FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2422051674> ?p ?o ?g. }

• W2422051674 endingPage "e0157346" @default.
• W2422051674 startingPage "e0157346" @default.
• W2422051674 abstract "The utility of biomechanical models and simulations to examine clinical problems is currently limited by the need for extensive amounts of experimental data describing how a given procedure or disease affects the musculoskeletal system. Methods capable of predicting how individual biomechanical parameters are altered by surgery are necessary for the efficient development of surgical simulations. In this study, we evaluate to what extent models based on limited amounts of quantitative data can be used to predict how surgery influences muscle moment arms, a critical parameter that defines how muscle force is transformed into joint torque. We specifically examine proximal row carpectomy and scaphoid-excision four-corner fusion, two common surgeries to treat wrist osteoarthritis. Using models of these surgeries, which are based on limited data and many assumptions, we perform simulations to formulate a hypothesis regarding how these wrist surgeries influence muscle moment arms. Importantly, the hypothesis is based on analysis of only the primary wrist muscles. We then test the simulation-based hypothesis using a cadaveric experiment that measures moment arms of both the primary wrist and extrinsic thumb muscles. The measured moment arms of the primary wrist muscles are used to verify the hypothesis, while those of the extrinsic thumb muscles are used as cross-validation to test whether the hypothesis is generalizable. The moment arms estimated by the models and measured in the cadaveric experiment both indicate that a critical difference between the surgeries is how they alter radial-ulnar deviation versus flexion-extension moment arms at the wrist. Thus, our results demonstrate that models based on limited quantitative data can provide novel insights. This work also highlights that synergistically utilizing simulation and experimental methods can aid the design of experiments and make it possible to test the predictive limits of current computer simulation techniques." @default.
• W2422051674 created "2016-06-24" @default.
• W2422051674 creator A5036089097 @default.
• W2422051674 creator A5044842373 @default.
• W2422051674 creator A5074706123 @default.
• W2422051674 date "2016-06-16" @default.
• W2422051674 modified "2023-10-13" @default.
• W2422051674 title "Surgical Simulations Based on Limited Quantitative Data: Understanding How Musculoskeletal Models Can Be Used to Predict Moment Arms and Guide Experimental Design" @default.
• W2422051674 cites W1968313324 @default.
• W2422051674 cites W1975952218 @default.
• W2422051674 cites W1979877126 @default.
• W2422051674 cites W1986885059 @default.
• W2422051674 cites W1994338297 @default.
• W2422051674 cites W1994819265 @default.
• W2422051674 cites W1995822293 @default.
• W2422051674 cites W2010000943 @default.
• W2422051674 cites W2010803505 @default.
• W2422051674 cites W2011035422 @default.
• W2422051674 cites W2014392203 @default.
• W2422051674 cites W2018939403 @default.
• W2422051674 cites W2022173157 @default.
• W2422051674 cites W2026711191 @default.
• W2422051674 cites W2026961232 @default.
• W2422051674 cites W2032351491 @default.
• W2422051674 cites W2044096319 @default.
• W2422051674 cites W2047601880 @default.
• W2422051674 cites W2049710262 @default.
• W2422051674 cites W2050071332 @default.
• W2422051674 cites W2053592319 @default.
• W2422051674 cites W2054347281 @default.
• W2422051674 cites W2055739638 @default.
• W2422051674 cites W2057623925 @default.
• W2422051674 cites W2058334209 @default.
• W2422051674 cites W2070031304 @default.
• W2422051674 cites W2070510586 @default.
• W2422051674 cites W2073680362 @default.
• W2422051674 cites W2077155346 @default.
• W2422051674 cites W2078854913 @default.
• W2422051674 cites W2082543871 @default.
• W2422051674 cites W2085151893 @default.
• W2422051674 cites W2087526920 @default.
• W2422051674 cites W2090253597 @default.
• W2422051674 cites W2093027732 @default.
• W2422051674 cites W2101465908 @default.
• W2422051674 cites W2104329840 @default.
• W2422051674 cites W2105261043 @default.
• W2422051674 cites W2111021377 @default.
• W2422051674 cites W2111214570 @default.
• W2422051674 cites W2113400161 @default.
• W2422051674 cites W2117073672 @default.
• W2422051674 cites W2117726443 @default.
• W2422051674 cites W2125927353 @default.
• W2422051674 cites W2127658628 @default.
• W2422051674 cites W2134926013 @default.
• W2422051674 cites W2135539342 @default.
• W2422051674 cites W2136384908 @default.
• W2422051674 cites W2136444266 @default.
• W2422051674 cites W2137757447 @default.
• W2422051674 cites W2150451027 @default.
• W2422051674 cites W2153305315 @default.
• W2422051674 cites W2154340588 @default.
• W2422051674 cites W2156482721 @default.
• W2422051674 cites W2160382929 @default.
• W2422051674 cites W2168511645 @default.
• W2422051674 cites W2168803447 @default.
• W2422051674 cites W2169508341 @default.
• W2422051674 cites W4233639809 @default.
• W2422051674 cites W2030748740 @default.
• W2422051674 doi "https://doi.org/10.1371/journal.pone.0157346" @default.
• W2422051674 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4911128" @default.
• W2422051674 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27310013" @default.
• W2422051674 hasPublicationYear "2016" @default.
• W2422051674 type Work @default.
• W2422051674 sameAs 2422051674 @default.
• W2422051674 citedByCount "6" @default.
• W2422051674 countsByYear W24220516742017 @default.
• W2422051674 countsByYear W24220516742018 @default.
• W2422051674 countsByYear W24220516742019 @default.
• W2422051674 countsByYear W24220516742020 @default.
• W2422051674 countsByYear W24220516742021 @default.
• W2422051674 countsByYear W24220516742023 @default.
• W2422051674 crossrefType "journal-article" @default.
• W2422051674 hasAuthorship W2422051674A5036089097 @default.
• W2422051674 hasAuthorship W2422051674A5044842373 @default.
• W2422051674 hasAuthorship W2422051674A5074706123 @default.
• W2422051674 hasBestOaLocation W24220516741 @default.
• W2422051674 hasConcept C105702510 @default.
• W2422051674 hasConcept C121332964 @default.
• W2422051674 hasConcept C141071460 @default.
• W2422051674 hasConcept C144171764 @default.
• W2422051674 hasConcept C170700871 @default.
• W2422051674 hasConcept C175696284 @default.
• W2422051674 hasConcept C179254644 @default.
• W2422051674 hasConcept C2776881184 @default.
• W2422051674 hasConcept C2778216619 @default.
• W2422051674 hasConcept C2779570749 @default.
• W2422051674 hasConcept C29694066 @default.
• W2422051674 hasConcept C41008148 @default.

• next