Fast and accurate distal locking of interlocked intramedullary nails using computer-vision and a 3D printed device

محفوظ في:
التفاصيل البيبلوغرافية
الحاوية / القاعدة:3D Printing in Medicine vol. 10, no. 1 (Dec 2024), p. 28
المؤلف الرئيسي: Chabihi, Zakaria
مؤلفون آخرون: Nouidi, Nizar, Demnati, Brahim, Benhima, Mohamed Amine, Abkari, Imad
منشور في:
Springer Nature B.V.
الموضوعات:
الوصول للمادة أونلاين:Citation/Abstract
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024 7 |a 10.1186/s41205-024-00221-2  |2 doi 
035 |a 3090098510 
045 2 |b d20241201  |b d20241231 
100 1 |a Chabihi, Zakaria  |u Mohammed VI University Hospital, Trauma and Orthopedics Department B, Marrakesh, Morocco (GRID:grid.31143.34) (ISNI:0000 0001 2168 4024); Cadi Ayyad University, Laboratory of clinical and epidemiological research in bone and joint pathology, Marrakesh, Morocco (GRID:grid.411840.8) (ISNI:0000 0001 0664 9298) 
245 1 |a Fast and accurate distal locking of interlocked intramedullary nails using computer-vision and a 3D printed device 
260 |b Springer Nature B.V.  |c Dec 2024 
513 |a Journal Article 
520 3 |a IntroductionDistal locking is a challenging and time-consuming step in interlocked intramedullary nailing of long bone fractures. Current methods have limitations in terms of simplicity, universality, accuracy, speed, and safety. We propose a novel device and software for distal locking using computer vision.Methods and materialsThe device consists of an universal ancillary clamp, a telescopic arm, a viewfinder clamp, and a radio-opaque cross. The software uses a camera photo from the C-arm intensifier and adjusts for geometric projection deformities. The software employs edge detection, Hough transform, perspective interpolation, and vector calculation algorithms to locate the distal hole center. The device and software were designed, manufactured, and tested using 3D CAD, FEM, DRR, and performance testing on phantom bones.ResultsThe device and software showed high accuracy and precision of 98.7% and 99.2% respectively in locating the distal hole center and calculating the correctional vector. The device and software also showed high success ratio in drilling the hole and inserting the screw. The device and software reduced the radiation exposure for the surgeon and the patient. The success ratio of the device and software was validated by the physical testing, which simulated the real clinical scenario of distal locking. The radiation exposure was as low as 5 s with a radiation dose of 0.2mSv, drastically reducing radiation exposure during distal locking.DiscussionOur device and software have several advantages over other distal locking methods, such as simplicity, universality, accuracy, speed, and safety. Our device and software also have some disadvantages, such as reliability and legislation. Our device and software can be compared with other distal locking methods based on these criteria. Our device and software have some limitations and challenges that need to be addressed in the future, such as clinical validation, and regulatory approval.ConclusionThe device showed promising results in terms of low-cost, reusability, low radiation exposure, high accuracy, fast distal locking, high stiffness, and adaptability. The device has several advantages over other distal locking techniques, such as free-hand technique, mechanical aiming devices, electromagnetic navigation systems, and computer-assisted systems. We believe that our device and software have the potential to revolutionize the distal locking technique and to improve the outcomes and quality of life of the patients with long bone fractures. 
653 |a Navigation systems 
653 |a Software 
653 |a Bone implants 
653 |a Accuracy 
653 |a Legislation 
653 |a Intramedullary nails 
653 |a Software reliability 
653 |a Bones 
653 |a Computer vision 
653 |a Radiation 
653 |a Adaptability 
653 |a Fractures 
653 |a Long bone 
653 |a Regulatory approval 
653 |a Radiation effects 
653 |a Hough transformation 
653 |a Quality of life 
653 |a Algorithms 
653 |a Software reuse 
653 |a Distal locking 
653 |a Software radio 
653 |a Radiation dosage 
653 |a Edge detection 
700 1 |a Nouidi, Nizar  |u Mohammed VI University Hospital, Trauma and Orthopedics Department B, Marrakesh, Morocco (GRID:grid.31143.34) (ISNI:0000 0001 2168 4024) 
700 1 |a Demnati, Brahim  |u FMPC, Hassan II University Casablanca, Chemistry-Biochemestry, Environment, Nutrition and Health laboratory, Casablanca, Morocco (GRID:grid.412148.a) (ISNI:0000 0001 2180 2473) 
700 1 |a Benhima, Mohamed Amine  |u Mohammed VI University Hospital, Trauma and Orthopedics Department B, Marrakesh, Morocco (GRID:grid.31143.34) (ISNI:0000 0001 2168 4024); Cadi Ayyad University, Laboratory of clinical and epidemiological research in bone and joint pathology, Marrakesh, Morocco (GRID:grid.411840.8) (ISNI:0000 0001 0664 9298) 
700 1 |a Abkari, Imad  |u Mohammed VI University Hospital, Trauma and Orthopedics Department B, Marrakesh, Morocco (GRID:grid.31143.34) (ISNI:0000 0001 2168 4024); Cadi Ayyad University, Laboratory of clinical and epidemiological research in bone and joint pathology, Marrakesh, Morocco (GRID:grid.411840.8) (ISNI:0000 0001 0664 9298) 
773 0 |t 3D Printing in Medicine  |g vol. 10, no. 1 (Dec 2024), p. 28 
786 0 |d ProQuest  |t Health & Medical Collection 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3090098510/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3090098510/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch