Publication:
Intraoperative fluoroscopic safety assessment of femoral head implants with 3-dimensional risk parameters to minimize cut-out

dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.departmentMARC (Manufacturing and Automation Research Center)
dc.contributor.departmentSchool of Medicine
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorSubaşı, Ömer
dc.contributor.kuauthorAslan, Lercan
dc.contributor.kuauthorOral, Atacan
dc.contributor.kuauthorDemirhan, Mehmet
dc.contributor.kuauthorSeyahi, Aksel
dc.contributor.kuauthorLazoğlu, İsmail
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteResearch Center
dc.date.accessioned2024-12-29T09:40:44Z
dc.date.issued2023
dc.description.abstractObjective: This study aimed to introduce a method to extract the 3-dimensional spatial position of the femoral head implant from 2-dimensional fluoroscopic projections, allowing surgeons to assess fixation much more accurately and prevent cut-out complications in proximal femoral nailing. Methods: To define a safety region for the tip in the femoral head, a novel 3-dimensional distance-based risk parameter called TSD3D was introduced. An intersection algorithm was developed that solely takes the fluoroscopic anteroposterior and lateral distances to reveal the 3-dimensional location of the screw or Kirschner wire tip, enabling the utilization of the 3-dimensional parameter. Orthogonal perspectives of 6 femur proximal bone substitutes with randomly inserted Kirschner wires were imaged under fluoroscopy. The developed algorithm was used to calculate the implant tip location in 3-dimensional from 2-dimensional images for each case. Algorithm accuracy was validated with the computed tomography-obtained 3-dimensional models of the same femur substitutes. Results: The newly introduced risk parameter successfully visualizes 3-dimensional safety regions. Utilizing the 2-dimensional fluoroscopic distances as inputs to the algorithm, the 3-dimensional position of the implanted Kirschner wire tip is calculated with a maximum of 9.8% error for a single Cartesian-coordinate measurement comparison. Conclusion: By incorporating the newly introduced 3-dimensional risk parameter, surgeons can more precisely evaluate the position of the implant and avoid cut-out complications, instead of relying solely on misleading 2-dimensional fluoroscopic projections of the femoral head.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.indexedbyTR Dizin
dc.description.issue4
dc.description.openaccessgold, Green Published
dc.description.publisherscopeNational
dc.description.volume57
dc.identifier.doi10.5152/j.aott.2023.22175
dc.identifier.issn1017-995X
dc.identifier.quartileQ3
dc.identifier.scopus2-s2.0-85169759101
dc.identifier.urihttps://doi.org/10.5152/j.aott.2023.22175
dc.identifier.urihttps://hdl.handle.net/20.500.14288/23411
dc.identifier.wos1104870600002
dc.keywordsCut-out
dc.keywordsFemur
dc.keywordsProximal nailing
dc.keywordsTip-apex distance
dc.keywordsFluoroscopy
dc.keywordsIntertrochanteric fracture
dc.languageen
dc.publisherTurkish Assoc Orthopaedics Traumatology
dc.sourceActa Orthopaedica et Traumatologica Turcica
dc.subjectOrthopedics
dc.titleIntraoperative fluoroscopic safety assessment of femoral head implants with 3-dimensional risk parameters to minimize cut-out
dc.typeJournal article
dspace.entity.typePublication
local.contributor.kuauthorSubaşı, Ömer
local.contributor.kuauthorAslan, Lercan
local.contributor.kuauthorOral, Atacan
local.contributor.kuauthorDemirhan, Mehmet
local.contributor.kuauthorSeyahi, Aksel
local.contributor.kuauthorLazoğlu, İsmail
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1SCHOOL OF MEDICINE
local.publication.orgunit1College of Engineering
local.publication.orgunit1Research Center
local.publication.orgunit2Department of Mechanical Engineering
local.publication.orgunit2MARC (Manufacturing and Automation Research Center)
local.publication.orgunit2School of Medicine
local.publication.orgunit2Graduate School of Sciences and Engineering
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