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Background <p>Prenatal diagnosis of esophageal atresia remains challenging, with indirect signs such as polyhydramnios, a small or&#xa0;absent stomach bubble, and a dilated upper esophageal pouch often inconsistently present. Only 10-40% of EA cases are diagnosed&#xa0;prenatally. Fetal MRI can overcome ultrasound limitations; however, constraints like motion can hinder evaluation of the esophagus.</p> Methods <p>Super-resolution imaging with slice-to-volume reconstruction (SVR) is one approach that can improve image quality. This&#xa0;technique generates high-resolution 3D images from standard fetal MRI slices to enhance diagnostic accuracy.</p> Aim <p>We present the application of super-resolution imaging with SVR to accurately diagnose EA and assess the presence or&#xa0;absence tracheoesophageal fistulas.</p> Conclusion <p>This technique demonstrates significant potential for accurately delineating the relevant surgical anatomy, which can&#xa0;improve surgical planning.</p>

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Enhanced fetal MRI diagnosis of esophageal atresia using super-resolution slice-to-volume reconstruction

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月19日

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  • Delaney Loken,
  • Luis F. Goncalves,
  • Mittun Patel,
  • Nicholas Rubert

摘要

Background

Prenatal diagnosis of esophageal atresia remains challenging, with indirect signs such as polyhydramnios, a small or absent stomach bubble, and a dilated upper esophageal pouch often inconsistently present. Only 10-40% of EA cases are diagnosed prenatally. Fetal MRI can overcome ultrasound limitations; however, constraints like motion can hinder evaluation of the esophagus.

Methods

Super-resolution imaging with slice-to-volume reconstruction (SVR) is one approach that can improve image quality. This technique generates high-resolution 3D images from standard fetal MRI slices to enhance diagnostic accuracy.

Aim

We present the application of super-resolution imaging with SVR to accurately diagnose EA and assess the presence or absence tracheoesophageal fistulas.

Conclusion

This technique demonstrates significant potential for accurately delineating the relevant surgical anatomy, which can improve surgical planning.