Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1186/s13018-021-02437-y http://hdl.handle.net/11449/210773 |
Resumo: | Background Platelet-rich plasma (PRP) has been used to favor anterior cruciate ligament (ACL) healing after reconstruction surgeries. However, clinical data are still inconclusive and subjective about PRP. Thus, we propose a quantitative method to demonstrate that PRP produced morphological structure changes. Methods Thirty-four patients undergoing ACL reconstruction surgery were evaluated and divided into control group (sixteen patients) without PRP application and experiment group (eighteen patients) with intraoperative application of PRP. Magnetic resonance imaging (MRI) scans were performed 3 months after surgery. We used Matlab (R) and machine learning (ML) in Orange Canvas (R) to texture analysis (TA) features extraction. Experienced radiologists delimited the regions of interest (RoIs) in the T2-weighted images. Sixty-two texture parameters were extracted, including gray-level co-occurrence matrix and gray level run length. We used the algorithms logistic regression (LR), naive Bayes (NB), and stochastic gradient descent (SGD). Results The accuracy of the classification with NB, LR, and SGD was 83.3%, 75%, 75%, respectively. For the area under the curve, NB, LR, and SGD presented values of 91.7%, 94.4%, 75%, respectively. In clinical evaluations, the groups show similar responses in terms of improvement in pain and increase in the IKDC index (International Knee Documentation Committee) and Lysholm score indices differing only in the assessment of flexion, which presents a significant difference for the group treated with PRP. Conclusions Here, we demonstrated quantitatively that patients who received PRP presented texture changes when compared to the control group. Thus, our findings suggest that PRP interferes with morphological parameters of the ACL. |
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Repositório Institucional da UNESP |
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Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasmaKnee jointClassificationMagnetic resonance imagingTexture analysisMachine learningPlatelet-rich plasmaBackground Platelet-rich plasma (PRP) has been used to favor anterior cruciate ligament (ACL) healing after reconstruction surgeries. However, clinical data are still inconclusive and subjective about PRP. Thus, we propose a quantitative method to demonstrate that PRP produced morphological structure changes. Methods Thirty-four patients undergoing ACL reconstruction surgery were evaluated and divided into control group (sixteen patients) without PRP application and experiment group (eighteen patients) with intraoperative application of PRP. Magnetic resonance imaging (MRI) scans were performed 3 months after surgery. We used Matlab (R) and machine learning (ML) in Orange Canvas (R) to texture analysis (TA) features extraction. Experienced radiologists delimited the regions of interest (RoIs) in the T2-weighted images. Sixty-two texture parameters were extracted, including gray-level co-occurrence matrix and gray level run length. We used the algorithms logistic regression (LR), naive Bayes (NB), and stochastic gradient descent (SGD). Results The accuracy of the classification with NB, LR, and SGD was 83.3%, 75%, 75%, respectively. For the area under the curve, NB, LR, and SGD presented values of 91.7%, 94.4%, 75%, respectively. In clinical evaluations, the groups show similar responses in terms of improvement in pain and increase in the IKDC index (International Knee Documentation Committee) and Lysholm score indices differing only in the assessment of flexion, which presents a significant difference for the group treated with PRP. Conclusions Here, we demonstrated quantitatively that patients who received PRP presented texture changes when compared to the control group. Thus, our findings suggest that PRP interferes with morphological parameters of the ACL.computed tomography service in Botucatu Medical School National Council for Scientific and Technological DevelopmentFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ Julio de Mesquita Filho, Med Sch, Av Prof Mario Rubens Guimaraes Montenegro S-N, BR-18618687 Botucatu, SP, BrazilSao Paulo State Univ Julio de Mesquita Filho, Inst Biosci, R Prof Dr Antonio Celso Wagner Zanin 250, BR-18618687 Botucatu, SP, BrazilSao Paulo State Univ Julio de Mesquita Filho, Med Sch, Av Prof Mario Rubens Guimaraes Montenegro S-N, BR-18618687 Botucatu, SP, BrazilSao Paulo State Univ Julio de Mesquita Filho, Inst Biosci, R Prof Dr Antonio Celso Wagner Zanin 250, BR-18618687 Botucatu, SP, Brazilcomputed tomography service in Botucatu Medical School National Council for Scientific and Technological Development: PQ/CNPq 303509/2019-8FAPESP: FAPESP 2020/05539-9BmcUniversidade Estadual Paulista (Unesp)Alves, Allan Felipe Fattori [UNESP]Arruda Miranda, Jose Ricardo de [UNESP]Souza, Sergio Augusto Santana de [UNESP]Pereira, Ricardo Violante [UNESP]Almeida Silvares, Paulo Roberto de [UNESP]Yamashita, Seizo [UNESP]Deffune, Elenice [UNESP]Pina, Diana Rodrigues de [UNESP]2021-06-26T06:17:39Z2021-06-26T06:17:39Z2021-04-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8http://dx.doi.org/10.1186/s13018-021-02437-yJournal Of Orthopaedic Surgery And Research. London: Bmc, v. 16, n. 1, 8 p., 2021.1749-799Xhttp://hdl.handle.net/11449/21077310.1186/s13018-021-02437-yWOS:000645234300001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Orthopaedic Surgery And Researchinfo:eu-repo/semantics/openAccess2021-10-23T22:14:10Zoai:repositorio.unesp.br:11449/210773Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T22:14:10Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma |
title |
Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma |
spellingShingle |
Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma Alves, Allan Felipe Fattori [UNESP] Knee joint Classification Magnetic resonance imaging Texture analysis Machine learning Platelet-rich plasma |
title_short |
Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma |
title_full |
Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma |
title_fullStr |
Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma |
title_full_unstemmed |
Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma |
title_sort |
Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma |
author |
Alves, Allan Felipe Fattori [UNESP] |
author_facet |
Alves, Allan Felipe Fattori [UNESP] Arruda Miranda, Jose Ricardo de [UNESP] Souza, Sergio Augusto Santana de [UNESP] Pereira, Ricardo Violante [UNESP] Almeida Silvares, Paulo Roberto de [UNESP] Yamashita, Seizo [UNESP] Deffune, Elenice [UNESP] Pina, Diana Rodrigues de [UNESP] |
author_role |
author |
author2 |
Arruda Miranda, Jose Ricardo de [UNESP] Souza, Sergio Augusto Santana de [UNESP] Pereira, Ricardo Violante [UNESP] Almeida Silvares, Paulo Roberto de [UNESP] Yamashita, Seizo [UNESP] Deffune, Elenice [UNESP] Pina, Diana Rodrigues de [UNESP] |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Alves, Allan Felipe Fattori [UNESP] Arruda Miranda, Jose Ricardo de [UNESP] Souza, Sergio Augusto Santana de [UNESP] Pereira, Ricardo Violante [UNESP] Almeida Silvares, Paulo Roberto de [UNESP] Yamashita, Seizo [UNESP] Deffune, Elenice [UNESP] Pina, Diana Rodrigues de [UNESP] |
dc.subject.por.fl_str_mv |
Knee joint Classification Magnetic resonance imaging Texture analysis Machine learning Platelet-rich plasma |
topic |
Knee joint Classification Magnetic resonance imaging Texture analysis Machine learning Platelet-rich plasma |
description |
Background Platelet-rich plasma (PRP) has been used to favor anterior cruciate ligament (ACL) healing after reconstruction surgeries. However, clinical data are still inconclusive and subjective about PRP. Thus, we propose a quantitative method to demonstrate that PRP produced morphological structure changes. Methods Thirty-four patients undergoing ACL reconstruction surgery were evaluated and divided into control group (sixteen patients) without PRP application and experiment group (eighteen patients) with intraoperative application of PRP. Magnetic resonance imaging (MRI) scans were performed 3 months after surgery. We used Matlab (R) and machine learning (ML) in Orange Canvas (R) to texture analysis (TA) features extraction. Experienced radiologists delimited the regions of interest (RoIs) in the T2-weighted images. Sixty-two texture parameters were extracted, including gray-level co-occurrence matrix and gray level run length. We used the algorithms logistic regression (LR), naive Bayes (NB), and stochastic gradient descent (SGD). Results The accuracy of the classification with NB, LR, and SGD was 83.3%, 75%, 75%, respectively. For the area under the curve, NB, LR, and SGD presented values of 91.7%, 94.4%, 75%, respectively. In clinical evaluations, the groups show similar responses in terms of improvement in pain and increase in the IKDC index (International Knee Documentation Committee) and Lysholm score indices differing only in the assessment of flexion, which presents a significant difference for the group treated with PRP. Conclusions Here, we demonstrated quantitatively that patients who received PRP presented texture changes when compared to the control group. Thus, our findings suggest that PRP interferes with morphological parameters of the ACL. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-26T06:17:39Z 2021-06-26T06:17:39Z 2021-04-28 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1186/s13018-021-02437-y Journal Of Orthopaedic Surgery And Research. London: Bmc, v. 16, n. 1, 8 p., 2021. 1749-799X http://hdl.handle.net/11449/210773 10.1186/s13018-021-02437-y WOS:000645234300001 |
url |
http://dx.doi.org/10.1186/s13018-021-02437-y http://hdl.handle.net/11449/210773 |
identifier_str_mv |
Journal Of Orthopaedic Surgery And Research. London: Bmc, v. 16, n. 1, 8 p., 2021. 1749-799X 10.1186/s13018-021-02437-y WOS:000645234300001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal Of Orthopaedic Surgery And Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
8 |
dc.publisher.none.fl_str_mv |
Bmc |
publisher.none.fl_str_mv |
Bmc |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799964644386799616 |