International Journal of Legal Medicine最新文献

{"title":"Correction to: The oriental latrine fly Chrysomya megacephala (Fabricius, 1794) (Diptera: Calliphoridae) as a new forensic indicator in SW Europe.","authors":"Anabel Martínez-Sánchez, Tania Ivorra, Leticia C Roberts, Salvador Giner, Luisa M Beringola, Pedro M Cano, Santos Rojo","doi":"10.1007/s00414-025-03508-z","DOIUrl":"https://doi.org/10.1007/s00414-025-03508-z","url":null,"abstract":"","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144028340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of standards for sex estimation using measurements obtained from reconstructed computed tomography images of the femur of contemporary Black South Africans.","authors":"Oriasotie M Ujaddughe, Jenny Haberfeld, Mubarak Ariyo Bidmos, Oladiran I Olateju","doi":"10.1007/s00414-025-03430-4","DOIUrl":"10.1007/s00414-025-03430-4","url":null,"abstract":"<p><p>Dimensions of the pelvic and skull bones are known to be sexually dimorphic in various population groups. The recovery of these bones is potentially beneficial in estimating the sex in forensic cases. Since both bones are not always available for forensic analysis, standards for sex estimation must be established for other bones of the postcranial skeleton. Previous studies have reported that postcranial skeletal elements (e.g. femur) perform like the pelvis and better than the cranium in sex estimation. Thus, this study explored the potential of CT-derived femoral measurements in sex estimation in a South African population. The sample consisted of 280 contemporary Black South Africans (50% sex ratio) whose scan reports are stored in the Radiology Department of Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa. The Xiris and IntelliSpace software was used to reconstruct the images into 3D formats from which measurements were taken. Previously derived sex estimation equations of the femur were tested using data from the current study and these equations presented low average classification accuracies. Using discriminant function and logistic regression analyses, new sex estimation equations were formulated, and these new equations yielded average sex estimation classification accuracies of between 82.5 and 91.4% (by multivariable logistic regression) and 79.3-84.3% (by multivariable discriminant function). The results indicate that population-specific femoral measurements obtained by CT are more reliable than those obtained by direct osteometry and that the femur has a high sexual dimorphism with relevant forensic applications.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1409-1422"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12003478/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143065380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Forensic sex classification by convolutional neural network approach by VGG16 model: accuracy, precision and sensitivity.","authors":"Cristiana Palmela Pereira, Mariana Correia, Diana Augusto, Francisco Coutinho, Francisco Salvado Silva, Rui Santos","doi":"10.1007/s00414-025-03416-2","DOIUrl":"10.1007/s00414-025-03416-2","url":null,"abstract":"<p><strong>Introduction: </strong>In the reconstructive phase of medico-legal human identification, the sex estimation is crucial in the reconstruction of the biological profile and can be applied both in identifying victims of mass disasters and in the autopsy room. Due to the inherent subjectivity associated with traditional methods, artificial intelligence, specifically, convolutional neural networks (CNN) may present a competitive option.</p><p><strong>Objectives: </strong>This study evaluates the reliability of VGG16 model as an accurate forensic sex prediction algorithm and its performance using orthopantomography (OPGs).</p><p><strong>Materials and methods: </strong>This study included 1050 OPGs from patients at the Santa Maria Local Health Unit Stomatology Department. Using Python, the OPGs were pre-processed, resized and similar copies were created using data augmentation methods. The model was evaluated for precision, sensitivity, F1-score and accuracy, and heatmaps were created.</p><p><strong>Results and discussion: </strong>The training revealed a discrepancy between the validation and training loss values. In the general test, the model showed a general balance between sexes, with F1-scores of 0.89. In the test by age group, contrary to expectations, the model was most accurate in the 16-20 age group (90%). Apart from the mandibular symphysis, analysis of the heatmaps showed that the model did not focus on anatomically relevant areas, possibly due to the lack of application of image extraction techniques.</p><p><strong>Conclusions: </strong>The results indicate that CNNs are accurate in classifying human remains based on the generic factor sex for medico-legal identification, achieving an overall accuracy of 89%. However, further research is necessary to enhance the models' performance.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1381-1393"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143033107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of a high-resolution melt curve assay into a commercial quantification kit for preliminary identification of biological mixtures.","authors":"Chastyn Smith, Andrea L Williams, Hannah E Wines, Darianne C Cloudy, Jordan O Cox, Sarah J Seashols-Williams, Edward L Boone, Tracey Dawson Green","doi":"10.1007/s00414-025-03427-z","DOIUrl":"10.1007/s00414-025-03427-z","url":null,"abstract":"<p><p>In recent years, DNA analysis techniques have drastically increased in sensitivity, allowing for low template DNA samples to be more easily detected and used for identification. Since the problems inherent in low template DNA are exacerbated in DNA mixture samples, it would be advantageous to incorporate an assay earlier in the DNA workflow that could detect a mixture and, potentially, determine the number of contributors. Some real-time PCR instruments have high-resolution melt curve analysis (HRM) capabilities, allowing for an opportunity to integrate an HRM screening assay into a commercial DNA quantification kit. This work describes the integration of a mixture screening HRM assay using STR loci D5S818 and D18S51 into Qiagen's Investigator Quantiplex^® kit. The integrated Quantiplex^®-HRM assay was tested on two qPCR platforms: The Rotor-Gene^® Q and the QuantStudio™ 6 Flex. Data from this assay was analyzed using linear discriminant and support vector machine analyses for sample classification. When HRM curve data from the Rotor-Gene^® Q was used for classification, the integrated assay exhibited an overall accuracy of 89.39%, correctly classifying 87.5% of single source samples and 100% of mixtures. When HRM curve data from the QuantStudio™ 6 Flex was used for classification, the integrated assay exhibited an overall accuracy of 87.88%, correctly classifying 87.5% of single source samples and 90% of mixtures. The overall accuracy of the integrated Quantiplex^®-HRM assay on both instruments met our goal of ≥ 80% accuracy, demonstrating the viability of the assay to detect mixtures when integrated into a commercial quantification kit.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1045-1052"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12003509/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143074436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sex estimation from patellar measurements in a contemporary Italian population: a machine learning approach.","authors":"Siam Knecht, Paolo Morandini, Lucie Biehler-Gomez, Luisa Nogueira, Pascal Adalian, Cristina Cattaneo","doi":"10.1007/s00414-024-03359-0","DOIUrl":"10.1007/s00414-024-03359-0","url":null,"abstract":"<p><p>Biological sex estimation in forensic anthropology is a crucial topic, and the patella has shown promise in this regard due to its sexual dimorphism. This study uses 12 machine learning models for sex estimation based on three patellar measurements (maximum height, breadth, and thickness). Data was collected from 180 skeletons of a contemporary Italian population (83 males and 97 females) as well as from an independent sample of 21 forensic cases (13 males and 8 females). Statistical analyses indicated that each of the variables exhibited significant sexual dimorphism. To predict biological sex, the classifiers were built using 70% of a reference sample, then tested on the remaining 30% of the original sample and then tested again on the independent sample. The different classifiers generated accuracies varied between 0.85 and 0.91 on the reference sample and between 0.71 and 0.95 for the validation sample. SVM classifier stood out with the highest accuracy and seemed the best model for our study.This study contributes to the growing application of machine learning in forensic anthropology by being the first to apply such techniques to patellar measurements in an Italian population. It aims to enhance the accuracy and efficiency of biological sex estimation from the patella, building on promising results observed with other skeletal elements.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1371-1380"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142568580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A methylation panel of 10 CpGs for accurate age inference via stepwise conditional epigenome-wide association study.","authors":"Yu Qian, Qianqian Peng, Qili Qian, Xingjian Gao, Xinxuan Liu, Yi Li, Xiu Fan, Yuan Cheng, Na Yuan, Sibte Hadi, Li Jin, Sijia Wang, Fan Liu","doi":"10.1007/s00414-024-03365-2","DOIUrl":"10.1007/s00414-024-03365-2","url":null,"abstract":"<p><p>Estimating individual age from DNA methylation at age associated CpG sites may provide key information facilitating forensic investigations. Systematic marker screening and feature selection play a critical role in ensuring the performance of the final prediction model. In the discovery stage, we screened for 811876 CpGs from whole blood of 2664 Chinese individuals ranging from 18 to 83 years of age based on a stepwise conditional epigenome-wide association study (SCEWAS). The SCEWAS identified 28 CpGs showing genome-wide significant and independent effects. Further restricting this panel to 10 most informative CpGs showed a tolerable loss of information. A linear model consisting of these 10 CpGs could explain 93% of the age variance (R² = 0.93) in the training set (n = 2664). In an independent test set of Chinese individuals (n = 648), this model also provided highly accurate predictions (R² = 0.85, mean absolute deviation, MAD = 3.20 years). The model was additionally validated in a public dataset of multiple ancestral origins (86 Europeans, 14 Asians, and 273 Africans) and the prediction accuracy reduced significantly (R² = 0.85, MAD = 6.21 years), as might be expected due to different genomic backgrounds, sample sizes, and age ranges. Our 10 CpG model also outperformed the recently proposed 9-CpG model constructed in 390 Chinese males (R² = 0.79 in test set). We also demonstrated that our SCEWAS approach outperformed the traditional EWAS and the elastic net approach in obtaining a small set of most age informative CpGs. Overall, our systematic genome-wide feature selection identified a small panel of 10 CpGs for accurate age estimation with high potential in forensic applications.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1193-1203"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142780154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expression of RIPK-1 and S-100B in traumatic brain injury- exploring a forensic cases series.","authors":"Gabriele Napoletano, Enrico Marinelli, Luigi Palla, Simona Zaami, Aniello Maiese","doi":"10.1007/s00414-024-03400-2","DOIUrl":"10.1007/s00414-024-03400-2","url":null,"abstract":"<p><p>Traumatic Brain Injury (TBI) represents one of the leading causes of disability and death globally, with a significant impact on public health. We present 12 cases (age 5-80 years old) of death due to TBI with different post-traumatic interval (PTI). The expression of S-100B and RIPK-1 in pericontusional zones of TBI were studied in forensic cases to understand the vitality and timing of injuries. The anti-RIPK-1 antibodies mainly stained the cytoplasm of the nerve cells. In 3 cases (48 to 56 years old with no other comorbidities; PTI: 2 days to 4 days) antibodies positive for RIPK-1 were found. In 5 cases (48 to 71 years old; PTI: 2 days to 12 days) astrocyte, oligodendrocyte and neurons positive for anti-S-100B were found. In 3 of these 5 cases both antibodies tested were positive. In 7 cases (5-80 years old; one with history of drug abuse, other with no comorbidities, PTI 0 h; ) the glial cells were swollen and the submeningeal glial limitans became immunopositive for S100B. Stain accumulations were also observed adjacent to the walls of cerebral vessels, sometimes within the intravascular compartment. The results of the study show that in subjects who suffered a TBI, the expression of RIPK-1 and S-100B at the level of neurons in the pericontusional area was significantly increased compared to the control group. Neurons were not stained for RIPK-1 in cases of sudden cardiac deaths and sudden deaths due to TBI but observed neurons became immunopositive for RIPK-1 some days after TBI. S100-immunopositive neurons were not seen in immediate deaths but were found in cases with survival up to 12 days. Results regarding S100B are in line with existing knowledge. The study of necroptosis with anti-RIPK-1 antibodies could be useful in understanding the extent of secondary injuries and survival time in forensic contexts. However, this is a pilot study and should be extended to a larger number of cases to achieve more reliable results.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1105-1112"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142828407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of original and new South African formulae for age estimation in African Black and white children and adolescents using dental and hand-wrist methods.","authors":"Ivan Galić, Nikolaos Angelakopoulos, Stefano De Luca, Francesco De Micco, Federica Martino, Isabella Lima Arrais Ribeiro, Roberto Cameriere","doi":"10.1007/s00414-024-03393-y","DOIUrl":"10.1007/s00414-024-03393-y","url":null,"abstract":"<p><strong>Background: </strong>Methods for age estimation in children involve measurements of: (1) the projections of open apices and tooth heights (T), (2) the total area of the carpal bones and the epiphyses of the ulna and radius (HW), and (3) a combination of these parameters (THW). This study aimed to compare the accuracy of the original formulae for T, HW, and THW in Black South African (BSA) and White South African (WSA) samples of children and adolescents.</p><p><strong>Materials and methods: </strong>The sample comprised 556 subjects, 164 BSA (71 males and 93 females) and 392 WSA (171 males and 221 females) aged 6 to 16 years. The main sample comprised 556 subjects and was divided into two parts. The first part was used to develop new formulae specific to the South African population, while the second part, consisting of 183 subjects and referred to as the test sample, was used to evaluate the accuracy of these formulae and to quantify their uncertainty when applied to real cases. Adjusted R² and standard errors of the estimate (SEEs) were calculated for each regression model. The mean absolute difference or error (MAE) between estimated and chronological age and the percentage of individuals within specific age ranges of ± 0.25, ± 0.5, ± 1, and ± 2 years of chronological age was used to compare the accuracy of formulae.</p><p><strong>Results: </strong>Teeth showed the most significant underestimation in the training sample, -0.49 years in males and - 0.29 years in females, as much as -0.70 years in WSA males, while BSA males were overestimated by + 0.03 years. Combining teeth and hand-wrist, the new formula showed the best performance in age estimation compared to only teeth or hand-wrist, except in WSA males (-0.51 years). New South African-specific formula improved accuracy, especially in males, suggesting their suitability alongside the original Cameriere et al. methods for precise age estimation.</p><p><strong>Conclusion: </strong>The original regression formulae by Cameriere et al., along with the newly developed formulaespecific to South African populations, shows promise for age estimation, considering potential estimation errors and the accuracy rates demonstrated in this study.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1205-1222"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global lens of Willems' method for dental age estimation: where we are and where we are going - umbrella review.","authors":"Daniela da Costa Nóbrega Brasil, Débora Duarte Moreira, Bianca Marques Santiago, Walbert de Andrade Vieira, Oksana Avdeenko, Luiz Renato Paranhos, Ademir Franco","doi":"10.1007/s00414-025-03424-2","DOIUrl":"10.1007/s00414-025-03424-2","url":null,"abstract":"<p><p>This umbrella review aimed to evaluate the evidence behind the Willems method for dental age estimation and detect methodological limitations in the existing systematic reviews. The study followed the Preferred Reporting Items for Overviews of Reviews (PRIOR), with the protocol registered in PROSPERO (CRD42023487745). Seven databases, including grey literature sources, were searched (Medline/PubMed, Scopus, LILACS, SciELO, Web of Science, Open Grey and Open Access Theses and Dissertations). Systematic reviews of cross-sectional studies on the Willems method were included. Two calibrated reviewers independently conducted study selection, data extraction, quality assessment (AMSTAR-2) and risk of bias (ROBIS). Five systematic reviews published between 2017 and 2022 were included. Combined sample sizes ranged from 9347 to 17,741 individuals aged 2.2 to 18 years. Meta-analyses reported minor overestimations in dental age, with differences varying by sex and ethnicity. However, significant methodological shortcomings were identified, such as lack of protocol registration, limited search strategies, and inadequate assessment of the risk of bias. All systematic reviews were rated as critically low quality and with a high risk of bias. The Willems method was deemed appropriate for dental age estimation by most studies, but methodological limitations of existing systematic reviews underscore the need for more rigorous research and improved standards.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1183-1192"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143425296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliability of ameloglyphics in forensic identification: a systematic review.","authors":"Julia N Thenmozhi, Veena V Naik, Punnya V Angadi","doi":"10.1007/s00414-024-03401-1","DOIUrl":"10.1007/s00414-024-03401-1","url":null,"abstract":"<p><strong>Background: </strong>Teeth are considered as hard tissue analogue to fingerprints, being unique to an individual. The enamel which forms the outer layer of the tooth is formed through a highly dynamic process in which ameloblasts lay down enamel rods in an undulating and intertwining path, which is reflected as a series of enamel rod pattern. The study of these patterns is termed as \"Ameloglyphics\". These patterns formed on the surface of enamel are called tooth prints each of which comprises the combination of different sub patterns, and are unique for every single tooth of an individual. This characteristic of uniqueness of the tooth print can serve as a significant biometric tool in forensic identification.</p><p><strong>Objectives: </strong>To assess if ameloglyphics is an accurate and reliable method for forensic identification of individuals.</p><p><strong>Methodology: </strong>Registration number- CRD42022338138. Data sources- Google Scholar, PubMed, Proquest, Europe PMC, Scopus. Study appraisal and synthesis methods- Studies were assessed for quality with the help of predetermined criteria which categorized the studies into high, medium and low quality with the help of JBI critical appraisal checklist for analytical cross-sectional studies using the key words such as Ameloglyphics, tooth prints and enamel rod end patterns.</p><p><strong>Results: </strong>A total of 475 articles were obtained in the primary search from PubMed, Scopus, Europe PMC, ProQuest, and Google Scholar including gray literature for thorough search of related publications on Ameloglyphics. Following initial search of titles, 433 articles were excluded because they were not related to the objectives of the systematic review and 42 articles were further excluded after abstract reading and removal of duplicates. Finally,18 out of 22 articles which were fulfilling the inclusion criteria of the study were selected for qualitative synthesis after full-text screening and exclusion of review articles. The data obtained from the eighteen included studies were systematically reviewed but a meta-analysis could not be performed due to heterogeneity of the data.</p><p><strong>Conclusion: </strong>Ameloglyphics is a relatively newer technique and a fair number of research are done on its application in identification of individuals. The results of the eighteen studies included in this review suggest that Ameloglyphicsis an useful adjunct for forensic identification.</p><p><strong>Protocol registration: </strong>The study protocol can be accessed through the International Prospective Register of Systematic Reviews, the PROSPERO database with the following register number: CRD42022338138.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1275-1286"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142894380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}