Forensic Imaging最新文献

3D dental images in forensic odontology: A scoping review of superimposition approaches utilizing 3D imaging

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2024-12-28 DOI: 10.1016/j.fri.2024.200622

Harry Perkins , Thao Liang Chiam , Alex Forrest , Denice Higgins

Background

Forensic odontology is crucial for human identification, especially in disaster scenarios, using comparisons between antemortem and postmortem dental data. Advances in 3D imaging have shifted practices from traditional 2D methods to 3D superimposition techniques, necessitating a comprehensive review. This scoping review maps current 3D superimposition methodologies in forensic odontology, focusing on key processes, sources of error, and research gaps.

Methods

We used Arksey and O'Malley's framework, searching PubMed, Embase, Scopus, and DOSS for studies from January 2017. Search strategies incorporated MeSH and Emtree terms, Boolean operators, and truncations. Inclusion criteria required studies to utilize 3D superimposition techniques for comparing dental imaging, with exclusions for 2D imaging, non-forensic focus, and inaccessible texts. Data were extracted on anatomical features, imaging techniques, methods, and outcomes.

Results

From 545 records, 20 studies met inclusion criteria. Most employed surface-based superimposition. Methodologies varied widely, with inconsistent software use and a lack of standardization. Root Mean Square (RMS) values were commonly used to assess alignment, but thresholds differed significantly across studies. Key challenges include operator variability and limited access to affordable software.

Conclusions

The rapid advancement of 3D imaging in forensic odontology highlights the need for standardized methods. While surface-based techniques are promising, establishing uniform benchmarks and developing open-source tools are crucial for improving reliability and global adoption.

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引用次数: 0

Development of automatic 3D model comparison (ModelMatch3D) for forensic identification and testing using odontology data

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2024-12-28 DOI: 10.1016/j.fri.2024.200621

Jiwon Choi , Seongwon Choi , Arthur Porto , Harry Perkins , Sanmarié Schlebusch , Denice Higgins , Ove A. Peters , Christine I. Peters , Alex Forrest

Three-dimensional (3D) imaging techniques including radiographic and optical surface scans are used in many medical fields including dentistry. Comparison of the resulting antemortem (AM) and postmortem (PM) data has been limited, partly due to the absence of specialised, affordable software. To address this gap, we introduce ModelMatch3D, an open-source software built upon the established 3D Slicer platform, designed to automate general 3D comparison tasks and enable rapid comparison of 3D surface data. It requires minimal preparation of datasets prior to use.

ModelMatch3D was evaluated using de-identified 3D dental scans sourced from a collection at the University of Adelaide. Dental data was selected due to its recognised importance as one of the three major identifiers by INTERPOL. Although we tested it with dental data, it can be applied to any 3D surface datasets of distinctive shape, extending its utility beyond forensic science.

ModelMatch3D runs on all major operating systems ensuring wide accessibility. It runs well on lower-end systems without discrete graphics capability. Its broad compatibility and minimal computing requirements enable its deployment in diverse forensic environments, providing an easy-to-use, automated method for rapid comparison and where multiple victims are involved, ranking of matches for subsequent expert inspection.

Technically, ModelMatch3D employs advanced algorithms for point cloud processing and feature extraction which enable rapid handling of substantial databases with no need for preprocessing.

We believe that ModelMatch3D fills a gap in forensic identification and opens avenues for comparison of other hard tissues and structures, providing a robust platform for enhancing computational forensics.

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引用次数: 0

Correlation between epicardial fat volume and postmortem radiological and autopsy findings in cases of sudden death: A pilot study

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2024-12-23 DOI: 10.1016/j.fri.2024.200620

Jessika Camatti , Anna Laura Santunione , Stefano Draisci , Drago Antonella , Maria Grazia Amorico , Guido Ligabue , Enrico Silingardi , Pietro Torricelli , Rossana Cecchi

Epicardial fat volume (EFV) has recently been recognized as a good predictor of multivessel coronary artery disease, and the Coronary Artery Calcium Score (CACS) is a parameter that estimates the amount of calcium in the coronary tree. Both of these parameters can be assessed non-invasively by cardiac computed tomography. Previous studies have investigated a correlation between autopsy results and radiologically calculated EFV and CACS.

The present study aims to investigate a correlation between EFV and other radiological (CACS and the presence of coronary artery opacification defects on Multi-Phase Post-Mortem Computed Tomography Angiography (MPMCTA)) and autoptic (presence of coronary stenosis) findings, in order to verify whether EFV can be considered a good predictor of radiological and autoptic coronary findings.

A cohort of 21 subjects who died suddenly was examined. Firstly, MPMCTA was performed, then autopsy was carried out. EFV and CACS were radiologically calculated, the detection of opacification defects on MPMCTA was investigated and the presence of coronary stenoses on autopsy was assessed.

21 deceased individuals (51 ± 10,77 years; 19 men) were evaluated. Statistically significant correlations were found between levels of EFV > 125 mL (cut-off indicated for prognostic risk stratification) and CACS > 0 (signifying the presence of coronary calcifications), opacification defects on MPMCTA, and coronary stenosis on autopsy.

The volume of the epicardial fat, detected radiologically, is a promising additional tool in the assessment and risk stratification for sudden death. Further research is needed to better explore the application of radiologically calculated EFV in cases of sudden death.

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引用次数: 0

Chronological age estimation for medico-legal expertise-based on sternoclavicular joint CT images using a deep neural network

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2024-12-20 DOI: 10.1016/j.fri.2024.200619

Chang Sun , Yazdan Salimi , Isaac Shiri , Coraline Egger , Pia Genet , Habib Zaidi , Sana Boudabbous

The aim of this study was to develop and validate fully automated deep learning models to estimate chronological age from sternoclavicular CT images to help forensic age estimation and understand its limitations. A total of 742 whole-body CT and 164 pediatric chest-abdomen-pelvis CT scans (age: 1–60y, 437 m and 469f) were collected as a training dataset. A deep learning pipeline was implemented to segment the clavicle volume of interest, train an age estimation model, and finally fine-tune the network. The predictive performance of nine deep learning models was assessed and compared using 5-fold cross-validation. A transfer learning experiment was designed to evaluate the generalizability of the pre-trained models, using a fine-tuning group (age: 15–35y, 6 m and 4f) and a validation group (age: 16–35y, 6 m and 4f). Clinical age assessment based on clavicle bone was conducted on 5 thorax CT scans (4 m and 1f, age: 16–32y) and 5 sternoclavicular joint CT scans (unknown age) by one radiologist and two forensic pathologists. The intra- and inter-observer agreement of experts was assessed. A mean absolute error (MAE) of 4.23 ± 4.49 years, an area under the receiver operating characteristic (AUC) of 0.99 for age classification (

> 14

years and

> 18

years) and an accuracy of 0.97 for classification of ossification stages were achieved in the cross-validation. An MAE of 3.30 ± 3.58 years and an accuracy of 0.90 for ossification stage classification were achieved after fine-tuning. The three experts disagreed on the images that met the diagnostic requirements in 2 cases. Intra-observer agreement varied between experts. This study concluded that a fully automated deep neural network, employing a transfer learning strategy, exhibits potential for estimating chronological age from clavicular CT images.

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引用次数: 0

Unveiling the diagnostic accuracy of PMCT: Detection of pneumonia considering postmortem changes and time intervals 揭示PMCT诊断的准确性：考虑死后变化和时间间隔的肺炎检测

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2024-11-20 DOI: 10.1016/j.fri.2024.200617

Max G. Mentink , Bartholomeus G.H. Latten , Frans C.H. Bakers , Casper Mihl , Lisa M. Hillen , Paul A.M. Hofman

Purpose

Postmortem CT (PMCT) faces challenges in assessing lung parenchyma due to images being acquired in expiratory state, leading to varying severity of pulmonary edema redistribution with gravity-dependent attenuation ranging from ground glass to full opacification. This retrospective study assessed the effect of gravity-dependent attenuation and the postmortem time interval (PTI) on the diagnostic accuracy of PMCT for detecting acute pneumonia.

Materials and methods

Deceased patients who underwent PMCT and autopsy were included. Consensus evaluations by two radiologists and two pathologists re-examined images and histological samples of separate lung lobes. Scores were assigned for radiological and histological findings, including the presence of acute pneumonia, gravity-dependent attenuation severity, and pulmonary edema. PTI was calculated and correlated with gravity-dependent attenuation severity. Crosstabs were created to calculate diagnostic parameters.

Results

Fifty-seven patients were included, with four excluded and 44 fully opacified lung lobes. 168 lung lobes remained for analysis. The average PTI was 22 hours and 47 min. A weak correlation was observed between PTI and gravity-dependent attenuation severity (τb = 0.125, p = 0.016). Acute pneumonia prevalence was 24,4 %, with sensitivity and specificity of PMCT for all lung lobes at 31,71 % and 85,83 %, respectively. PMCT performed better in subgroups with none or slight gravity-dependent attenuation and in patients scanned within 16 hours after death.

Conclusion

Interpretation of lung parenchyma with PMCT is challenging. Statistical power was limited due to a limited sample size. PMCT is more suited for excluding acute pneumonia than detecting its presence. Prolonging PTI should be avoided, as increasing gravity-dependent attenuation severity over time limits PMCT sensitivity.

尸检CT （PMCT）在评估肺实质时面临挑战，因为图像是在呼气状态下获得的，导致肺水肿重分布的严重程度不同，伴有重力依赖性衰减，从磨玻璃到完全浑浊。本回顾性研究评估重力依赖性衰减和死后时间间隔（PTI）对PMCT诊断急性肺炎准确性的影响。材料与方法采用PMCT和尸检的死亡患者为研究对象。两名放射科医生和两名病理学家的一致评估重新检查了不同肺叶的图像和组织学样本。对影像学和组织学结果进行评分，包括急性肺炎、重力依赖性衰减严重程度和肺水肿的存在。计算PTI并与重力相关衰减严重程度相关。建立交叉表来计算诊断参数。结果纳入57例，排除4例，肺叶完全混浊44例。168个肺叶留作分析。平均PTI为22 h 47 min。PTI与重力相关衰减严重程度呈弱相关（τb = 0.125, p = 0.016）。急性肺炎患病率为24.4%，PMCT对所有肺叶的敏感性和特异性分别为31.71%和85.83%。PMCT在无重力依赖性衰减或轻微重力依赖性衰减的亚组和死后16小时内扫描的患者中表现更好。结论PMCT对肺实质的解释具有挑战性。由于样本量有限，统计效力有限。PMCT更适合于排除急性肺炎，而不是检测其存在。应避免延长PTI，因为随时间增加的重力依赖性衰减严重程度限制了PMCT的灵敏度。

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引用次数: 0

Cranial surgical approaches in the 21st Century Identified Skeletal Collection 21 世纪的颅骨外科手术方法已鉴定的骨骼藏品

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2024-11-20 DOI: 10.1016/j.fri.2024.200616

Maria Teresa Ferreira , Catarina Coelho , Rosa Ramos Gaspar , Daniela P. de Matos , Ricardo Pereira , Eugénia Cunha , Inês Oliveira-Santos

In Forensic Anthropology, identification is comparing information from a person whose fate and whereabouts are unknown with data from a person who is present but whose identity is unknown. The rarer and more distinctive the characteristics observed during the anthropological investigation, the greater the probability of reaching an identification. Taking this into account, cranial surgeries can be considered good individualization factors. The cases of skulls with lesions compatible with surgical procedures from the 21st Century Identified Skeletal Collection are presented, and their identification potential is discussed. This collection comprises 302 adult individuals, of which four females (aged 55 to 94 years) and four males (aged 67 to 92 years) present cranial lesions of surgical origin. The results of the macroscopic and imaging analyses (conventional x-rays and CTs) are presented, along with a detailed description and location of each lesion. In five cases there is clear evidence of bone remodelling. This research, which combines anthropological analysis with imaging and neurosurgical insights, demonstrates the importance of correctly interpreting these lesions, illustrating how important is a complete and interdisciplinary analysis for forensic expertise.

在法医人类学中，辨认是将命运和下落不明者的信息与在场但身份不明者的数据进行比较。在人类学调查过程中观察到的特征越罕见、越独特，达成鉴定的可能性就越大。考虑到这一点，颅骨手术可被视为很好的个体化因素。本文介绍了 "21 世纪已确认骸骨收藏 "中带有与外科手术相符的病变的头骨案例，并讨论了它们的鉴定潜力。该收藏包括 302 个成年个体，其中四名女性（55 至 94 岁）和四名男性（67 至 92 岁）的颅骨病变源于外科手术。本文介绍了宏观和成像分析（传统 X 光和 CT）的结果，以及每个病变的详细描述和位置。在五个病例中，有明确的骨重塑证据。这项研究将人类学分析与影像学和神经外科见解相结合，证明了正确解释这些病变的重要性，说明了完整的跨学科分析对于法医专业知识的重要性。

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引用次数: 0

Closed iris, long exposure photography improves three-dimensional photogrammetric bone reconstructions 闭合虹膜长曝光摄影改进了三维摄影测量骨骼重建

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2024-11-20 DOI: 10.1016/j.fri.2024.200618

Emma C. Klein, Jasmine C. Feddema, Loren Z.F. Chiu

Three-dimensional (3D) photogrammetry is being increasingly used for digital reconstruction of physical objects. There has been limited investigation on how picture quality influences 3D photogrammetric reconstructions. The purpose of this research was to experimentally compare reconstructions generated from images taken with larger versus smaller iris openings. Four cadaveric feet (2 left and 2 right) from 2 cadavers were dissected, removing skin, fascia, and muscles. Pictures were taken with the feet placed upright on a turntable. For each foot, 24 pictures were taken at f/3.2 (open iris) and f/11 (closed iris), with respective exposure time and ISO determined using a photography light meter. Bones were digitally reconstructed and the talar dome was visually compared between open versus closed iris reconstructions. Closed iris reconstructions more accurately represented the talar dome, for example having gradual and smooth curved transition between the top surface and the medial and lateral sides. Open iris reconstructions had greater distortion, such as sharp, bulging edges on these transitions. To increase the quality of 3D photogrammetric digital reconstructions, a closed iris, restricting only focused light to pass through the camera's iris to the sensor is recommended. Using a closed iris may be particularly important for bone surfaces covered with hyaline cartilage.

三维（3D）摄影测量越来越多地用于实物的数字重建。关于图片质量如何影响三维摄影测量重建的研究还很有限。这项研究的目的是通过实验比较由虹膜开口较大和较小的图像生成的重建结果。解剖了两具尸体的四只脚（两只左脚和两只右脚），去除皮肤、筋膜和肌肉。将脚直立放在转盘上进行拍照。每只脚分别以 f/3.2（打开光圈）和 f/11（关闭光圈）拍摄 24 张照片，并使用摄影测光表确定各自的曝光时间和 ISO。对骨骼进行数字重建，并目测比较开放式和封闭式光圈重建的距骨穹顶。封闭式虹膜重建更准确地表现了距骨穹隆，例如，顶面与内侧和外侧之间有渐进、平滑的曲线过渡。而开放式虹膜重建则有更大的失真，例如在这些过渡处有尖锐、隆起的边缘。为了提高三维摄影测量数字重建的质量，建议使用封闭式光圈，只允许聚焦光通过相机光圈进入传感器。对于覆盖着透明软骨的骨骼表面，使用封闭光圈可能尤为重要。

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引用次数: 0

Exploring lightweight convolution neural networks for segmenting striation marks from firearm bullet images 探索从枪支子弹图像中分割条纹痕迹的轻量级卷积神经网络

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2024-11-13 DOI: 10.1016/j.fri.2024.200611

Genevieve Chyrmang , Barun Barua , Kangkana Bora , R. Suresh

In the field of forensic ballistic science, the identification of firearms is accomplished by examining the class and individual distinctive marks of fired bullets or cartridge casings instances discovered at the crime scene. The distinctive striation mark, which is engraved on bullets by gun barrels while firing owing to rifling, is one of the important characteristics examined. These striation marks serve as “fingerprints” of firearms. However, manual identification is time-consuming and arduous, necessitating the need for automation. This study focuses on automating striation mark segmentation using novel lightweight deep-learning segmentation models. The motivation behind this study is two-fold: first to assess if lightweight models can replace larger models without sacrificing accuracy and secondly to leverage their efficiency for resource-limited hardware, paving the way for real-time solutions. Proposed models include Mobile Striation-Net (MSN), Attention Gatted MobileStriation-Net (AMSN), Depthwise Attention Gatted Mobile Striation-Net (D-AMSN), and two derivatives of it, which are a pruned version and a quantized variant named PD-AMSN and QD-AMSN respectively. Extensive evaluation of models includes metrics Accuracy, Dice coefficient, Intersection over Union (IOU), Precision, and Recall. A thorough comparative analysis takes into account all models based on parameter counts, frames per second, inference time, and size. Findings shows, all models attains above 95% Accuracy. Dice coefficient and IOU ranges from 0.48 to 0.54 & 0.59 to 0.6 respectively. Precision and Recall consistently range between 63.42% to 64.26% and 73.6% to 77.68% respectively. The “Pruned” variant PD-AMSN performs notably better across metrics than the D-AMSN model demonstrating effective pruning. On the other hand, quantized QD-AMSN have only 6 MB size and 95.42% accuracy. Our models are positioned as forerunners in terms of lightweight design, attention gate integration, decreased parameter counts, and improved accuracy when compared to other previous models. The effectiveness of our models for segmentation tasks and their potential for developing into a portable, real-time automated striation mark segmentation systems in the future, are highlighted through the in-depth analysis.

在法医弹道学领域，枪支的鉴定是通过检查在犯罪现场发现的已发射子弹或弹壳实例的类别和个别独特标记来完成的。由于膛线的原因，枪管在发射时会在子弹上刻下明显的条纹痕迹，这是检查的重要特征之一。这些条纹可作为枪支的 "指纹"。然而，人工识别既费时又费力，因此有必要实现自动化。本研究的重点是利用新型轻量级深度学习分割模型实现条纹标记分割的自动化。这项研究的动机有两个方面：首先是评估轻量级模型是否能在不牺牲准确性的情况下取代大型模型，其次是利用其效率来解决硬件资源有限的问题，为实时解决方案铺平道路。提出的模型包括移动条纹网（MSN）、注意力锁定移动条纹网（AMSN）、深度注意力锁定移动条纹网（D-AMSN）及其两个衍生模型，即剪枝版本和量化变体，分别命名为 PD-AMSN 和 QD-AMSN。对模型的广泛评估包括准确度、骰子系数、联合交叉（IOU）、精确度和召回率等指标。全面的比较分析考虑了所有基于参数计数、每秒帧数、推理时间和大小的模型。结果表明，所有模型的准确率都在 95% 以上。骰子系数和 IOU 分别为 0.48 至 0.54 & 0.59 至 0.6。精确度和召回率分别为 63.42% 至 64.26% 和 73.6% 至 77.68%。与 D-AMSN 模型相比，"剪枝 "变体 PD-AMSN 在各项指标上的表现明显更好，这表明剪枝工作非常有效。另一方面，量化 QD-AMSN 只有 6 MB 大小，准确率却高达 95.42%。与之前的其他模型相比，我们的模型在轻量级设计、关注门集成、减少参数数量和提高准确性方面都处于领先地位。通过深入分析，我们强调了我们的模型在分割任务中的有效性，以及未来发展成为便携式实时自动条纹标记分割系统的潜力。

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引用次数: 0

Age estimation based on sternebral fusion in a sample of Egyptian population using three-dimensional computed tomography scanning 利用三维计算机断层扫描技术，根据埃及人口样本的胸骨融合度估算年龄

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2024-11-10 DOI: 10.1016/j.fri.2024.200613

Mona M. Ghonem , Basma S. Eldeeb , Ashraf M. Elaggan , Heba I. Lashin

Objectives

Age estimation is a critical medico-legal issue in forensic medicine and sternebral fusion is recently supposed to be a helpful tool. Multidetector computed tomography (MDCT) scanning could provide three-dimensional (3D) imaging of the sternebral fusion. This study aimed to develop age estimation models based on the sternebral fusion state using MDCT scanning in a sample of Egyptians.

Material and Methods

The study included thoracic MDCT images of 261 Egyptians. The stage of sternebral fusion was evaluated in the 3D reconstructed images generated using Vitrea® software. Fusion between sternebrae 1&2, sternebrae 2&3, and sternebrae 3&4 were staged as non-fusion, partial fusion, and complete fusion. Scores 1, 2, and 3 were given to the three stages, respectively and their sum was the total sternebral fusion score.

Results

Significant positive correlations were observed between all sternebral fusions and the participants’ chronological age. Stages of sternebral fusion significantly contributed to age estimation using simple and multiple linear regression models (P < 0.001 for each). Using calibration curves, the total sternebral fusion score and the multivariate models had the best performance to predict the chronological age. At cut-off > 6, total sternebral fusion score was an excellent predictor for the age of 18 with areas under the curve = 0.943 and 0.952, in females and males respectively.

Conclusion

The developed models based on sternebral fusion stages can be used for forensic age estimation in the studied Egyptian sample. A total sternebral fusion score > 6 efficiently distinguished those aged 18 years.

目标年龄估算是法医学中一个关键的医学法律问题，而最近的研究认为立体骨融合是一种有用的工具。多载体计算机断层扫描（MDCT）可提供立体（3D）成像。本研究旨在通过对埃及人样本进行 MDCT 扫描，根据其胸骨融合状态建立年龄估计模型。使用 Vitrea® 软件生成的三维重建图像对胸骨融合的阶段进行了评估。胸骨 1&2、胸骨 2&3 和胸骨 3&4 之间的融合分为未融合、部分融合和完全融合。结果发现，所有立体骨融合与受试者的实际年龄呈显著正相关。使用简单和多元线性回归模型（各模型的 P 均为 0.001）进行年龄估算时，各阶段的立体骨融合均有明显作用。利用校正曲线，胸骨融合总分和多元模型在预测实际年龄方面表现最佳。在截断值为 6 时，女性和男性的胸骨融合总分曲线下面积分别为 0.943 和 0.952，是预测 18 岁的最佳指标。胸骨融合总分大于 6 分可有效区分 18 岁人群。

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引用次数: 0

Flaring up the mesentery: Applying the LODOX eXero-DR® statscan for expedited postmortem angiography. 翻开肠系膜：应用 LODOX eXero-DR® statscan 快速进行死后血管造影。

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Forensic Imaging

Pub Date : 2024-11-09 DOI: 10.1016/j.fri.2024.200614

Zandré Smith , Elrinda de Bruin , Ilze Mentoor , Janette Verster

Rationale

The affordable LODOX eXero-DR® statscan aids Forensic Pathologists in resource-constrained settings. Post-mortem angiography using LODOX eXero-DR® assists in detecting vascular pathology, therefore enhancing routine autopsies.

Objective

Demonstrating the feasibility of performing postmortem angiography using the LODOX eXero-DR® statscan.

Methods

We present a case of a 63-year-old male with follicular lymphoma who experienced small bowel perforation 11 days after a mesenteric lymph node biopsy.

Results

A post-mortem examination confirmed lymphadenopathy and bowel perforation, prompting an investigation into the underlying cause. During the post-mortem, the mesentery was excised, exposing the Superior Mesenteric Artery origin. Contrast medium was injected into the artery using a Foley catheter in 5 ml increments, followed by LODOX eXero-DR® imaging. This process was repeated five times, pinpointing the vascular obstruction site. Angiography with LODOX eXero-DR® yielded vital information, aiding pathology identification and record creation.

Conclusion

This case demonstrates the potential of angiography with emerging technologies, assisting countries lacking access to PMCT angiography. Notably, this represents the inaugural documentation of LODOX eXero-DR® statscan use in post-mortem angiography.

理由经济实惠的 LODOX eXero-DR® statscan 扫描仪可在资源有限的环境中为法医病理学家提供帮助。使用 LODOX eXero-DR® 进行死后血管造影有助于检测血管病变，从而提高常规尸检的效率。方法我们展示了一例患有滤泡性淋巴瘤的 63 岁男性病例，他在肠系膜淋巴结活检 11 天后出现小肠穿孔。在尸检过程中，切除了肠系膜，露出了肠系膜上动脉源头。使用 Foley 导管将造影剂以 5 毫升为单位注入动脉，然后进行 LODOX eXero-DR® 成像。此过程重复五次，准确定位血管阻塞部位。使用 LODOX eXero-DR® 进行血管造影获得了重要信息，有助于病理鉴定和建立病历。值得注意的是，这是 LODOX eXero-DR® statscan 首次用于尸检血管造影。

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引用次数: 0