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Research Articles

Enhancing perioperative landmark detection during sacroiliac joint fusion in patients suffering from low back pain

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References

  • Schwarzer AC, Aprill CN, Bogduk N. The sacroiliac joint in chronic low back pain. Spine. 1995;20(1):31–37.
  • Sembrano JN, Polly DW. How often is low back pain not coming from the back? Spine. 2009;34(1):E27–E32.
  • Cohen SP, Chen Y, Neufeld NJ. Sacroiliac joint pain: a comprehensive review of epidemiology, diagnosis and treatment. Expert Rev Neurother. 2013;13(1):99–116.
  • Benzon HT, Raja S, Liu SS, et al. 2018. Essentials of pain medicine: chapter 66 – sacroiliac joint pain. Philadelphia (PA): Elsevier; p. 601–612.e2.
  • Lingutla K, Gudipati S, Pollock R, et al. Sacroiliac joint fusion for low back pain: a systematic review and meta-analysis. Spine J. 2015;15(0 ):S54.
  • Bronsard N, Pelletier Y, Andréani O, et al. O-arm-guided sacroiliac joint injection: new techniques with reflux test. Orthop Traumatol Surg Res. 2020;106(2):281–283.
  • Smith A, Capobianco R, Cher D, et al. Open versus minimally invasive sacroiliac joint fusion: a multi-center comparison of perioperative measures and clinical outcomes. Ann Surg Innov Res. 2013;7(1):14. 7–14
  • Ledonio C, Polly D, Swiontkowski MF, et al. Comparative effectiveness of open versus minimally invasive sacroiliac joint fusion. Med Devices (Auckl). 2014;7:187.
  • Whang P, Cher D, Polly D, et al. Sacroiliac joint fusion using triangular titanium implants vs. non-surgical management: six-month outcomes from a prospective randomized controlled trial. Int J Spine Surg. 2015;9:6.
  • Darr E, Meyer SC, Whang P, et al. Long-term prospective outcomes after minimally invasive trans-iliac sacroiliac joint fusion using triangular titanium implants. Med Devices (Auckl). 2018;11:113–121.
  • Heiney J, Capobianco R, Cher D. A systematic review of minimally invasive sacroiliac joint fusion utilizing a lateral transarticular technique. Int J Spine Surg. 2015;9:40.
  • Tran ZV, Ivashchenko A, Brooks L. Systematic review sacroiliac joint fusion methodology-minimally invasive compared to screw-type surgeries: a systematic review and meta-analysis. Pain Physician. 2019;22:29–40.
  • Miller LE, Reckling WC, Block JE. Analysis of postmarket complaints database for the iFuse SI joint fusion system®: a minimally invasive treatment for degenerative sacroiliitis and sacroiliac joint disruption. Med Devices. 2013;6:77.
  • Markelj P, Tomaževič D, Likar B, et al. A review of 3D/2D registration methods for image-guided interventions. Med Image Anal. 2012;16(3):642–661.
  • Chang CJ, Lin GL, Tse A, et al. Registration of 2D C-arm and 3D CT images for a C-arm image-assisted navigation system for spinal surgery. Appl Bionics Biomech. 2015;2015:1–9.
  • Bhat V, Bhat SN, Anitha H. Accelerated digitally reconstructed radiograph generation scheme for 2D to 3D image registration of vertebrae based on sparse sampling and multi-resolution. 2017 Ninth International Conference on Advanced Computing (ICoAC). IEEE; 2017. p. 51–57.
  • Yushkevich PA, Piven J, Hazlett HC, et al. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage. 2006;31(3):1116–1128.
  • Abdel-Basset M, Fakhry AE, El-Henawy I, et al. Feature and intensity based medical image registration using particle swarm optimization. J Med Syst. 2017;41(12):197.
  • Uneri A, Otake Y, Wang A, et al. 3D–2D registration for surgical guidance: effect of projection view angles on registration accuracy. Phys Med Biol. 2013;59(2):271–287.
  • Roth M, Dötter M, Burgkart R, et al. Fast intensity-based fluoroscopy-to-CT registration using pattern search optimization. Int Congress Ser. 2004;1268:165–170.
  • Otake Y, Wang AS, Stayman J, et al. Robust 3D–2D image registration: application to spine interventions and vertebral labeling in the presence of anatomical deformation. Phys Med Biol. 2013;58(23):8535–8553.
  • Duménil A, Kaladji A, Castro M, et al. A versatile intensity-based 3D/2D rigid registration compatible with mobile C-arm for endovascular treatment of abdominal aortic aneurysm. Int J Comput Assist Radiol Surg. 2016;11(9):1713–1729.
  • Fu D, Kuduvalli G. A fast, accurate, and automatic 2D-3D image registration for image-guided cranial radiosurgery. Med Phys. 2008;35(5):2180–2194.
  • Jans H-S, Syme AM, Rathee S, et al. 3D interfractional patient position verification using 2D-3D registration of orthogonal images. Med Phys. 2006;33(5):1420–1439.
  • Frühwald L, Kettenbach J, Figl M, et al. A comparative study on manual and automatic slice-to-volume registration of CT images. Eur Radiol. 2009;19(11):2647–2653.
  • Krishnan R, Hermann E, Wolff R, et al. Automated fiducial marker detection for patient registration in image-guided neurosurgery. Comput Aided Surg. 2003;8(1):17–23.
  • Silva TD, Punnoose J, Uneri A, et al. C-arm positioning using virtual fluoroscopy for image-guided surgery. Medical imaging 2017: image-guided procedures, robotic interventions, and modeling. Bellingham (WA): SPIE; 2017.
  • Leschka SC, Babic D, Shikh SE, et al. C-arm cone beam computed tomography needle path overlay for image-guided procedures of the spine and pelvis. Neuroradiology. 2011;54(3):215–223.