Intraoperative cone beam computed tomography is as reliable as conventional computed tomography for identification of pedicle screw breach in thoracolumbar spine surgery.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Apr 2021
Historique:
received: 24 05 2020
accepted: 17 09 2020
revised: 04 08 2020
pubmed: 3 10 2020
medline: 15 4 2021
entrez: 2 10 2020
Statut: ppublish

Résumé

To test the hypothesis that intraoperative cone beam computed tomography (CBCT) using the Allura augmented reality surgical navigation (ARSN) system in a dedicated hybrid operating room (OR) matches computed tomography (CT) for identification of pedicle screw breach during spine surgery. Twenty patients treated with spinal fixation surgery (260 screws) underwent intraoperative CBCT as well as conventional postoperative CT scans (median 12 months after surgery) to identify and grade the degree of pedicle screw breach on both scan types, according to the Gertzbein grading scale. Blinded assessments were performed by three independent spine surgeons and the CT served as the standard of reference. Screws graded as Gertzbein 0 or 1 were considered clinically accurate while grades 2 or 3 were considered inaccurate. Sensitivity, specificity, and negative predictive value were the primary metrics of diagnostic performance. For this patient group, the negative predictive value of an intraoperative CBCT to rule out pedicle screw breach was 99.6% (CI 97.75-99.99%). Among 10 screws graded as inaccurate on CT, 9 were graded as such on the CBCT, giving a sensitivity of 90.0% (CI 55.5-99.75%). Among the 250 screws graded as accurate on CT, 244 were graded as such on the CBCT, giving a specificity of 97.6% (CI 94.85-99.11%). CBCT, performed intraoperatively with the Allura ARSN system, is comparable and non-inferior to a conventional postoperative CT scan for ruling out misplaced pedicle screws in spinal deformity cases, eliminating the need for a postoperative CT. • Intraoperative cone beam computed tomography (CT) using the Allura ARSN is comparable with conventional CT for ruling out pedicle screw breaches after spinal fixation surgery. • Intraoperative cone beam computed tomography can be used to assess need for revisions of pedicle screws making routine postoperative CT scans unnecessary. • Using cone beam computed tomography, the specificity was 97.6% and the sensitivity was 90% for detecting pedicle screw breaches and the negative predictive value for ruling out a pedicle screw breach was 99.6%.

Identifiants

pubmed: 33006659
doi: 10.1007/s00330-020-07315-5
pii: 10.1007/s00330-020-07315-5
pmc: PMC7979653
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2349-2356

Références

Gautschi OP, Schatlo B, Schaller K, Tessitore E (2011) Clinically relevant complications related to pedicle screw placement in thoracolumbar surgery and their management: a literature review of 35,630 pedicle screws. Neurosurg Focus 31:E8
doi: 10.3171/2011.7.FOCUS11168
Inamasu J, Guiot BH (2006) Vascular injury and complication in neurosurgical spine surgery. Acta Neurochir (Wien) 148:375–387
Staartjes VE, Klukowska AM, Schroder ML (2018) Pedicle screw revision in robot-guided, navigated, and freehand thoracolumbar instrumentation: a systematic review and meta-analysis. World Neurosurg 116:433–443 e438
doi: 10.1016/j.wneu.2018.05.159
Adogwa O, Parker SL, Shau D et al (2015) Cost per quality-adjusted life year gained of revision fusion for lumbar pseudoarthrosis: defining the value of surgery. J Spinal Disord Tech 28:101–105
doi: 10.1097/BSD.0b013e318269cc4a
Amato V, Giannachi L, Irace C, Corona C (2010) Accuracy of pedicle screw placement in the lumbosacral spine using conventional technique: computed tomography postoperative assessment in 102 consecutive patients. J Neurosurg Spine 12:306–313
doi: 10.3171/2009.9.SPINE09261
Du JP, Fan Y, Wu QN, Wang DH, Zhang J, Hao DJ (2018) Accuracy of pedicle screw insertion among 3 image-guided navigation systems: systematic review and meta-analysis. World Neurosurg 109:24–30
doi: 10.1016/j.wneu.2017.07.154
Siller S, Raith C, Zausinger S, Tonn JC, Szelenyi A (2019) Indication and technical implementation of the intraoperative neurophysiological monitoring during spine surgeries-a transnational survey in the German-speaking countries. Acta Neurochir (Wien). https://doi.org/10.1007/s00701-019-03974-6
Lehman RA, Potter BK, Kuklo TR et al (2004) Probing for thoracic pedicle screw tract violation(s): is it valid? J Spinal Disord Tech 17:277–283
doi: 10.1097/01.bsd.0000095399.27687.c5
Troni W, Benech CA, Perez R, Tealdi S, Berardino M, Benech F (2019) Focal hole versus screw stimulation to prevent false negative results in detecting pedicle breaches during spinal instrumentation. Clin Neurophysiol 130:573–581
doi: 10.1016/j.clinph.2018.11.029
Nevzati E, Fandino J, Schatlo B et al (2017) Validation and accuracy of intraoperative CT scan using the Philips AlluraXper FD20 angiography suite for assessment of spinal instrumentation. Br J Neurosurg. https://doi.org/10.1080/02688697.2017.1297764:1-6
Farber GL, Place HM, Mazur RA, Jones DE, Damiano TR (1995) Accuracy of pedicle screw placement in lumbar fusions by plain radiographs and computed tomography. Spine (Phila Pa 1976) 20:1494–1499
doi: 10.1097/00007632-199507000-00010
Kim YJ, Lenke LG, Bridwell KH, Cho YS, Riew KD (2004) Free hand pedicle screw placement in the thoracic spine: is it safe? Spine (Phila Pa 1976) 29:333–342 discussion 342
doi: 10.1097/01.BRS.0000109983.12113.9B
Maejima R, Takeuchi M, Wakao N et al (2019) Reliability of an intraoperative radiographic anteroposterior view of the spinal midline for detection of pedicle screws breaching the medial pedicle wall in the thoracic, lumbar, and sacral spine. World Neurosurg 125:e257–e261
doi: 10.1016/j.wneu.2019.01.058
Sarwahi V, Ayan S, Amaral T et al (2017) Can postoperative radiographs accurately identify screw misplacements? Spine Deform 5:109–116
doi: 10.1016/j.jspd.2016.10.007
Scheufler KM, Franke J, Eckardt A, Dohmen H (2011) Accuracy of image-guided pedicle screw placement using intraoperative computed tomography-based navigation with automated referencing. Part II: thoracolumbar spine. Neurosurgery 69:1307–1316
doi: 10.1227/NEU.0b013e31822ba190
Garber ST, Bisson EF, Schmidt MH (2012) Comparison of three-dimensional fluoroscopy versus postoperative computed tomography for the assessment of accurate screw placement after instrumented spine surgery. Global Spine J 2:95–98
doi: 10.1055/s-0032-1319775
Santos ER, Ledonio CG, Castro CA, Truong WH, Sembrano JN (2012) The accuracy of intraoperative O-arm images for the assessment of pedicle screw postion. Spine (Phila Pa 1976) 37:E119–E125
doi: 10.1097/BRS.0b013e3182257cae
Robb RA (1982) The dynamic spatial reconstructor: an X-ray video-fluoroscopic CT scanner for dynamic volume imaging of moving organs. IEEE Trans Med Imaging 1:22–33
doi: 10.1109/TMI.1982.4307545
Scarfe WC, Farman AG (2008) What is cone-beam CT and how does it work? Dent Clin N Am 52:707–730 v
doi: 10.1016/j.cden.2008.05.005
Nasseh I, Al-Rawi W (2018) Cone beam computed tomography. Dent Clin N Am 62:361–391
doi: 10.1016/j.cden.2018.03.002
Burström G, Nachabe R, Persson O, Edstrom E, Elmi Terander A (2019) Augmented and virtual reality instrument tracking for minimally invasive spine surgery: a feasibility and accuracy study. Spine (Phila Pa 1976) 44:1097–1104
doi: 10.1097/BRS.0000000000003006
Elmi-Terander A, Burström G, Nachabe R et al (2019) Pedicle screw placement using augmented reality surgical navigation with intraoperative 3D imaging: a first in-human prospective cohort study. Spine (Phila Pa 1976) 44:517–525
doi: 10.1097/BRS.0000000000002876
Burström G, Buerger C, Hoppenbrouwers J et al (2019) Machine learning for automated 3-dimensional segmentation of the spine and suggested placement of pedicle screws based on intraoperative cone beam computer tomography. J Neurosurg Spine 31:147–154
doi: 10.3171/2018.12.SPINE181397
Edström E, Burström G, Nachabe R, Gerdhem P, Elmi Terander A (2020) A novel augmented-reality-based surgical navigation system for spine surgery in a hybrid operating room: design, workflow, and clinical applications. Oper Neurosurg (Hagerstown) 18:496–502
doi: 10.1093/ons/opz236
Elmi-Terander A, Burström G, Nachabe R et al (2020) Augmented reality navigation with intraoperative 3D imaging vs fluoroscopy-assisted free-hand surgery for spine fixation surgery: a matched-control study comparing accuracy. Sci Rep 10:707
doi: 10.1038/s41598-020-57693-5
Edström E, Burström G, Persson O et al (2020) Does augmented reality navigation increase pedicle screw density compared to free-hand technique in deformity surgery? Single surgeon case series of 44 patients. Spine (Phila Pa 1976) 45(17):E1085-E1090
Edström E, Burström G, Omar A et al (2020) Augmented reality surgical navigation in spine surgery to minimize staff radiation exposure. Spine (Phila Pa 1976) 45:E45–E53
doi: 10.1097/BRS.0000000000003197
Nachabe R, Strauss K, Schueler B, Bydon M (2019) Radiation dose and image quality comparison during spine surgery with two different, intraoperative 3D imaging navigation systems. J Appl Clin Med Phys 20:136–145
doi: 10.1002/acm2.12534
Elmi-Terander A, Skulason H, Soderman M et al (2016) Surgical navigation technology based on augmented reality and integrated 3D intraoperative imaging: a spine cadaveric feasibility and accuracy study. Spine (Phila Pa 1976) 41:E1303–E1311
doi: 10.1097/BRS.0000000000001830
Gertzbein SD, Robbins SE (1990) Accuracy of pedicular screw placement in vivo. Spine (Phila Pa 1976) 15:11–14
doi: 10.1097/00007632-199001000-00004
Altman DG (1990) Practical statistics for medical research. CRC Press, Boca Raton, pp 403–406
Chaturvedi H, Shweta R (2015) Evaluation of inter-rater agreement and inter-rater reliability for observational data: an overview of concepts and methods. J Indian Acad Appl Psychol 41:20–27
Fleiss JL (1971) Measuring nominal scale agreement among many raters. Psychol Bull 76:378
doi: 10.1037/h0031619
Collett D (1999) Modelling binary data. Chapman and Hall/CRC Press, Boca Raton, p 24
Sing T, Sander O, Beerenwinkel N, Lengauer T (2005) ROCR: visualizing classifier performance in R. Bioinformatics 21:3940–3941
doi: 10.1093/bioinformatics/bti623
Mendelsohn D, Strelzow J, Dea N et al (2016) Patient and surgeon radiation exposure during spinal instrumentation using intraoperative computed tomography-based navigation. Spine J 16:343–354
doi: 10.1016/j.spinee.2015.11.020
Kleinerman RA (2006) Cancer risks following diagnostic and therapeutic radiation exposure in children. Pediatr Radiol 36(Suppl 2):121–125
doi: 10.1007/s00247-006-0191-5
Ronckers CM, Land CE, Miller JS, Stovall M, Lonstein JE, Doody MM (2010) Cancer mortality among women frequently exposed to radiographic examinations for spinal disorders. Radiat Res 174:83–90
doi: 10.1667/RR2022.1
Cordemans V, Kaminski L, Banse X, Francq BG, Cartiaux O (2017) Accuracy of a new intraoperative cone beam CT imaging technique (Artis zeego II) compared to postoperative CT scan for assessment of pedicle screws placement and breaches detection. Eur Spine J 26:2906–2916
doi: 10.1007/s00586-017-5139-y
Rao G, Brodke DS, Rondina M, Dailey AT (2002) Comparison of computerized tomography and direct visualization in thoracic pedicle screw placement. J Neurosurg 97:223–226
pubmed: 12296683
Berazaluce AMC, Hanke RE, von Allmen D, Racadio JM (2019) The state of the hybrid operating room: technological acceleration at the pinnacle of collaboration. Curr Surg Rep 7(4):7

Auteurs

Gustav Burström (G)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. gustav.burstrom@ki.se.
Department of Neurosurgery, PO Neurokirurgi, Karolinska University Hospital, 171 64, Stockholm, Sweden. gustav.burstrom@ki.se.

Paulina Cewe (P)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Trauma and Musculoskeletal Radiology, Karolinska University Hospital, Stockholm, Sweden.

Anastasios Charalampidis (A)

Department of Clinical Sciences, Intervention and Technology (CLINTEC), Karolinska Institutet and Department of Reconstructive Orthopaedics, Karolinska University Hospital, Stockholm, Sweden.

Rami Nachabe (R)

Department of Image Guided Therapy Systems, Philips Healthcare, Best, The Netherlands.

Michael Söderman (M)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.

Paul Gerdhem (P)

Department of Clinical Sciences, Intervention and Technology (CLINTEC), Karolinska Institutet and Department of Reconstructive Orthopaedics, Karolinska University Hospital, Stockholm, Sweden.

Adrian Elmi-Terander (A)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Neurosurgery, PO Neurokirurgi, Karolinska University Hospital, 171 64, Stockholm, Sweden.

Erik Edström (E)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Neurosurgery, PO Neurokirurgi, Karolinska University Hospital, 171 64, Stockholm, Sweden.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH