Automatic Osteotomy Preoperative Planning for Forearm with Congenital Radioulnar Synostosis: A Dual Hierarchical Optimization Strategy | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Automatic Osteotomy Preoperative Planning for Forearm with Congenital Radioulnar Synostosis: A Dual Hierarchical Optimization Strategy Tianfeng Zhou, Ying Cui, Yubing Guo, Xinhua Zhou, Lu Liu, Shanlin Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3928090/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Dec, 2024 Read the published version in Scientific Reports → Version 1 posted 11 You are reading this latest preprint version Abstract Congenital radioulnar synostosis (CRUS) presents a complex forearm deformity, requiring precise osteotomy planning for anatomical restoration. This study proposes an automatic osteotomy preoperative planning method for forearms with CRUS. Proximal forearm bones are first aligned with the template forearm and then a dual hierarchical optimization (DHO) strategy is used to optimize the spatial transformation parameters of the distal fragment. The subsequent optimization aims to maximize the overlap of cross-sections between proximal and distal fragments. Rotational simulations are ultimately conducted to predict postoperative forearm rotational functionality. The DHO strategy effectively restores ideal forearm morphology, with maximum deviations of 1.66 and 2.13 mm for the ulna and radius, respectively. The deformity angles of forearm bones are reduced to 1.35°, 1.39°, 4.83°, 1.20°, 1.03°, and 8.56°. Rotation function analysis reveals a noticeable improvement in achievable rotation range compared to plans by senior surgeons. Automated mobilization osteotomy planning, using the DHO strategy, shows potential for individualized CRUS corrective surgery, offering comprehensive and precise preoperative guidance. Biological sciences/Computational biology and bioinformatics/Computational models Health sciences/Medical research/Paediatric research Health sciences/Anatomy/Musculoskeletal system/Bone Mobilization osteotomy Preoperative planning Congenital Radio-Ulnar Synostosis (CRUS) Forearm deformity Dual hierarchical optimization Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 28 Dec, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 22 Oct, 2024 Reviews received at journal 14 Oct, 2024 Reviewers agreed at journal 08 Oct, 2024 Reviewers agreed at journal 29 Aug, 2024 Reviews received at journal 06 May, 2024 Reviewers agreed at journal 15 Apr, 2024 Reviewers invited by journal 27 Mar, 2024 Editor assigned by journal 26 Mar, 2024 Editor invited by journal 18 Feb, 2024 Submission checks completed at journal 18 Feb, 2024 First submitted to journal 04 Feb, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3928090","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":273646447,"identity":"562c5693-66e3-47c6-ae39-2523dee91e0d","order_by":0,"name":"Tianfeng Zhou","email":"","orcid":"","institution":"Beijing Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Tianfeng","middleName":"","lastName":"Zhou","suffix":""},{"id":273646448,"identity":"25f20645-9f25-42cc-842c-f870bfb3a105","order_by":1,"name":"Ying Cui","email":"","orcid":"","institution":"Beijing Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Ying","middleName":"","lastName":"Cui","suffix":""},{"id":273646449,"identity":"498ad705-4ff6-4262-ad42-fde80de9870a","order_by":2,"name":"Yubing Guo","email":"","orcid":"","institution":"Beijing Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yubing","middleName":"","lastName":"Guo","suffix":""},{"id":273646450,"identity":"146d769d-af14-454e-8232-4cbabaaa572c","order_by":3,"name":"Xinhua Zhou","email":"","orcid":"","institution":"Beijing Jishuitan Hospital","correspondingAuthor":false,"prefix":"","firstName":"Xinhua","middleName":"","lastName":"Zhou","suffix":""},{"id":273646451,"identity":"e009d8d8-a355-4ec3-a781-9cd3437efd5a","order_by":4,"name":"Lu Liu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAArElEQVRIiWNgGAWjYDCCA8yNByQMJOTY2NsPEKuFseGARYGFMR/PmQQStFR8qEicJ+FgQJwOvtsHGw7cMJBIb5NgSGD4UbGNsBbJc4kNB2cYSOS2STceYOw5c5uwFoMzjA2HJUBaZA4kMDO2EavlD9BhbBIJBsRrAQVyAvFaJKFaDNuAgXyQKL/wnWE++EDiT528fHv7wQc/KojQggIOkKh+FIyCUTAKRgEuAACxDD/NcKRFvgAAAABJRU5ErkJggg==","orcid":"","institution":"Beijing Jishuitan Hospital","correspondingAuthor":true,"prefix":"","firstName":"Lu","middleName":"","lastName":"Liu","suffix":""},{"id":273646452,"identity":"fe2d29fb-1291-48e3-aa59-74d79caa9103","order_by":5,"name":"Shanlin Chen","email":"","orcid":"","institution":"Beijing Jishuitan Hospital","correspondingAuthor":false,"prefix":"","firstName":"Shanlin","middleName":"","lastName":"Chen","suffix":""}],"badges":[],"createdAt":"2024-02-04 15:47:59","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3928090/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3928090/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-024-80905-1","type":"published","date":"2024-12-28T15:57:30+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":72640599,"identity":"1a23ec3b-98ef-433d-b402-55777b6cfc64","added_by":"auto","created_at":"2024-12-30 16:07:22","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1205613,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript0217.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3928090/v1_covered_809aafa3-4ccc-442e-a729-882aa1f082e7.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Automatic Osteotomy Preoperative Planning for Forearm with Congenital Radioulnar Synostosis: A Dual Hierarchical Optimization Strategy","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Mobilization osteotomy, Preoperative planning, Congenital Radio-Ulnar Synostosis (CRUS), Forearm deformity, Dual hierarchical optimization","lastPublishedDoi":"10.21203/rs.3.rs-3928090/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3928090/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCongenital radioulnar synostosis (CRUS) presents a complex forearm deformity, requiring precise osteotomy planning for anatomical restoration. This study proposes an automatic osteotomy preoperative planning method for forearms with CRUS. Proximal forearm bones are first aligned with the template forearm and then a dual hierarchical optimization (DHO) strategy is used to optimize the spatial transformation parameters of the distal fragment. The subsequent optimization aims to maximize the overlap of cross-sections between proximal and distal fragments. Rotational simulations are ultimately conducted to predict postoperative forearm rotational functionality. The DHO strategy effectively restores ideal forearm morphology, with maximum deviations of 1.66 and 2.13 mm for the ulna and radius, respectively. The deformity angles of forearm bones are reduced to 1.35\u0026deg;, 1.39\u0026deg;, 4.83\u0026deg;, 1.20\u0026deg;, 1.03\u0026deg;, and 8.56\u0026deg;. Rotation function analysis reveals a noticeable improvement in achievable rotation range compared to plans by senior surgeons. Automated mobilization osteotomy planning, using the DHO strategy, shows potential for individualized CRUS corrective surgery, offering comprehensive and precise preoperative guidance.\u003c/p\u003e","manuscriptTitle":"Automatic Osteotomy Preoperative Planning for Forearm with Congenital Radioulnar Synostosis: A Dual Hierarchical Optimization Strategy","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-02-20 04:49:31","doi":"10.21203/rs.3.rs-3928090/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-10-22T18:28:45+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-10-14T16:35:51+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"92891845115953241285823231514948324737","date":"2024-10-08T06:35:56+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"35953900795854334510797877099330104","date":"2024-08-29T11:24:29+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-05-06T06:40:26+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"21a59bf8-e333-4002-83e9-54adee4354ce","date":"2024-04-15T13:50:19+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-03-27T11:32:54+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-03-26T17:12:07+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-02-18T05:42:57+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-02-18T05:12:56+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2024-02-04T15:30:46+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"
[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"49a02b16-087a-4bf1-8972-02f792696f09","owner":[],"postedDate":"February 20th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":28835972,"name":"Biological sciences/Computational biology and bioinformatics/Computational models"},{"id":28835973,"name":"Health sciences/Medical research/Paediatric research"},{"id":28835974,"name":"Health sciences/Anatomy/Musculoskeletal system/Bone"}],"tags":[],"updatedAt":"2024-12-30T16:01:28+00:00","versionOfRecord":{"articleIdentity":"rs-3928090","link":"https://doi.org/10.1038/s41598-024-80905-1","journal":{"identity":"scientific-reports","isVorOnly":false,"title":"Scientific Reports"},"publishedOn":"2024-12-28 15:57:30","publishedOnDateReadable":"December 28th, 2024"},"versionCreatedAt":"2024-02-20 04:49:31","video":"","vorDoi":"10.1038/s41598-024-80905-1","vorDoiUrl":"https://doi.org/10.1038/s41598-024-80905-1","workflowStages":[]},"version":"v1","identity":"rs-3928090","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3928090","identity":"rs-3928090","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.