Baños, N;
Perez-Moreno, A;
Migliorelli, F;
Triginer, L;
Cobo, T;
Bonet-Carne, E;
Gratacos, E;
(2017)
Quantitative Analysis of the Cervical Texture by Ultrasound and Correlation with Gestational Age.
Fetal Diagnosis and Therapy
, 41
(4)
pp. 265-272.
10.1159/000448475.
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Abstract
Objectives: Quantitative texture analysis has been proposed to extract robust features from the ultrasound image to detect subtle changes in the textures of the images. The aim of this study was to evaluate the feasibility of quantitative cervical texture analysis to assess cervical tissue changes throughout pregnancy. Methods: This was a cross-sectional study including singleton pregnancies between 20.0 and 41.6 weeks of gestation from women who delivered at term. Cervical length was measured, and a selected region of interest in the cervix was delineated. A model to predict gestational age based on features extracted from cervical images was developed following three steps: data splitting, feature transformation, and regression model computation. Results: Seven hundred images, 30 per gestational week, were included for analysis. There was a strong correlation between the gestational age at which the images were obtained and the estimated gestational age by quantitative analysis of the cervical texture (R = 0.88). Discussion: This study provides evidence that quantitative analysis of cervical texture can extract features from cervical ultrasound images which correlate with gestational age. Further research is needed to evaluate its applicability as a biomarker of the risk of spontaneous preterm birth, as well as its role in cervical assessment in other clinical situations in which cervical evaluation might be relevant.
| Type: | Article |
|---|---|
| Title: | Quantitative Analysis of the Cervical Texture by Ultrasound and Correlation with Gestational Age |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1159/000448475 |
| Publisher version: | http://dx.doi.org/10.1159/000448475 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Quantitative ultrasound, Uterine cervix, Image biomarker |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10042867 |
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