Magnetic resonance imaging and previous cesarean section in placenta accrete spectrum disorder: Predictor model

Detalhes bibliográficos
Autor(a) principal: Polizio, Rodrigo Pamplona
Data de Publicação: 2022
Outros Autores: Yamauchi, Fernando Ide, Mendes, Renata Franco Pimentel, Peres, Stela Verzinhasse, Kondo, Mario Macoto, Francisco, Rossana Pulcineli Vieira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Clinics
Texto Completo: https://www.revistas.usp.br/clinics/article/view/213297
Resumo: Objective: To evaluate objective criteria of Magnetic Resonance Imaging (MRI) of Placenta Accreta Spectrum disorder (PAS) analyzing interobserver agreement and to derive a model including imaging and clinical variables to predict PAS. Methods: A retrospective review including patients submitted to MRI with suspicious findings of PAS on ultrasound. Exclusion criteria were lack of pathology or surgical information and missing or poor-quality MRI. Two radiologists analyzed six MRI features, and significant clinical data were also recorded. PAS confirmed on pathology or during intraoperative findings were considered positive for the primary outcome. Variables were tested through logistic regression models. Results: Final study included 96 patients with a mean age of 33 years and 73.0% of previous C-sections. All MRI features were significantly associated with PAS for both readers. After logistic regression fit, including MRI signs with a moderate or higher interobserver agreement, intraplacental T2 dark band was the most significant radiologic criteria, and ROC analysis resulted in an AUC = 0.782. After including the most relevant clinical data (previous C-section) to the model, the ROC analysis improved to an AUC = 0.893. Conclusion: Simplified objective criteria on MRI, including intraplacental T2 dark band associated with clinical information of previous C-sections, had the highest accuracy and was used for a predictive model of PAS.
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spelling Magnetic resonance imaging and previous cesarean section in placenta accrete spectrum disorder: Predictor modelPlacenta accretePlacenta previaCesarean sectionMagnetic resonance imagingObjective: To evaluate objective criteria of Magnetic Resonance Imaging (MRI) of Placenta Accreta Spectrum disorder (PAS) analyzing interobserver agreement and to derive a model including imaging and clinical variables to predict PAS. Methods: A retrospective review including patients submitted to MRI with suspicious findings of PAS on ultrasound. Exclusion criteria were lack of pathology or surgical information and missing or poor-quality MRI. Two radiologists analyzed six MRI features, and significant clinical data were also recorded. PAS confirmed on pathology or during intraoperative findings were considered positive for the primary outcome. Variables were tested through logistic regression models. Results: Final study included 96 patients with a mean age of 33 years and 73.0% of previous C-sections. All MRI features were significantly associated with PAS for both readers. After logistic regression fit, including MRI signs with a moderate or higher interobserver agreement, intraplacental T2 dark band was the most significant radiologic criteria, and ROC analysis resulted in an AUC = 0.782. After including the most relevant clinical data (previous C-section) to the model, the ROC analysis improved to an AUC = 0.893. Conclusion: Simplified objective criteria on MRI, including intraplacental T2 dark band associated with clinical information of previous C-sections, had the highest accuracy and was used for a predictive model of PAS.Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2022-03-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/21329710.1016/j.clinsp.2022.100027Clinics; Vol. 77 (2022); 100027Clinics; v. 77 (2022); 100027Clinics; Vol. 77 (2022); 1000271980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/213297/195251Copyright (c) 2023 Clinicsinfo:eu-repo/semantics/openAccessPolizio, Rodrigo PamplonaYamauchi, Fernando IdeMendes, Renata Franco PimentelPeres, Stela VerzinhasseKondo, Mario MacotoFrancisco, Rossana Pulcineli Vieira2023-07-06T13:04:56Zoai:revistas.usp.br:article/213297Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2023-07-06T13:04:56Clinics - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Magnetic resonance imaging and previous cesarean section in placenta accrete spectrum disorder: Predictor model
title Magnetic resonance imaging and previous cesarean section in placenta accrete spectrum disorder: Predictor model
spellingShingle Magnetic resonance imaging and previous cesarean section in placenta accrete spectrum disorder: Predictor model
Polizio, Rodrigo Pamplona
Placenta accrete
Placenta previa
Cesarean section
Magnetic resonance imaging
title_short Magnetic resonance imaging and previous cesarean section in placenta accrete spectrum disorder: Predictor model
title_full Magnetic resonance imaging and previous cesarean section in placenta accrete spectrum disorder: Predictor model
title_fullStr Magnetic resonance imaging and previous cesarean section in placenta accrete spectrum disorder: Predictor model
title_full_unstemmed Magnetic resonance imaging and previous cesarean section in placenta accrete spectrum disorder: Predictor model
title_sort Magnetic resonance imaging and previous cesarean section in placenta accrete spectrum disorder: Predictor model
author Polizio, Rodrigo Pamplona
author_facet Polizio, Rodrigo Pamplona
Yamauchi, Fernando Ide
Mendes, Renata Franco Pimentel
Peres, Stela Verzinhasse
Kondo, Mario Macoto
Francisco, Rossana Pulcineli Vieira
author_role author
author2 Yamauchi, Fernando Ide
Mendes, Renata Franco Pimentel
Peres, Stela Verzinhasse
Kondo, Mario Macoto
Francisco, Rossana Pulcineli Vieira
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Polizio, Rodrigo Pamplona
Yamauchi, Fernando Ide
Mendes, Renata Franco Pimentel
Peres, Stela Verzinhasse
Kondo, Mario Macoto
Francisco, Rossana Pulcineli Vieira
dc.subject.por.fl_str_mv Placenta accrete
Placenta previa
Cesarean section
Magnetic resonance imaging
topic Placenta accrete
Placenta previa
Cesarean section
Magnetic resonance imaging
description Objective: To evaluate objective criteria of Magnetic Resonance Imaging (MRI) of Placenta Accreta Spectrum disorder (PAS) analyzing interobserver agreement and to derive a model including imaging and clinical variables to predict PAS. Methods: A retrospective review including patients submitted to MRI with suspicious findings of PAS on ultrasound. Exclusion criteria were lack of pathology or surgical information and missing or poor-quality MRI. Two radiologists analyzed six MRI features, and significant clinical data were also recorded. PAS confirmed on pathology or during intraoperative findings were considered positive for the primary outcome. Variables were tested through logistic regression models. Results: Final study included 96 patients with a mean age of 33 years and 73.0% of previous C-sections. All MRI features were significantly associated with PAS for both readers. After logistic regression fit, including MRI signs with a moderate or higher interobserver agreement, intraplacental T2 dark band was the most significant radiologic criteria, and ROC analysis resulted in an AUC = 0.782. After including the most relevant clinical data (previous C-section) to the model, the ROC analysis improved to an AUC = 0.893. Conclusion: Simplified objective criteria on MRI, including intraplacental T2 dark band associated with clinical information of previous C-sections, had the highest accuracy and was used for a predictive model of PAS.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-29
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/clinics/article/view/213297
10.1016/j.clinsp.2022.100027
url https://www.revistas.usp.br/clinics/article/view/213297
identifier_str_mv 10.1016/j.clinsp.2022.100027
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/clinics/article/view/213297/195251
dc.rights.driver.fl_str_mv Copyright (c) 2023 Clinics
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Clinics
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
dc.source.none.fl_str_mv Clinics; Vol. 77 (2022); 100027
Clinics; v. 77 (2022); 100027
Clinics; Vol. 77 (2022); 100027
1980-5322
1807-5932
reponame:Clinics
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Clinics
collection Clinics
repository.name.fl_str_mv Clinics - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||clinics@hc.fm.usp.br
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