Korean J Pain.  2022 Oct;35(4):403-412. 10.3344/kjp.2022.35.4.403.

Development of pre-procedure virtual simulation for challenging interventional procedures: an experimental study with clinical application

Affiliations
  • 1Department of Anesthesiology and Pain Medicine, Korea University Anam Hospital, Seoul, Korea

Abstract

Background
Most pain management techniques for challenging procedures are still performed under the guidance of the C-arm fluoroscope although it is sometimes difficult for even experienced clinicians to understand the modified threedimensional anatomy as a two-dimensional X-ray image. To overcome these difficulties, the development of a virtual simulator may be helpful. Therefore, in this study, the authors developed a virtual simulator and presented its clinical application cases.
Methods
We developed a computer program to simulate the actual environment of the procedure. Computed tomography (CT) Digital Imaging and Communications in Medicine (DICOM) data were used for the simulations. Virtual needle placement was simulated at the most appropriate position for a successful block. Using a virtual C-arm, the authors searched for the position of the C-arm at which the needle was visualized as a point. The positional relationships between the anatomy of the patient and the needle were identified.
Results
For the simulations, the CT DICOM data of patients who visited the outpatient clinic was used. When the patients revisited the clinic, images similar to the simulated images were obtained by manipulating the C-arm. Transforaminal epidural injection, which was difficult to perform due to severe spinal deformity, and the challenging procedures of the superior hypogastric plexus block and Gasserian ganglion block, were successfully performed with the help of the simulation.
Conclusions
We created a pre-procedural virtual simulation and demonstrated its successful application in patients who are expected to undergo challenging procedures.

Keyword

Computer-Assisted Instruction; Computer Simulation; Humans; Hypogastric Plexus; Injections; Epidural; Pain Management; Simulation Training; Tomography; X-Ray Computed; Trigeminal Ganglion; User-Computer Interface; Virtual Reality

Figure

  • Fig. 1 Process of acquiring the patient’s image in a virtual space. (A) The computed tomographic image is obtained and positioned in the virtual space by using the values of image orientation, image position, and pixel spacing values. (B) When the Hounsfield unit value of 200–400 is only visualized, a bone-like three-dimensional image could be acquired.

  • Fig. 2 Virtual X-ray generation. Virtual X-rays are generated from the generator to the inside of the four corners of the detector, and the spatial coordinates are divided by the desired resolutions (A, 5 × 5) and (B, 10 × 10). The movement of the virtual C-arm is programmed to mimic the movements of the actual C-arm, with adjustments made using a keyboard. After calculating the point on the computed tomography slice where each X-ray collision occurred, the corresponding Hounsfield unit values are obtained. The degree of absorption of the X-rays is calculated and subsequently converted to the pixel value (C, resolution 128 × 128 and D, resolution 512 × 512).

  • Fig. 3 Creation of a procedure needle expressed on a virtual X-ray. (A, B) Patient’s Digital Imaging and Communications in Medicine and polygonal data are positioned in the same virtual space to manipulate the simulation conveniently. (C) Creation of the virtual needle similar to the actual needle. (D) Colliders are set in the handle and the needle shaft. (E, F) When the virtual X-ray collides with the collider of the needle, a value of 2,000 is added so that it can be expressed as a metallic material in the virtual X-ray.

  • Fig. 4 Application of virtual simulation before performing transforaminal epidural injection in a patient with severe spinal deformity. (A) Axial plane of T2-weighted magnetic resonance imaging (MRI). Lumbar MRI of the patient revealed left sided L5 nerve root irritation due to severe spinal deformity seemed to be the cause of pain. (B) Three-dimensional virtual procedural planning. The virtual needle is placed in the most appropriate position. (C) Oblique view of the virtual X-ray image is saved where the needle presents as a pinpoint. (D) Anteroposterior view of the simulated virtual X-ray. (E) The patient’s oblique X-ray image during the procedure. (F) The patient’s X-ray image in the anteroposterior view during the procedure. White asterisk: needle, TP: transverse process, SAP: superior articular process, Dotted lines: contour of anatomical structures.

  • Fig. 5 Application of virtual simulation in performing the superior hypogastric plexus block. (A) Coronal view of the patient’s magnetic resonance image. Metastasis to the right sided L5 vertebra and sacral ala seems to cause the pain. (B) Three-dimensional virtual procedural planning. The virtual needle is placed at the most appropriate position. (C) Oblique view of the virtual X-ray image is saved where the needle presents as a pinpoint. (D) Anteroposterior view of the simulated virtual X-ray. (E) The patient’s oblique X-ray image during the procedure. (F) The patient’s X-ray image in the anteroposterior view during the procedure. White asterisk: needle, TP: transverse process, SAP: superior articular process, Dotted lines: contour of anatomical structures.

  • Fig. 6 Application of virtual simulation in performing the Gasserian ganglion block. (A, B) Three-dimensional virtual procedural planning. The virtual needle is placed at the most appropriate position with reference to the right foramen ovale. (C) Caudal tilted anteroposterior view of the virtual X-ray image is saved where the needle presented as a pinpoint. (D) Lateral view of the simulated virtual X-ray. (E) The patient’s X-ray image in the caudal tilted anteroposterior view during the procedure. (F) The patient’s X-ray image in the lateral view during the procedure. White asterisk: needle, Dotted lines: contour of anatomical structures.


Reference

1. Bernardo A. 2017; Virtual reality and simulation in neurosurgical training. World Neurosurg. 106:1015–29. DOI: 10.1016/j.wneu.2017.06.140. PMID: 28985656. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030221433&origin=inward.
Article
2. Kockro RA, Serra L, Tseng-Tsai Y, Chan C, Yih-Yian S, Gim-Guan C, et al. 2000; Planning and simulation of neurosurgery in a virtual reality environment. Neurosurgery. 46:118–35. DOI: 10.1093/neurosurgery/46.1.118. PMID: 10626943. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=18544401605&origin=inward.
Article
3. Mutter D, Dallemagne B, Bailey C, Soler L, Marescaux J. 2009; 3D virtual reality and selective vascular control for laparoscopic left hepatic lobectomy. Surg Endosc. 23:432–5. DOI: 10.1007/s00464-008-9931-y. PMID: 18443871. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=65249137590&origin=inward.
Article
4. Chou R, Gordon DB, de Leon-Casasola OA, Rosenberg JM, Bickler S, Brennan T, et al. 2016; Management of postoperative pain: a clinical practice guideline from the American Pain Society, the American Society of Regional Anesthesia and Pain Medicine, and the American Society of Anesthesiologists' Committee on Regional Anesthesia, Executive Committee, and Administrative Council. J Pain. 17:131–57. Erratum in: J Pain 2016; 17: 508-10. DOI: 10.1016/j.jpain.2015.12.008. PMID: 26827847. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959275025&origin=inward.
Article
5. Ehlke M, Ramm H, Lamecker H, Hege HC, Zachow S. 2013; Fast generation of virtual X-ray images for reconstruction of 3D anatomy. IEEE Trans Vis Comput Graph. 19:2673–82. DOI: 10.1109/TVCG.2013.159. PMID: 24051834. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84886715427&origin=inward.
Article
6. Shen F, Chen B, Guo Q, Qi Y, Shen Y. 2013; Augmented reality patient-specific reconstruction plate design for pelvic and acetabular fracture surgery. Int J Comput Assist Radiol Surg. 8:169–79. DOI: 10.1007/s11548-012-0775-5. PMID: 22752350. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84878888400&origin=inward.
Article
7. Allen DR. 2020. Simulation approaches to X-ray C-arm-based interventions [master's thesis]. The University of Western Ontario;London (ON): https://ir.lib.uwo.ca/etd/7231/.
8. De Silva T, Punnoose J, Uneri A, Mahesh M, Goerres J, Jacobson M, et al. 2018; Virtual fluoroscopy for intraoperative C-arm positioning and radiation dose reduction. J Med Imaging (Bellingham). 5:015005. DOI: 10.1117/1.JMI.5.1.015005. PMID: 29487882. PMCID: PMC5812884. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042444462&origin=inward.
Article
9. De Silva T, Punnoose J, Uneri A, Goerres J, Jacobson M, Ketcha MD, et al. 2017; C-arm positioning using virtual fluoroscopy for image-guided surgery. Proc SPIE Int Soc Opt Eng. 10135:101352K. DOI: 10.1117/12.2256028. PMID: 28572694. PMCID: PMC5449120. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85020447848&origin=inward.
Article
10. Touchette M, Newell R, Anglin C, Guy P, Lefaivre K, Amlani M, et al. 2021; The effect of artificial X-rays on C-arm positioning performance in a simulated orthopaedic surgical setting. Int J Comput Assist Radiol Surg. 16:11–22. DOI: 10.1007/s11548-020-02280-2. PMID: 33146849. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85094898276&origin=inward.
Article
11. Muschelli J. 2019; Recommendations for processing head CT data. Front Neuroinform. 13:61. DOI: 10.3389/fninf.2019.00061. PMID: 31551745. PMCID: PMC6738271. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85075822608&origin=inward.
Article
12. Sattler B, Lee JA, Lonsdale M, Coche E. 2010; PET/CT (and CT) instrumentation, image reconstruction and data transfer for radiotherapy planning. Radiother Oncol. 96:288–97. DOI: 10.1016/j.radonc.2010.07.009. PMID: 20709416. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77956188071&origin=inward.
Article
13. Våpenstad C, Buzink SN. 2013; Procedural virtual reality simulation in minimally invasive surgery. Surg Endosc. 27:364–77. DOI: 10.1007/s00464-012-2503-1. PMID: 22956001. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875827513&origin=inward.
Article
14. Clarençon F, Law-Ye B, Bienvenot P, Cormier É, Chiras J. 2016; The degenerative spine. Magn Reson Imaging Clin N Am. 24:495–513. DOI: 10.1016/j.mric.2016.04.008. PMID: 27417397. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84979031451&origin=inward.
Article
15. Choi JW, Kim WH, Lee CJ, Sim WS, Park S, Chae HB. 2018; The optimal approach for a superior hypogastric plexus block. Pain Pract. 18:314–21. DOI: 10.1111/papr.12603. PMID: 28520297. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021780736&origin=inward.
Article
16. Lee YW, Yoon DM, Lee GM, Han ST, Park HJ. 2000; Trans-intervertebral disc approach of superior hypogastric plexus block for pelvic cancer pain a retrospective study. J Korean Pain Soc. 13:202–7.
17. Bosscher H. 2001; Blockade of the superior hypogastric plexus block for visceral pelvic pain. Pain Pract. 1:162–70. DOI: 10.1046/j.1533-2500.2001.01017.x. PMID: 17129292.
Article
18. Urits I, Schwartz R, Herman J, Berger AA, Lee D, Lee C, et al. 2021; A comprehensive update of the superior hypogastric block for the management of chronic pelvic pain. Curr Pain Headache Rep. 25:13. DOI: 10.1007/s11916-020-00933-0. PMID: 33630172. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85101922424&origin=inward.
Article
19. Rocha A, Plancarte R, Nataren RGR, Carrera IHS, Pacheco V, Hernandez-Porras BC. 2020; Effectiveness of superior hypogastric plexus neurolysis for pelvic cancer pain. Pain Physician. 23:203–8. DOI: 10.36076/ppj.2020/23/203. PMID: 32214302.
20. Nurmikko TJ, Eldridge PR. 2001; Trigeminal neuralgia--pathophysiology, diagnosis and current treatment. Br J Anaesth. 87:117–32. DOI: 10.1093/bja/87.1.117. PMID: 11460800. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0034942939&origin=inward.
Article
21. Matys T, Ali T, Zaccagna F, Barone DG, Kirollos RW, Massoud TF. 2019; Ossification of the pterygoalar and pterygospinous ligaments: a computed tomography analysis of infratemporal fossa anatomical variants relevant to percutaneous trigeminal rhizotomy. J Neurosurg. 132:1942–51. DOI: 10.3171/2019.2.JNS182709. PMID: 31075780. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085993638&origin=inward.
Article
22. Brown JA. 1997; Direct carotid cavernous fistula after trigeminal balloon microcompression gangliolysis: case report. Neurosurgery. 40:886. DOI: 10.1097/00006123-199704000-00060. PMID: 9092871. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0030933275&origin=inward.
Article
23. James EA, Kibbler CC, Gillespie SH. 1995; Meningitis due to oral streptococci following percutaneous glycerol rhizotomy of the trigeminal ganglion. J Infect. 31:55–7. DOI: 10.1016/S0163-4453(95)91457-9. PMID: 8522835. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0029148995&origin=inward.
Article
24. Rath GP, Dash HH, Bithal PK, Goyal V. 2009; Intracranial hemorrhage after percutaneous radiofrequency trigeminal rhizotomy. Pain Pract. 9:82–4. DOI: 10.1111/j.1533-2500.2008.00246.x. PMID: 19019055. PMID: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=58249126256&origin=inward.
Article
25. Bohnstedt BN, Tubbs RS, Cohen-Gadol AA. 2012; The use of intraoperative navigation for percutaneous procedures at the skull base including a difficult-to-access foramen ovale. Neurosurgery. 70(2 Suppl Operative):177–80. DOI: 10.1227/NEU.0b013e3182309448. PMID: 21822157.
Article
Full Text Links
  • KJP
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr