Implementing automated 3D measurements to quantify reference values and side-to-side differences in the ankle syndesmosis
Detection of syndesmotic ankle instability remains challenging in clinical practice due to the limitations of two-dimensional (2D) measurements. The transition to automated three-dimensional (3D) measurement techniques is on the verge of a breakthrough but normative and side-to-side comparative data...
Gespeichert in:
Hauptverfasser: | , , , , , , , , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Peiffer, Matthias Van den Borre, Ide Segers, Tanguy Ashkani-Esfahani, Soheil Guss, Daniel De Cesar Netto, Cesar DiGiovanni, Christopher W Victor, Jan Audenaert, Emmanuel Burssens, Arne |
description | Detection of syndesmotic ankle instability remains challenging in clinical practice due to the limitations of two-dimensional (2D) measurements. The transition to automated three-dimensional (3D) measurement techniques is on the verge of a breakthrough but normative and side-to-side comparative data are missing. Therefore, our study aim was two-fold: (1) to establish 3D anatomical reference values of the ankle syndesmosis based on automated measurements and (2) to determine to what extent the ankle syndesmosis is symmetric across all 3D measurements. Patients without syndesmotic pathology with a non-weight-bearing CT scan (NWBCT; N = 38; Age = 51.6 * 17.43 years) and weight-bearing CT scan (WBCT; N = 43; Age = 48.9 * 14.3 years) were retrospectively included. After training and validation of a neural network to automate the segmentation of 3D ankle models, an iterative closest point registration was performed to superimpose the left on the right ankle. Subsequently, 3D measurements were manually and automatically computed using a custom-made algorithm and side-to-side comparison of these landmarks allowed one to investigate symmetry. Intra-observer analysis showed excellent agreements for all manual measurements (ICC range 0.85-0.99) and good (i.e. < 2.7 degrees for the angles and < 0.5 mm for the distances) accuracy was found between the automated and manual measurements. A mean Dice coefficient of 0.99 was found for the automated segmentation framework. The established mean, standard deviation and range were provided for each 3D measurement. From these data, reference values were derived to differ physiological from pathological syndesmotic alignment. Furthermore, side-to-side symmetry was revealed when comparing left to right measurements (P > 0.05). In clinical practice, our novel algorithm could surmount the current limitations of manual 2D measurements and distinguish patients with a syndesmotic ankle lesion from normal variance. |
format | Article |
fullrecord | <record><control><sourceid>ghent</sourceid><recordid>TN_cdi_ghent_librecat_oai_archive_ugent_be_01HQWTSYDSJBZ2XFRWPN1TWFKR</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>oai_archive_ugent_be_01HQWTSYDSJBZ2XFRWPN1TWFKR</sourcerecordid><originalsourceid>FETCH-ghent_librecat_oai_archive_ugent_be_01HQWTSYDSJBZ2XFRWPN1TWFKR3</originalsourceid><addsrcrecordid>eNqtjdFKwzAYhYMoOHTv8L9AoU23i93qVqaC6Fao203Imr9tNEk1fzLo29uNXfgAnptz4Hycc8UmPJ3NE55zfv0n37Ip0Wc6as4Xs2wxYcOT_TZo0QXtWpAx9FYGVJAvwaKk6M8dQejhJ8qRagbw2KBHVyMcpYlIIJ0C0gqT0CcnB6WbC0KgHYQOR-bLINDgFJLtSdM9u2mkIZxe_I6tilX5uE7abnwURh881jKIXmohfd3pI4rYnqoDijRbv1fldrfcPj_s-Uexqd5es7IqXjb5f-38AqTAahc</addsrcrecordid><sourcetype>Institutional Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Implementing automated 3D measurements to quantify reference values and side-to-side differences in the ankle syndesmosis</title><source>Nature Open Access</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Ghent University Academic Bibliography</source><source>PubMed Central</source><source>Springer Nature OA/Free Journals</source><source>Free Full-Text Journals in Chemistry</source><creator>Peiffer, Matthias ; Van den Borre, Ide ; Segers, Tanguy ; Ashkani-Esfahani, Soheil ; Guss, Daniel ; De Cesar Netto, Cesar ; DiGiovanni, Christopher W ; Victor, Jan ; Audenaert, Emmanuel ; Burssens, Arne</creator><creatorcontrib>Peiffer, Matthias ; Van den Borre, Ide ; Segers, Tanguy ; Ashkani-Esfahani, Soheil ; Guss, Daniel ; De Cesar Netto, Cesar ; DiGiovanni, Christopher W ; Victor, Jan ; Audenaert, Emmanuel ; Burssens, Arne</creatorcontrib><description>Detection of syndesmotic ankle instability remains challenging in clinical practice due to the limitations of two-dimensional (2D) measurements. The transition to automated three-dimensional (3D) measurement techniques is on the verge of a breakthrough but normative and side-to-side comparative data are missing. Therefore, our study aim was two-fold: (1) to establish 3D anatomical reference values of the ankle syndesmosis based on automated measurements and (2) to determine to what extent the ankle syndesmosis is symmetric across all 3D measurements. Patients without syndesmotic pathology with a non-weight-bearing CT scan (NWBCT; N = 38; Age = 51.6 * 17.43 years) and weight-bearing CT scan (WBCT; N = 43; Age = 48.9 * 14.3 years) were retrospectively included. After training and validation of a neural network to automate the segmentation of 3D ankle models, an iterative closest point registration was performed to superimpose the left on the right ankle. Subsequently, 3D measurements were manually and automatically computed using a custom-made algorithm and side-to-side comparison of these landmarks allowed one to investigate symmetry. Intra-observer analysis showed excellent agreements for all manual measurements (ICC range 0.85-0.99) and good (i.e. < 2.7 degrees for the angles and < 0.5 mm for the distances) accuracy was found between the automated and manual measurements. A mean Dice coefficient of 0.99 was found for the automated segmentation framework. The established mean, standard deviation and range were provided for each 3D measurement. From these data, reference values were derived to differ physiological from pathological syndesmotic alignment. Furthermore, side-to-side symmetry was revealed when comparing left to right measurements (P > 0.05). In clinical practice, our novel algorithm could surmount the current limitations of manual 2D measurements and distinguish patients with a syndesmotic ankle lesion from normal variance.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><language>eng</language><publisher>Springer Science and Business Media LLC</publisher><subject>Medicine and Health Sciences ; Multidisciplinary</subject><creationdate>2023</creationdate><rights>Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,315,780,784,4022,27859</link.rule.ids></links><search><creatorcontrib>Peiffer, Matthias</creatorcontrib><creatorcontrib>Van den Borre, Ide</creatorcontrib><creatorcontrib>Segers, Tanguy</creatorcontrib><creatorcontrib>Ashkani-Esfahani, Soheil</creatorcontrib><creatorcontrib>Guss, Daniel</creatorcontrib><creatorcontrib>De Cesar Netto, Cesar</creatorcontrib><creatorcontrib>DiGiovanni, Christopher W</creatorcontrib><creatorcontrib>Victor, Jan</creatorcontrib><creatorcontrib>Audenaert, Emmanuel</creatorcontrib><creatorcontrib>Burssens, Arne</creatorcontrib><title>Implementing automated 3D measurements to quantify reference values and side-to-side differences in the ankle syndesmosis</title><description>Detection of syndesmotic ankle instability remains challenging in clinical practice due to the limitations of two-dimensional (2D) measurements. The transition to automated three-dimensional (3D) measurement techniques is on the verge of a breakthrough but normative and side-to-side comparative data are missing. Therefore, our study aim was two-fold: (1) to establish 3D anatomical reference values of the ankle syndesmosis based on automated measurements and (2) to determine to what extent the ankle syndesmosis is symmetric across all 3D measurements. Patients without syndesmotic pathology with a non-weight-bearing CT scan (NWBCT; N = 38; Age = 51.6 * 17.43 years) and weight-bearing CT scan (WBCT; N = 43; Age = 48.9 * 14.3 years) were retrospectively included. After training and validation of a neural network to automate the segmentation of 3D ankle models, an iterative closest point registration was performed to superimpose the left on the right ankle. Subsequently, 3D measurements were manually and automatically computed using a custom-made algorithm and side-to-side comparison of these landmarks allowed one to investigate symmetry. Intra-observer analysis showed excellent agreements for all manual measurements (ICC range 0.85-0.99) and good (i.e. < 2.7 degrees for the angles and < 0.5 mm for the distances) accuracy was found between the automated and manual measurements. A mean Dice coefficient of 0.99 was found for the automated segmentation framework. The established mean, standard deviation and range were provided for each 3D measurement. From these data, reference values were derived to differ physiological from pathological syndesmotic alignment. Furthermore, side-to-side symmetry was revealed when comparing left to right measurements (P > 0.05). In clinical practice, our novel algorithm could surmount the current limitations of manual 2D measurements and distinguish patients with a syndesmotic ankle lesion from normal variance.</description><subject>Medicine and Health Sciences</subject><subject>Multidisciplinary</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ADGLB</sourceid><recordid>eNqtjdFKwzAYhYMoOHTv8L9AoU23i93qVqaC6Fao203Imr9tNEk1fzLo29uNXfgAnptz4Hycc8UmPJ3NE55zfv0n37Ip0Wc6as4Xs2wxYcOT_TZo0QXtWpAx9FYGVJAvwaKk6M8dQejhJ8qRagbw2KBHVyMcpYlIIJ0C0gqT0CcnB6WbC0KgHYQOR-bLINDgFJLtSdM9u2mkIZxe_I6tilX5uE7abnwURh881jKIXmohfd3pI4rYnqoDijRbv1fldrfcPj_s-Uexqd5es7IqXjb5f-38AqTAahc</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Peiffer, Matthias</creator><creator>Van den Borre, Ide</creator><creator>Segers, Tanguy</creator><creator>Ashkani-Esfahani, Soheil</creator><creator>Guss, Daniel</creator><creator>De Cesar Netto, Cesar</creator><creator>DiGiovanni, Christopher W</creator><creator>Victor, Jan</creator><creator>Audenaert, Emmanuel</creator><creator>Burssens, Arne</creator><general>Springer Science and Business Media LLC</general><scope>ADGLB</scope></search><sort><creationdate>2023</creationdate><title>Implementing automated 3D measurements to quantify reference values and side-to-side differences in the ankle syndesmosis</title><author>Peiffer, Matthias ; Van den Borre, Ide ; Segers, Tanguy ; Ashkani-Esfahani, Soheil ; Guss, Daniel ; De Cesar Netto, Cesar ; DiGiovanni, Christopher W ; Victor, Jan ; Audenaert, Emmanuel ; Burssens, Arne</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ghent_librecat_oai_archive_ugent_be_01HQWTSYDSJBZ2XFRWPN1TWFKR3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Medicine and Health Sciences</topic><topic>Multidisciplinary</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peiffer, Matthias</creatorcontrib><creatorcontrib>Van den Borre, Ide</creatorcontrib><creatorcontrib>Segers, Tanguy</creatorcontrib><creatorcontrib>Ashkani-Esfahani, Soheil</creatorcontrib><creatorcontrib>Guss, Daniel</creatorcontrib><creatorcontrib>De Cesar Netto, Cesar</creatorcontrib><creatorcontrib>DiGiovanni, Christopher W</creatorcontrib><creatorcontrib>Victor, Jan</creatorcontrib><creatorcontrib>Audenaert, Emmanuel</creatorcontrib><creatorcontrib>Burssens, Arne</creatorcontrib><collection>Ghent University Academic Bibliography</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peiffer, Matthias</au><au>Van den Borre, Ide</au><au>Segers, Tanguy</au><au>Ashkani-Esfahani, Soheil</au><au>Guss, Daniel</au><au>De Cesar Netto, Cesar</au><au>DiGiovanni, Christopher W</au><au>Victor, Jan</au><au>Audenaert, Emmanuel</au><au>Burssens, Arne</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Implementing automated 3D measurements to quantify reference values and side-to-side differences in the ankle syndesmosis</atitle><date>2023</date><risdate>2023</risdate><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Detection of syndesmotic ankle instability remains challenging in clinical practice due to the limitations of two-dimensional (2D) measurements. The transition to automated three-dimensional (3D) measurement techniques is on the verge of a breakthrough but normative and side-to-side comparative data are missing. Therefore, our study aim was two-fold: (1) to establish 3D anatomical reference values of the ankle syndesmosis based on automated measurements and (2) to determine to what extent the ankle syndesmosis is symmetric across all 3D measurements. Patients without syndesmotic pathology with a non-weight-bearing CT scan (NWBCT; N = 38; Age = 51.6 * 17.43 years) and weight-bearing CT scan (WBCT; N = 43; Age = 48.9 * 14.3 years) were retrospectively included. After training and validation of a neural network to automate the segmentation of 3D ankle models, an iterative closest point registration was performed to superimpose the left on the right ankle. Subsequently, 3D measurements were manually and automatically computed using a custom-made algorithm and side-to-side comparison of these landmarks allowed one to investigate symmetry. Intra-observer analysis showed excellent agreements for all manual measurements (ICC range 0.85-0.99) and good (i.e. < 2.7 degrees for the angles and < 0.5 mm for the distances) accuracy was found between the automated and manual measurements. A mean Dice coefficient of 0.99 was found for the automated segmentation framework. The established mean, standard deviation and range were provided for each 3D measurement. From these data, reference values were derived to differ physiological from pathological syndesmotic alignment. Furthermore, side-to-side symmetry was revealed when comparing left to right measurements (P > 0.05). In clinical practice, our novel algorithm could surmount the current limitations of manual 2D measurements and distinguish patients with a syndesmotic ankle lesion from normal variance.</abstract><pub>Springer Science and Business Media LLC</pub><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2045-2322 |
ispartof | |
issn | 2045-2322 2045-2322 |
language | eng |
recordid | cdi_ghent_librecat_oai_archive_ugent_be_01HQWTSYDSJBZ2XFRWPN1TWFKR |
source | Nature Open Access; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Ghent University Academic Bibliography; PubMed Central; Springer Nature OA/Free Journals; Free Full-Text Journals in Chemistry |
subjects | Medicine and Health Sciences Multidisciplinary |
title | Implementing automated 3D measurements to quantify reference values and side-to-side differences in the ankle syndesmosis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T03%3A57%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ghent&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Implementing%20automated%203D%20measurements%20to%20quantify%20reference%20values%20and%20side-to-side%20differences%20in%20the%20ankle%20syndesmosis&rft.au=Peiffer,%20Matthias&rft.date=2023&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/&rft_dat=%3Cghent%3Eoai_archive_ugent_be_01HQWTSYDSJBZ2XFRWPN1TWFKR%3C/ghent%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |