基于死后计算机断层扫描的评估大脑分解:与死后间隔的相关性和死亡原因的可确定性
Haruki Fukuda1, Hiroyuki Tokue2, Miyuki Shiraishi3
1Department of Legal Medicine, Gunma University, Graduate School of Medicine, Maebashi 371-8511 Japan; Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, CH-8057 Zurich, Switzerland.
Legal medicine (Tokyo, Japan)
|September 16, 2025
概括
死后计算机断层扫描 (PMCT) 可以使用大脑分解阶段估计死后间隔 (PMI). 这种方法准确地预测了更长的PMI,并有助于确定腐烂尸体中死亡原因.
科学领域:
- 法医科学 法医科学 法医科学
- 放射学 放射学是一门学科.
- 病理学 病理学 病理学
背景情况:
- 准确的死后间隔 (PMI) 估计在法医调查中至关重要.
- 死后计算机断层扫描 (PMCT) 提供了评估大脑分解作为PMI标记物的潜力.
- 关于PMCT用于大脑分解和PMI估计的先前研究是有限的.
研究的目的:
- 通过使用PMCT发现来分类和量化大脑分解.
- 为了调查大脑分解,PMI和死亡原因的确定性之间的关联.
- 探索环境因素对大脑分解的影响.
主要方法:
- 追溯分析176个成年人尸检案例与尸检前的PMCT.
- 根据视觉PMCT发现,将大脑分解分为五个阶段的分类.
- 在轴心CT切片上使用大脑面积与长度比率量化分解.
- 相关性和回归分析以评估PMI,分解和死亡原因之间的关联.
主要成果:
- 大脑分解阶段和定量指数与PMI有很强的相关性 (ρ = 0.61至-0.69).
- 对于估计PMI≥7-60天的高预测性能 (AUC:0.904-0.984).
- 大脑面积比率显示PMI≥60天 (AUC=0.984) 的最高准确度.
- 不确定的死亡原因随着分解阶段 (第四阶段:92.9%) 显著增加.
- 大脑变形比率与季节性影响正相关 (p = 0.0017).
结论:
- 基于PMCT的脑分解评估为估计晚期PMI提供了客观标记.
- 这种方法可以帮助评估分解尸体中死亡原因的可能性.
- PMCT提供了一种有价值的工具,用于对分解变化的法医分析.
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