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BioengineeringBioengineering
  • Article
  • Open Access

3 March 2024

Profile of a Multivariate Observation under Destructive Sampling—A Monte Carlo Approach to a Case of Spina Bifida

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1
College of Public Health, Kent State University, Kent, OH 44242, USA
2
Division of Biostatistics and Bioinformatics, University of Cincinnati, Cincinnati, OH 45221, USA
3
The Center for Fetal and Placental Research, Pediatric General and Thoracic Surgery Division, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
4
Orthopedic Surgery, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
This article belongs to the Section Biomedical Engineering and Biomaterials
  • Editorial Note: The Special Issue Clinical and Translational Research on Technologies for Diagnosis and Treatment has been withdrawn. Consequently, this article has been removed from this Special Issue's webpage on 31 January 2025 and remains available within the regular issue in which it was originally published. The editorial office confirms that this article adhered to MDPI's standard editorial process (https://www.mdpi.com/editorial_process).

Abstract

A biodegradable hybrid polymer patch was invented at the University of Cincinnati to cover gaps on the skin over the spinal column of a growing fetus, characterized by the medical condition spina bifida. The inserted patch faces amniotic fluid (AF) on one side and cerebrospinal fluid on the other side. The goal is to provide a profile of the roughness of a patch over time at 0, 4, 8, 12, and 16 weeks with a 95% confidence band. The patch is soaked in a test tube filled with either amniotic fluid (AF) or phosphate-buffered saline (PBS) in the lab. If roughness is measured at any time point for a patch, the patch is destroyed. Thus, it is impossible to measure roughness at all weeks of interest for any patch. It is important to assess the roughness of a patch because the rougher the patch is, the faster the skin grows under the patch. We use a model-based approach with Monte Carlo simulations to estimate the profile over time with a 95% confidence band. The roughness profiles are similar with both liquids. The profile can be used as a template for future experiments on the composition of patches.

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