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WO2018167369A1 - Agencement et procédé d'optimisation d'éléments utilisés pour contribuer au traitement de troubles musculo-squelettiques ou d'affections orthopédiques - Google Patents

Agencement et procédé d'optimisation d'éléments utilisés pour contribuer au traitement de troubles musculo-squelettiques ou d'affections orthopédiques Download PDF

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Publication number
WO2018167369A1
WO2018167369A1 PCT/FI2018/050187 FI2018050187W WO2018167369A1 WO 2018167369 A1 WO2018167369 A1 WO 2018167369A1 FI 2018050187 W FI2018050187 W FI 2018050187W WO 2018167369 A1 WO2018167369 A1 WO 2018167369A1
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WO
WIPO (PCT)
Prior art keywords
tissue
arrangement
imaging data
location
computational model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/FI2018/050187
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English (en)
Inventor
Sakari Soini
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Disior Oy Finland
Original Assignee
Disior Oy Finland
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Disior Oy Finland filed Critical Disior Oy Finland
Publication of WO2018167369A1 publication Critical patent/WO2018167369A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B17/00—Surgical instruments, devices or methods
    • A61B17/56—Surgical instruments or methods for treatment of bones or joints; Devices specially adapted therefor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B34/00—Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
    • A61B34/10—Computer-aided planning, simulation or modelling of surgical operations
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61C—DENTISTRY; APPARATUS OR METHODS FOR ORAL OR DENTAL HYGIENE
    • A61C13/00—Dental prostheses; Making same
    • A61C13/0003—Making bridge-work, inlays, implants or the like
    • A61C13/0004—Computer-assisted sizing or machining of dental prostheses
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
    • A61F2/00—Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
    • A61F2/02—Prostheses implantable into the body
    • A61F2/30—Joints
    • A61F2/3094—Designing or manufacturing processes
    • A61F2/30942—Designing or manufacturing processes for designing or making customized prostheses, e.g. using templates, CT or NMR scans, finite-element analysis or CAD-CAM techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B34/00—Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
    • A61B34/10—Computer-aided planning, simulation or modelling of surgical operations
    • A61B2034/101—Computer-aided simulation of surgical operations
    • A61B2034/105—Modelling of the patient, e.g. for ligaments or bones

Definitions

  • the invention relates to elements used to aid in treatment of musculoskeletal disorders or orthopedic conditions. Particularly, the invention relates to optimization of the characteristics and/or placement of elements used to aid in musculoskeletal disorders or orthopedic conditions such as repair of bone fractures using computer-implemented arrangements.
  • treatment of musculoskeletal disorders or orthopedic conditions is conducted through a medical professional performing an analysis of the required measures to be taken through inspection of a patient or imaging data. Through this inspection, a practitioner may classify an injury and select the type of treatment that is required. It may be difficult in some cases to identify an injury and it may also be difficult for the proper treatment to be select even if the classification is correct.
  • repair of e.g. a radius bone fracture is done by selecting either an implant and an orthopedic cast or an orthopedic cast alone. It is typically not certain if the treatment is successful, i.e., if the bone heals and holds its shape and position as planned.
  • custom elements e.g. implants
  • the design of custom elements cannot be executed so that an optimum selection is made regarding the material, dimensions, or other characteristics of the elements for a specific fracture in a specific bone with features that may be dependent on the entity within which it resides.
  • An object of the invention is to alleviate at least some of the problems relating to the known prior art.
  • the object of the invention can be achieved by the features of the independent claims.
  • One embodiment of the present invention provides an arrangement for optimization of location and/or characteristics of at least one element used to aid in treatment of musculoskeletal disorders or orthopedic conditions.
  • the arrangement comprises at least one processor configured to receive three-dimensional digital imaging data indicative of subcutaneous tissue of a target entity.
  • the at least one processor is additionally configured to create, using the imaging data, a computational model to represent one or more tissues and their possible fragments incorporating information involving a location related to a musculoskeletal disorder or orthopedic condition identified from said imaging data.
  • the at least one processor is furthermore configured to optimize the location and/or one or more characteristics of the said at least one element with respect to at least one variable and generate an output to a user entity of the arrangement, indicative of the feasibility of the at least one element.
  • the musculoskeletal disorder or orthopedic condition inspected by the arrangement involves fractured tissue and/or one or more tissue fragments and the computational model is created through performing a comparison between the three-dimensional imaging data related to a musculoskeletal disorder or orthopedic condition and data representing a generic model of corresponding tissue and as a result of said comparison, the computational model represents the fractured tissue and/or tissue fragment(s) in positions corresponding to their intact form.
  • Errors made in classification of an injury may be avoided.
  • a medical professional may gain more precise knowledge about the extent of an injury. For instance, the extent of fragmentation may be evaluated more accurately than through visual inspection of a patient or image data.
  • an arrangement may be used to obtain a computational model of a patient's tissue where repositioning of tissue fragments, i.e., torn muscles or broken bones for instance, has been carried out.
  • Errors in e.g. placement of implants or their selection leads to reoperations to replace the implant, which further requires reserving expensive operating rooms and time of personnel required in the procedures. Operation expenses may additionally be reduced as time taken to perform surgeries can be decreased if operation instructions are given to the surgeon, and there is no need for further assessment at the time of the surgery.
  • the invention provides possibilities for treatment using also reverse engineering, in which the outcome of previous cases may be utilized to aid in treatment strategy or element selection. This possibly leads to increased knowledge on healing by using a patient-specific computational model and simulation combined with a trauma case library containing representative patient cases and models.
  • smaller elements used in treatment of musculoskeletal disorders and orthopedic conditions could be used through utilization of the present invention, as with the current state of the art, e.g. implants that are larger than necessary may be installed for treatment of bone fractures as a precaution to ensure that the bone fragments are kept in the desired positions. This may potentially lead to reductions in used materials, further reducing expenditures, or increased wear comfort for patients. Additionally, ossification may be enhanced or decrease of bone strength avoided, as an implant may advantageously bear smaller loads.
  • An arrangement may also be used to design custom elements, such as implants, casts, screws, pins, or nails to be used in a specific circumstance. This may further increase wear comfort for patients, as standard available elements may be excessively large. Also, as a computational model may be obtained where tissues are repositioned to places corresponding to their intact form, elements may be designed or optimized for that particular case. Elements may be selected to retain the tissue at the repositioned locations.
  • Design of elements could occur in circumstances where commercial implants/solutions do not offer clinical improvement.
  • deformation of an implant may cause a need for reoperation in a patient, even though the same implant would have been optimal in a similar case in another patient due to individual differences in bone characteristics.
  • An arrangement according to the present invention may take into account individual traits of the patient, such as age to name an example, which can affect the choice of element to be used. Different materials may also be tested through the arrangement.
  • the arrangement may optimize an element to be used for treatment of a torn or otherwise damaged tendon, muscle or other tissue structure.
  • the shape of an element and/or its material may be considered.
  • Figure 1 illustrates an exemplary arrangement according to one embodiment of the invention
  • Figure 2 depicts imaging data that may be visualized that can be stored in an arrangement according to one embodiment of the invention
  • Figure 3 illustrates a 3D model that may be visualized and can be stored in an arrangement according to one embodiment of the invention
  • Figure 4 shows a generic model that may be visualized and can be stored in an arrangement according to one embodiment of the invention
  • Figure 6 shows procedures that may be performed by an arrangement according to one embodiment of the invention.
  • the invention is utilized in reparation of a bone fracture. It is clear to a man skilled in the art, however, that also other musculoskeletal disorders and orthopedic conditions may be considered.
  • imaging data 200 depicted in Figure 2 is provided, which is preferably three-dimensional imaging data obtained by a method such as computed tomography, magnetic resonance imaging, or ultrasonic scanning.
  • the imaging has been performed on a target entity 208 so that tissue, such as at least a part of a tissue 202, such as a mandible bone, which is intended to be treated can be identified therefrom.
  • tissue such as at least a part of a tissue 202, such as a mandible bone
  • a possible fragment or fragments 206 of the bone 202, and a possible fracture or fractures 204 that are intended to be treated can also be advantageously identified from the imaging data 200.
  • the location 204 may also refer to a location related to some other musculoskeletal disorder or orthopedic condition.
  • the arrangement 100 may create a 3D model 300, which comprises points in three-dimensional space to represent an initial model of the damaged bone 302, including information involving the fragment(s) 206 from the imaging data 200.
  • the 3D model 300 may not be created.
  • Embodiments may also provide a generic model 400 (or a generic computation grid), shown in Figure 4, comprising points in three-dimensional space to represent a generic model of intact tissue 402 corresponding to the tissue 202 identified from the imaging data 200.
  • a generic model of a mandible bone 402 corresponds to the bones 302 and 202 in the 3D model 300 and imaging data 200, respectively.
  • the generic model 400 may in some embodiments include also other entities in addition to the fractured bone 202, 302, (or other treated tissue) such as teeth in the case of a mandible bone.
  • the arrangement 100 may incorporate into the computational model 500 a fracture surface 512 for each of the fractures 204 that may be identified from the imaging data 200.
  • the fracture surface 512 may comprise information regarding a surface on which a fracture may be considered to lie in in the computational model 500. Also other surfaces, such as articular surfaces, may in some embodiments be identified from the imaging data 200 and incorporated into a computational model 500.
  • the potential 3D model 300 and computational model 500 may be created automatically by the arrangement 100 or contribution of a user of the arrangement 100 may be utilized.
  • the computational model 500 may also be generated without using a 3D model 300, using only the imaging data 200 and the generic model 400.
  • the imaging data 200, the 3D model 300, the generic model 400, and/or the computational model 500 may be visualized through the user interface 1 18 to a user of the arrangement 100.
  • the user for example a technician, may through the user interface 1 18 indicate the location(s) of, e.g., the fracture(s) 204 from the imaging data 200, from which the arrangement 100 determines the corresponding locations from the generic model 400, and then, from the data regarding the 3D model 300 and the generic model 400, creates the computational model 500 correspondingly incorporating information regarding the location of the fracture 504 and possibly a fracture surface 512.
  • the aforementioned input of a user is optional, as the arrangement 100 may also operate independently to create data 500 and optionally 300.
  • the arrangement 100 may automatically or utilizing input from a user, identify through the imaging data 200 ("point and click" -type identification of reference points) and possibly a generic model 400, measurements of bones, muscles or other tissue. Also angles relating to tissues may be measured, such as the orientation of an articular surface with respect to another articular surface. Measurements regarding the distance between e.g. different tissues, parts of tissues, or articular surfaces, may also be determined. For example, distances between bone endings may be measured.
  • an arrangement 100 may automatically classify an injury and report this to a user.
  • the arrangement 100 may be used exclusively for this purpose. Classification may also refer to indication of an extent or severity of an injury, such as extent or fragmentation of e.g. a bone.
  • Obtaining a computational model 500 with one or more tissue fragments 206 in positions corresponding to their intact form may be done through a comparison between the imaging data 200 and the generic model 400.
  • the comparison process may comprise obtaining a transformation of a generic model 400 to correspond to the situation/positioning of tissue indicated by imaging data 200.
  • a 3D model 300 may be created in an intermediate process in order to obtain the transformation of the generic model 400.
  • the comparison process may additionally comprise repositioning of one or more tissue fragments that are displaced in the transformation of the generic model to correspond to their positions in intact tissue form.
  • obtaining the transformation of a generic model 400 may involve alignment of the generic model 400 with the largest intact part of the patient tissue that may be identified from the imaging data 200 after which the one or more fragments also identified through the imaging data 200 may be repositioned into their intact positions using e.g. the aforementioned methods.
  • the preferred treatment related to injury classification may be obtained through a database, which may in some embodiments be created through data obtained by the use of an arrangement 100.
  • initial information regarding the location and characteristics of elements may be incorporated into the computational model 500.
  • Exemplary elements are shown in Fig. 5, where an implant 508 and screws 510 for its attachment to the bone 502 and fragment 506 are depicted.
  • the elements selected to be used may also be for example pins, casts, or splints.
  • An optimization with respect to one or more variables is performed in 610, which comprises specification of element parameters 612, simulation 614, analysis of results 616, and the optional repetition of 612, 614, and 616.
  • the element parameters to be specified may include, among others, dimensions and/or material of one or more elements 508, 510 and their locations. This parameter data is then incorporated into the computational model 500.
  • the element(s) 508, 510 to be may be automatically selected from a provided database 1 12 or a user may specify them, either through the database 1 12 or by explicitly defining characteristics (dimensions and/or material, for instance) of the elements 508, 510.
  • the location of the element(s) may also be determined automatically or manually by a user.
  • one or more dynamics simulations are performed in 618, involving e.g kinetics and/or kinematics of the tissue(s) 502, possible fragment(s) 506, and additionally possibly surrounding other tissues, through simulation models 108.
  • a fracture involving the mandible bone is considered, and the simulation in 618 involves a dynamics model of the temporomandibular joint, lateral pterygoid, masseter, and temporalis muscles.
  • Biomechanical functions such as a mastication cycle in the aforementioned case of the mandible bone, may be included in the simulation 618 through the simulation models 108.
  • a load case library may be created in 620.
  • a simulation involving stress analysis may be performed in 614, utilizing provided computational algorithms 106 and simulation models 108.
  • Information regarding loads and constraints on the tissue(s) 502, fragment(s) 506, and element(s) 508, 510, through utilization of data obtained from the load case(s) created in 620 may be used in the simulation 614, which may involve a static simulation model.
  • displacements, stresses, and/or strains involving any of the components of the system represented by the computational model, i.e. tissue(s) 502, fragment(s) 506, element(s) 508, 510, or fracture surfaces may be derived.
  • the simulation of 614 may also be utilized in evaluating different load case scenarios for optimization sequences to be performed for the element or elements 508, 510.
  • tissue(s) 502 and fragment(s) 506 may be regarded as moving separately with respect to each other through the computational model 500, with the element or elements 508, 510 possibly holding them together. Information regarding properties of the element materials may also be taken into account.
  • the duration of the simulations of Fig. 6 or the number of times a specific biomechanical function is performed in the dynamics simulation 618 may be implemented according to predetermined values or they may be specified by a user.
  • results of the simulation are analyzed, and the procedures 612 and 614 may optionally be repeated.
  • the analysis 616 can be related to the variable(s) with respect to which the optimization is conducted, such as in the exemplary case, stresses exerted on the bone(s) 502, fragment(s) 506, and/or element(s) 508, 510, the displacement of the fragment(s) 506 with respect to the bone(s) 502, the potential amount of restriction to the movement of the bone(s) 502 and fragment(s) 506 with respect to other bone(s) or muscles involved in the simulations as compared to a reference case, or the possible deformation of the element material(s), for example.
  • the analyzed variables may be predetermined or they may be given by a user. In some embodiments, the user may define the importance of some variable with respect to other possible variables.
  • the database 1 12 may include commercially available elements from various providers, from which a user may advantageously thus select those which are feasible or available to the user.
  • a parameter is to be kept constant, only other parameters are varied upon the possible return to step 612.
  • These parameters that are to be varied may optionally be defined by a user. For example, a user such as a medical practitioner may then indicate an implant 508 that is to be used, and the arrangement 100 may then optimize the screws 510 to be used as well as the location of the specified one implant 508.
  • the user for example a designer of implants to be used in certain bone fracture repairs, may specify the material to be used, and the arrangement 100 may optimize the dimensions of an implant 508.
  • the optimization 610 may be conducted so that a predetermined amount of elements 508, 510 and parameters are specified, possibly selected from the database 1 12, and the simulation 614 is conducted for all of the one or more elements 508, 510 in the one or more possibly predetermined locations, either consecutively or in parallel, and the arrangement 100 may then in 616 analyze results of the simulations 614 to determine an optimized order of the specified elements 508, 510 and parameters with respect to one or more variables.
  • the simulation 614 is conducted through finite element analysis.
  • one or more of the procedures 600-624 illustrated in Fig. 6 that may be conducted by the apparatus 100 may be performed with the use of an algorithm that may utilize artificial intelligence.
  • the information on healing may for instance be acquired through installing a measuring instrument on a cast or splint that measures the movement of a bone or limb that is being treated, said information being provided for use in the simulation 610 through creating a trauma case library in 622.
  • the outcome of the analysis 616 is reported to a user through generation of an output.
  • the output may be numerical, graphical, involve text, or be a combination of these.
  • the output may also or alternatively comprise of a number of signals, files, or other forms of deliverables.
  • the output generation 624 may involve giving, through the user interface 1 18, optimum element(s) 508, 510 and their location(s). In some cases an element 508, 510 that is available in the database 1 12 should be bent or shaped for more efficient performance, and the output generation 624 may then involve instructions on how to modify the element 508, 510.
  • the output may comprise information regarding the optimum choice, or a list of element(s) 508, 510 and location(s) may be provided, in which the order is optimized with respect to the predetermined variables. Also, for given elements 508, 510, the output may for instance specify locations for said elements that optimize certain variables, e.g. in the case of bone fractures locations which will result in minimum bone stress or, alternatively minimum displacement of the bone fragments.
  • Comparison of elements 508, 510 and one or more associated variables may also be conveyed.
  • the output may provide a graph depicting the magnitude of a variable such as relative movement of a bone 502 and a fragment 506 with different element configurations, such as an implant 508 in a specific location with varying types of screws 510.
  • the arrangement may in 624 generate a computer-readable output.
  • the output may then be mediated to a user entity.
  • the user entity may be for example a robot intended to perform treatment such as surgery on the target entity using the data comprised in said output.
  • the user interface 1 18 may display graphical instructions concerning the elements 508, 510 to be used and their locations to a user, such as a medical practitioner.
  • the treatment instructions such as operating instructions, concerning the elements 508, 510 to be used and their locations may be provided to a user through augmented reality glasses.
  • Embodiments of the invention may also be used to optimize a treatment strategy.
  • injuries and/or surfaces related to injuries and/or measurements related to tissues may be determined.
  • Repositioning of tissues may be carried out, providing information on the displacement of tissues that may have occurred in relation to an injury.
  • Outcomes relating to different types of elements, such as casts and implants, may be analyzed, and a preferred element or elements may be determined.
  • the actual step of treatment, such as surgery, is preferably omitted from the scope of the presented solution and claims. In some embodiments the treatment may be carried out by personnel with necessary skills.

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  • Health & Medical Sciences (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Orthopedic Medicine & Surgery (AREA)
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  • Databases & Information Systems (AREA)
  • Robotics (AREA)
  • Pathology (AREA)
  • Theoretical Computer Science (AREA)
  • Transplantation (AREA)
  • Manufacturing & Machinery (AREA)
  • General Physics & Mathematics (AREA)
  • Dentistry (AREA)
  • Cardiology (AREA)
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  • Business, Economics & Management (AREA)
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  • Radiology & Medical Imaging (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Prostheses (AREA)

Abstract

L'invention concerne un agencement (100) pour l'optimisation de l'emplacement et/ou des caractéristiques d'au moins un élément (508, 10) utilisé pour contribuer au traitement de troubles musculo-squelettiques ou d'affections orthopédiques. L'agencement comprend au moins un processeur (102) configuré pour recevoir (600) des données d'imagerie numérique tridimensionnelle (200) correspondant à un tissu sous-cutané d'une entité cible (208). Le ou les processeurs sont en outre configurés pour générer (608), à l'aide des données d'imagerie, un modèle de calcul (500) pour représenter un ou plusieurs tissus (202, 302, 402, 502) et leurs éventuels fragments (206, 506) intégrant des informations comprenant un emplacement (204, 504) associé à un trouble musculo-squelettique ou à une affection orthopédique identifié à partir desdites données d'imagerie. Le ou les processeurs sont en outre configurés pour optimiser (610) l'emplacement et/ou une ou plusieurs caractéristiques dudit ou desdits éléments en ce qui concerne au moins une variable et pour générer (624) des données de sortie à destination d'une entité utilisateur de l'agencement, indiquant la faisabilité du ou des éléments.
PCT/FI2018/050187 2017-03-14 2018-03-14 Agencement et procédé d'optimisation d'éléments utilisés pour contribuer au traitement de troubles musculo-squelettiques ou d'affections orthopédiques Ceased WO2018167369A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FI20175226A FI20175226A7 (fi) 2017-03-14 2017-03-14 Järjestelmä ja menetelmä muskuloskeletaalisten häiriöiden ja ortopedisten tilojen hoidon edistämiseksi käytettyjen kappaleiden optimointiin
FI20175226 2017-03-14

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WO2018167369A1 true WO2018167369A1 (fr) 2018-09-20

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Cited By (4)

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WO2020164548A1 (fr) * 2019-02-15 2020-08-20 中国人民解放军总医院 Système de suivi intelligent pour réduction de fracture pelvienne
EP4230179A1 (fr) * 2022-02-21 2023-08-23 Zimmer, Inc. Utilisation de procédés numériques pour optimiser la conception d'implant
US11931106B2 (en) 2019-09-13 2024-03-19 Treace Medical Concepts, Inc. Patient-specific surgical methods and instrumentation
US11986251B2 (en) 2019-09-13 2024-05-21 Treace Medical Concepts, Inc. Patient-specific osteotomy instrumentation

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US20140005685A1 (en) * 2011-03-17 2014-01-02 Brainlab Ag Method for preparing the reconstruction of a damaged bone structure
WO2015089118A1 (fr) * 2013-12-09 2015-06-18 Mahfouz Mohamed R Reconstruction osseuse et implants orthopédiques
US20160045317A1 (en) * 2013-03-15 2016-02-18 Conformis, Inc. Kinematic and Parameterized Modeling for Patient-Adapted Implants, Tools, and Surgical Procedures
WO2016102027A1 (fr) * 2014-12-24 2016-06-30 Mobelife N.V. Procédé d'utilisation d'un dispositif informatique pour fournir une conception d'un implant

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US20110295565A1 (en) * 2010-05-25 2011-12-01 Ozen Engineering Inc. Methods and systems of integrated simulations for patient-specific body embedded with medical implants
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US11931106B2 (en) 2019-09-13 2024-03-19 Treace Medical Concepts, Inc. Patient-specific surgical methods and instrumentation
US11986251B2 (en) 2019-09-13 2024-05-21 Treace Medical Concepts, Inc. Patient-specific osteotomy instrumentation
EP4230179A1 (fr) * 2022-02-21 2023-08-23 Zimmer, Inc. Utilisation de procédés numériques pour optimiser la conception d'implant

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