Clémence Delteil , Thais Manlius , Nicolas Bailly , Yves Godio-Raboutet , Marie-Dominique Piercecchi-Marti , Lucile Tuchtan , Jean-Francois Hak , Lionel Velly , Pierre Simeone , Lionel Thollon
{"title":"创伤性轴索损伤:临床、法医和生物力学视角","authors":"Clémence Delteil , Thais Manlius , Nicolas Bailly , Yves Godio-Raboutet , Marie-Dominique Piercecchi-Marti , Lucile Tuchtan , Jean-Francois Hak , Lionel Velly , Pierre Simeone , Lionel Thollon","doi":"10.1016/j.legalmed.2024.102465","DOIUrl":null,"url":null,"abstract":"<div><p>Identification of Traumatic axonal injury (TAI) is critical in clinical practice, particularly in terms of long-term prognosis, but also for medico-legal issues, to verify whether the death or the after-effects were attributable to trauma. Multidisciplinary approaches are an undeniable asset when it comes to solving these problems. The aim of this work is therefore to list the different techniques needed to identify axonal lesions and to understand the lesion mechanisms involved in their formation. Imaging can be used to assess the consequences of trauma, to identify indirect signs of TAI, to explain the patient’s initial symptoms and even to assess the patient’s prognosis. Three-dimensional reconstructions of the skull can highlight fractures suggestive of trauma. Microscopic and immunohistochemical techniques are currently considered as the most reliable tools for the early identification of TAI following trauma. Finite element models use mechanical equations to predict biomechanical parameters, such as tissue stresses and strains in the brain, when subjected to external forces, such as violent impacts to the head. These parameters, which are difficult to measure experimentally, are then used to predict the risk of injury. The integration of imaging data with finite element models allows researchers to create realistic and personalized computational models by incorporating actual geometry and properties obtained from imaging techniques. The personalization of these models makes their forensic approach particularly interesting.</p></div>","PeriodicalId":49913,"journal":{"name":"Legal Medicine","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1344622324000750/pdfft?md5=79c52811de4f714db9cca878053c3cfe&pid=1-s2.0-S1344622324000750-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Traumatic axonal injury: Clinic, forensic and biomechanics perspectives\",\"authors\":\"Clémence Delteil , Thais Manlius , Nicolas Bailly , Yves Godio-Raboutet , Marie-Dominique Piercecchi-Marti , Lucile Tuchtan , Jean-Francois Hak , Lionel Velly , Pierre Simeone , Lionel Thollon\",\"doi\":\"10.1016/j.legalmed.2024.102465\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Identification of Traumatic axonal injury (TAI) is critical in clinical practice, particularly in terms of long-term prognosis, but also for medico-legal issues, to verify whether the death or the after-effects were attributable to trauma. Multidisciplinary approaches are an undeniable asset when it comes to solving these problems. The aim of this work is therefore to list the different techniques needed to identify axonal lesions and to understand the lesion mechanisms involved in their formation. Imaging can be used to assess the consequences of trauma, to identify indirect signs of TAI, to explain the patient’s initial symptoms and even to assess the patient’s prognosis. Three-dimensional reconstructions of the skull can highlight fractures suggestive of trauma. Microscopic and immunohistochemical techniques are currently considered as the most reliable tools for the early identification of TAI following trauma. Finite element models use mechanical equations to predict biomechanical parameters, such as tissue stresses and strains in the brain, when subjected to external forces, such as violent impacts to the head. These parameters, which are difficult to measure experimentally, are then used to predict the risk of injury. The integration of imaging data with finite element models allows researchers to create realistic and personalized computational models by incorporating actual geometry and properties obtained from imaging techniques. The personalization of these models makes their forensic approach particularly interesting.</p></div>\",\"PeriodicalId\":49913,\"journal\":{\"name\":\"Legal Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1344622324000750/pdfft?md5=79c52811de4f714db9cca878053c3cfe&pid=1-s2.0-S1344622324000750-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Legal Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1344622324000750\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, LEGAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Legal Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1344622324000750","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
引用次数: 0
摘要
创伤性轴索损伤(TAI)的鉴定在临床实践中至关重要,特别是在长期预后方面,同时也涉及到医学法律问题,需要核实死亡或后遗症是否归因于创伤。在解决这些问题时,多学科方法是一种不可否认的资产。因此,这项工作的目的是列出识别轴索病变所需的不同技术,并了解其形成的病变机制。影像学可用于评估创伤的后果、识别 TAI 的间接征象、解释病人的初期症状,甚至评估病人的预后。颅骨的三维重建可以突出显示骨折提示的外伤。显微镜和免疫组化技术目前被认为是早期识别外伤后颅内损伤的最可靠工具。有限元模型使用机械方程来预测生物力学参数,如大脑在受到外力(如头部受到猛烈撞击)时的组织应力和应变。这些参数难以通过实验测量,因此可用于预测受伤风险。通过将成像数据与有限元模型相结合,研究人员可以结合从成像技术中获得的实际几何形状和属性,创建逼真的个性化计算模型。这些模型的个性化使其法医方法特别有趣。
Traumatic axonal injury: Clinic, forensic and biomechanics perspectives
Identification of Traumatic axonal injury (TAI) is critical in clinical practice, particularly in terms of long-term prognosis, but also for medico-legal issues, to verify whether the death or the after-effects were attributable to trauma. Multidisciplinary approaches are an undeniable asset when it comes to solving these problems. The aim of this work is therefore to list the different techniques needed to identify axonal lesions and to understand the lesion mechanisms involved in their formation. Imaging can be used to assess the consequences of trauma, to identify indirect signs of TAI, to explain the patient’s initial symptoms and even to assess the patient’s prognosis. Three-dimensional reconstructions of the skull can highlight fractures suggestive of trauma. Microscopic and immunohistochemical techniques are currently considered as the most reliable tools for the early identification of TAI following trauma. Finite element models use mechanical equations to predict biomechanical parameters, such as tissue stresses and strains in the brain, when subjected to external forces, such as violent impacts to the head. These parameters, which are difficult to measure experimentally, are then used to predict the risk of injury. The integration of imaging data with finite element models allows researchers to create realistic and personalized computational models by incorporating actual geometry and properties obtained from imaging techniques. The personalization of these models makes their forensic approach particularly interesting.
期刊介绍:
Legal Medicine provides an international forum for the publication of original articles, reviews and correspondence on subjects that cover practical and theoretical areas of interest relating to the wide range of legal medicine.
Subjects covered include forensic pathology, toxicology, odontology, anthropology, criminalistics, immunochemistry, hemogenetics and forensic aspects of biological science with emphasis on DNA analysis and molecular biology. Submissions dealing with medicolegal problems such as malpractice, insurance, child abuse or ethics in medical practice are also acceptable.