Prof. Dr. Rüdiger von Eisenhart-Rothe
Academic Career and Research Areas
The major focus of Professor von Eisenhart-Rothe (b. 1971) is on regenerative medicine/osteoarthritis research, osteo-oncology and joint replacement surgery. The methods used include imaging, virtual planning, navigation, cell and health care research. Within the field of joint replacement surgery his current focus is on the functionalization of surfaces and implant associated infections, within the field of osteoarthritis research it is on the analysis of the effects of different stimuli on the joint cartilage in the bioreactor, and within the field of sarcoma research it is on the virtual planning and navigation, psycho-oncology and the biological reconstruction of musculoskeletal disorders.
Professor von Eisenhart-Rothe studied medicine at LMU Munich and completed a distance education program in business administration at the University of Hagen. In 2006 he acquired his postdoctoral teaching qualification in the Department of Orthopedic Surgery at Friedrichsheim University Hospital in Frankfurt. In 2009 he was appointed senior physician in the Department of Orthopedics and Sports Orthopedics at Klinikum rechts der Isar. Since 2012 he has been head of the Department of Orthopedics at TUM and is director of the Department of Orthopedics and Sports Orthopedics at Klinikum rechts der Isar.
Awards
- Recipient of the Perthes Prize awarded by DVSE, the German Society for Shoulder and Elbow Surgery (2003, 2010)
Key Publications (all publications)
Lazic I, Hinterwimmer F, Langer S, Pohlig F, Suren C, Seidl F, Rückert D, Burgkart R, von Eisenhart-Rothe R. Prediction of Complications and Surgery Duration in Primary Total Hip Arthroplasty Using Machine Learning: The Necessity of Modified Algorithms and Specific Data. J Clin Med. 2022 Apr 12;11(8):2147. doi: 10.3390/jcm11082147. PMID: 35456239; PMCID: PMC9032696.
AbstractHinterwimmer F, Lazic I, Langer S, Suren C, Charitou F, Hirschmann MT, Matziolis G, Seidl F, Pohlig F, Rueckert D, Burgkart R, von Eisenhart-Rothe R. Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty-specific data. Knee Surg Sports Traumatol Arthrosc. 2023 Apr;31(4):1323-1333. doi: 10.1007/s00167-022-06957-w. Epub 2022 Apr 8. PMID: 35394135; PMCID: PMC10050062.
AbstractHinterwimmer F, Lazic I, Suren C, Hirschmann MT, Pohlig F, Rueckert D, Burgkart R, von Eisenhart-Rothe R. Machine learning in knee arthroplasty: specific data are key-a systematic review. Knee Surg Sports Traumatol Arthrosc. 2022 Feb;30(2):376-388. doi: 10.1007/s00167-021-06848-6. Epub 2022 Jan 10.PMID: 35006281 Free PMC article. Review.
AbstractObermeier A, Schneider J, Harrasser N, Tübel J, Mühlhofer H, Pförringer D, Deimling CV, Foehr P, Kiefel B, Krämer C, Stemberger A, Schieker M, Burgkart R, von Eisenhart-Rothe R. Viable adhered Staphylococcus aureus highly reduced on novel antimicrobial sutures using chlorhexidine and octenidine to avoid surgical site infection (SSI). PLoS One. 2018 Jan 9;13(1):e0190912. doi: 10.1371/journal.pone.0190912. eCollection 2018.
AbstractMühlhofer HML, Knebel C, Pohlig F, Feihl S, Harrasser N, Schauwecker J, von Eisenhart-Rothe R. Synovial aspiration and serological testing in two-stage revision arthroplasty for prosthetic joint infection: evaluation before reconstruction with a mean follow-up of twenty seven months. Int Orthop. 2018 Feb;42(2):265-271. doi: 10.1007/s00264-017-3700-2. Epub 2017 Dec 14. PMID: 29243060.
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