Purpose: A pressure of approximately 15-25 mmHg is used for effective compression therapy to prevent and treat hypertrophic scar formation in patients with burns. However, conventional facial compression garments present challenges owing to inadequate pressure distribution in curved areas such as the cheeks, around the mouth, and the slope of the nose. This study aimed to evaluate the utility of a custom-made 3D compression mask equipped with pressure sensors to treat facial burn scars.

Methods: This single-blinded, prospective randomized controlled trial was conducted between May and October 2023, involving 48 burn scars in 12 inpatients with facial burns. We created the custom-made 3D compression mask equipped with pressure sensors, inner lined with biocompatible silicon, and a harness system using 3D printing technology, which can continuously monitor whether an appropriate pressure of 15-25 mmHg maintains. The biological scar properties, Vancouver Scar Scale (VSS), and Patient and Observer Scar Assessment Scale (POSAS) scores in patients with facial burns were assessed before applying the compression mask and garment and at 4 and 12 weeks after application.

Results: Pre-application assessment of biological scar properties, VSS, and POSAS revealed no statistically significant differences between the 3D mask and control groups (p > 0.05 for all). Throughout the 12-week application, skin hydration and scar thickness significantly increased (p < 0.001) and reduced (p = 0.010), respectively, in the 3D mask group compared to the control group. Additionally, significant improvements in scar pliability (p = 0.004) and height (p = 0.009) of VSS, itching (p = 0.047), scar stiffness (p = 0.001), thickness (p = 0.011), and irregularity (p < 0.001) of POSAS-patient component, and scar thickness (p = 0.001), pliability (p = 0.012), and surface area (p = 0.027) of the POSAS-observer component were observed in 3D mask group throughout the 12-week application compared to the control group.

Conclusion: The customized 3D compression mask equipped with pressure sensors significantly improved scar thickness, skin hydration, and various assessment scale parameters throughout the 12-week application.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.burns.2024.05.021DOI Listing

Publication Analysis

Top Keywords

compression mask
16
pressure sensors
12
facial burn
8
burn scars
8
randomized controlled
8
controlled trial
8
pressure 15-25 mmhg
8
custom-made compression
8
mask equipped
8
equipped pressure
8

Similar Publications

Purpose: The aim of this study was to investigate imaging conditions that allow for the rapid acquisition of mask images used in the subtraction method, one of the depiction improvement methods for brain magnetic resonance angiography, by employing compressed sensing (CS) combined with segmented time-of-flight (TOF).

Methods: The experiment was performed on healthy volunteers using 3.0T-MRI.

View Article and Find Full Text PDF

Radiation therapy targets tumor tissue and requires children to lay still, often necessitating sedation. Historically anesthesiologists provided procedural sedation, but pediatric critical care physicians now regularly administer sedation outside the operating room. Procedural sedation for radiation poses unique challenges.

View Article and Find Full Text PDF

An ideal compressed mask for increasing speech intelligibility without sacrificing environmental sound recognitiona).

J Acoust Soc Am

December 2024

Department of Speech and Hearing Science, and Center for Cognitive and Brain Sciences, The Ohio State University, Columbus, Ohio 43210, USA.

Hearing impairment is often characterized by poor speech-in-noise recognition. State-of-the-art laboratory-based noise-reduction technology can eliminate background sounds from a corrupted speech signal and improve intelligibility, but it can also hinder environmental sound recognition (ESR), which is essential for personal independence and safety. This paper presents a time-frequency mask, the ideal compressed mask (ICM), that aims to provide listeners with improved speech intelligibility without substantially reducing ESR.

View Article and Find Full Text PDF

Foreground separation knowledge distillation for object detection.

PeerJ Comput Sci

November 2024

School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu Province, China.

In recent years, deep learning models have become predominant methods for computer vision tasks, but the large computation and storage requirements of many models make them challenging to deploy on devices with limited resources. Knowledge distillation (KD) is a widely used approach for model compression. However, when applied in the object detection problems, the existing KD methods either directly applies the feature map or simply separate the foreground from the background by using a binary mask, aligning the attention between the teacher and the student models.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!