In-Silico Analysis of Optimal Configurations for Rotational Bioinspired Bone Marrow Biopsy Needle Designs: An ANN Approach.

ANN modelling Bidirectional rotation Cutting forces Needle insertion Tissue damage Uni-directional rotation

Journal

Annals of biomedical engineering

ISSN: 1573-9686

Titre abrégé: Ann Biomed Eng

Pays: United States

ID NLM: 0361512

Informations de publication

Date de publication:
22 Dec 2023

Historique:

received: 23 10 2023

accepted: 05 12 2023

medline: 23 12 2023

pubmed: 23 12 2023

entrez: 22 12 2023

Statut: aheadofprint

Résumé

Medical needle innovations have utilized rotating motion to enhance tissue-cutting capabilities, reducing cutting force and improving clinical outcomes. This study analyzes the effects of six essential factors on insertion and extraction forces during bone marrow biopsy (BMB) procedures. The study uses Taguchi's L32 orthogonal array and numerically simulates the BMB process using the Lagrangian surface-based method on a three-dimensional (3D) heterogeneous Finite Element (FE) model of the human iliac crest. The study evaluates cutting forces in needle insertion and extraction using uni-directional (360° rotation) and bidirectional (180° clock and anti-clock rotation) bioinspired BMB needles. This work aims to create an AI tool that assists researchers and clinicians in selecting the most suitable and safe design parameters for a bio-inspired barbed biopsy needle. An efficient Graphical User Interface (GUI) has been developed for easy use and seamless interaction with the AI tool. With a remarkable accuracy rate exceeding 98%, the tool's predictions hold significant value in facilitating the development of environmentally conscious biopsy needles. The tool demonstrates significantly higher efficiency compared to Abaqus, rendering it a valuable asset for researchers and clinicians engaged in bio-inspired biopsy needle development.

Identifiants

DOI: 10.1007/s10439-023-03421-9 PMID: 38135833

pubmed: 38135833

doi: 10.1007/s10439-023-03421-9

pii: 10.1007/s10439-023-03421-9

doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

Informations de copyright

Références

Nadda, R., A. K. Sahani, and R. Repaka. A systematic review of real-time fine-needle aspiration biopsy methods for soft tissues. IETE Tech. Rev. 39:1011–1026, 2022. https://doi.org/10.1080/02564602.2021.1955758 .

doi: 10.1080/02564602.2021.1955758

Atkins, A. G., X. Xu, and G. Jeronimidis. Cutting, by “pressing and slicing”, of thin floppy slices of materials illustrated by experiments on cheddar cheese and salami. J. Mater. Sci. 39:2761–2766, 2004. https://doi.org/10.1023/B:JMSC.0000021451.17182.86 .

doi: 10.1023/B:JMSC.0000021451.17182.86

Nadda, R., R. Repaka, and A. K. Sahani. Numerical modeling of conical-shaped bone marrow biopsy needle into multi-layer iliac crest model. J. Eng. Sci. Med. Diagn. Ther. 6:011001, 2023.

Barnett, A. C., Y. S. Lee, and J. Z. Moore. Fracture mechanics model of needle cutting tissue. J. Manuf. Sci. Eng. 138:11005–11008, 2015. https://doi.org/10.1115/1.4030374 .

doi: 10.1115/1.4030374

Nadda, R., R. Repaka, N. Mallik, and A. K. Sahani. A prospective survey on trephine biopsy of bone and bone marrow: an experience with 274 Indian patients’ biopsies. Eur. J. Med. Res. 28:193, 2023. https://doi.org/10.1186/s40001-023-01167-7 .

doi: 10.1186/s40001-023-01167-7 pubmed: 37353842 pmcid: 10290326

Schaefer, F. K., B. M. Order, C. Eckmann-Scholz, A. Strauss, F. Hilpert, K. Kroj, J. Biernath- Wupping, M. Heller, W. Jonat, and P. J. Schaefer. Interventional bleeding, hematoma and scar-formation after vacuum-biopsy under stereotactic guidance: Mammotome((r)) system 11 g/8 g vs. atec((r))-system 12 g/9 g. Eur. J. Radiol. 1:739–745, 2012. https://doi.org/10.1016/j.ejrad.2012.01.033 .

doi: 10.1016/j.ejrad.2012.01.033

Zagouri, F., A. Gounaris, P. Liakou, D. Chrysikos, I. Flessas, G. Bletsa, G. Giannakopoulou, N. V. Michalopoulos, P. Safioleas, and G. C. Zografos. Vacuum-assisted breast biopsy: more cores, more hematomas? In Vivo. 25:703–705, 2011.

pubmed: 21709018

Tsumura, R., Y. Takishita, Y. Fukushima, and H. Iwata. Histological evaluation of tissue damage caused by rotational needle insertion. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., 2016. https://doi.org/10.1109/EMBC.2016.7591879 .

doi: 10.1109/EMBC.2016.7591879 pubmed: 28269419

Meltsner, M. A., N. J. Ferrier, and B. R. Thomadsen. Observations on rotating needle insertions using a brachytherapy robot. Phys. Med. Biol. 52:6027–6037, 2007. https://doi.org/10.1088/0031-9155/52/19/021 .

doi: 10.1088/0031-9155/52/19/021 pubmed: 17881817

Zografos, G. C., F. Zagouri, T. N. Sergentanis, N. Nikiteas, and I. P. Gomatos. Hematoma after vacuum-assisted breast biopsy: a preventable condition? Acta Radiol. 49:277, 2008. https://doi.org/10.1080/02841850701784552 .

doi: 10.1080/02841850701784552 pubmed: 18365814

Moore, J., K. Malukhin, A. Shih, and K. Ehmann. Hollow needle tissue insertion force model. CIRP Ann. Manuf. Technol. 60:157–160, 2011. https://doi.org/10.1016/j.cirp.2011.03.101 .

doi: 10.1016/j.cirp.2011.03.101

Moore, J. Z., Q. H. Zhang, C. S. McGill, H. J. Zheng, P. W. McLaughlin, and A. Shih. Modeling of the plane needle cutting edge rake and inclination angles for biopsy. J. Manuf. Sci. Eng: Trans. ASME. 132:051005, 2010. https://doi.org/10.1115/1.4002190 .

doi: 10.1115/1.4002190

Izumi, H., T. Yajima, S. Aoyagi, N. Tagawa, Y. Arai, and M. Hirata. Combined harpoonlike jagged microneedles imitating mosquito’s proboscis and its insertion experiment with vibration. IEEJ Trans. Electr. Electron. Eng. 3:425–431, 2008. https://doi.org/10.1115/1.4002190 .

doi: 10.1115/1.4002190

Han, P., and K. Ehmann. Study of the effect of cannula rotation on tissue cutting for needle biopsy. Med. Eng. Phys. 35:1584–1590, 2013. https://doi.org/10.1016/j.medengphy.2013.05.001 .

doi: 10.1016/j.medengphy.2013.05.001 pubmed: 23727155

Langevin, H. M., D. L. Churchill, J. R. Fox, G. J. Badger, B. S. Garra, and M. H. Krag. Biomechanical response to acupuncture needling in humans. J. Appl. Physiol. 91:2471–2478, 2001. https://doi.org/10.1152/jappl.2001.91.6.2471 .

doi: 10.1152/jappl.2001.91.6.2471 pubmed: 11717207

Hochman, M. N., and M. J. Friedman. In vitro study of needle deflection: a linear insertion technique versus a bidirectional rotation insertion technique. Quintessence Int. 31:33–39, 2000.

pubmed: 11203904

Lee, H., and J. Kim. Estimation of flexible needle deflection in layered soft tissues with different elastic moduli. Med. Biol. Eng. Comput. 52:729–740, 2014. https://doi.org/10.1007/s11517-014-1173-7 .

doi: 10.1007/s11517-014-1173-7 pubmed: 25008003

Lehmann, T., C. Rossa, N. Usmani, R. Sloboda, and M. Tavakoli. Deflection modeling for a needle actuated by lateral force and axial rotation during insertion in soft phantom tissue. Mechatronics. 48:43–52, 2017. https://doi.org/10.1016/j.mechatronics.2017.10.008 .

doi: 10.1016/j.mechatronics.2017.10.008

Nadda, R., R. Repaka, and A. K. Sahani. Development of a multi-layer iliac crest numerical model for simulating honeybee stinger-inspired hollow needle insertion. J. Eng. Sci. Med. Diagn. Ther. 7:011005, 2024. https://doi.org/10.1115/1.4063054 .

doi: 10.1115/1.4063054

Ayvali, E., C. P. Liang, M. Ho, Y. Chen, and J. P. Desai. Towards a discretely actuated steerable cannula for diagnostic and therapeutic procedures. Int. J. Rob. Res. 31:588–603, 2012. https://doi.org/10.1177/0278364912442429 .

doi: 10.1177/0278364912442429 pubmed: 22639482 pmcid: 3359092

Sahlabadi, M., and P. Hutapea. Novel design of honeybee-inspired needles for percutaneous procedure. Bioinspir. Biomim.13:036013, 2018. https://doi.org/10.1088/1748-3190/aaa348 .

doi: 10.1088/1748-3190/aaa348 pubmed: 29261096

Nadda, R., R. Repaka, and A. K. Sahani. Honeybee stinger-based biopsy needle and influence of the barbs on needle forces during insertion/extraction into the iliac crest: a multi-layer finite element approach. Comput. Bio. Med.162:107125, 2023. https://doi.org/10.1016/j.compbiomed.2023.107125 .

doi: 10.1016/j.compbiomed.2023.107125

Nadda, R., R. Repaka, and A. K. Sahani. Finite element simulation of multi-layer model to simulate fine needle insertion mechanism into iliac crest for bone marrow biopsy. Comput. Methods Biomech. Biomed. Engin. 26:877–892, 2022. https://doi.org/10.1080/10255842.2022.2095204 .

doi: 10.1080/10255842.2022.2095204 pubmed: 35770927

Okamura, A. M., C. Simone, and O‘Leary MD,. Force modeling for needle insertion intosoft tissue. IEEE Trans. Bio-Med. Eng. 51:1707–1716, 2004.

doi: 10.1109/TBME.2004.831542

Abolhassani, N., R. Patel, and M. Moallem. Needle insertion into soft tissue: a survey. Med. Eng. Phys. 29:413–431, 2007. https://doi.org/10.1016/j.medengphy.2006.07.003 .

doi: 10.1016/j.medengphy.2006.07.003 pubmed: 16938481

Ling, J., Z. Songa, J. Wanga, K. Chena, J. Lia, S. Xua, L. Rena, Z. Chena, D. Jina, and L. Jianga. Effect of honeybee stinger and its microstructured barbs on insertion and pull force. J. Mech. Behav. Biomed. Mater. 68:173–179, 2017. https://doi.org/10.1016/j.jmbbm.2017.01.040 .

doi: 10.1016/j.jmbbm.2017.01.040 pubmed: 28171813

Singh, P. K., and P. Sarkar. An artificial neural network tool to support the decision making of designers for environmentally conscious product development. Expert Syst. Appl.212:118679, 2023. https://doi.org/10.1016/j.eswa.2022.118679 .

doi: 10.1016/j.eswa.2022.118679

Kumar, R., R. Nadda, S. Kumar, A. Razak, M. Sharifpur, H. S. Aybar, C. A. Saleel, and A. Afzal. Influence of artificial roughness parametric variation on thermal performance of solar thermal collector: an experimental study, response surface analysis and ANN modelling Sustain. Energy Technol. Assess.52:102047, 2022. https://doi.org/10.1016/j.seta.2022.102047 .

doi: 10.1016/j.seta.2022.102047

Kumar, R., R. Aggarwal, J. Sharma, and S. Pathania. Predicting energy requirement for cooling the building using artificial neural network. J. Renew. Sustain. Energy. 2(1):7–12, 2012. https://doi.org/10.6000/1929-6002,2012.01.02.6 .

doi: 10.6000/1929-6002,2012.01.02.6