Forensic Imaging最新文献_第2页

Conversion to publication rate of abstracts presented at annual congresses of the International Society of Forensic Radiology and Imaging 国际法医放射学和成像学会年度会议上提出的摘要转换为出版率

IF 1 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2025-11-27 DOI: 10.1016/j.fri.2025.200661

G. de Heus , B.S. de Bakker , S.J. Decker , J. Elifritz , H. Hyodoh , F. Marttinen , C. O’Donnell , T.D. Ruder , M.J. Thali , R.R. van Rijn , ISFRI-IAFR congress consortium

Background

The International Society of Forensic Radiology and Imaging (ISFRI) aims to advance forensic radiology and imaging worldwide through its journal Forensic Imaging, formerly Journal of Forensic Radiology and Imaging, and annual congresses. A way to measure success and quality of research presented at these congresses is by assessing the abstract to publication conversion rate.

Objective

To evaluate the percentage of abstracts that were published and identify the journals in which they appeared.

Materials and methods

The publication rate of scientific abstracts from ISFRI and joint ISFRI and International Association of Forensic Radiographers (IAFR) congresses between 2012 and 2022 was determined. Searches were conducted in Pubmed, Google and Google Scholar, followed by manual checks of the table of contents of Journal of Forensic Radiology and Imaging and Forensic Imaging. Results were compared with conversion rates from radiological and nuclear imaging, and forensic medical studies in the Cochrane review by Scherer et al., supplemented with other relevant publications.

Results

Of 464 presented abstracts, 221 (47.6 %) were eventually published as full articles.

Most abstracts were original research 279 (60.1 %), followed by 99 (21.3 %) case reports, and 79 (17.0 %) reviews. Abstracts were published in a wide variety of journals, but the majority 52 (23.5 %) were published in the society’s own journal.

Conclusion

The conversion rate of the annual ISFRI and joint ISFRI and IAFR congresses was higher than other radiological societies, yet over 50 % of abstracts remains unpublished. Future research should explore reasons for non-publication to address these issues and increase the conversion rate.

国际法医放射学和成像学会（ISFRI）旨在通过其期刊《法医成像》（前身为《法医放射学和成像杂志》）和年度大会在全球范围内推进法医放射学和成像。衡量在这些大会上发表的研究的成功和质量的一种方法是评估摘要到出版物的转化率。目的评估摘要发表的百分比，并确定其发表的期刊。材料和方法确定2012 - 2022年ISFRI及ISFRI与国际法医放射技师协会（IAFR）联合大会的科学摘要发表率。在Pubmed、谷歌和谷歌Scholar中进行检索，然后人工查阅Journal of Forensic Radiology and Imaging和Forensic Imaging的目录。将结果与Scherer等人在Cochrane综述中的放射学和核成像以及法医研究的转化率进行比较，并辅以其他相关出版物。结果464篇摘要中，最终发表全文221篇（47.6%）。摘要以原创性研究279篇（60.1%）为主，其次是病例报告99篇（21.3%），综述79篇（17.0%）。摘要发表在各种各样的期刊上，但大多数（23.5%）发表在学会自己的期刊上。结论ISFRI年会及ISFRI与IAFR联合大会的转换率高于其他放射学会，但仍有超过50%的摘要未发表。未来的研究应该探索不发表的原因，以解决这些问题，提高转化率。

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引用次数: 0

Acute uterine inversion leading to maternal death: A case report based on autopsy examination 急性子宫内翻导致产妇死亡：基于尸检的一例报告

IF 1 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2025-11-24 DOI: 10.1016/j.fri.2025.200660

Merry Pal Kaur Chawla , Satinder Pal Singh , Akash Deep Aggarwal

Acute uterine inversion is a rare but potentially life-threatening obstetric complication characterized by the collapse of the uterine fundus into the endometrial cavity, sometimes extending through the cervix or vaginal canal. Although the exact etiology remains uncertain, several risk factors have been identified. Maternal mortality is extremely high unless the condition is recognized and corrected. We report a fatal case of acute uterine inversion in a primigravida woman following a normal vaginal delivery at a private hospital. The patient developed acute complications postpartum and died within h. A medico-legal postmortem revealed complete inversion of the uterine fundus, with hemorrhagic shock as the cause of death. This case highlights the importance of early recognition and management of uterine inversion to prevent maternal mortality.

急性子宫内翻是一种罕见但可能危及生命的产科并发症，其特征是子宫底塌陷进入子宫内膜腔，有时延伸到子宫颈或阴道管。虽然确切的病因尚不清楚，但已经确定了几个危险因素。除非这种情况得到承认和纠正，否则孕产妇死亡率极高。我们报告了一个致命的情况下，急性子宫内翻的原发妇女在一个私人医院正常阴道分娩。患者产后出现急性并发症，并在h内死亡。法医尸检显示子宫底完全内翻，死因是失血性休克。本病例强调早期识别和处理子宫内翻对预防产妇死亡的重要性。

引用次数: 0

Joint ISFRI/IAFR position statement-IMAGE Acquisition ISFRI/IAFR联合位置声明-图像采集

IF 1 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2025-11-21 DOI: 10.1016/j.fri.2025.200658

Edel Doyle, Fox Marttinen, Dr. Charlotte Primeau, Courtney Steels

The use of forensic imaging has increased over the past decade and includes radiography, dental radiography, fluoroscopy, CT, MRI and more recently, while still rarely used; micro-CT. Forensic imaging includes any diagnostic imaging modality used to answer a question of law, for both living as well as deceased individuals [1–3,7]. Imaging of the living is for purposes such as documenting trauma for cases such as assault and abuse, age assessment of juveniles and narcotic packing detection [7,10]. Post mortem imaging involves imaging of the deceased, most commonly used to understand circumstances surrounding death, establish the cause of death or confirm identification. As images may form part of evidence in a forensic case, imaging should be acquired by appropriately educated and trained practitioners who understand both the image acquisition process, as well as forensic practice, including all applicable legislation and guidelines in that jurisdiction [3]. For Disaster Victim Identification (DVI) purposes, the person undertaking the imaging procedures (i.e. the forensic imaging practitioner) should ideally be a forensic or DVI trained radiography specialist, or at least have appropriate training [6,8]. This position statement should be read in conjunction with the IAFR Guidelines for best practice: Principles for radiographers and imaging practitioners providing forensic imaging services [3].

在过去十年中，法医成像的使用有所增加，包括放射照相、牙科放射照相、荧光透视、CT、MRI和最近，虽然仍然很少使用；ct机。法医成像包括用于回答法律问题的任何诊断成像方式，既适用于生者，也适用于死者[1 - 3,7]。活体成像的目的是记录诸如攻击和虐待等案件的创伤，青少年的年龄评估和毒品包装检测[7,10]。尸检成像包括对死者进行成像，最常用于了解死亡周围的情况，确定死亡原因或确认身份。由于图像可能成为法医案件证据的一部分，图像的获取应由受过适当教育和训练的从业人员进行，他们既了解图像获取过程，也了解法医实践，包括该司法管辖范围内所有适用的立法和准则bbb。对于灾难受害者识别（DVI）而言，执行成像程序的人员（即法医成像从业人员）理想情况下应该是法医或受过DVI培训的放射学专家，或至少接受过适当的培训[6,8]。本立场声明应与IAFR最佳实践指南：提供法医成像服务的放射技师和成像从业人员的原则bbb一起阅读。

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引用次数: 0

Predictive models for nasal profile in forensic facial approximation: A study on Northwest Indian population 法医面部近似中鼻部轮廓的预测模型：西北印度人口的研究

IF 1 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2025-10-21 DOI: 10.1016/j.fri.2025.200657

Sushil Kumar Battan , Mohinder Sharma , Mandeep Garg , Paramjeet Singh , Tina Sharma , OP Jasuja

Objectives

Forensic facial approximation (FFA) is an essential tool in identifying human remains, especially when traditional methods such as DNA or fingerprint analysis are unavailable. This study investigates age and sex-based variations in nasal profiles to develop accurate predictive models for forensic facial approximation in a Northwest Indian population.

Materials and methods

A total of 417 subjects, aged 18 to 80 years (208 males and 209 females), were included. Nasal measurements were obtained from retrospective CT scan data, with analysis focusing on both soft and hard tissue variables. Descriptive statistics, multivariate regression, and discriminant function analysis (DFA) were employed to explore the relationship between nasal profile features and demographic variables.

Results

The results indicated significant differences in nasal profile dimensions between males and females, with males generally exhibiting larger nasal features. Strong correlations were found between nasal measurements and cranial landmarks, and multiple regression models demonstrated high predictive accuracy, particularly for nasal width and projection (adjusted R² values ranging from 0.68 to 0.80). DFA achieved an overall classification accuracy of 92.4% in the original dataset and 91.3% in cross-validation, highlighting the model’s strong generalizability.

Conclusion

The findings emphasize the importance of considering both age and sex in forensic facial approximation, with the developed models offering enhanced accuracy for identifying individuals based on nasal morphology. This study represents a significant advancement in the field of forensic science, providing valuable tools for human identification in forensic investigations.

目的法医面部近似法（FFA）是鉴定人类遗骸的重要工具，特别是在DNA或指纹分析等传统方法不可用的情况下。本研究调查了年龄和性别的鼻腔轮廓变化，以开发准确的预测模型，用于西北印度人口的法医面部近似。材料与方法共纳入417例受试者，年龄18 ~ 80岁，其中男性208例，女性209例。从回顾性CT扫描数据中获得鼻腔测量数据，并重点分析软组织和硬组织变量。采用描述性统计、多元回归和判别函数分析（DFA）探讨鼻廓特征与人口统计学变量之间的关系。结果男性和女性的鼻廓尺寸存在显著差异，男性普遍表现出较大的鼻廓。鼻腔测量值与颅骨标志之间存在很强的相关性，多元回归模型显示出很高的预测精度，特别是鼻腔宽度和投影（调整后的R²值范围为0.68至0.80）。DFA在原始数据集上的总体分类准确率为92.4%，在交叉验证中达到91.3%，突出了模型较强的泛化能力。结论研究结果强调了在法医面部近似中考虑年龄和性别的重要性，所开发的模型可以提高基于鼻形态识别个体的准确性。本研究是法医学领域的重大进展，为法医鉴定提供了有价值的工具。

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引用次数: 0

Height prediction using metacarpal lengths as measured on radiography in postmortem identification 利用胸片测量的掌骨长度预测死亡后鉴定的高度

IF 1 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2025-10-09 DOI: 10.1016/j.fri.2025.200655

Asan Petrus , Syafruddin Ilyas , Adang Bachtiar , Imam Budi Putra , Ahmad Yudianto

The incidence of disasters has increased significantly in Indonesia over the last two decades, necessitating accurate forensic identification methods to determine victims' identities, including estimating their height from metacarpal bone lengths, a metric for which no official formula yet exists in Indonesia. This study, an analytical correlational cross-sectional research conducted in North Sumatra from March to May 2024, involved 138 subjects and used cluster random sampling. Primary data, namely measurements of the length of the metacarpal bones obtained through computerized X- ray photos of the respondents' right and left palms connected to an X-ray machine, then the data was processed using SPSS software version 26. The statistical analysis methods used include normality tests, Pearson correlation tests, and linear regression tests. Findings showed a significance level (Sig) of 0.001 with a coefficient interval ranging from 0.438 to 0.756, indicating a moderate to strong correlation. A total of 63 new formulas for estimating height from metacarpal bones I-V were discovered, with the best predictors varying by gender and overall best involving multiple variables. This research provides a new set of formulas for estimating height from metacarpal lengths, applicable to the North Sumatran population.

在过去二十年中，印度尼西亚的灾害发生率显著增加，需要准确的法医鉴定方法来确定受害者的身份，包括根据掌骨长度估计他们的身高，这是印度尼西亚尚未存在的官方公式。本研究于2024年3月至5月在北苏门答腊进行了一项分析相关横断面研究，涉及138名受试者，采用整群随机抽样。原始数据，即通过连接X光机的计算机X光照片获得的掌骨长度测量，然后使用SPSS软件版本26对数据进行处理。统计分析方法包括正态性检验、Pearson相关检验和线性回归检验。结果显示显著性水平（Sig）为0.001，系数区间为0.438 ~ 0.756，表明相关性中至强。总共发现了63个从掌骨I-V估计身高的新公式，其中最好的预测因子因性别而异，总体上最好的预测因子涉及多个变量。本研究提供了一套新的根据掌骨长度估算身高的公式，适用于北苏门答腊种群。

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引用次数: 0

Sex estimation using machine learning algorithms and morphometric assessment of the sella turcica related parameters 性别估计使用机器学习算法和蝶鞍相关参数的形态计量学评估

IF 1 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2025-10-09 DOI: 10.1016/j.fri.2025.200654

Angela Graciela Deliga Schroder , Juliana Marodin Fauri Rotta , Rayane Délcia da Silva , Flares Baratto-Filho , Bianca Marques de Mattos de Araujo , Svenja Beisel-Memmert , Bianca Simone Zeigelboim , Karinna Veríssimo Meira Taveira , Natanael Henrique Ribeiro Mattos , Erika Calvano Küchler , Cristiano Miranda de Araujo

Sexual dimorphism refers to morphological differences between sexes, with parameters related to the sella turcica showing significant variations between males and females. This study aimed to evaluate the role of sella turcica parameters in sex prediction using machine learning algorithms. Lateral cephalometric radiographs from 470 patients were analyzed to measure sella turcica dimensions, including length, depth, diameter, anterior and posterior height, width, calcification type, and the sella-nasion and sella-ponticulus lines. Machine learning models—including Logistic Regression, Gradient Boosting, K-Nearest Neighbors, Support Vector Machine (SVM), Multilayer Perceptron, Decision Tree, AdaBoost, and Random Forest—were trained and validated using 5-fold cross-validation. Model performance was evaluated by area under the curve (AUC), accuracy, recall, precision, F1 score, and ROC curves. The linear distance between the sella and ponticulus was the most significant predictor across all models. Model AUC ranged from 0.85 (95 % CI: 0.78–0.90) in testing, with similar values in cross-validation, while precision reached 0.77 in testing and 0.78 in cross-validation. The SVM model achieved a balanced performance across all metrics. In conclusion, sella turcica parameters demonstrated sexual dimorphism when used as landmarks in two-dimensional lateral images. The predictive model showed strong capability, highlighting its potential as an auxiliary tool for forensic sex identification.

两性二态性是指两性之间的形态差异，蝶鞍相关参数在雌雄之间表现出显著差异。本研究旨在利用机器学习算法评估蝶鞍参数在性别预测中的作用。分析470例患者的侧位头颅x线片，测量蝶鞍的尺寸，包括长度、深度、直径、前后高度、宽度、钙化类型以及蝶鞍线和鞍-鞍线。机器学习模型——包括逻辑回归、梯度增强、k近邻、支持向量机（SVM）、多层感知器、决策树、AdaBoost和随机森林——使用5倍交叉验证进行训练和验证。通过曲线下面积（AUC）、准确率、召回率、精度、F1评分和ROC曲线来评价模型的性能。蝶鞍和蝶柄之间的线性距离是所有模型中最显著的预测因子。模型检验的AUC范围为0.85 (95% CI: 0.78 - 0.90)，交叉验证的值相似，而检验的精度达到0.77，交叉验证的精度达到0.78。支持向量机模型在所有指标上实现了平衡的性能。总之，蝶鞍参数在二维横向图像中作为标志时显示出性别二态性。该预测模型显示出强大的能力，突出了其作为法医性别鉴定辅助工具的潜力。

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引用次数: 0

UTooth: deep learning-based volumetric tooth segmentation from postmortem CT scans for forensic applications 牙齿：基于深度学习的尸体CT扫描的体积牙齿分割，用于法医应用

IF 1 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2025-10-09 DOI: 10.1016/j.fri.2025.200656

Gaetano Evangelista, Emily Hand

This paper introduces UTooth, a novel deep learning-based approach for au- tomatic dental segmentation from postmortem computed tomography (CT) scans for forensic applications. Dental analysis provides critical information for forensic identification, yet manual segmentation of teeth from CT vol- umes is prohibitively time-consuming. We present a solution using advanced artificial intelligence techniques to automatically segment and label teeth from postmortem imaging. Our approach initially focuses on canine teeth due to their forensic significance and distinct morphology. Using fifty-two CT scans from the New Mexico Decedent Image Database (NMDID), we demonstrate a three-phase process optimized for postmortem imaging con- ditions: radiodensity-based volumetric preprocessing, heuristic jaw isolation, and deep learning segmentation via a 3D U-Net architecture with Focal Tver-sky Loss optimization. UTooth achieves a mean Dice coefficient of 0.831 ± 0.061 across rigorous 10-fold cross-validation, with the best performing fold achieving 0.897, demonstrating strong accuracy in dental segmentation from standard-resolution postmortem CT scans. This represents an important advancement in forensic imaging, establishing foundational technology for automated dental analysis that can enhance biological profile development and victim identification processes. The approach establishes a framework for future expansion to full dental segmentation and automated forensic feature extraction.

本文介绍了一种新的基于深度学习的方法UTooth，用于法医应用的尸体计算机断层扫描（CT）自动分割牙齿。牙齿分析为法医鉴定提供了重要的信息，但是从CT图像中手工分割牙齿是非常耗时的。我们提出了一种解决方案，使用先进的人工智能技术来自动分割和标记死后成像的牙齿。我们的方法最初集中在犬齿由于他们的法医意义和独特的形态。利用来自新墨西哥州影像数据库（NMDID）的52个CT扫描，我们展示了一个针对死后成像条件进行优化的三阶段过程：基于放射密度的体积预处理、启发式颌骨隔离，以及通过具有Focal tversky Loss优化的3D U-Net架构进行深度学习分割。通过严格的10倍交叉验证，UTooth的平均Dice系数为0.831±0.061，其中表现最好的一倍达到0.897，证明了从标准分辨率的死后CT扫描中进行牙齿分割的高准确性。这代表了法医成像的重要进步，为自动牙科分析建立了基础技术，可以增强生物轮廓的发展和受害者识别过程。该方法为将来扩展到完整的牙齿分割和自动法医特征提取建立了框架。

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引用次数: 0

Application of multiphase post-mortem computed tomography angiography (MPMCTA) in a case of hemoptysis due to bronchopulmonary arterial fistula 多期死后计算机断层血管造影（MPMCTA）在支气管肺动脉瘘咯血中的应用

IF 1 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2025-10-08 DOI: 10.1016/j.fri.2025.200653

Anna Laura Santunione , Jessika Camatti , Giovanni Battinelli , Luca Alemanno , Giovanni Pizzuti , Pietro Torricelli , Rossana Cecchi

Bronchopulmonary arterial fistula (BPAF), an abnormal connection between the bronchus and the vascular tree, is a rare life-threatening condition whose clinical presentation is massive hemoptysis with high mortality rate. Here we present a case of fatal massive hemoptysis due to a BPAF in which the fistula was detected by postmortem imaging following the multiphase postmortem computed tomographic angiography (MPMCTA) protocol.

A 71-year-old man presented with an episode of persistent cough associated with profuse bleeding from the respiratory orifices, then lost consciousness and died. The subject was a heavy smoker and had complained of a persistent dry cough in the days before death. MPMCTA was performed, then autopsy and histological examination were carried out.

Postmortem imaging revealed the presence, at the left pulmonary hilum, of a lesion compatible with a, previously not detected, primary lung tumor, in the context of which MPMCTA documented a BPAF. Through postmortem imaging, a hepatic lesion, suggestive of a metastasis, was also observed. These findings were later confirmed by autopsy, and histologic examination allowed the diagnosis of primary lung tumor and liver metastasis.

The case presented here underscores the usefulness of postmortem angiography techniques in cases where vascular injury is hypothesized as the cause of death, especially if there are no radiological images performed during life. Indeed, these techniques allow to detect prior to anatomical dissection the acute vascular damage causative of death, any additional vascular abnormalities, as well as anatomical variants affecting the region where the vascular damage occurred.

支气管肺动脉瘘（BPAF）是一种罕见的危及生命的疾病，是支气管与血管树之间的异常连接，临床表现为大咯血，死亡率高。在这里，我们报告了一例由于BPAF导致的致命大咯血，在多阶段尸检计算机断层血管造影（MPMCTA）协议下，通过尸检成像检测到瘘管。1例71岁男性患者出现持续咳嗽并伴有呼吸道大量出血，随后失去意识死亡。受试者烟瘾很大，死前曾抱怨持续干咳。行MPMCTA检查，然后进行尸检和组织学检查。尸检影像显示，在左肺门有一个病变，与先前未检测到的原发性肺肿瘤一致，MPMCTA记录了BPAF。通过死后成像，还观察到肝脏病变，提示转移。这些发现后来被尸检证实，组织学检查允许诊断原发性肺肿瘤和肝转移。本病例强调了死后血管造影技术在假设血管损伤为死亡原因的情况下的有用性，特别是在生命中没有放射图像的情况下。事实上，这些技术允许在解剖解剖之前检测导致死亡的急性血管损伤，任何额外的血管异常，以及影响血管损伤发生区域的解剖变异。

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引用次数: 0

ISFRI Education Working Group: competencies and training requirements for reporting and interpretation of adult forensic post-mortem imaging ISFRI教育工作组：报告和解释成人法医死后成像的能力和培训要求

IF 1 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2025-09-18 DOI: 10.1016/j.fri.2025.200652

Chris O’Donnell , Guy Rutty , Yohsuke Makino , Michael Thali , Wolf Schweitzer , Ante Marusic , Yanko Kolev , Hideki Hyodoh , Jamie Elifritz , Garyfalia Ampanozi , Carlo Tappero , Bart G. H. Latten , Rathachai Kaewlai , members of the ISFRI education working group

引用次数: 0

Sex Estimation Through External Occipital Protuberance Morphology: A CT Scan Study in Northwest India 通过枕外突形态判断性别：印度西北部的CT扫描研究

IF 1 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2025-09-09 DOI: 10.1016/j.fri.2025.200649

Mohinder Sharma , Sushil Kumar Battan , Mandeep Garg , Paramjeet Singh , Tina Sharma

Objectives

This study aims to evaluate the types, prevalence, and forensic utility of external occipital protuberance (EOP) morphology for sex estimation in a Northwest Indian population using computed tomography (CT) imaging.

Materials and Methods

CT scan data of 331 adult individuals (167 males, 164 females), aged 18 to 75 years, were analyzed. EOP morphology was classified into three distinct types: Type 1, Type 2, and Type 3. Morphometric measurements—including total EOP length (TEOP) and angle at apex of EOP (AAEOP)—were obtained using the Radiant DICOM Viewer. Statistical analysis, including discriminant function analysis, was employed to assess the predictive accuracy of EOP features for sex estimation.

Results

The analysis revealed significant sexual dimorphism in EOP morphology. Type 1 was more frequent in females (33.8%), while Type 3 was more common in males (38.3%). Male individuals showed greater EOP thickness and more pronounced cranial landmarks such as the superior and inferior nuchal lines and the external occipital crest. Discriminant function analysis yielded an overall sex estimation accuracy of 89.4%, with higher classification rates in older age groups. Among the variables, TEOP and AAEOP were the most reliable predictors, achieving classification accuracies of 81.9% and 76.1%, respectively.

Conclusion

EOP morphology demonstrates clear sexual dimorphism and proves to be a reliable indicator for sex estimation in the studied Northwest Indian population. The high classification accuracy, particularly in older age groups, supports the integration of EOP-based assessment into forensic protocols. This study highlights the importance of population-specific data and encourages further research on cranial features in underrepresented regions to enhance forensic identification methods.

目的：本研究旨在利用计算机断层扫描（CT）评估西北印度人群中枕外隆突（EOP）形态学在性别估计中的类型、流行程度和法医应用。材料与方法对年龄在18 ~ 75岁的331例成人（男性167例，女性164例）的ct扫描数据进行分析。EOP形态分为三种不同的类型：1型、2型和3型。形态学测量-包括EOP总长度（TEOP）和EOP顶点角度(AAEOP) -使用Radiant DICOM Viewer获得。采用统计分析，包括判别函数分析，评估EOP特征对性别估计的预测准确性。结果EOP形态存在明显的性别二态性。1型多见于女性（33.8%），3型多见于男性（38.3%）。男性个体表现出更大的EOP厚度和更明显的颅标志，如上、下颈线和枕外嵴。判别函数分析的总体性别估计准确率为89.4%，在年龄较大的年龄组中分类率较高。其中，TEOP和AAEOP是最可靠的预测因子，分类准确率分别为81.9%和76.1%。结论eop形态学表现出明显的性别二态性，可作为西北印第安人性别估计的可靠指标。高分类准确性，特别是在老年群体中，支持将基于eop的评估整合到法医协议中。本研究强调了人口特异性数据的重要性，并鼓励在代表性不足的地区进一步研究颅骨特征，以提高法医鉴定方法。

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引用次数: 0