stereophotogrammetry to evaluate our clinical outcomes and improve on them during our planning process. This patient-specific process focuses on creating a tailored surgical planning which is transferred onto the patient via augmented and mixed reality. Other innovations such as continuous patient monitoring provide post-operative health data. Via serious gaming patients are motivated during their recovery and their progress is analyzed by our health care providers.

Finally, during transplantation of tissue, we aim to find methods to prolong the ischemic time between procurement and transplantation without decreasing tissue quality. Hence, our main research lines are ‘Prediction modeling & outcomes’, ‘Technical innovations’ and ‘Wound healing & scarring’.

Research group leader

prof. dr. Dietmar Ulrich

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Aims

Our group has several aims.

  • Predict which indicated surgery yields the highest patient outcome
  • Improve on surgeries by reviewing and combining pre- and post-operative data
  • Develop innovative methods to motivate patients during revalidation
  • Decrease workload of health care providers via innovation
  • Find methods to prolong vascularized composite allotransplantation time