Literature DB >> 27513224

CT Radiation Dose Reduction in Robot-assisted Pediatric Spinal Surgery.

William F Sensakovic1, M Cody O'Dell, Ali Agha, Raymund Woo, Laura Varich.   

Abstract

STUDY
DESIGN: Retrospective consecutive cohort series.
OBJECTIVE: The aim of this study was to develop a low-dose computed tomography (CT) protocol for use in robot-assisted pediatric spinal surgery. SUMMARY OF BACKGROUND DATA: CT scans are utilized preoperatively for preoperative planning, by navigation software during robot-assisted surgery, and postoperatively to assess surgical implant placement. Traditionally high radiation doses produced by CT scanning are a concern in the highly radiosensitive pediatric population.
METHODS: We developed a low-dose protocol using phantom scans. A cohort of patients undergoing CT scanning using the low-dose protocol was collected. Further, a matching cohort of patients who underwent standard scanning was collected. Image quality was assessed by observer ratings. Radiation doses and image quality metrics were compared for the standard and low-dose protocol patients.
RESULTS: Effective dose significantly decreased 84% to 91% depending on patient size and whether the scan was preoperative or postoperative. All scans were compatible with the navigation software. No clinically significant differences in image quality were observed between low-dose and standard patient cohorts.
CONCLUSIONS: Task-based CT protocol optimization can produce acceptable image quality with dose comparable to standard two-view radiography. LEVEL OF EVIDENCE: 2.

Entities:  

Mesh:

Year:  2017        PMID: 27513224     DOI: 10.1097/BRS.0000000000001846

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  9 in total

1.  CORR Insights®: Does Three-dimensional Printing Plus Pedicle Guider Technology in Severe Congenital Scoliosis Facilitate Accurate and Efficient Pedicle Screw Placement?

Authors:  George H Thompson
Journal:  Clin Orthop Relat Res       Date:  2019-08       Impact factor: 4.176

2.  Impact of robot-assisted spine surgery on health care quality and neurosurgical economics: A systemic review.

Authors:  Brian Fiani; Syed A Quadri; Mudassir Farooqui; Alessandra Cathel; Blake Berman; Jerry Noel; Javed Siddiqi
Journal:  Neurosurg Rev       Date:  2018-04-03       Impact factor: 3.042

Review 3.  Robotics in spine surgery: systematic review of literature.

Authors:  Ignacio Barrio Lopez; Ahmed Benzakour; Andreas Mavrogenis; Thami Benzakour; Alaaeldin Ahmad; Jean-Michel Lemée
Journal:  Int Orthop       Date:  2022-07-18       Impact factor: 3.479

4.  Automatic Segmentation of Bone Selective MR Images for Visualization and Craniometry of the Cranial Vault.

Authors:  Carrie E Zimmerman; Pulkit Khandelwal; Long Xie; Hyunyeol Lee; Hee Kwon Song; Paul A Yushkevich; Arastoo Vossough; Scott P Bartlett; Felix W Wehrli
Journal:  Acad Radiol       Date:  2021-04-24       Impact factor: 3.173

5.  Application of Spinal Robotic Navigation Technology to Minimally Invasive Percutaneous Treatment of Spinal Fractures: A Clinical, Non-Randomized, Controlled Study.

Authors:  Bin Shi; Tianyu Jiang; Hailong Du; Wei Zhang; Lei Hu; Lihai Zhang
Journal:  Orthop Surg       Date:  2021-05-04       Impact factor: 2.071

6.  A Cost-Effectiveness Analysis of the Integration of Robotic Spine Technology in Spine Surgery.

Authors:  Richard Philip Menger; Amey R Savardekar; Frank Farokhi; Anthony Sin
Journal:  Neurospine       Date:  2018-08-29

7.  Accuracy of Pedicle Screw Placement Methods in Pediatrics and Adolescents Spinal Surgery: A Systematic Review and Meta-Analysis.

Authors:  Brigita De Vega; Aida Ribera Navarro; Alexander Gibson; Deepak M Kalaskar
Journal:  Global Spine J       Date:  2021-03-18

8.  Artificial Intelligence and Robotics in Spine Surgery.

Authors:  Jonathan J Rasouli; Jianning Shao; Sean Neifert; Wende N Gibbs; Ghaith Habboub; Michael P Steinmetz; Edward Benzel; Thomas E Mroz
Journal:  Global Spine J       Date:  2020-04-01

Review 9.  Robot-Assisted Image-Guided Interventions.

Authors:  Michael Unger; Johann Berger; Andreas Melzer
Journal:  Front Robot AI       Date:  2021-07-12
  9 in total

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