In vivo evaluation of burn severity in skin tissue of rats using hemoglobin parameters estimated by red-green-blue imaging.

IF 3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS
Journal of Biomedical Optics Pub Date : 2025-03-01 Epub Date: 2025-03-24 DOI:10.1117/1.JBO.30.3.036006
Rokeya Khatun, Kaisei Okura, Md Anowar Parvez, Kazuhiro Yashiro, Yuki Nagahama, Yasuyuki Tsunoi, Satoko Kawauchi, Daizoh Saitoh, Shunichi Sato, Izumi Nishidate
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引用次数: 0

Abstract

Significance: Burn injuries are a global public health problem and are estimated to cause more than 150,000 deaths annually. Even non-fatal burns result in prolonged hospitalization, disfigurement, and disability. The depth of the burn injury is crucial information for selecting adequate treatment for burns. The most common, convenient, and widely used method for assessing burn severity is visual examination, but the accuracy of this method is insufficient, at only 60% to 75%. Rapid and accurate assessment of burn severity is critical for optimal management and treatment of burn patients. Methods of burn severity assessment that are inexpensive, simple, rapid, non-contact, and non-invasive are thus needed.

Aim: We aim to propose an approach to visualize the spatial distribution of burn severity using hemoglobin parameters estimated from a snapshot red-green-blue (RGB) color image and to demonstrate the feasibility of this proposed approach for differentiating burn severity in a rat model of scald burn injury.

Approach: The approach to creating a spatial map of burn severity was based on canonical discriminant analysis (CDA) of total hemoglobin concentration, tissue oxygen saturation, and methemoglobin saturation as estimated from RGB color images. Burns of two different degrees of severity were created in rat dorsal skin by 10-s exposure to water maintained at 70°C and 78°C. RGB color images for the dorsal regions were acquired under anesthesia before burn injury and at 24, 48, and 72 h after injury.

Results: Most areas of images in the groups with skin exposed to 70°C, 78°C, and 37°C water were classified as 70°C burn, 78°C burn, and non-burned normal skin, respectively, over 48 to 72 h. In contrast, classification images of the skin group exposed to 70°C water for 24 h showed a mixture of non-burned normal skin and 70°C burned areas, suggesting that burn severity was heterogeneous.

Conclusions: The proposed approach combining RGB color imaging and CDA appears promising for differentiating 78°C burns from 70°C burns and non-burned normal skin and non-burned normal skin from 70°C and 78°C burns at 24 to 72 h after burn injury in a rat model of scald burn injury.

用红绿蓝成像估计的血红蛋白参数评估大鼠皮肤组织烧伤严重程度。
意义:烧伤是一个全球性的公共卫生问题,估计每年造成超过15万人死亡。即使是非致命的烧伤也会导致长期住院、毁容和残疾。烧伤的深度是选择适当的烧伤治疗方法的关键信息。最常见、最方便、最广泛使用的评估烧伤严重程度的方法是目测,但这种方法的准确性不足,只有60%至75%。快速准确地评估烧伤严重程度对于优化烧伤患者的管理和治疗至关重要。因此,需要廉价、简单、快速、非接触和非侵入性的烧伤严重程度评估方法。目的:我们的目标是提出一种方法,利用从快照红绿蓝(RGB)彩色图像估计的血红蛋白参数来可视化烧伤严重程度的空间分布,并证明该方法在大鼠烫伤损伤模型中区分烧伤严重程度的可行性。方法:建立烧伤严重程度空间图的方法是基于典型判别分析(CDA)的总血红蛋白浓度,组织氧饱和度,高铁血红蛋白饱和度估计从RGB彩色图像。在70°C和78°C的水中暴露10 s,在大鼠背部皮肤上产生两种不同程度的烧伤。在烧伤前和伤后24、48和72小时的麻醉下获得背部区域的RGB彩色图像。结果:皮肤暴露在70°C、78°C和37°C水下48 ~ 72 h,大部分图像区域分别被分类为70°C烧伤、78°C烧伤和未烧伤的正常皮肤。而皮肤暴露在70°C水下24 h的分类图像显示,未烧伤的正常皮肤和70°C烧伤区域混合,表明烧伤严重程度是异质性的。结论:RGB彩色成像与CDA相结合的方法有望在烫伤大鼠模型中区分78°C烧伤与70°C烧伤、未烧伤的正常皮肤和70°C和78°C烧伤后24 ~ 72 h的未烧伤的正常皮肤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.40
自引率
5.70%
发文量
263
审稿时长
2 months
期刊介绍: The Journal of Biomedical Optics publishes peer-reviewed papers on the use of modern optical technology for improved health care and biomedical research.
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