Detail

Keywords

Anterior Cruciate Ligament Reconstruction; Cartilage; Cartilage Diseases; Osteoarthritis, Knee; Temporomandibular Joint Disorders; Ultrahigh field MRI

Research group(s)

• Musculoskeletal Imaging
  Head: Peter Mandl
  Research Area: Optimisation of existing- and development of novel imaging methods to investigate the musculoskeletal system in rheumatic & musculoskeletal diseases.
  Members:
  Peter Mandl
  Paul Studenic
  Pavol Szomolanyi

Research interests

My main research focus is diagnostics and quantitative evaluation of articular cartilage, mainly human knee cartilage, uncle cartilage, small joints of the hand, temporo-mandibular joint disorders and intervertebral discs problem.

Diagnostics of the cartilage repair using quantitative MRI provides extremely useful tool for the colleagues from the clinic, which are developing modern research methods in order to restore cartilage into the functional status.

Besides local cartilage damage I focus on the Osteoarthritis - the research of age-related systemic cartilage damage.

Techniques, methods & infrastructure

High Field and Ultra high-field MRI technique, providing parametric maps (T2, T2*, T1) for quantitative evaluation of cartilage maturation process in the post-surgery period.

3D techniques (DESS), which is subsequently used for volumetric quantification of cartilage properties.

GLCM (Gray-level co-occurrence matrix - second-order texture analysis technique used to quantify image heterogeneity by measuring how often pairs of voxels with specific intensities occur in a spatial relationship.

Selected publications

1. Springer, E. et al. (2022) ‘MR Fingerprinting—A Radiogenomic Marker for Diffuse Gliomas’, Cancers, 14(3), p. 723. Available at: http://dx.doi.org/10.3390/cancers14030723.
2. Szomolanyi, P. et al. (2019) ‘Comparison of the Relaxivities of Macrocyclic Gadolinium-Based Contrast Agents in Human Plasma at 1.5, 3, and 7 T, and Blood at 3 T’, Investigative Radiology, 54(9), pp. 559–564. Available at: http://dx.doi.org/10.1097/rli.0000000000000577.
3. Juras, V. et al. (2021) ‘Differentiation of Cartilage Repair Techniques Using Texture Analysis from T2 Maps’, CARTILAGE, 13(1_suppl), pp. 718S-728S. Available at: http://dx.doi.org/10.1177/19476035211029698.
4. Trattnig, S. et al. (2006) ‘MR imaging of osteochondral grafts and autologous chondrocyte implantation’, European Radiology, 17(1), pp. 103–118. Available at: http://dx.doi.org/10.1007/s00330-006-0333-z.
5. Trattnig, S. et al. (2007) ‘Quantitative T2 Mapping of Matrix-Associated Autologous Chondrocyte Transplantation at 3 Tesla’, Investigative Radiology, 42(6), pp. 442–448. Available at: http://dx.doi.org/10.1097/01.rli.0000262088.67368.49.