Sato Shunichi, Yamazaki Mutsuo, Saitoh Daizoh, Tsuda Hitoshi, Okada Yoshiaki, Obara Minoru, Ashida Hiroshi
Division of Biomedical Information Sciences, National Defense Medical College Research Institute, National Defense Medical College, Tokorozawa, Japan.
J Trauma. 2005 Dec;59(6):1450-5; discussion 1455-6. doi: 10.1097/01.ta.0000197389.94466.04.
Accurate burn depth assessment is important for determining the appropriate treatment plan for severe burn patients. However, conventional methods of diagnoses, such as visual observation and pinprick test, are often inaccurate. We previously proposed a new method for burn diagnosis in which photoacoustic signals originating from the blood in healthy tissue under the injured tissue are measured. In this study, we investigated the validity of this method by an experiment using rat scald burn models.
Superficial dermal burns (SDBs), deep dermal burns (DDBs), and deep burns (DBs) were made in the dorsal skin of rats by using a Walker-Mason template. Wounds were irradiated with low-energy, 550-nm, nanosecond pulsed light, and photoacoustic signals induced were measured with a piezoelectric film as a function of postburn time. Measurement in normal skin as a control was also performed. Temporal profiles of the photoacoustic signals were converted into depth profiles using sound velocity of tissue, and for each profile, a peak showing highest signal intensity was selected. For this peak, the depth at which the signal rose (signal rise depth) and the depth that gave a peak value (signal peak depth) were recorded. Statistical analysis was performed to clarify the difference in depth information of signals between burn groups.
Depth profiles of photoacoustic signals showed unique features depending on the degree of burn; pronounced peaks shifted to deeper tissue as the burn severity increased. This indicates that the zone of stasis formed due to injuries can be monitored. There were significant differences in both the signal rise depth and the peak depth between the control and SDB groups, SDB and DDB groups, and DDB and DB groups (p < 0.001).
SDBs, DDBs, and DBs can be differentiated by photoacoustic signals, suggesting that the method proposed is useful for diagnosing burn injuries.
准确评估烧伤深度对于确定重度烧伤患者的合适治疗方案至关重要。然而,传统的诊断方法,如视觉观察和针刺试验,往往不准确。我们之前提出了一种新的烧伤诊断方法,即测量受伤组织下方健康组织中血液产生的光声信号。在本研究中,我们通过使用大鼠烫伤模型的实验来研究该方法的有效性。
使用沃克 - 梅森模板在大鼠背部皮肤制造浅度真皮烧伤(SDB)、深度真皮烧伤(DDB)和深度烧伤(DB)。用低能量、550纳米、纳秒脉冲光照射伤口,并用压电薄膜测量诱导产生的光声信号随烧伤后时间的变化。还对正常皮肤进行测量作为对照。利用组织声速将光声信号的时间轮廓转换为深度轮廓,对于每个轮廓,选择显示最高信号强度的峰值。对于该峰值,记录信号上升的深度(信号上升深度)和给出峰值的深度(信号峰值深度)。进行统计分析以阐明烧伤组之间信号深度信息的差异。
光声信号的深度轮廓根据烧伤程度显示出独特特征;随着烧伤严重程度增加,明显的峰值向更深组织移动。这表明因损伤形成的淤血区域可以被监测。对照组与SDB组、SDB组与DDB组以及DDB组与DB组之间的信号上升深度和峰值深度均存在显著差异(p < 0.001)。
SDB、DDB和DB可通过光声信号进行区分,表明所提出方法对烧伤损伤诊断有用。