No Cover Image

Journal article 1172 views 128 downloads

Investigation of Shape with Patients Suffering from Unilateral Lymphoedema

Kevork Karakashian, Lawrence Shaban, Cheryl Pike, Raoul van Loon Orcid Logo

Annals of Biomedical Engineering, Volume: 46, Pages: 108 - 121

Swansea University Author: Raoul van Loon Orcid Logo

  • karakashian2017.pdf

    PDF | Version of Record

    Distributed under the terms of a Creative Commons Attribution (CC-BY) Licence.

    Download (2.39MB)

Check full text

DOI (Published version): 10.1007/s10439-017-1929-y

Abstract

This study investigates the use of a 3D depth sensing camera for analysing the shape of lymphoedematous arms, and seeks to identify suitable metrics for monitoring lymphoedema clinically. A fast, simple protocol was developed for scanning upper limb lymphoedema, after which a robust data pre- and po...

Full description

Published in: Annals of Biomedical Engineering
ISSN: 0090-6964 1573-9686
Published: 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa35293
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2017-09-15T13:02:10Z
last_indexed 2021-01-08T03:55:30Z
id cronfa35293
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2021-01-07T13:53:13.8149479</datestamp><bib-version>v2</bib-version><id>35293</id><entry>2017-09-15</entry><title>Investigation of Shape with Patients Suffering from Unilateral Lymphoedema</title><swanseaauthors><author><sid>880b30f90841a022f1e5bac32fb12193</sid><ORCID>0000-0003-3581-5827</ORCID><firstname>Raoul</firstname><surname>van Loon</surname><name>Raoul van Loon</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2017-09-15</date><deptcode>MEDE</deptcode><abstract>This study investigates the use of a 3D depth sensing camera for analysing the shape of lymphoedematous arms, and seeks to identify suitable metrics for monitoring lymphoedema clinically. A fast, simple protocol was developed for scanning upper limb lymphoedema, after which a robust data pre- and post-processing framework was built that consistently and quickly identifies arm shape and volume. The framework was then tested on 24 patients with mild unilateral lymphoedema, who were also assessed using tape measurements. The scanning protocol developed led to scanning times of about 20&#x2013;30 s. Shape related metrics such as circumference and circularity were used to distinguish between affected and healthy arms (p &#x2264; 0.05). Swelling maps were also derived to identify the distribution of oedema on arms. Topology and shape could be used to monitor or even diagnose lymphoedema using the provided framework. Such metrics provide more detailed information to a lymphoedema specialist than solely volume. Although tested on a small cohort, these results show promise for further research into better diagnostics of lymphoedema and for future adoption of the proposed methods across lymphoedema clinics.</abstract><type>Journal Article</type><journal>Annals of Biomedical Engineering</journal><volume>46</volume><journalNumber/><paginationStart>108</paginationStart><paginationEnd>121</paginationEnd><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0090-6964</issnPrint><issnElectronic>1573-9686</issnElectronic><keywords>Edema, 3D camera, Swelling, Geometric analysis, Topology, Limb volume</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-12-31</publishedDate><doi>10.1007/s10439-017-1929-y</doi><url/><notes/><college>COLLEGE NANME</college><department>Biomedical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDE</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-01-07T13:53:13.8149479</lastEdited><Created>2017-09-15T12:21:47.4585216</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Biomedical Engineering</level></path><authors><author><firstname>Kevork</firstname><surname>Karakashian</surname><order>1</order></author><author><firstname>Lawrence</firstname><surname>Shaban</surname><order>2</order></author><author><firstname>Cheryl</firstname><surname>Pike</surname><order>3</order></author><author><firstname>Raoul</firstname><surname>van Loon</surname><orcid>0000-0003-3581-5827</orcid><order>4</order></author></authors><documents><document><filename>0035293-02102017155148.pdf</filename><originalFilename>karakashian2017.pdf</originalFilename><uploaded>2017-10-02T15:51:48.7700000</uploaded><type>Output</type><contentLength>2518908</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2017-10-02T00:00:00.0000000</embargoDate><documentNotes>Distributed under the terms of a Creative Commons Attribution (CC-BY) Licence.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2021-01-07T13:53:13.8149479 v2 35293 2017-09-15 Investigation of Shape with Patients Suffering from Unilateral Lymphoedema 880b30f90841a022f1e5bac32fb12193 0000-0003-3581-5827 Raoul van Loon Raoul van Loon true false 2017-09-15 MEDE This study investigates the use of a 3D depth sensing camera for analysing the shape of lymphoedematous arms, and seeks to identify suitable metrics for monitoring lymphoedema clinically. A fast, simple protocol was developed for scanning upper limb lymphoedema, after which a robust data pre- and post-processing framework was built that consistently and quickly identifies arm shape and volume. The framework was then tested on 24 patients with mild unilateral lymphoedema, who were also assessed using tape measurements. The scanning protocol developed led to scanning times of about 20–30 s. Shape related metrics such as circumference and circularity were used to distinguish between affected and healthy arms (p ≤ 0.05). Swelling maps were also derived to identify the distribution of oedema on arms. Topology and shape could be used to monitor or even diagnose lymphoedema using the provided framework. Such metrics provide more detailed information to a lymphoedema specialist than solely volume. Although tested on a small cohort, these results show promise for further research into better diagnostics of lymphoedema and for future adoption of the proposed methods across lymphoedema clinics. Journal Article Annals of Biomedical Engineering 46 108 121 0090-6964 1573-9686 Edema, 3D camera, Swelling, Geometric analysis, Topology, Limb volume 31 12 2018 2018-12-31 10.1007/s10439-017-1929-y COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University 2021-01-07T13:53:13.8149479 2017-09-15T12:21:47.4585216 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Kevork Karakashian 1 Lawrence Shaban 2 Cheryl Pike 3 Raoul van Loon 0000-0003-3581-5827 4 0035293-02102017155148.pdf karakashian2017.pdf 2017-10-02T15:51:48.7700000 Output 2518908 application/pdf Version of Record true 2017-10-02T00:00:00.0000000 Distributed under the terms of a Creative Commons Attribution (CC-BY) Licence. true eng https://creativecommons.org/licenses/by/4.0/
title Investigation of Shape with Patients Suffering from Unilateral Lymphoedema
spellingShingle Investigation of Shape with Patients Suffering from Unilateral Lymphoedema
Raoul van Loon
title_short Investigation of Shape with Patients Suffering from Unilateral Lymphoedema
title_full Investigation of Shape with Patients Suffering from Unilateral Lymphoedema
title_fullStr Investigation of Shape with Patients Suffering from Unilateral Lymphoedema
title_full_unstemmed Investigation of Shape with Patients Suffering from Unilateral Lymphoedema
title_sort Investigation of Shape with Patients Suffering from Unilateral Lymphoedema
author_id_str_mv 880b30f90841a022f1e5bac32fb12193
author_id_fullname_str_mv 880b30f90841a022f1e5bac32fb12193_***_Raoul van Loon
author Raoul van Loon
author2 Kevork Karakashian
Lawrence Shaban
Cheryl Pike
Raoul van Loon
format Journal article
container_title Annals of Biomedical Engineering
container_volume 46
container_start_page 108
publishDate 2018
institution Swansea University
issn 0090-6964
1573-9686
doi_str_mv 10.1007/s10439-017-1929-y
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Biomedical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Biomedical Engineering
document_store_str 1
active_str 0
description This study investigates the use of a 3D depth sensing camera for analysing the shape of lymphoedematous arms, and seeks to identify suitable metrics for monitoring lymphoedema clinically. A fast, simple protocol was developed for scanning upper limb lymphoedema, after which a robust data pre- and post-processing framework was built that consistently and quickly identifies arm shape and volume. The framework was then tested on 24 patients with mild unilateral lymphoedema, who were also assessed using tape measurements. The scanning protocol developed led to scanning times of about 20–30 s. Shape related metrics such as circumference and circularity were used to distinguish between affected and healthy arms (p ≤ 0.05). Swelling maps were also derived to identify the distribution of oedema on arms. Topology and shape could be used to monitor or even diagnose lymphoedema using the provided framework. Such metrics provide more detailed information to a lymphoedema specialist than solely volume. Although tested on a small cohort, these results show promise for further research into better diagnostics of lymphoedema and for future adoption of the proposed methods across lymphoedema clinics.
published_date 2018-12-31T03:43:52Z
_version_ 1763752052452753408
score 10.997593

Similar Items