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Krause-Eur J Med Res-2022.pdf 1,23MB
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1000 Titel
  • Consideration of specific key points improves outcome of decompression treatment in patients with endocrine orbitopathy: pre-/post-OP comparison and biomechanical simulation
1000 Autor/in
  1. Krause, Matthias |
  2. Neuhaus, Michael-Tobias |
  3. Sterker, Ina |
  4. Bartella, Alexander |
  5. Schönfeld, Annika |
  6. Lethaus, Bernd |
  7. Zimmerer, Rüdiger |
  8. Gladilin, Evgeny |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-06-13
1000 Erschienen in
1000 Quellenangabe
  • 27(1):92
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://dx.doi.org/10.1186/s40001-022-00709-9 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195310/ |
1000 Ergänzendes Material
  • http://creativecommons.org/publicdomain/zero/1.0/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Endocrine orbitopathy is typically treated by resecting orbital walls. This procedure reduces intraorbital pressure by releasing intraorbital tissue, effectively alleviating the symptoms. However, selection of an appropriate surgical plan for treatment of endocrine orbitopathy requires careful consideration because predicting the effects of one-, two-, or three-wall resections on the release of orbital tissues is difficult. Here, based on our experience, we describe two specific orbital sites ('key points') that may significantly improve decompression results. Methodological framework of this work is mainly based on comparative analysis pre- and post-surgery tomographic images as well as image- and physics-based simulation of soft tissue outcome using the finite element modelling of mechanical soft tissue behaviour. Thereby, the optimal set of unknown modelling parameters was obtained iteratively from the minimum difference between model predictions and post-surgery ground truth data. This report presents a pre-/post-surgery study indicating a crucial role of these particular key points in improving the post-surgery outcome of decompression treatment of endocrine orbitopathy which was also supported by 3D biomechanical simulation of alternative two-wall resection plans. In particular, our experimental results show a nearly linear relationship between the resection area and amount of tissue released in the extraorbital space. However, a disproportionately higher volume of orbital outflow could be achieved under consideration of the two special key points. Our study demonstrates the importance of considering natural biomechanical obstacles to improved outcomes in two-wall resection treatment of endocrine orbitopathy. Further investigations of alternative surgery scenarios and post-surgery data are required to generalize the insights of this feasibility study.
1000 Sacherschließung
lokal biomechanical simulation
lokal decompression surgery
lokal endocrine orbitopathy
lokal computer tomography data
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/S3JhdXNlLCBNYXR0aGlhcw==|https://orcid.org/0000-0003-3461-5364|https://frl.publisso.de/adhoc/uri/U3RlcmtlciwgSW5h|https://frl.publisso.de/adhoc/uri/QmFydGVsbGEsIEFsZXhhbmRlcg==|https://frl.publisso.de/adhoc/uri/U2Now7ZuZmVsZCwgQW5uaWth|https://frl.publisso.de/adhoc/uri/TGV0aGF1cywgQmVybmQ=|https://frl.publisso.de/adhoc/uri/WmltbWVyZXIsIFLDvGRpZ2Vy|https://orcid.org/0000-0002-6153-727X
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
  2. Projekt DEAL |
1000 Fördernummer
  1. E 9114/1‑1
  2. -
1000 Förderprogramm
  1. Open access fund
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6435413.rdf
1000 Erstellt am 2022-10-11T15:02:37.097+0200
1000 Erstellt von 325
1000 beschreibt frl:6435413
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Tue Nov 15 11:06:59 CET 2022
1000 Objekt bearb. Tue Nov 15 11:06:32 CET 2022
1000 Vgl. frl:6435413
1000 Oai Id
  1. oai:frl.publisso.de:frl:6435413 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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