Tytuł artykułu
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The Baker’s cysts appear within the popliteal fossa along with the progression of degenerative changes. Removal of its contents through aspiration is often a necessary complement to treatment at various stages of the development of gonarthritis. Methods: The paper presented a procedure for needle automatic needle path planning in cyst aspiration in transverse plane. The method was based on optimization and used a custom objective function, which utilized cost maps obtained from preprocessed, segmented images of the knee. The optimization was carried out with Differential Evolution. Furthermore, a preliminary sensitivity analysis was carried out. The obtained paths were compared to the reference paths proposed by an experienced surgeon. Results: The procedure was tested on 165 numerical simulations. In all of the obtained paths, the needle successfully avoided crucial objects, such as veins, arteries and nerves. Furthermore, the overall travel distance in the joint was also minimized. When compared to the reference from the surgeon, 90% of the paths were almost the same or only slightly different. Furthermore, the remaining 10% of the generated paths were viable but different. Conclusion: Based on the obtained results, the proposed solution could be a viable solution for planning the aspiration of Baker’s cyst.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
39--47
Opis fizyczny
Bibliogr. 40 poz., rys., tab.
Twórcy
autor
- Faculty of Mechanical Engineering, Cracow University of Technology, Kraków, Poland.
autor
- Department of Orthopaedics, Traumatology and Sports Medicine, Central Clinical Hospital of the Ministry of the Interior and Administration in Warsaw, Warsaw, Poland.
autor
- Faculty of Mechanical Engineering, Cracow University of Technology, Kraków, Poland.
Bibliografia
- [1] ABATE M., DI CARLO L., DI IORIO A., SALINI V., Baker’s Cyst with Knee Osteoarthritis: Clinical and Therapeutic Implications, Med. Princ. Pract., 2021, 30 (6), 585–591, DOI: 10.1159/000518792.
- [2] ABU-DAKKA F.J., RUBIO F., VALERO F., MATA V., Evolutionary indirect approach to solving trajectory planning problem for industrial robots operating in workspaces with obstacles, Eur. J. Mech. – A/Solids, 2013, 42, 210–218, DOI: 10.1016/j.euromechsol.2013.05.007.
- [3] AUBIN C.E., GOUSSEV V., PETIT Y., Biomechanical modeling of segmental instrumentation for surgical correction of 3D spinal deformities using Euler-Bernoulli thin-beam elastic deformation equations, Med. Biol. Eng. Comput., 2004, 42 (2), 216–221.
- [4] BENNER R.W., SHELBOURNE K.D., BAUMAN S.N., NORRIS A., GRAY T., Knee Osteoarthritis: Alternative Range of Motion Treatment, Orthop. Clin. North Am., 2019, 50 (4), 425–432, DOI: 10.1016/j.ocl.2019.05.001.
- [5] BERNARDES M.C., ADORNO B.V., POIGNET P., BORGES G.A., Robot-assisted automatic insertion of steerable needles with closed-loop imaging feedback and intraoperative trajectory replanning, Mechatronics, 2013, 23 (6), 630–645, DOI: 10.1016/j.mechatronics.2013.06.004.
- [6] BLOME A., HARRIGAN R., GOETT H., COSTANTINO T., GIBBONS R., Ultrasonographic Characteristics of Baker’s Cysts: The Sonographic Foucher’s Sign, J. Emerg. Med., 2017, 53 (5), 753–755, DOI: 10.1016/j.jemermed.2017.08.029.
- [7] CANOSO J.J., GOLDSMITH M.R., GERZOF S.G., WOHLGETHAN J.R., Foucher’s sign of the Baker’s cyst, Ann. Rheum. Dis., 1987, 46 (3), 228 LP – 232, DOI: 10.1136/ard.46.3.228.
- [8] CHIRICHELLA P.S., JOW S., IACONO S., WEY H.E., MALANGA G.A., Treatment of knee meniscus pathology: Rehabilitation, surgery, and orthobiologics, PM R, 2019, 11 (3), 292–308, DOI: 10.1016/j.pmrj.2018.08.384.
- [9] CISZKIEWICZ A., MILEWSKI G., Comparison of methods for computing a target point for aspirations and biopsies, [in:] Biomechanics in Medicine and Biology, K. Arkusz, R. Będziński, T. Klekiel, S. Piszczatowski (Eds.), BIOMECHANICS 2018. Advances in Intelligent Systems and Computing, Vol. 831. Springer, Cham, 2019, DOI: 10.1007/978-3-319-97286-2_8.
- [10] CISZKIEWICZ A., MILEWSKI G., Path planning for minimallyinvasive knee surgery using a hybrid optimization procedure, Comput. Methods Biomech. Biomed. Engin., 2018, 21 (1), 47–54, DOI: 10.1080/10255842.2017.1423289.
- [11] CISZKIEWICZ A., MILEWSKI G., Ligament-based spine-segment mechanisms, Bull Polish Acad. Sci. Tech. Sci., 2018, 66 (5), 705–712, DOI: 10.24425/125337.
- [12] DEMANGE M.K., BAKER’S CYST, Rev. Bras Ortop. (English Ed.), 2011, 46 (6), 630–633, DOI: 10.1016/S2255-4971(15)30317-7.
- [13] DRAGAN S., KUROPKA P., KULEJ M., GABRYŚ P., NIKODEM A., Changes in the mechanical properties of femoral cartilage tissue in advanced osteoarthritis, Acta Bioeng. Biomech., 2020, 22 (1), 143–152, DOI: 10.37190/ABB-01463-2019-01.
- [14] FERNER F., LUTTER C., SCHUBERT I., SCHENKE M., STRECKER W., DICKSCHAS J., Perioperative complications in osteotomies around the knee: a study in 858 cases, Arch. Orthop. Trauma Surg., 2022, 142 (5), 769–775, DOI: 10.1007/s00402-020-03696-w.
- [15] FREDERICKSEN K., KIEL J., Bedside ultrasound-guided aspiration and corticosteroid injection of a baker’s cyst in a patient with osteoarthritis and recurrent knee pain, J. Am. Coll. Emerg. Physicians Open, 2021, 2 (2), e12424, DOI: 10.1002/emp2.12424.
- [16] GHADERI S., GHADERI K., GHAZNAVI H., Using markercontrolled watershed transform to detect Baker’s cyst in magnetic resonance imaging images: A pilot study, J. Med. Signals Sensors, 2022, 12 (1), 84–89, DOI: 10.4103/jmss.JMSS_49_20.
- [17] HASSOUNA M.S., FARAG A.A., HUSHEK S.G., 3D path planning for virtual endoscopy, Int. Congr. Ser., 2005, 1281, 115–120, DOI: 10.1016/j.ics.2005.03.142.
- [18] KORNAAT P.R., BLOEM J.L., CEULEMANS R.Y.T., RIYAZI N., ROSENDAAL F.R., NELISSEN R.G., CARTER W.O., HELLIO LE GRAVERAND M.-P., KLOPPENBURG M., Osteoarthritis of the Knee: Association between Clinical Features and MR Imaging Findings, Radiology, 2006, 239 (3), 811–817, DOI: 10.1148/radiol.2393050253.
- [19] KRZEMIŃSKA K., CZAMARA A., Diagnostic value of the hamstring to quadriceps ratio in monitoring the effectiveness of supervised 6-month physiotherapy in males after anterior cruciate ligament reconstruction (Aclr), Acta Bioeng. Biomech., 2020, 22 (4), 1–18, DOI: 10.37190/ABB-01656-2020-02.
- [20] LIANG K., ROGERS A.J., LIGHT E.D., VON ALLMEN D., SMITH S.W., Three-dimensional ultrasound guidance of autonomous robotic breast biopsy: feasibility study, Ultrasound Med. Biol., 2010, 36 (1), 173–7, DOI: 10.1016/j.ultrasmedbio. 2009.08.014.
- [21] LIANG K., ROGERS A.J., LIGHT E.D., VON ALLMEN D., SMITH S.W., Simulation of autonomous robotic multiple-core biopsy by 3D ultrasound guidance, Ultrason Imaging, 2010, 32 (2), 118–127.
- [22] LORKOWSKI J., KOLASZYŃSKA O., POKORSKI M., Artificial Intelligence and Precision Medicine: A Perspective BT – Integrative Clinical Research, in: M. Pokorski (ed.), Springer International Publishing, Cham., 2022, 1–11, DOI: 10.1007/5584_2021_652.
- [23] MACIAZEK M., PASKO M., Optimum allocation of active power filters in large supply systems, Bull Polish Acad. Sci. Tech. Sci., 2016, 64 (1), 37–44, DOI: 10.1515/bpasts-2016-0005.
- [24] MAJAK M., ŻUK M., ŚWIĄTEK-NAJWER E., POPEK M., PIETRUSKI P., Augmented reality visualization for aiding biopsy procedure according to computer tomography based virtual plan, Acta Bioeng. Biomech., 2021, 23 (2), 81–89, DOI: 10.37190/ABB-01811-2021-02.
- [25] MARCHETTI C., BIANCHI A., MUYLDERMANS L., DI MARTINO M., LANCELLOTTI L., SARTI A., Validation of new soft tissue software in orthognathic surgery planning, Int. J. Oral Maxillofac. Surg., 2011, 40 (1), 26–32, DOI: 10.1016/j.ijom.2010.09.004.
- [26] MICHAEL J.W.P., SCHLÜTER-BRUST K.U., EYSEL P., Epidemiologie, ätiologie, diagnostik und therapie der gonarthrose, Dtsch Arztebl., 2010, 107 (9), 152–162, DOI: 10.3238/arztebl.2010.0152.
- [27] MORTADA M., AMER Y.A., ZAGHLOL R.S., Efficacy and Safety of Musculoskeletal Ultrasound Guided Aspiration and Intra-Lesional Corticosteroids Injection of Ruptured Baker’s Cyst: A Retrospective Observational Study, Clin. Med. Insights Arthritis Musculoskelet. Disord., 2020, 13, 1179544120967383, DOI: 10.1177/1179544120967383.
- [28] MOUSTRIS G.P., HIRIDIS S.C., DELIPARASCHOS K.M., KONSTANTINIDIS K.M., Evolution of autnomous and semiautnomous robotic surgical systems: a review of the literature, Int. J. Med. Robot., 2011, 7 (April), 375–392, DOI:10.1002/rcs.
- [29] NAJMAEI N., MOSTAFAVI K., SHAHBAZI S., AZIZIAN M., Image-guided techniques in renal and hepatic interventions, Image-Guided Tech. Ren. Hepatic Interv., 2013, 9 (4), 379–395, DOI: 10.1002/rcs.
- [30] NAPALKOVA L., ROZENBLIT J.W., HWANG G., HAMILTON A.J., SUANTAK L., An optimal motion planning method for computer-assisted surgical training, Appl. Soft Comput., 2014, 24, 889–899, DOI: 10.1016/j.asoc.2014.08.054.
- [31] PARK G.-Y., KWON D.R., KWON D.G., Clinical, Radiographic, and Ultrasound Findings Between Simple and Complicated Baker’s Cysts, Am. J. Phys. Med. Rehabil., 2020, 99 (1).
- [32] PIETRUSKI P., MAJAK M., ŚWIĄTEK-NAJWER E., POPEK M., JAWOROWSKI J., ŻUK M., NOWAKOWSKI F., Image-guided bone resection as a prospective alternative to cutting templates – A preliminary study, J. Craniomaxillofac. Surg., 2015, 43 (7), 1021–7, DOI: 10.1016/j.jcms.2015.06.012.
- [33] QURESHI A.H., AYAZ Y., Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments, Rob. Auton. Syst., 2015, 68, 1–11, DOI: 10.1016/j.robot.2015.02.007.
- [34] SILLAY K.A., RUSY D., BUYAN-DENT L., NINMAN N.L., VIGEN K.K., Wide-bore 1.5 T MRI-guided deep brain stimulation surgery: initial experience and technique comparison, Clin. Neurol. Neurosurg., 2014, 127, 79–85, DOI: 10.1016/j.clineuro.2014.09.017.
- [35] STORN R., PRICE K., Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces, J. Glob. Optim., 1997, 11 (4), 341–359, DOI: 10.1023/A:1008202821328.
- [36] SU C., KUANG S., ZHAO X., LI Y., XIONG Y., GAO S., Clinical outcome of arthroscopic internal drainage of popliteal cysts with or without cyst wall resection, BMC Musculoskelet Disord., 2020, 21 (1), 440, DOI: 10.1186/s12891-020-03453-5.
- [37] URŠIČ B., KOCJANČIČ B., ROMOLO A., IGLIČ A., KRALJ-IGLIČ V., ZUPANC O., Assessment of coxarthritis risk with dimensionless biomechanical parameters, Acta Bioeng. Biomech., 2021, 23 (1), 25–34, DOI: 10.37190/abb-01738-2020-03.
- [38] VROOIJINK G.J., ABAYAZID M., PATIL S., ALTEROVITZ R., MISRA S., Needle path planning and steering in a three-dimensional non-static environment using two-dimensional ultrasound images, Int. J. Rob. Res., 2014, 33 (10), 1361–1374, DOI: 10.1177/0278364914526627.
- [39] XU J., JIA Z., SONG Z., YANG X., CHEN K., LIANG P., Three-dimensional ultrasound image-guided robotic system for accurate microwave coagulation of malignant liver tumours, Int. J. Med. Robot Comput. Assist. Surg., 2010, 6 (June), 256–268.
- [40] ZHANG M., LI H., WANG H., XI G., LI Y., ZHAO B., Arthroscopic Internal Drainage with Cyst Wall Resection and Arthroscopic Internal Drainage with Cyst Wall Preservation to Treat Unicameral Popliteal Cysts: A Retrospective Case – Control Study, Orthop. Surg., 2021, 13 (4), 1159–1169, DOI: https://doi.org/10.1111/os.12917.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-59d6beb0-7183-4b58-a777-a0bf58c97569