Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorAlves, Allan Felipe Fattori [UNESP]-
Autor(es): dc.creatorArruda Miranda, Jose Ricardo de [UNESP]-
Autor(es): dc.creatorSouza, Sergio Augusto Santana de [UNESP]-
Autor(es): dc.creatorPereira, Ricardo Violante [UNESP]-
Autor(es): dc.creatorAlmeida Silvares, Paulo Roberto de [UNESP]-
Autor(es): dc.creatorYamashita, Seizo [UNESP]-
Autor(es): dc.creatorDeffune, Elenice [UNESP]-
Autor(es): dc.creatorPina, Diana Rodrigues de [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T01:07:26Z-
Data de disponibilização: dc.date.available2022-02-22T01:07:26Z-
Data de envio: dc.date.issued2021-06-26-
Data de envio: dc.date.issued2021-06-26-
Data de envio: dc.date.issued2021-04-28-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1186/s13018-021-02437-y-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/210773-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/210773-
Descrição: dc.descriptionBackground 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.-
Descrição: dc.descriptioncomputed tomography service in Botucatu Medical School National Council for Scientific and Technological Development-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionSao Paulo State Univ Julio de Mesquita Filho, Med Sch, Av Prof Mario Rubens Guimaraes Montenegro S-N, BR-18618687 Botucatu, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ Julio de Mesquita Filho, Inst Biosci, R Prof Dr Antonio Celso Wagner Zanin 250, BR-18618687 Botucatu, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ Julio de Mesquita Filho, Med Sch, Av Prof Mario Rubens Guimaraes Montenegro S-N, BR-18618687 Botucatu, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ Julio de Mesquita Filho, Inst Biosci, R Prof Dr Antonio Celso Wagner Zanin 250, BR-18618687 Botucatu, SP, Brazil-
Descrição: dc.descriptioncomputed tomography service in Botucatu Medical School National Council for Scientific and Technological Development: PQ/CNPq 303509/2019-8-
Descrição: dc.descriptionFAPESP: FAPESP 2020/05539-9-
Formato: dc.format8-
Idioma: dc.languageen-
Publicador: dc.publisherBmc-
Relação: dc.relationJournal Of Orthopaedic Surgery And Research-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectKnee joint-
Palavras-chave: dc.subjectClassification-
Palavras-chave: dc.subjectMagnetic resonance imaging-
Palavras-chave: dc.subjectTexture analysis-
Palavras-chave: dc.subjectMachine learning-
Palavras-chave: dc.subjectPlatelet-rich plasma-
Título: dc.titleTexture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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