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A novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification

BACKGROUND: Neuraxial procedures are commonly performed for therapeutic and diagnostic indications. Currently, they are typically performed via palpation-guided surface landmark. We devised a novel intelligent image processing system that identifies spinal landmarks using ultrasound images. Our prim...

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Autores principales: Oh, Ting Ting, Ikhsan, Mohammad, Tan, Kok Kiong, Rehena, Sultana, Han, Nian-Lin Reena, Sia, Alex Tiong Heng, Sng, Ban Leong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469214/
https://www.ncbi.nlm.nih.gov/pubmed/30991949
http://dx.doi.org/10.1186/s12871-019-0726-6
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author Oh, Ting Ting
Ikhsan, Mohammad
Tan, Kok Kiong
Rehena, Sultana
Han, Nian-Lin Reena
Sia, Alex Tiong Heng
Sng, Ban Leong
author_facet Oh, Ting Ting
Ikhsan, Mohammad
Tan, Kok Kiong
Rehena, Sultana
Han, Nian-Lin Reena
Sia, Alex Tiong Heng
Sng, Ban Leong
author_sort Oh, Ting Ting
collection PubMed
description BACKGROUND: Neuraxial procedures are commonly performed for therapeutic and diagnostic indications. Currently, they are typically performed via palpation-guided surface landmark. We devised a novel intelligent image processing system that identifies spinal landmarks using ultrasound images. Our primary aim was to evaluate the first attempt success rate of spinal anesthesia using landmarks obtained from the automated spinal landmark identification technique. METHODS: In this prospective cohort study, we recruited 100 patients who required spinal anesthesia for surgical procedures. The video from ultrasound scan image of the L3/4 interspinous space in the longitudinal view and the posterior complex in the transverse view were recorded. The demographic and clinical characteristics were collected and analyzed based on the success rates of the spinal insertion. RESULTS: Success rate (95%CI) for dural puncture at first attempt was 92.0% (85.0–95.9%). Median time to detection of posterior complex was 45.0 [IQR: 21.9, 77.3] secs. There is good correlation observed between the program-recorded depth and the clinician-measured depth to the posterior complex (r = 0.94). CONCLUSIONS: The high success rate and short time taken to obtain the surface landmark with this novel automated ultrasound guided technique could be useful to clinicians to utilise ultrasound guided neuraxial techniques with confidence to identify the anatomical landmarks on the ultrasound scans. Future research would be to define the use in more complex patients during the administration of neuraxial blocks. TRIAL REGISTRATION: This study was retrospectively registered on clinicaltrials.gov registry (NCT03535155) on 24 May 2018.
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spelling pubmed-64692142019-04-24 A novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification Oh, Ting Ting Ikhsan, Mohammad Tan, Kok Kiong Rehena, Sultana Han, Nian-Lin Reena Sia, Alex Tiong Heng Sng, Ban Leong BMC Anesthesiol Research Article BACKGROUND: Neuraxial procedures are commonly performed for therapeutic and diagnostic indications. Currently, they are typically performed via palpation-guided surface landmark. We devised a novel intelligent image processing system that identifies spinal landmarks using ultrasound images. Our primary aim was to evaluate the first attempt success rate of spinal anesthesia using landmarks obtained from the automated spinal landmark identification technique. METHODS: In this prospective cohort study, we recruited 100 patients who required spinal anesthesia for surgical procedures. The video from ultrasound scan image of the L3/4 interspinous space in the longitudinal view and the posterior complex in the transverse view were recorded. The demographic and clinical characteristics were collected and analyzed based on the success rates of the spinal insertion. RESULTS: Success rate (95%CI) for dural puncture at first attempt was 92.0% (85.0–95.9%). Median time to detection of posterior complex was 45.0 [IQR: 21.9, 77.3] secs. There is good correlation observed between the program-recorded depth and the clinician-measured depth to the posterior complex (r = 0.94). CONCLUSIONS: The high success rate and short time taken to obtain the surface landmark with this novel automated ultrasound guided technique could be useful to clinicians to utilise ultrasound guided neuraxial techniques with confidence to identify the anatomical landmarks on the ultrasound scans. Future research would be to define the use in more complex patients during the administration of neuraxial blocks. TRIAL REGISTRATION: This study was retrospectively registered on clinicaltrials.gov registry (NCT03535155) on 24 May 2018. BioMed Central 2019-04-16 /pmc/articles/PMC6469214/ /pubmed/30991949 http://dx.doi.org/10.1186/s12871-019-0726-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Oh, Ting Ting
Ikhsan, Mohammad
Tan, Kok Kiong
Rehena, Sultana
Han, Nian-Lin Reena
Sia, Alex Tiong Heng
Sng, Ban Leong
A novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification
title A novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification
title_full A novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification
title_fullStr A novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification
title_full_unstemmed A novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification
title_short A novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification
title_sort novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469214/
https://www.ncbi.nlm.nih.gov/pubmed/30991949
http://dx.doi.org/10.1186/s12871-019-0726-6
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