Literature DB >> 27592216

Automated Measurement of the Angle of Progression in Labor: A Feasibility and Reliability Study.

Aly Youssef1, Ginevra Salsi, Elisa Montaguti, Federica Bellussi, Giuseppina Pacella, Carlotta Azzarone, Antonio Farina, Nicola Rizzo, Gianluigi Pilu.   

Abstract

OBJECTIVES: The aim of this paper was to assess the feasibility and reliability of a new automated method for the measurement of the angle of progression (AoP) in labor.
METHODS: AoP was assessed using two-dimensional transperineal ultrasound by two operators in 52 women in active labor to evaluate intra- and interobserver reproducibility. The intermethod agreement between automated and manual techniques was analyzed by means of the intraclass correlation coefficient and Bland-Altman method.
RESULTS: Automated measurements were feasible in all cases. Automated assessments correctly depicted the pubic symphysis and fetal head in 133 (85.3%) out of 156 on first assessments and in all 156 after repeating measurements once in case of incorrect first evaluation. The automated technique showed good intra- and interobserver reproducibility and very good agreement with the manual technique. AoP measured by the automated method were significantly wider than those done by the manual technique (119 ± 20° vs. 130 ± 20°, p = 0.005).
CONCLUSIONS: Automated assessment AoP is feasible and reproducible. However, measurements performed by the automated software are significantly different from those resulting from the previously published manual technique. In the light of our data, the automated technique does not seem ready yet for clinical use, and the AoP should be exclusively measured by the previously suggested manual technique.
© 2016 S. Karger AG, Basel.

Entities:  

Keywords:  Angle of progression; Automated measurement; Delivery; Intrapartum ultrasound; Labor; Three-dimensional sonography; Transperineal ultrasound; Ultrasound

Mesh:

Year:  2016        PMID: 27592216     DOI: 10.1159/000448947

Source DB:  PubMed          Journal:  Fetal Diagn Ther        ISSN: 1015-3837            Impact factor:   2.587


  3 in total

1.  The JNU-IFM dataset for segmenting pubic symphysis-fetal head.

Authors:  Yaosheng Lu; Mengqiang Zhou; Dengjiang Zhi; Minghong Zhou; Xiaosong Jiang; Ruiyu Qiu; Zhanhong Ou; Huijin Wang; Di Qiu; Mei Zhong; Xiaoxing Lu; Gaowen Chen; Jieyun Bai
Journal:  Data Brief       Date:  2022-02-02

2.  Multitask Deep Neural Network for the Fully Automatic Measurement of the Angle of Progression.

Authors:  Yaosheng Lu; Dengjiang Zhi; Minghong Zhou; Fan Lai; Gaowen Chen; Zhanhong Ou; Rongdan Zeng; Shun Long; Ruiyu Qiu; Mengqiang Zhou; Xiaosong Jiang; Huijin Wang; Jieyun Bai
Journal:  Comput Math Methods Med       Date:  2022-09-02       Impact factor: 2.809

Review 3.  Three-dimensional/four-dimensional transperineal ultrasound: clinical utility and future prospects.

Authors:  Ginevra Salsi; Ilaria Cataneo; Gaia Dodaro; Nicola Rizzo; Gianluigi Pilu; Mar Sanz Gascón; Aly Youssef
Journal:  Int J Womens Health       Date:  2017-09-12
  3 in total

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