Mid-trimester prediction of spontaneous preterm birth with automated cervical quantitative ultrasound texture analysis and cervical length: a prospective study

Abstract The objective of this study was to evaluate a novel automated test based on ultrasound cervical texture analysis to predict spontaneous Preterm Birth (sPTB) alone and in combination with Cervical Length (CL). General population singleton pregnancies between 18 + 0 and 24 + 6 weeks’ gestatio...

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Autores principales:	Xavier P. Burgos-Artizzu, Nuria Baños, David Coronado-Gutiérrez, Julia Ponce, Brenda Valenzuela-Alcaraz, Ana L. Moreno-Espinosa, Laia Grau, Álvaro Perez-Moreno, Eduard Gratacós, Montse Palacio
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/12e2e65dacbf43b8a963d1ec65dd2c84
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spelling	oai:doaj.org-article:12e2e65dacbf43b8a963d1ec65dd2c842021-12-02T18:17:42ZMid-trimester prediction of spontaneous preterm birth with automated cervical quantitative ultrasound texture analysis and cervical length: a prospective study10.1038/s41598-021-86906-82045-2322https://doaj.org/article/12e2e65dacbf43b8a963d1ec65dd2c842021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86906-8https://doaj.org/toc/2045-2322Abstract The objective of this study was to evaluate a novel automated test based on ultrasound cervical texture analysis to predict spontaneous Preterm Birth (sPTB) alone and in combination with Cervical Length (CL). General population singleton pregnancies between 18 + 0 and 24 + 6 weeks’ gestation were assessed prospectively at two centers. Cervical ultrasound images were evaluated and the occurrence of sPTB before weeks 37 + 0 and 34 + 0 were recorded. CL was measured on-site. The automated texture analysis test was applied offline to all images. Their performance to predict the occurrence of sPTB before 37 + 0 and 34 + 0 weeks was evaluated separately and in combination on 633 recruited patients. AUC for sPTB prediction before weeks 37 and 34 respectively were as follows: 55.5% and 65.3% for CL, 63.4% and 66.3% for texture analysis, 67.5% and 76.7% when combined. The new test improved detection rates of CL at similar low FPR. Combining the two increased detection rate compared to CL alone from 13.0 to 30.4% for sPTB < 37 and from 14.3 to 42.9% sPTB < 34. Texture analysis of cervical ultrasound improved sPTB detection rate compared to cervical length for similar FPR, and the two combined together increased significantly prediction performance. This results should be confirmed in larger cohorts.Xavier P. Burgos-ArtizzuNuria BañosDavid Coronado-GutiérrezJulia PonceBrenda Valenzuela-AlcarazAna L. Moreno-EspinosaLaia GrauÁlvaro Perez-MorenoEduard GratacósMontse PalacioNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xavier P. Burgos-Artizzu Nuria Baños David Coronado-Gutiérrez Julia Ponce Brenda Valenzuela-Alcaraz Ana L. Moreno-Espinosa Laia Grau Álvaro Perez-Moreno Eduard Gratacós Montse Palacio Mid-trimester prediction of spontaneous preterm birth with automated cervical quantitative ultrasound texture analysis and cervical length: a prospective study
description	Abstract The objective of this study was to evaluate a novel automated test based on ultrasound cervical texture analysis to predict spontaneous Preterm Birth (sPTB) alone and in combination with Cervical Length (CL). General population singleton pregnancies between 18 + 0 and 24 + 6 weeks’ gestation were assessed prospectively at two centers. Cervical ultrasound images were evaluated and the occurrence of sPTB before weeks 37 + 0 and 34 + 0 were recorded. CL was measured on-site. The automated texture analysis test was applied offline to all images. Their performance to predict the occurrence of sPTB before 37 + 0 and 34 + 0 weeks was evaluated separately and in combination on 633 recruited patients. AUC for sPTB prediction before weeks 37 and 34 respectively were as follows: 55.5% and 65.3% for CL, 63.4% and 66.3% for texture analysis, 67.5% and 76.7% when combined. The new test improved detection rates of CL at similar low FPR. Combining the two increased detection rate compared to CL alone from 13.0 to 30.4% for sPTB < 37 and from 14.3 to 42.9% sPTB < 34. Texture analysis of cervical ultrasound improved sPTB detection rate compared to cervical length for similar FPR, and the two combined together increased significantly prediction performance. This results should be confirmed in larger cohorts.
format	article
author	Xavier P. Burgos-Artizzu Nuria Baños David Coronado-Gutiérrez Julia Ponce Brenda Valenzuela-Alcaraz Ana L. Moreno-Espinosa Laia Grau Álvaro Perez-Moreno Eduard Gratacós Montse Palacio
author_facet	Xavier P. Burgos-Artizzu Nuria Baños David Coronado-Gutiérrez Julia Ponce Brenda Valenzuela-Alcaraz Ana L. Moreno-Espinosa Laia Grau Álvaro Perez-Moreno Eduard Gratacós Montse Palacio
author_sort	Xavier P. Burgos-Artizzu
title	Mid-trimester prediction of spontaneous preterm birth with automated cervical quantitative ultrasound texture analysis and cervical length: a prospective study
title_short	Mid-trimester prediction of spontaneous preterm birth with automated cervical quantitative ultrasound texture analysis and cervical length: a prospective study
title_full	Mid-trimester prediction of spontaneous preterm birth with automated cervical quantitative ultrasound texture analysis and cervical length: a prospective study
title_fullStr	Mid-trimester prediction of spontaneous preterm birth with automated cervical quantitative ultrasound texture analysis and cervical length: a prospective study
title_full_unstemmed	Mid-trimester prediction of spontaneous preterm birth with automated cervical quantitative ultrasound texture analysis and cervical length: a prospective study
title_sort	mid-trimester prediction of spontaneous preterm birth with automated cervical quantitative ultrasound texture analysis and cervical length: a prospective study
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/12e2e65dacbf43b8a963d1ec65dd2c84
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Mid-trimester prediction of spontaneous preterm birth with automated cervical quantitative ultrasound texture analysis and cervical length: a prospective study

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