Karlijn H.J. Groenen

ORCID: 0000-0003-2055-2665
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About
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Research Areas
  • Spine and Intervertebral Disc Pathology
  • Management of metastatic bone disease
  • Medical Imaging and Analysis
  • Research Data Management Practices
  • Bone health and treatments
  • Spinal Fractures and Fixation Techniques
  • Scientific Computing and Data Management
  • Orthopaedic implants and arthroplasty
  • Renal cell carcinoma treatment
  • Lower Extremity Biomechanics and Pathologies
  • Stroke Rehabilitation and Recovery
  • Radiopharmaceutical Chemistry and Applications
  • Cancer Genomics and Diagnostics
  • Musculoskeletal pain and rehabilitation
  • Biomedical Text Mining and Ontologies
  • Spinal Cord Injury Research
  • Spinal Hematomas and Complications
  • Cancer Diagnosis and Treatment
  • Renal and Vascular Pathologies
  • Cerebral Palsy and Movement Disorders
  • Foot and Ankle Surgery
  • Medical Image Segmentation Techniques
  • AI in cancer detection
  • Infrared Thermography in Medicine
  • Bone health and osteoporosis research

Radboud University Medical Center
2014-2021

Radboud University Nijmegen
2014-2021

Radboud Institute for Molecular Life Sciences
2017-2018

University Medical Center
2017

Sint Maartenskliniek
2015

Background: Reconstructing the medial patellofemoral ligament (MPFL) has become a key procedure for stabilizing patella. Different techniques to reconstruct MPFL have been described: static in which graft is fixed rigidly bone or dynamic with soft tissue fixation. Static reconstruction most commonly used. However, deforms more easily and presumably functions like native MPFL. Purpose/Hypothesis: The aim of study was evaluate effect different fixation on pressures compared situation....

10.1177/0363546515594447 article EN The American Journal of Sports Medicine 2015-08-17

Existing methods to make data Findable, Accessible, Interoperable, and Reusable (FAIR) are usually carried out in a post hoc manner: after the research project is conducted collected. De-novo FAIRification, on other hand, incorporates FAIRification steps process of project. In medical research, often collected stored via electronic Case Report Forms (eCRFs) Electronic Data Capture (EDC) systems. By implementing de novo such system, reusability and, thus, scalability across projects can be...

10.1016/j.jbi.2021.103897 article EN cc-by Journal of Biomedical Informatics 2021-08-25

ABSTRACT Current finite element (FE) models predicting failure behavior comprise single vertebrae, thereby neglecting the role of posterior elements and intervertebral discs. Therefore, this study aimed to develop a more clinically relevant, case‐specific non‐linear FE model two functional spinal units able predict in terms (i) vertebra predicted fail; (ii) deformation specimens; (iii) stiffness; (iv) load failure. For purpose, we also studied effect different bone density–mechanical...

10.1002/jor.24117 article EN cc-by Journal of Orthopaedic Research® 2018-07-30

Abstract Background Patient data registries that are FAIR—Findable, Accessible, Interoperable, and Reusable for humans computers—facilitate research across multiple resources. This is particularly relevant to rare diseases, where often scarce scattered. Specific questions can be asked FAIR disease other resources without physically combining the data. Further, implies well-defined, transparent access conditions, which supports making sensitive as open possible closed necessary. Results We...

10.1186/s13023-021-02004-y article EN cc-by Orphanet Journal of Rare Diseases 2021-09-04

Study Design. Retrospective cohort study. Objective. To determine the predictive value of Spinal Instability Neoplastic Score (SINS) in a patients treated with radiotherapy for spinal bone metastases. Summary Background Data. Assessment stability metastatic disease is challenging and mostly done by relying on clinical experience, absence validated guidelines or an established predetermined set risk factors. The SINS provides clinicians tool to assess tumor-related instability. Methods. A...

10.1097/brs.0000000000002058 article EN Spine 2017-01-06

Abstract Background Patient data registries that are FAIR - Findable, Accessible, Interoperable, and Reusable for humans computers facilitate research across multiple resources. This is particularly relevant to rare diseases, where often scarce scattered. Specific questions can be asked disease other resources without physically combining the data. Results We successfully developed implemented a process of making registry vascular anomalies from its conception de novo . Here, we describe...

10.1101/2020.12.12.20245951 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-12-14

Introduction Existing methods to make data Findable, Accessible, Interoperable, and Reusable (FAIR) are usually carried out in a post-hoc manner: after the research project is conducted collected. De-novo FAIRification, on other hand, incorporates FAIRification steps process of project. In medical research, often collected stored via electronic Case Report Forms (eCRFs) Electronic Data Capture (EDC) systems. By implementing de-novo such system, reusability and, thus, scalability across...

10.1101/2021.03.04.21250752 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-03-08

Background: Connecting currently existing, heterogeneous rare disease (RD) registries would greatly facilitate epidemiological and clinical research. To increase their interoperability, the European Union developed a set of Common Data Elements (CDEs) for RD registries.

10.3233/shti200085 article EN Studies in health technology and informatics 2020-01-01
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