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A review on rehydrating solutions for fingertips in dried decomposed bodies 干腐尸体中指尖再水化液的研究进展
Q3 Medicine Pub Date : 2025-07-01 Epub Date: 2024-12-15 DOI: 10.1016/j.fsir.2024.100399
Praveena Prabhakaran , Shankar M. Bakkannavar , Vinod C. Nayak , Vinutha R. Bhat
In forensic science, fingerprint analysis remains one of the most reliable methods for identifying individuals. However, this becomes challenging when dealing with decomposed bodies. Although various techniques are available, there is still a lack of a methodology that yields results quickly, particularly for retrieving and rehydrating mummified fingertips. Mummified tissue presents unique challenges for fingerprinting due to its rigidity, shrinkage, and other features that obscure epidermal ridge detail. This article overviews the rehydration solutions currently used to restore fingerprint details. These solutions include sodium hydroxide, sodium carbonate, ethanol, and recent advancements such as citric acid and specialized tissue conditioners. The efficacy of each solution is discussed in terms of effectiveness and the time required for rehydration. By summarizing these approaches, this article aims to inform forensic practitioners of the available techniques for rehydration and explore future prospects in this field.
在法医学中,指纹分析仍然是鉴定个人身份最可靠的方法之一。然而,在处理腐烂的尸体时,这变得很有挑战性。尽管有各种各样的技术可供使用,但仍然缺乏一种快速产生结果的方法,特别是用于提取和再水化木乃伊的指尖。木乃伊组织由于其刚性、收缩和其他模糊表皮脊细节的特征,为指纹识别提出了独特的挑战。本文概述了目前用于恢复指纹细节的补液溶液。这些解决方案包括氢氧化钠、碳酸钠、乙醇和最近的进展,如柠檬酸和专门的组织调理剂。讨论了每种溶液的功效和补液所需的时间。通过总结这些方法,本文旨在告知法医从业者可用的技术补液,并探讨该领域的未来前景。
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引用次数: 0
An evolution of forensic linguistics: From manual analysis to machine learning – A narrative review 法律语言学的演变:从人工分析到机器学习——叙述性回顾
Q3 Medicine Pub Date : 2025-07-01 Epub Date: 2025-05-11 DOI: 10.1016/j.fsir.2025.100417
R. Thamizh Mani , Vikram Palimar , Mamatha Shivananda Pai , T.S. Shwetha , M. Nirmal Krishnan
Forensic linguistics has evolved from manual textual analysis to machine learning (ML)-driven methodologies, fundamentally transforming its role in criminal investigations. This narrative review clarifies three core objectives: (1) tracing the field’s historical trajectory from early manual techniques to computational innovations, (2) systematically comparing the accuracy, efficiency, and reliability of manual versus ML-based approaches, and (3) identifying persistent challenges in ML integration, including algorithmic bias and legal admissibility. By synthesizing 77 studies, the analysis reveals that ML algorithms—notably deep learning and computational stylometry—outperform manual methods in processing large datasets rapidly and identifying subtle linguistic patterns (e.g., authorship attribution accuracy increased by 34 % in ML models). However, manual analysis retains superiority in interpreting cultural nuances and contextual subtleties, underscoring the need for hybrid frameworks that merge human expertise with computational scalability. The study’s novel contribution lies in its empirical demonstration of ML’s transformative potential while critiquing overreliance on automated systems without ethical safeguards. Key challenges, such as biased training data and opaque algorithmic decision-making, highlight unresolved barriers to courtroom admissibility. The review concludes by advocating for standardized validation protocols and interdisciplinary collaboration to advance forensic linguistics into an era of ethically grounded, AI-augmented justice. This dual emphasis on technological innovation and critical oversight positions the field to address evolving demands for precision and interpretability in legal evidence analysis. By addressing these issues, the field is well-positioned to advance as an indispensable and ethically grounded tool in pursuing justice.
法律语言学已经从人工文本分析发展到机器学习(ML)驱动的方法,从根本上改变了它在刑事调查中的作用。本文阐述了三个核心目标:(1)追溯该领域从早期手工技术到计算创新的历史轨迹;(2)系统地比较手工与基于ML的方法的准确性、效率和可靠性;(3)确定ML集成中持续存在的挑战,包括算法偏见和法律可接受性。通过综合77项研究,分析表明ML算法-特别是深度学习和计算文体学-在快速处理大型数据集和识别微妙的语言模式方面优于手动方法(例如,作者归属准确性在ML模型中提高了34% %)。然而,手工分析在解释文化的细微差别和上下文的细微差别方面保持着优势,强调了将人类专业知识与计算可伸缩性相结合的混合框架的需求。这项研究的新颖贡献在于,它以实证的方式展示了机器学习的变革潜力,同时批评了对没有道德保障的自动化系统的过度依赖。关键的挑战,如有偏见的训练数据和不透明的算法决策,突出了法庭可采性尚未解决的障碍。最后,该综述倡导标准化的验证协议和跨学科合作,以推动司法语言学进入一个基于道德的、人工智能增强的司法时代。这种对技术创新和关键监督的双重强调使该领域能够解决法律证据分析中对准确性和可解释性的不断变化的需求。通过解决这些问题,司法领域将在追求正义的过程中成为不可或缺的、有道德基础的工具。
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引用次数: 0
Synthetic illicit opioids in Brazil: Nitazenes arrival 巴西的非法阿片合成物:硝基苯类抵达
Q3 Medicine Pub Date : 2024-12-01 Epub Date: 2024-06-17 DOI: 10.1016/j.fsir.2024.100375
Karen Rafaela Gonçalves de Araújo , André Luis Fabris , Luiz Ferreira Neves Junior , Alexandre Learth Soares , Jose Luiz Costa , Mauricio Yonamine

Purpose

While illicit opioids have not been historically significant in Brazil, these numbers have increased in the last few years. This change in the drug scenario is mainly associated with synthetic opioids, a class of new psychoactive substances (NPS). In this context, the present article describes detailed information about the recent cases of synthetic opioids seized in Brazil, especially the nitazenes group.

Methods

All the analyses were carried out by the Superintendence of the Technical-Scientific Police - Narcotics Control Center (STSP-NCC) in São Paulo, between July 2022 and April 2023. The synthetic opioids were mainly found in herbal fragments.

Results

Nitazenes, were the most frequent drugs detected in the seizures that took place in the State of São Paulo. There was a total of 140 cases of opioids seizures and 95 % out of those belonging to the nitazene group, while only 5 % consisted of other opioids (morphine and fentanyl). Nitazenes were found 28.6 % isolated and 71.4 % mixed with other active compounds, being MDMB-4en-PINACA the most prevalent (30 % of the samples). Non-nitazenes were found 27.1 % mixed and 72.9 % isolated. Nitazenes and non-nitazene opioids were not found in association in any sample.

Conclusion

This is the first consistent report of nitazene opioids apprehensions in Brazil. Also, as far as we know, it is the first report in which nitazenes were detected in the form of herbal fragments. The effect of smoking a potent opioid together with synthetic cannabinoids is unpredictable and most users cannot be aware of what they are using.

目的虽然非法阿片类药物在巴西历来并不常见,但在过去几年中数量有所增加。毒品形势的这种变化主要与合成类阿片(一类新的精神活性物质)有关。在此背景下,本文详细介绍了近期在巴西缉获的合成类阿片,特别是硝基苯类阿片的情况。方法2022 年 7 月至 2023 年 4 月期间,圣保罗技术科学警察监管局-麻醉品管制中心(STSP-NCC)进行了所有分析。结果在圣保罗州查获的毒品中,最常见的是硝氮类药物。共查获 140 例阿片类药物,其中 95% 属于硝氮类,只有 5% 属于其他阿片类药物(吗啡和芬太尼)。发现 28.6%的硝氮类药物是单独存在的,71.4%与其他活性化合物混合,其中以 MDMB-4en-PINACA 最为普遍(占样本的 30%)。非硝基苯类化合物的混合比例为 27.1%,分离比例为 72.9%。在任何样本中都没有发现硝氮类和非硝氮类阿片。此外,据我们所知,这也是第一份以草药碎片形式检测到硝氮类药物的报告。吸食强效类阿片和合成大麻素的效果是不可预测的,大多数吸食者无法意识到他们吸食的是什么。
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引用次数: 0
Geographical profiling of wood samples via ATR-FTIR spectroscopy and machine learning algorithms: Application in wood forensics 通过 ATR-FTIR 光谱和机器学习算法对木材样本进行地理剖面分析:木材取证中的应用
Q3 Medicine Pub Date : 2024-12-01 Epub Date: 2024-06-17 DOI: 10.1016/j.fsir.2024.100377
Suraj Garg, Akanksha Sharma, Vishal Sharma

Illegal activities associated with deforestation for the lumber and furniture industries pose significant threats to plant and animal biodiversity, as well as natural resources. Accurate identification of wood sources is vital, yet traditional laboratory techniques often fall short in precisely determining the chemical composition of samples for classification. This study aims to leverage ATR-FTIR spectroscopy alongside machine learning algorithms to construct a robust model for discerning the geographical origins of wood samples from India. By systematically comparing various machine learning classifiers, we address the limitations of subjective visual interpretation and evaluate their accuracy using wood spectral data. Logistic regression emerges as the most effective classifier for distinguishing Eucalyptus (75 % accuracy), Dalbergia (68 % accuracy), and Populus (81.5 % accuracy) species. Through a methodology encompassing data pre-processing, classifier selection, and performance evaluation, this research offers promising tools for combating challenges posed by illegal wood trafficking and transportation. The outcomes hold significant potential for enhancing wildlife crime prevention efforts by facilitating the tracing illicit timber sources, apprehension of perpetrators, and implementation of preventive measures.

为木材和家具行业砍伐森林的非法活动对动植物生物多样性和自然资源构成了严重威胁。准确识别木材来源至关重要,但传统的实验室技术往往无法精确确定样本的化学成分,从而无法进行分类。本研究旨在利用 ATR-FTIR 光谱和机器学习算法来构建一个强大的模型,用于辨别印度木材样本的地理来源。通过系统地比较各种机器学习分类器,我们解决了主观视觉解读的局限性,并利用木材光谱数据评估了它们的准确性。逻辑回归是区分桉树(准确率为 75%)、山茱萸(准确率为 68%)和杨树(准确率为 81.5%)树种最有效的分类器。这项研究通过数据预处理、分类器选择和性能评估等方法,为应对非法木材贩运和运输带来的挑战提供了前景广阔的工具。这些成果有助于追踪非法木材来源、逮捕犯罪者和实施预防措施,从而为加强野生动物犯罪预防工作提供了巨大的潜力。
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引用次数: 0
Sex estimation from the first and second ribs using 3D postmortem CT images in a Japanese population: A comparison of discriminant analysis and machine learning techniques 在日本人群中使用三维尸检 CT 图像从第一和第二肋骨估测性别:判别分析与机器学习技术的比较
Q3 Medicine Pub Date : 2024-12-01 Epub Date: 2024-08-31 DOI: 10.1016/j.fsir.2024.100386
Tawachai Monum , Yohsuke Makino , Daisuke Yajima , Go Inoguchi , Fumiko Chiba , Suguru Torimitsu , Maiko Yoshida , Patison Palee , Yumi Hoshioka , Naoki Saito , Hirotaro Iwase

This study investigated the use of 3D postmortem computed tomography (PMCT) images of the first and second ribs for sex estimation in a Japanese population. Sex estimation models using conventional discriminant analysis and ten machine learning algorithms including logistic regression (LR), Naive Bayes (NB), K-Nearest Neighbors (KNN), decision tree (DT), random forest (RF), support vector machine (SVM), linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), artificial neural network (ANN), and extra tree (ET), were achieved from PMCT measurements of the first and second rib and the accuracy of models were compared. The results showed that ML algorithms, particularly LR, outperformed discriminant analysis, achieving an accuracy of 83.6 % compared to 79.1 % for stepwise discriminant analysis. This study highlights the potential of 3D PMCT and ML for accurate sex estimation in forensic anthropology.

本研究调查了在日本人群中使用第一和第二肋骨的三维死后计算机断层扫描(PMCT)图像进行性别估计的情况。根据第一和第二肋骨的 PMCT 测量结果,使用传统判别分析和十种机器学习算法(包括逻辑回归 (LR)、奈夫贝叶斯 (NB)、K-近邻 (KNN)、决策树 (DT)、随机森林 (RF)、支持向量机 (SVM)、线性判别分析 (LDA)、二次判别分析 (QDA)、人工神经网络 (ANN) 和额外树 (ET))建立了性别估计模型,并对模型的准确性进行了比较。结果显示,ML 算法(尤其是 LR)优于判别分析,准确率达到 83.6%,而逐步判别分析的准确率为 79.1%。这项研究凸显了三维 PMCT 和 ML 在法医人类学中准确估计性别的潜力。
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引用次数: 0
From death to the Virgin birth: Multi-analytical investigation of a suspected 16th century painting 从死亡到圣母诞生对一幅疑似 16 世纪绘画的多重分析调查
Q3 Medicine Pub Date : 2024-12-01 Epub Date: 2024-11-07 DOI: 10.1016/j.fsir.2024.100392
Michelle G. Carlin , Nicola Grimaldi
A painting depicting St John the Baptist prior to his brutal execution, until recently, was held in storage at the Bowes Museum in the North of England, UK. Owing to weakened joins in the wood panel the painting was marked for art conservation treatments, examination and analysis. However, other than the fact that the records show it purchased in Italy in the late nineteenth century by museum founders John and Joséphine Bowes, little else is known of the work. Through a combination of chemical testing and technical art history, further knowledge of the painting has been established. Preparation of cross sections of paint was carried out, as well as chemical testing involving pyrolysis gas chromatography – mass spectrometry (py-GCMS) and attenuated total reflectance – Fourier transform infrared spectroscopy (ATR-FTIR), lead white, chalk and linseed oil as binder were identified. The presence of an aged natural resin on the surface of the painting, presence of a thick gesso ground layer, as well as examination of the wood panel construction provided insight into the techniques used in the artwork and that they are comparable with late Medieval to early Renaissance period methods. During examination of the cross-section images, it was noted that there was a second preparatory ground layer in the central part of the sequence; this feature prompted further multi-spectral photography and analysis. X-radiography a commonly used technique for painting analysis surprisingly revealed an entirely different image depicting a nativity scene which had been previously completely concealed by the painting of St John we see today. Although an unexpected discovery still presents some unanswered questions such as who the original artist was and why was the panel so radically reworked. This investigation began with the depiction of the imminent death of the St John the Baptist and ended with the virgin birth. This analytical methodology was applied in technical art history but may also have applications in forensic investigations of suspected fraudulent works of art.
直到最近,一幅描绘施洗者圣约翰被残忍处死前的画作一直保存在英国英格兰北部的鲍斯博物馆。由于木板的接合处受损,这幅画被标记为需要进行艺术保护处理、检查和分析。然而,除了记录显示博物馆创始人约翰和约塞芬-鲍斯于 19 世纪末在意大利购买了这幅画之外,人们对这幅作品知之甚少。通过化学测试和技术艺术史的结合,我们对这幅画有了进一步的了解。我们制备了油漆的横截面,并通过热解气相色谱-质谱法(py-GCMS)和衰减全反射-傅立叶变换红外光谱法(ATR-FTIR)进行了化学测试,确定了作为粘合剂的铅白、白垩和亚麻籽油。画作表面存在老化的天然树脂、厚厚的石膏粉底层,以及对木板结构的检查,让我们了解到艺术品中使用的技术,这些技术可与中世纪晚期至文艺复兴早期的方法相媲美。在检查横截面图像时,我们注意到在序列的中央部分有第二层准备地面层;这一特征促使我们进一步进行多光谱摄影和分析。X 射线摄影是一种常用的绘画分析技术,它出人意料地发现了一幅完全不同的图像,描绘的是耶稣诞生的场景,而这幅图像之前完全被我们今天看到的圣约翰画作所掩盖。尽管这一发现出乎意料,但仍然存在一些未解之谜,例如原作者是谁,为什么这幅画会被如此彻底地重新加工。这项调查从描绘施洗者圣约翰濒临死亡开始,以童贞女降生结束。这种分析方法适用于技术艺术史,但也可用于对涉嫌欺诈的艺术品进行法医调查。
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引用次数: 0
Technical Report A light touch; Reviewing the relative effectiveness of light sources and physical/chemical techniques for fingermark retrieval in casework 技术报告:轻触;审查光源和物理/化学技术在个案工作中提取指痕的相对有效性
Q3 Medicine Pub Date : 2024-12-01 Epub Date: 2024-11-09 DOI: 10.1016/j.fsir.2024.100391
Nicholas Marsh , Karen Marsh , Lisa Hall , Ruth Buckley , Stephen Bleay
This study reviewed the efficacy of non-contact light source examinations of serious crime scenes using ultraviolet A (UVA) light, bespoke white light and lasers, compared with subsequent powdering or chemical enhancements. Twenty-six examinations of serious crime scenes or motor vehicles were analysed, from which 655 areas of retrieved fingermark or friction ridge detail1 where reported on. It was found that undertaking a light source examination revealed equivalent numbers of marks to aluminium powder and chemical enhancements, with only a 4 % duplication rate between optical and physical/chemical techniques suggesting that both approaches are supplementary and should be used sequentially to each other.
本研究审查了使用紫外线 A (UVA)、定制白光和激光对严重犯罪现场进行非接触式光源检查的效果,并与随后的粉末处理或化学强化进行了比较。对 26 个严重犯罪现场或机动车辆进行了分析,从中报告了 655 个区域的指痕或摩擦纹细节1。结果发现,光源检查所发现的痕迹数量与铝粉和化学增强技术相当,光学技术和物理/化学技术的重复率仅为 4%,这表明这两种方法都是辅助性的,应依次使用。
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引用次数: 0
Results of the 2023 rapid DNA multi-laboratory study – RapidINTEL Plus sample cartridge 2023快速DNA多实验室研究结果- RapidINTEL Plus样品盒
Q3 Medicine Pub Date : 2024-12-01 Epub Date: 2024-12-04 DOI: 10.1016/j.fsir.2024.100396
Erica L. Romsos , Lilliana I. Moreno , Douglas R. Hares
Identical sensitivity and mixture sample sets were provided to six external laboratories to evaluate the recent enhancements to the Rapid DNA technology for crime scene-type samples. Data were returned to the Federal Bureau of Investigation and the National Institute of Standards and Technology for review and analysis. Manual interpretation (modified Rapid DNA analysis) was conducted on all samples to assess the success of genotyping for both full profiles and the 20 Combined DNA Index System (CODIS) core STR loci using 18 total cellular DNA input amounts ranging from 102.4 ng to 0.025 ng. Two-person and three-person mixtures at varying ratios for two total DNA inputs were analyzed and observed allele percentages were compared to expected allele percentages.
向六个外部实验室提供了相同的灵敏度和混合样本集,以评估最近对犯罪现场类型样本的快速DNA技术的改进。数据被送回联邦调查局和国家标准与技术研究所进行审查和分析。对所有样本进行人工解释(改进的快速DNA分析),以评估完整谱和20个组合DNA索引系统(CODIS)核心STR位点的基因分型成功,使用18个总细胞DNA输入量,范围为102.4 ng至0.025 ng。分析了两种总DNA输入的不同比例的两人和三人混合,并将观察到的等位基因百分比与预期的等位基因百分比进行了比较。
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引用次数: 0
The impact of filling procedure for labial augmentation (FPLA) therapy on the stability of lip print: A longitudinal study 唇部填充术(FPLA)对唇印稳定性的影响:纵向研究
Q3 Medicine Pub Date : 2024-12-01 Epub Date: 2024-07-14 DOI: 10.1016/j.fsir.2024.100382
Asmaa F. Sharif , Kawther AlShaikh , Nada AlQuraishi , Inas I. Abdelgawad

Lip print identification is one of the forensic identification tools recognized a long time ago. Few studies investigated the stability of lip prints, particularly the changes attributed to time or aging. To our knowledge, no previous studies speculated the changes in lip print following lip augmentation therapy, which has increased over the last few years. Therefore, the current study aimed to investigate the effect of lip augmentation therapy on lip print stability. The current study was a prospective longitudinal study that enrolled female volunteers who underwent a filling procedure for labial augmentation. A total of 24 volunteers' prints were analyzed using Suzuki and Tsuchihashi classification. Participants showed a mean age of 27.5 ± 6.0 years. The current study showed that no two lips exhibited the same pattern. Moreover, although the filling procedure for labial augmentation (FPLA) therapy preserved the predominant groove pattern, it significantly influenced the frequency of lip patterns in all lip quadrants. A significant decline in the number of lip grooves, notably Types I and I' was noticed. However, the predominant groove pattern was preserved. Quadrants A and D were the least affected lip parts. Type I′ was the predominant lip pattern over the study population, representing 83.3 %, followed by Type I, representing 16.7 % before and 12.5 % after augmentation without a statistically significant difference (p = 0.317). On the other side, Type III was the least presented pattern. The upper lip score had decreased significantly after augmentation from 71.5 ± 10.8–65.8 ± 10.2, and the lower lip score had decreased significantly from 67.4 ± 13.7–64.9 ± 13.5. Consequently, the overall lips score had decreased significantly from 139.0 ± 22.9–130.7 ± 21.1 after augmentation (p < 0.001). So, we recommend adopting more than one criterion to report a reliable, repeatable lip print, including the frequency of lip lines besides the predominant pattern. However, we advise giving more attention to the distinguished lip patterns (Types II, III, IV, and V) and considering the FPLA as one of the lip print modifiers.

唇纹鉴定是很早以前就被认可的法医鉴定工具之一。很少有研究调查唇印的稳定性,特别是由于时间或老化引起的变化。据我们所知,以前的研究都没有推测丰唇治疗后唇纹的变化,而丰唇治疗在过去几年中有所增加。因此,本研究旨在探讨丰唇疗法对唇部纹路稳定性的影响。本研究是一项前瞻性纵向研究,研究对象是接受了丰唇填充术的女性志愿者。研究人员使用铃木和土桥分类法对 24 名志愿者的唇印进行了分析。参与者的平均年龄为(27.5 ± 6.0)岁。本次研究显示,没有两张嘴唇表现出相同的模式。此外,虽然丰唇填充术(FPLA)疗法保留了主要的沟纹模式,但却显著影响了所有唇象限的唇纹频率。我们注意到唇沟的数量明显减少,尤其是 I 型和 I'型。不过,主要的唇沟形态仍得以保留。A 象限和 D 象限是受影响最小的唇部部位。在研究人群中,I′型是最主要的唇沟形态,占 83.3%,其次是 I 型,在丰唇前和丰唇后分别占 16.7% 和 12.5%,差异无统计学意义(P = 0.317)。另一方面,III 型是最少出现的形态。丰唇后,上唇评分从 71.5 ± 10.8-65.8 ± 10.2 显著下降,下唇评分从 67.4 ± 13.7-64.9 ± 13.5 显著下降。因此,丰唇后嘴唇的总分从 139.0 ± 22.9-130.7 ± 21.1 显著下降(p < 0.001)。因此,我们建议采用一种以上的标准来报告可靠、可重复的唇纹,包括主要唇纹以外的唇纹出现频率。不过,我们建议更多地关注杰出的唇纹(II、III、IV 和 V 型),并将 FPLA 视为唇纹修饰因素之一。
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引用次数: 0
A rectal foreign body with giant bladder stone; An autopsy case of unusual autoerotic death 直肠异物伴巨大膀胱结石;一例不寻常的自体死亡尸检病例
Q3 Medicine Pub Date : 2024-12-01 Epub Date: 2024-08-29 DOI: 10.1016/j.fsir.2024.100385
Tadashi Hosoya , Kazuki Harada , Jun Kanetake

A man in his 60 s, who had experienced sustained abdominal pain intermittently for three years, lost consciousness and was transferred to an emergency hospital, where he was pronounced dead. In the forensic autopsy, a giant bladder stone measuring 6.5 × 6.0 × 4.0 cm was found adhering to an aluminum eyeliner that penetrated the anterior wall of his rectum. This might have induced pyelonephritis in the left kidney, resulting in sepsis. The deceased may have inserted the eyeliner for sexual stimulation. However, the eyeliner did not injure the peritoneum and no peritonitis occurred, which probably prevented acute sepsis immediately after insertion. The exact time of penetration was undetermined; however, the rectal foreign body may have been retained for three years. This case suggests that sexual activity should be considered a possible manner of death, even if it took place several years previously.

一名 60 多岁的男子间歇性持续腹痛三年后失去知觉,被紧急送往医院,并被宣布死亡。法医验尸时发现,一颗 6.5 × 6.0 × 4.0 厘米的巨型膀胱结石附着在穿透其直肠前壁的铝制眼线笔上。这可能诱发了左肾的肾盂肾炎,导致败血症。死者可能是为了性刺激而插入眼线笔的。然而,眼线笔没有伤及腹膜,也没有发生腹膜炎,这可能避免了插入后立即发生急性败血症。插入的确切时间无法确定;不过,直肠异物可能已经保留了三年。该病例表明,即使性活动发生在几年前,也应将其视为可能的死亡方式。
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引用次数: 0
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Forensic Science International: Reports
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