Toward New Assessment of Knee Cartilage Degeneration
Funding Information: The authors would like to thank the project RESTORE for their contribution to this study, Marco Ghiselli and Kristján Örn Jóhannesson from the National University Hospital of Iceland for the medical image acquisition, Vicenzo Cangiano for his help in medical image segmentation....
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ftopinvisindi:oai:opinvisindi.is:20.500.11815/4422 2023-11-12T04:19:33+01:00 Toward New Assessment of Knee Cartilage Degeneration Aubonnet, Romain Ramos, Jorgelina Recenti, Marco Jacob, Deborah Ciliberti, Federica Guerrini, Lorena Gislason, Magnus K. Sigurjonsson, Olafur Tsirilaki, Mariella Jónsson, Halldór Gargiulo, Paolo Department of Engineering Clinical Laboratory Services, Diagnostics and Blood Bank Faculty of Medicine Surgical Services Other departments 2022-12-21 24 2442348 351-374 https://hdl.handle.net/20.500.11815/4422 https://doi.org/10.1177/19476035221144746 en eng Cartilage; 14(3) http://www.scopus.com/inward/record.url?scp=85144547588&partnerID=8YFLogxK Aubonnet , R , Ramos , J , Recenti , M , Jacob , D , Ciliberti , F , Guerrini , L , Gislason , M K , Sigurjonsson , O , Tsirilaki , M , Jónsson , H & Gargiulo , P 2022 , ' Toward New Assessment of Knee Cartilage Degeneration ' , Cartilage , vol. 14 , no. 3 , pp. 351-374 . https://doi.org/10.1177/19476035221144746 1947-6035 76384184 a9889181-08e6-43a7-ac62-01937166a6cc 85144547588 36541701 unpaywall: 10.1177/19476035221144746 https://hdl.handle.net/20.500.11815/4422 doi:10.1177/19476035221144746 info:eu-repo/semantics/openAccess Myndgreining (læknisfræði) Bæklunarskurðlæknisfræði Verkfræðingar 3D models classification image segmentation knee cartilage osteoarthritis Medicine (all) /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article 2022 ftopinvisindi https://doi.org/20.500.11815/442210.1177/19476035221144746 2023-11-01T23:55:29Z Funding Information: The authors would like to thank the project RESTORE for their contribution to this study, Marco Ghiselli and Kristján Örn Jóhannesson from the National University Hospital of Iceland for the medical image acquisition, Vicenzo Cangiano for his help in medical image segmentation. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study is part of the European project RESTORE ( https://restoreproject.eu/ ), funded by the European Union’s Horizon 2020 research and innovation program (grant agreement ID: 814558). This work has also been funded by Landspitalin Science fund (grant number: 960221). Publisher Copyright: © The Author(s) 2022. Publisher Copyright: © The Author(s) 2022. Objective: Assessment of human joint cartilage is a crucial tool to detect and diagnose pathological conditions. This exploratory study developed a workflow for 3D modeling of cartilage and bone based on multimodal imaging. New evaluation metrics were created and, a unique set of data was gathered from healthy controls and patients with clinically evaluated degeneration or trauma. Design: We present a novel methodology to evaluate knee bone and cartilage based on features extracted from magnetic resonance imaging (MRI) and computed tomography (CT) data. We developed patient specific 3D models of the tibial, femoral, and patellar bones and cartilages. Forty-seven subjects with a history of degenerative disease, traumatic events, or no symptoms or trauma (control group) were recruited in this study. Ninety-six different measurements were extracted from each knee, 78 2D and 18 3D measurements. We compare the sensitivity of different metrics to classify the cartilage condition and evaluate degeneration. Results: Selected features extracted show significant difference between the 3 groups. We created a cumulative index of bone properties that demonstrated the importance of bone condition to assess cartilage quality, obtaining the greatest ... Article in Journal/Newspaper Iceland Opin vísindi (Iceland) Örn ENVELOPE(-23.267,-23.267,64.883,64.883) CARTILAGE 14 3 351 374 |
institution |
Open Polar |
collection |
Opin vísindi (Iceland) |
op_collection_id |
ftopinvisindi |
language |
English |
topic |
Myndgreining (læknisfræði) Bæklunarskurðlæknisfræði Verkfræðingar 3D models classification image segmentation knee cartilage osteoarthritis Medicine (all) |
spellingShingle |
Myndgreining (læknisfræði) Bæklunarskurðlæknisfræði Verkfræðingar 3D models classification image segmentation knee cartilage osteoarthritis Medicine (all) Aubonnet, Romain Ramos, Jorgelina Recenti, Marco Jacob, Deborah Ciliberti, Federica Guerrini, Lorena Gislason, Magnus K. Sigurjonsson, Olafur Tsirilaki, Mariella Jónsson, Halldór Gargiulo, Paolo Toward New Assessment of Knee Cartilage Degeneration |
topic_facet |
Myndgreining (læknisfræði) Bæklunarskurðlæknisfræði Verkfræðingar 3D models classification image segmentation knee cartilage osteoarthritis Medicine (all) |
description |
Funding Information: The authors would like to thank the project RESTORE for their contribution to this study, Marco Ghiselli and Kristján Örn Jóhannesson from the National University Hospital of Iceland for the medical image acquisition, Vicenzo Cangiano for his help in medical image segmentation. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study is part of the European project RESTORE ( https://restoreproject.eu/ ), funded by the European Union’s Horizon 2020 research and innovation program (grant agreement ID: 814558). This work has also been funded by Landspitalin Science fund (grant number: 960221). Publisher Copyright: © The Author(s) 2022. Publisher Copyright: © The Author(s) 2022. Objective: Assessment of human joint cartilage is a crucial tool to detect and diagnose pathological conditions. This exploratory study developed a workflow for 3D modeling of cartilage and bone based on multimodal imaging. New evaluation metrics were created and, a unique set of data was gathered from healthy controls and patients with clinically evaluated degeneration or trauma. Design: We present a novel methodology to evaluate knee bone and cartilage based on features extracted from magnetic resonance imaging (MRI) and computed tomography (CT) data. We developed patient specific 3D models of the tibial, femoral, and patellar bones and cartilages. Forty-seven subjects with a history of degenerative disease, traumatic events, or no symptoms or trauma (control group) were recruited in this study. Ninety-six different measurements were extracted from each knee, 78 2D and 18 3D measurements. We compare the sensitivity of different metrics to classify the cartilage condition and evaluate degeneration. Results: Selected features extracted show significant difference between the 3 groups. We created a cumulative index of bone properties that demonstrated the importance of bone condition to assess cartilage quality, obtaining the greatest ... |
author2 |
Department of Engineering Clinical Laboratory Services, Diagnostics and Blood Bank Faculty of Medicine Surgical Services Other departments |
format |
Article in Journal/Newspaper |
author |
Aubonnet, Romain Ramos, Jorgelina Recenti, Marco Jacob, Deborah Ciliberti, Federica Guerrini, Lorena Gislason, Magnus K. Sigurjonsson, Olafur Tsirilaki, Mariella Jónsson, Halldór Gargiulo, Paolo |
author_facet |
Aubonnet, Romain Ramos, Jorgelina Recenti, Marco Jacob, Deborah Ciliberti, Federica Guerrini, Lorena Gislason, Magnus K. Sigurjonsson, Olafur Tsirilaki, Mariella Jónsson, Halldór Gargiulo, Paolo |
author_sort |
Aubonnet, Romain |
title |
Toward New Assessment of Knee Cartilage Degeneration |
title_short |
Toward New Assessment of Knee Cartilage Degeneration |
title_full |
Toward New Assessment of Knee Cartilage Degeneration |
title_fullStr |
Toward New Assessment of Knee Cartilage Degeneration |
title_full_unstemmed |
Toward New Assessment of Knee Cartilage Degeneration |
title_sort |
toward new assessment of knee cartilage degeneration |
publishDate |
2022 |
url |
https://hdl.handle.net/20.500.11815/4422 https://doi.org/10.1177/19476035221144746 |
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ENVELOPE(-23.267,-23.267,64.883,64.883) |
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Örn |
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Örn |
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Iceland |
genre_facet |
Iceland |
op_relation |
Cartilage; 14(3) http://www.scopus.com/inward/record.url?scp=85144547588&partnerID=8YFLogxK Aubonnet , R , Ramos , J , Recenti , M , Jacob , D , Ciliberti , F , Guerrini , L , Gislason , M K , Sigurjonsson , O , Tsirilaki , M , Jónsson , H & Gargiulo , P 2022 , ' Toward New Assessment of Knee Cartilage Degeneration ' , Cartilage , vol. 14 , no. 3 , pp. 351-374 . https://doi.org/10.1177/19476035221144746 1947-6035 76384184 a9889181-08e6-43a7-ac62-01937166a6cc 85144547588 36541701 unpaywall: 10.1177/19476035221144746 https://hdl.handle.net/20.500.11815/4422 doi:10.1177/19476035221144746 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/20.500.11815/442210.1177/19476035221144746 |
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