nach oben

Erschienen in:

2022 | OriginalPaper | Buchkapitel

Potential Application of CEM43 °C and Arrhenius Model in Neurosurgical Bone Grinding

verfasst von : Atul Babbar, Vivek Jain, Dheeraj Gupta, Chander Prakash, Deepak Agrawal

Erschienen in: Numerical Modelling and Optimization in Advanced Manufacturing Processes

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

This book chapter provides comprehensive information about the potential applications of thermal dose models in the neurosurgical bone grinding operations. Firstly, CEM43 °C thermal dose thresholds have been explained along with its in-vivo significance. Subsequently, the relationship between the Arrhenius model and CEM43 °C have been established and explained. The kinetic coefficients and recommendations made by the past researchers have been accentuated. The threshold levels of the thermal damage have been explained as reported by the previous researchers. The time–temperature relation of cell death has been discussed. It has been observed that two factors namely exposure time and exposure temperature determine the rate of cell killing. The temperature generated during the bone grinding operation is converted into the equivalent number of minutes at 43 °C since this temperature has been considered as the threshold for thermogenesis. However, bone necrosis has been reported at a temperature of 47 °C for 1 min of thermal exposure. In the present chapter, detailed in-vivo and in-vitro case studies have been provided to understand the use of thermal dose model in predicting the degree/level of tissue damage owing to the generation of heat amid bone grinding operation.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Introduction to Optimization in Manufacturing Operations

Nächstes Kapitel An Effective Selection of Laser Cutter Used in Stent Manufacturing Through Fuzzy TOPSIS

Enderle, J.D., Bronzino, J.D.: Introduction to Biomedical Engineering (2011)

Chang, H.-I., Wang, Y.: Cell responses to surface and architecture of tissue engineering scaffolds. In: Regenerative Medicine and Tissue Engineering—Cells and Biomaterials (2011)

Hemmila, M.R., Foley, D.S., Casetti, A.V., et al.: Perfusion induced hyperthermia for oncologic therapy with cardiac and cerebral protection. ASAIO J. (2002). https://doi.org/10.1097/00002480-200207000-00004

Abdel-Wahab, A.A., Alam, K., Silberschmidt, V.V.: Analysis of anisotropic viscoelastoplastic properties of cortical bone tissues. J. Mech. Behav. Biomed. Mater. 4, 807–820 (2011). https://doi.org/10.1016/j.jmbbm.2010.10.001

Yarmolenko, P.S., Moon, E.J., Landon, C., et al.: Thresholds for thermal damage to normal tissues: an update. Int. J. Hyperth. 27, 320–343 (2011). https://doi.org/10.3109/02656736.2010.534527CrossRef

Simon, E., Schmid, H.A., Pehl, U.: Spinal neurons thermosensitivity in vivo and in vitro in relation to hypothalamic neuronal thermosensitivity. Prog. Brain Res. 115, 25–47 (1998)CrossRef

Ng, E.Y.K., Chua, L.T.: Prediction of skin burn injury. Part 2: Parametric and sensitivity analysis. Proc. Inst. Mech. Eng. Part H J. Eng. Med. 216, 171–183 (2002). https://doi.org/10.1243/0954411021536388CrossRef

Dewhirst, M.W., Viglianti, B.L., Lora-Michiels, M., et al.: Basic principles of thermal dosimetry and thermal thresholds for tissue damage from hyperthermia. Int. J. Hyperth. 19, 267–294 (2003). https://doi.org/10.1080/0265673031000119006

Babbar, A., Jain, V., Gupta, D.: Thermogenesis mitigation using ultrasonic actuation during bone grinding: a hybrid approach using CEM43 °C and Arrhenius model. J. Brazilian Soc. Mech. Sci. Eng. 41, 401 (2019). https://doi.org/10.1007/s40430-019-1913-6

10.

Yamamoto, S., Kim, P., Abe, Y., et al.: Bone temperature elevation by drilling friction and neurological outcome in the cervical spino-laminoplasty. Acta Neurochir (Wien) 155, 2321–2325 (2013). https://doi.org/10.1007/s00701-013-1867-xCrossRef

11.

Lee, J.E., Rabin, Y., Ozdoganlar, O.B.: A new thermal model for bone drilling with applications to orthopaedic surgery. Med. Eng. Phys. 33, 1234–1244 (2011). https://doi.org/10.1016/j.medengphy.2011.05.014CrossRef

12.

Linke, B., Duscha, M., Vu, A.T., Klocke, F.: FEM-based simulation of temperature in speed stroke grinding with 3D transient moving heat sources. In: Advanced Materials Research, pp. 733–742 (2011)

13.

Fernandes, A.P., dos Santos, M.B., Guimarães, G.: An analytical transfer function method to solve inverse heat conduction problems. Appl. Math. Model. 39, 6897–6914 (2015). https://doi.org/10.1016/j.apm.2015.02.012MathSciNetCrossRefMATH

14.

Shillor, M., Barber, G.C., Jen, T.: Thermal Anal. Grind. Process. 39, 991–1003 (2004). https://doi.org/10.1016/j.mcm2003.07.009CrossRef

15.

Kondo, S., Okada, Y., Iseki, H., et al.: Thermological study of drilling bone tissue with a high-speed drill, pp. 1162–1168 (2000). https://doi.org/10.1097/00006123-200005000-00029

16.

Abouzgia, M.B., Effect, J.M.S., Boiadjiev, G., et al.: Drilling of bone: a comprehensive review. Med. Eng. Phys. 41, 1–10 (2017). https://doi.org/10.1016/B978-0-12-803802-4.00006-8CrossRef

17.

Babbar, A., Jain, V., Gupta, D.: In vivo evaluation of machining forces, torque, and bone quality during skull bone grinding. Proc. Inst. Mech. Eng. Part H J. Eng. Med. 095441192091149 (2020). https://doi.org/10.1177/0954411920911499

18.

Babbar, A., Jain, V., Gupta, D.: Thermo-mechanical aspects and temperature measurement techniques of bone grinding. Mater. Today Proc. 1–5 (2020). https://doi.org/10.1016/j.matpr.2020.01.497

19.

Davidson, S.R., James, D.F.: Measurement of thermal conductivity of bovine cortical bone. Med. Eng. Phys. 22, 741–747 (2000)CrossRef

20.

Beck, J.V., Blackwell, B., Haji-Sheikh, A.: Comparison of some inverse heat conduction methods using experimental data. Int. J. Heat Mass. Transf. 39, 3649–3657 (1996). https://doi.org/10.1016/0017-9310(96)00034-8CrossRef

21.

Singh, D., Babbar, A., Jain, V., et al.: Synthesis, characterization, and bioactivity investigation of biomimetic biodegradable PLA scaffold fabricated by fused filament fabrication process. J. Brazilian Soc. Mech. Sci. Eng. 41, 121 (2019). https://doi.org/10.1007/s40430-019-1625-y

22.

Babbar, A., Singh, P., Farwaha, H.S.: Regression model and optimization of magnetic abrasive finishing of flat brass plate. Indian J. Sci. Technol. 10, 1–7 (2017). https://doi.org/10.17485/ijst/2017/v10i31/113860

23.

Babbar, A., Sharma, A., Jain, V., Jain, A.K.: Rotary ultrasonic milling of C/SiC composites fabricated using chemical vapor infiltration and needling technique. Mater. Res. Express 6, 085607 (2019). https://doi.org/10.1088/2053-1591/ab1bf7

24.

Babbar, A., Singh, P., Farwaha, H.S.: Parametric study of magnetic abrasive finishing of UNS C26000 flat brass plate. Int. J. Adv. Mechatron. Robot. 9, 83–89 (2017)

25.

Kumar, M., Babbar, A., Sharma, A., Shahi, A.S.: Effect of post weld thermal aging (PWTA) sensitization on micro-hardness and corrosion behavior of AISI 304 weld joints. J. Phys. Conf. Ser. 1240, 012078 (2019). https://doi.org/10.1088/1742-6596/1240/1/012078

26.

Babbar, A., Kumar, A., Jain, V., Gupta, D.: Enhancement of activated tungsten inert gas (A-TIG) welding using multi-component TiO₂–SiO₂–Al₂O₃ hybrid flux. Measurement 148, 106912 (2019). https://doi.org/10.1016/j.measurement.2019.106912

27.

Babbar, A., Sharma, A., Bansal, S., et al.: Materials today : proceedings potential applications of three-dimensional printing for anatomical simulations and surgical planning. Mater. Today Proc. (2020). https://doi.org/10.1016/j.matpr.2020.04.123

28.

Sharma, A., Babbar, A., Jain, V., Gupta, D.: Enhancement of surface roughness for brittle material during rotary ultrasonic machining. In: Chang G (ed) MATEC Web of Conferences, p. 01006 (2018)

29.

Babbar, A., Jain, V., Gupta, D.: Neurosurgical bone grinding. In: Biomanufacturing, pp. 137–155. Springer International Publishing, Cham (2019)CrossRef

30.

Baraiya, R., Babbar, A., Jain, V., Gupta, D.: In-situ simultaneous surface finishing using abrasive flow machining via novel fixture. J. Manuf. Process. 50, 266–278 (2020). https://doi.org/10.1016/j.jmapro.2019.12.051CrossRef

31.

Singh, G., Jain, V., Gupta, D., Sharma, A.: Parametric effect of vibrational drilling on osteonecrosis and comparative histopathology study with conventional drilling of cortical bone. Proc. Inst. Mech. Eng. Part H J. Eng. Med. 232, 975–986 (2018). https://doi.org/10.1177/0954411918794983CrossRef

32.

Chang, I.A.: Considerations for thermal injury analysis for RF ablation devices~!2009-09-09~!2009-12-19~!2010-02-04~! Open Biomed. Eng. J. 4, 3–12 (2010). https://doi.org/10.2174/1874120701004020003CrossRef

33.

Sapareto, S.A., Dewey, W.C.: Thermal dose determination in cancer therapy. Int. J. Radiat. Oncol. 10, 787–800 (1984). https://doi.org/10.1016/0360-3016(84)90379-1CrossRef

34.

He, X., McGee, S., Coad, J.E., et al.: Investigation of the thermal and tissue injury behaviour in microwave thermal therapy using a porcine kidney model. Int. J. Hyperth. (2004). https://doi.org/10.1080/0265673042000209770

35.

Pearce, J.A.: Relationship between Arrhenius models of thermal damage and the CEM 43 thermal dose. In: Ryan TP (ed) Energy-Based Treatment of Tissue and Assessment, p. 718104 (2009)

36.

Dewey, W.C.: Arrhenius relationships from the molecule and cell to the clinic. Int. J. Hyperth. 25, 3–20 (2009). https://doi.org/10.1080/02656730902747919CrossRef

37.

van Rhoon, G.C., Samaras, T., Yarmolenko, P.S., et al.: CEM43°C thermal dose thresholds: a potential guide for magnetic resonance radiofrequency exposure levels? Eur. Radiol. 23, 2215–2227 (2013). https://doi.org/10.1007/s00330-013-2825-yCrossRef

38.

Jr, H.F.: Studies of thermal injury; the predictability and the significance of thermally induced rate processes leading to irreversible epidermal injury. Arch. Pathol. 43, 489–502 (1947)

39.

Moritz, A.R., Henriques, F.C.: Studies of thermal injury: the relative importance of time and surface temperature in the causation of cutaneous burns. Am. J. Pathol. 23, 695–720 (1947). https://doi.org/10.1097/DAD.0b013e31820d15f0CrossRef

40.

Welch, A.J., Polhamus, G.D.: Measurement and prediction of thermal injury in the retina of the rhesus monkey. IEEE Trans. Biomed. Eng. (1984). https://doi.org/10.1109/TBME.1984.325313

41.

Seror, O., Lepetit-Coiffé, M., Bail, B., et al.: Real time monitoring of radiofrequency ablation based on MR thermometry and thermal dose in the pig liver in vivo. Eur. Radiol. (2008). https://doi.org/10.1007/s00330-007-0761-4

42.

Lepetit-Coiffé, M., Quesson, B., Seror, O., et al.: Real-time monitoring of radiofrequency ablation of rabbit liver by respiratory-gated quantitative temperature MRI. J. Magn. Reason. Imaging (2006). https://doi.org/10.1002/jmri.20605

43.

Werner, M.U., Lassen, B., Pedersen, J.L., Kehlet, H.: Local cooling does not prevent hyperalgesia following burn injury in humans. Pain (2002). https://doi.org/10.1016/S0304-3959(02)00030-1

44.

Mencucci, R., Ambrosini, S., Ponchietti, C., et al.: Ultrasound thermal damage to rabbit corneas after simulated phacoemulsification. J. Cataract. Refract. Surg. (2005). https://doi.org/10.1016/j.jcrs.2005.04.043

45.

Van Rhoon, G.C.: Is CEM43 still a relevant thermal dose parameter for hyperthermia treatment monitoring? Int. J. Hyperth. 32, 50–62 (2016)CrossRef

46.

Borrelli, M., Thompson, L., Cain, C., Dewey, W.: Time-temperature analysis of cell killing of BHK cells heated at temperatures in the range of 43.5–57.0 °C. Int. J. Radiat. Oncol. 19, 389–399 (1990). https://doi.org/10.1016/0360-3016(90)90548-XCrossRef

47.

Feldmann, A., Anso, J., Bell, B., et al.: Temperature prediction model for bone drilling based on density distribution and in vivo experiments for minimally invasive robotic cochlear implantation. Ann. Biomed. Eng. 44, 1576–1586 (2016). https://doi.org/10.1007/s10439-015-1450-0CrossRef

Titel: Potential Application of CEM43 °C and Arrhenius Model in Neurosurgical Bone Grinding
verfasst von: Atul Babbar
Vivek Jain
Dheeraj Gupta
Chander Prakash
Deepak Agrawal
Verlag: Springer International Publishing
Buch: Numerical Modelling and Optimization in Advanced Manufacturing Processes
Print ISBN: 978-3-031-04300-0

Electronic ISBN: 978-3-031-04301-7

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-031-04301-7_9

Premium Partner

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.

Zur Marktübersicht