Forensic Imaging最新文献

{"title":"3D dental images in forensic odontology: A scoping review of superimposition approaches utilizing 3D imaging","authors":"Harry Perkins ,&nbsp;Thao Liang Chiam ,&nbsp;Alex Forrest ,&nbsp;Denice Higgins","doi":"10.1016/j.fri.2024.200622","DOIUrl":"10.1016/j.fri.2024.200622","url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"40 ","pages":"Article 200622"},"PeriodicalIF":0.8,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of automatic 3D model comparison (ModelMatch3D) for forensic identification and testing using odontology data","authors":"Jiwon Choi ,&nbsp;Seongwon Choi ,&nbsp;Arthur Porto ,&nbsp;Harry Perkins ,&nbsp;Sanmarié Schlebusch ,&nbsp;Denice Higgins ,&nbsp;Ove A. Peters ,&nbsp;Christine I. Peters ,&nbsp;Alex Forrest","doi":"10.1016/j.fri.2024.200621","DOIUrl":"10.1016/j.fri.2024.200621","url":null,"abstract":"<div><div>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.</div><div>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.</div><div>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.</div><div>Technically, ModelMatch3D employs advanced algorithms for point cloud processing and feature extraction which enable rapid handling of substantial databases with no need for preprocessing.</div><div>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.</div></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"40 ","pages":"Article 200621"},"PeriodicalIF":0.8,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlation between epicardial fat volume and postmortem radiological and autopsy findings in cases of sudden death: A pilot study","authors":"Jessika Camatti ,&nbsp;Anna Laura Santunione ,&nbsp;Stefano Draisci ,&nbsp;Drago Antonella ,&nbsp;Maria Grazia Amorico ,&nbsp;Guido Ligabue ,&nbsp;Enrico Silingardi ,&nbsp;Pietro Torricelli ,&nbsp;Rossana Cecchi","doi":"10.1016/j.fri.2024.200620","DOIUrl":"10.1016/j.fri.2024.200620","url":null,"abstract":"<div><div>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.</div><div>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.</div><div>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.</div><div>21 deceased individuals (51 ± 10,77 years; 19 men) were evaluated. Statistically significant correlations were found between levels of EFV &gt; 125 mL (cut-off indicated for prognostic risk stratification) and CACS &gt; 0 (signifying the presence of coronary calcifications), opacification defects on MPMCTA, and coronary stenosis on autopsy.</div><div>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.</div></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"40 ","pages":"Article 200620"},"PeriodicalIF":0.8,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chronological age estimation for medico-legal expertise-based on sternoclavicular joint CT images using a deep neural network","authors":"Chang Sun ,&nbsp;Yazdan Salimi ,&nbsp;Isaac Shiri ,&nbsp;Coraline Egger ,&nbsp;Pia Genet ,&nbsp;Habib Zaidi ,&nbsp;Sana Boudabbous","doi":"10.1016/j.fri.2024.200619","DOIUrl":"10.1016/j.fri.2024.200619","url":null,"abstract":"<div><div>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 (<span><math><mrow><mo>&gt;</mo><mn>14</mn></mrow></math></span> years and <span><math><mrow><mo>&gt;</mo><mn>18</mn></mrow></math></span> 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.</div></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"40 ","pages":"Article 200619"},"PeriodicalIF":0.8,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling the diagnostic accuracy of PMCT: Detection of pneumonia considering postmortem changes and time intervals","authors":"Max G. Mentink ,&nbsp;Bartholomeus G.H. Latten ,&nbsp;Frans C.H. Bakers ,&nbsp;Casper Mihl ,&nbsp;Lisa M. Hillen ,&nbsp;Paul A.M. Hofman","doi":"10.1016/j.fri.2024.200617","DOIUrl":"10.1016/j.fri.2024.200617","url":null,"abstract":"<div><h3>Purpose</h3><div>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.</div></div><div><h3>Materials and methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"40 ","pages":"Article 200617"},"PeriodicalIF":0.8,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cranial surgical approaches in the 21st Century Identified Skeletal Collection","authors":"Maria Teresa Ferreira ,&nbsp;Catarina Coelho ,&nbsp;Rosa Ramos Gaspar ,&nbsp;Daniela P. de Matos ,&nbsp;Ricardo Pereira ,&nbsp;Eugénia Cunha ,&nbsp;Inês Oliveira-Santos","doi":"10.1016/j.fri.2024.200616","DOIUrl":"10.1016/j.fri.2024.200616","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"40 ","pages":"Article 200616"},"PeriodicalIF":0.8,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Closed iris, long exposure photography improves three-dimensional photogrammetric bone reconstructions","authors":"Emma C. Klein,&nbsp;Jasmine C. Feddema,&nbsp;Loren Z.F. Chiu","doi":"10.1016/j.fri.2024.200618","DOIUrl":"10.1016/j.fri.2024.200618","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"39 ","pages":"Article 200618"},"PeriodicalIF":0.8,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring lightweight convolution neural networks for segmenting striation marks from firearm bullet images","authors":"Genevieve Chyrmang ,&nbsp;Barun Barua ,&nbsp;Kangkana Bora ,&nbsp;R. Suresh","doi":"10.1016/j.fri.2024.200611","DOIUrl":"10.1016/j.fri.2024.200611","url":null,"abstract":"<div><div>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 &amp; 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.</div></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"39 ","pages":"Article 200611"},"PeriodicalIF":0.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Age estimation based on sternebral fusion in a sample of Egyptian population using three-dimensional computed tomography scanning","authors":"Mona M. Ghonem ,&nbsp;Basma S. Eldeeb ,&nbsp;Ashraf M. Elaggan ,&nbsp;Heba I. Lashin","doi":"10.1016/j.fri.2024.200613","DOIUrl":"10.1016/j.fri.2024.200613","url":null,"abstract":"<div><h3>Objectives</h3><div>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.</div></div><div><h3>Material and Methods</h3><div>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&amp;2, sternebrae 2&amp;3, and sternebrae 3&amp;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.</div></div><div><h3>Results</h3><div>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 (<em>P</em> &lt; 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 &gt; 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.</div></div><div><h3>Conclusion</h3><div>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 &gt; 6 efficiently distinguished those aged 18 years.</div></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"39 ","pages":"Article 200613"},"PeriodicalIF":0.8,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Flaring up the mesentery: Applying the LODOX eXero-DR® statscan for expedited postmortem angiography.","authors":"Zandré Smith ,&nbsp;Elrinda de Bruin ,&nbsp;Ilze Mentoor ,&nbsp;Janette Verster","doi":"10.1016/j.fri.2024.200614","DOIUrl":"10.1016/j.fri.2024.200614","url":null,"abstract":"<div><h3>Rationale</h3><div>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.</div></div><div><h3>Objective</h3><div>Demonstrating the feasibility of performing postmortem angiography using the LODOX eXero-DR® statscan.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":40763,"journal":{"name":"Forensic Imaging","volume":"39 ","pages":"Article 200614"},"PeriodicalIF":0.8,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}