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Nominal logistic regression analysis of variables determining needle visibility in ultrasound images – a full factorial cadaver study
BACKGROUND: Needle visualization is essential to avoid vascular puncture and nerve injury in ultrasound-guided regional anesthesia. Several factors that statistically influence needle visibility have been described but the dimensions of their individual impact remain unclear. This study aimed to qua...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636954/ https://www.ncbi.nlm.nih.gov/pubmed/37950214 http://dx.doi.org/10.1186/s12871-023-02339-y |
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author | Dinges, Hanns-Christian Hoeft, Julia Cornelius, Valér Michael Steinfeldt, Thorsten Wiesmann, Thomas Wulf, Hinnerk Schubert, Ann-Kristin |
author_facet | Dinges, Hanns-Christian Hoeft, Julia Cornelius, Valér Michael Steinfeldt, Thorsten Wiesmann, Thomas Wulf, Hinnerk Schubert, Ann-Kristin |
author_sort | Dinges, Hanns-Christian |
collection | PubMed |
description | BACKGROUND: Needle visualization is essential to avoid vascular puncture and nerve injury in ultrasound-guided regional anesthesia. Several factors that statistically influence needle visibility have been described but the dimensions of their individual impact remain unclear. This study aimed to quantify the impact of various independent factors on ultrasound needle visibility. METHODS: A total of 1500 ultrasound videos of in-plane needle insertions were obtained in embalmed cadavers with ten different commercially available echogenic and non-echogenic needles at different insertion angles and bevel orientations in a full factorial study design. The visibility of needle tip and shaft were rated as “good” or “poor” visibility. Nominal logistic regression analyses were calculated for the visibility of the needle tip and shaft. RESULTS: SonoPlex Stim Sprotte, SonoTAP Facet (needle tip and shaft) and Spinostar PencilPoint (needle tip)), insertion angle and bevel orientation were associated with good ultrasound visibility, reaching statistical significance (p < 0.05). The range of the effect on the log-odds scale for needle tip visibility was largest for the insertion angle with 6.33, followed by the tissue condition (3.76), bevel orientation (1.45) and the needle types (1.25). Regarding the needle shaft visibility, the largest effect range was observed with the insertion angle (7.36), followed by the tissue conditions with 3.96, needle type (1.86) and bevel orientation (0.95). CONCLUSION: In-plane needle visibility in ultrasound images depends mainly on the insertion angle, as expected. This is closely followed by the tissue condition, which is a factor related to the patient, thus cannot be altered to improve needle visibility. In the dimensions of the log-odds scale, the choice of a specific needle is far less important towards achieving a good visualization, whereas optimizing the bevel orientation can have a larger impact than the needle choice. Concluding from the relative dimensions of factors that determine needle visibility in this model, the importance of needles with echogenic features may be overrated. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12871-023-02339-y. |
format | Online Article Text |
id | pubmed-10636954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106369542023-11-11 Nominal logistic regression analysis of variables determining needle visibility in ultrasound images – a full factorial cadaver study Dinges, Hanns-Christian Hoeft, Julia Cornelius, Valér Michael Steinfeldt, Thorsten Wiesmann, Thomas Wulf, Hinnerk Schubert, Ann-Kristin BMC Anesthesiol Research BACKGROUND: Needle visualization is essential to avoid vascular puncture and nerve injury in ultrasound-guided regional anesthesia. Several factors that statistically influence needle visibility have been described but the dimensions of their individual impact remain unclear. This study aimed to quantify the impact of various independent factors on ultrasound needle visibility. METHODS: A total of 1500 ultrasound videos of in-plane needle insertions were obtained in embalmed cadavers with ten different commercially available echogenic and non-echogenic needles at different insertion angles and bevel orientations in a full factorial study design. The visibility of needle tip and shaft were rated as “good” or “poor” visibility. Nominal logistic regression analyses were calculated for the visibility of the needle tip and shaft. RESULTS: SonoPlex Stim Sprotte, SonoTAP Facet (needle tip and shaft) and Spinostar PencilPoint (needle tip)), insertion angle and bevel orientation were associated with good ultrasound visibility, reaching statistical significance (p < 0.05). The range of the effect on the log-odds scale for needle tip visibility was largest for the insertion angle with 6.33, followed by the tissue condition (3.76), bevel orientation (1.45) and the needle types (1.25). Regarding the needle shaft visibility, the largest effect range was observed with the insertion angle (7.36), followed by the tissue conditions with 3.96, needle type (1.86) and bevel orientation (0.95). CONCLUSION: In-plane needle visibility in ultrasound images depends mainly on the insertion angle, as expected. This is closely followed by the tissue condition, which is a factor related to the patient, thus cannot be altered to improve needle visibility. In the dimensions of the log-odds scale, the choice of a specific needle is far less important towards achieving a good visualization, whereas optimizing the bevel orientation can have a larger impact than the needle choice. Concluding from the relative dimensions of factors that determine needle visibility in this model, the importance of needles with echogenic features may be overrated. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12871-023-02339-y. BioMed Central 2023-11-10 /pmc/articles/PMC10636954/ /pubmed/37950214 http://dx.doi.org/10.1186/s12871-023-02339-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Dinges, Hanns-Christian Hoeft, Julia Cornelius, Valér Michael Steinfeldt, Thorsten Wiesmann, Thomas Wulf, Hinnerk Schubert, Ann-Kristin Nominal logistic regression analysis of variables determining needle visibility in ultrasound images – a full factorial cadaver study |
title | Nominal logistic regression analysis of variables determining needle visibility in ultrasound images – a full factorial cadaver study |
title_full | Nominal logistic regression analysis of variables determining needle visibility in ultrasound images – a full factorial cadaver study |
title_fullStr | Nominal logistic regression analysis of variables determining needle visibility in ultrasound images – a full factorial cadaver study |
title_full_unstemmed | Nominal logistic regression analysis of variables determining needle visibility in ultrasound images – a full factorial cadaver study |
title_short | Nominal logistic regression analysis of variables determining needle visibility in ultrasound images – a full factorial cadaver study |
title_sort | nominal logistic regression analysis of variables determining needle visibility in ultrasound images – a full factorial cadaver study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636954/ https://www.ncbi.nlm.nih.gov/pubmed/37950214 http://dx.doi.org/10.1186/s12871-023-02339-y |
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