Objective To study the effect of silica in soil on the extraction of biological evidence DNA at the crime scene using the silica bead method.Methods Mud suspension and diluted blood were mixed to prepare biological samples mixed with dust and soil,which is to simulate biological evidence at the crime scene.Cell lysis was performed using heating lysis and guanidine salt chemical lysis,respectively.DNA was extracted using the silica bead method,amplified by PCR using Identifiler Plus kit and detected by capillary electrophoresis.The electrophoresis results were compared.Using mud suspension instead of silica beads to extract diluted blood DNA to validate the effect of silica in soil on the extraction of biological evidence DNA at crime scene using silica beads method.Results The complete STR loci were obtained after the extraction and amplification of 4 μL,20 μL dilute blood mixed with mud and lysed with heating cracking,whoes average peak heights arel 969.7±376.9 RFU and 9 706.7±349.8 RFU.For the 4 μL dilute blood mixed with mud guanidine salt chemical lysis,it cannot obtain complete STR loci after extraction and amplification.20 μL dilute blood mixed with mud guanidine salt was chemically cleaved and amplified to obtain complete STR loci with an average peak height of 1 899.8±801.3 RFU.After extraction and amplification by mud suspension instead of silica beads to extract 20 μL diluted blood DNA,complete STR loci were obtained.Conclusion Silicon dioxide in soil can bind to DNA in the presence of guanidine salts,leading to a decrease in the efficiency of recovering on-site biological evidence DNA using the silicon bead method.

Objective To systematically analyze the literature on ABO-incompatible(ABOi)organ transplantation and explore the research hotspots and trends in this field.Methods CiteSpace software was used for visual analysis of ABOi organ transplantation literature collected from the China National Knowledge Infrastructure,VIP web,Wanfang Data,and the Web of Science Core Collection database from January 1,2013 to December 31,2023 after cleaning,including the volume of literature published,authors,countries,institution and keywords.Results A total of 588 valid foreign-language author publications and 85 valid Chinese-language author publications were included.Since 2021,the volume of foreign literature publications has shown a downward trend,while the volume of domestic literature published has generally shown a upward trend.The top two core Chinese authors are Wang Yi and Zhu Zhijun;the top three core authors in foreign literature are Nakatani Tatsuya,Tanabe Kazunari,and Uchida Junji.The most active institution in China is Huazhong University of Science and Technology,followed by Zhejiang University and Sichuan University,with relatively insufficient closeness in cooperation between related institutions.The institutions with the most publications abroad are Ulsan University,Seoul National University and Tokyo Women's Medical University in Japan.The top three countries in English-language literature publications are Japan,Republic Korea,and the United States,and China ranked 5th.Keyword cluster analysis shows that the research focus of at home and abroad is mainly on nine topic clusters including ABOi organ transplantation,cryoprecipitation,kidney transplantation,liver transplantation,blood type antigen detection technology and post-transplant complications.Conclusions At present,The research in the field of ABOi organ transplantation is mainly concentrated on kidney transplantation and liver transplantation,showing an overall positive development trend.In the future,it is expected to further promote development of this field by strengthening international cooperation,expanding research investment and promoting the application of advanced technologies.

Neoadjuvant therapy for locally advanced colorectal cancer has made great progress in the past 20 years, but there are still limitations such as side effects, organ dysfunction and unsatisfactory control of metastasis. In recent years, with the improvement of surgical techniques and further development of molecular research, how to further improve local control, reduce distant metastasis, and even avoid surgery according to clinical remission to achieve organ preservation, is the current demand and research goal. With the advancement of molecular research, colorectal cancer has different treatment strategies based on microsatellite status. For patients with microsatellite instability locally advanced colorectal cancer, immune checkpoint inhibitor therapy significantly increased the pathologic complete response rate, reduced the incidence of adverse events and improved organ function compared with conventional chemoradiotherapy. For patients with microsatellite stable locally advanced colon cancer, neoadjuvant therapy is still in the exploratory stage. The standard of care is surgery combined with perioperative chemotherapy. For microsatellite stable locally advanced rectal cancer, the complete response rate is improved by enhancing neoadjuvant therapy, which helps to preserve organs. On the other hand, selective radiotherapy preserves organ function and improves quality of life. This article reviews the neoadjuvant treatment strategies for locally advanced colorectal cancer based on organ-sparing strategies.

Neoadjuvant therapy for locally advanced colorectal cancer has made great progress in the past 20 years, but there are still limitations such as side effects, organ dysfunction and unsatisfactory control of metastasis. In recent years, with the improvement of surgical techniques and further development of molecular research, how to further improve local control, reduce distant metastasis, and even avoid surgery according to clinical remission to achieve organ preservation, is the current demand and research goal. With the advancement of molecular research, colorectal cancer has different treatment strategies based on microsatellite status. For patients with microsatellite instability locally advanced colorectal cancer, immune checkpoint inhibitor therapy significantly increased the pathologic complete response rate, reduced the incidence of adverse events and improved organ function compared with conventional chemoradiotherapy. For patients with microsatellite stable locally advanced colon cancer, neoadjuvant therapy is still in the exploratory stage. The standard of care is surgery combined with perioperative chemotherapy. For microsatellite stable locally advanced rectal cancer, the complete response rate is improved by enhancing neoadjuvant therapy, which helps to preserve organs. On the other hand, selective radiotherapy preserves organ function and improves quality of life. This article reviews the neoadjuvant treatment strategies for locally advanced colorectal cancer based on organ-sparing strategies.

Objective:To study the risk factors for sepsis with acute pancreatitis (AP) in the intensive care unit, Nomogram models were constructed and evaluatedand.Methods:Clinical data of 306 AP patients were admitted to the First Department of Critical Care Medicine. The Second Affiliated Hospital of Anhui Medical University from October 2013 to October 2023 were included, they were divided into sepsis group and non-sepsis group according to whether sepsis occurred. Baseline data and laboratory test results of the two groups were compared. The study subjects were randomly(random number) divided into training set and verification set, and the optimal variables were selected by LASSO regression. Then multivariate Logistic regression analysis was performed to construct a Nomogram risk prediction model. Then the prediction efficiency of the model was evaluated.Results:A total of 306 AP patients were included, including 127 patients with sepsis and 179 patients without sepsis. According to the ratio of 7:3, 215 cases were randomly (random number) divided into the training set and 91 cases were verified. Multivariate Logistic regression analysis showed that BMI, APACHEⅡ score, platelet, IL-6, total bilirubin and complications were independent risk factors for sepsis in patients with AP. According to the above risk factors, a Nomogram prediction model was established. The area under ROC curve of the model in training set and verified set were 0.913 (95% CI 0.875-0.951) and 0.901 (95% CI 0.837-0.965) respectively. The calibration curve shows that the predicted probability is basically consistent with the actual probability. Decision curve analysis shows that it has good clinical net benefit in a large threshold range. Conclusions:The independent risk factors of AP associated with sepsis in ICU are BMI, APACHEⅡscore, platelet, IL-6, total bilirubin and complications. The Nomogram risk predictive model based on these factors has good predictive power.

Objective:To construct an intelligent endoscopic image analysis system that could monitor the blind spot of the upper gastrointestinal tract, and to test its performance.Methods:A total of 87 167 upper gastrointestinal endoscopy images (dataset 1) including 75 551 for training and 11 616 for testing, and a total of 2 414 pharyngeal images (dataset 2) including 2 233 for training and 181 for testing were retrospectively collected from the Digestive Endoscopy Center of Renmin Hospital of Wuhan University between 2016 to 2020. A 27-category-classification model for blind spot monitoring in the upper gastrointestinal tract (model 1, which distinguished 27 anatomical sites such as the pharynx, esophagus, and stomach) and a 5-category-classification model for blind spot monitoring in the pharynx (model 2, which distinguished palate, posterior pharyngeal wall, larynx, left and right pyriform sinuses) were constructed. The above models were trained and tested based on dataset 1 and 2, respectively, and trained based on the EfficientNet-B4, ResNet50 and VGG16 models of the keras framework. Thirty complete upper gastrointestinal endoscopy videos were retrospectively collected from the Digestive Endoscopy Center of Renmin Hospital of Wuhan University in 2021 to test model 2 blind spot monitoring performance.Results:The cross-sectional comparison results of the accuracy of model 1 in identifying 27 anatomical sites of the upper gastrointestinal tract in images showed that the mean accuracy of EfficientNet-B4, ResNet50, and VGG16 were 90.90%, 90.24%, and 89.22%, respectively, with the EfficientNet-B4 model performance the best, and the accuracy of EfficientNet-B4 model for each site ranged from 80.49% to 97.80%. The cross-sectional comparison results of the accuracy of model 2 in identifying the 5 anatomical sites of the pharynx in the images showed that the mean accuracy of EfficientNet-B4, ResNet50, and VGG16 were 99.40%, 98.56%, and 97.01%, respectively, in which the EfficientNet-B4 model had the best performance, and the accuracy of EfficientNet-B4 model for each site ranged from 96.15% to 100.00%. The overall accuracy of model 2 in identifying the 5 anatomical sites of the pharynx in the video was 97.33% (146/150).Conclusion:The intelligent endoscopic image analysis system based on deep learning can monitor blind spots in the upper gastrointestinal tract, coupled with pharyngeal blind spot monitoring and esophagogastroduodenal blind spot monitoring functions. The system shows high accuracy in both images and videos, which is expected to have a potential role in clinical practice and assisting endoscopists to achieve full observation of the upper gastrointestinal tract.

Objective:To develop an artificial intelligence model based on multi-modal endoscopic images for identifying gastric neoplasms and to compare its diagnostic efficacy with traditional models and endoscopists.Methods:A total of 3 267 images of gastric neoplasms and non-neoplastic lesions under white light (WL) endoscopy and weak magnification (WM) endoscopy from 463 patients at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University from March 2018 to December 2019 were utilized. Two single-modal models (WL model and WM model) were constructed based on WL and WM images separately. WL and WM images of corresponding lesions were combined into image pairs for creating a multi-modal (MM) characteristics integration model. A test set consisting of 696 images of 102 lesions from 97 patients from March 2020 to March 2021 was used to compare the diagnostic efficacy of the single-modal models and a multi-modal model for gastric neoplastic lesions at both the image and the lesion levels. Additionally, video clips of 80 lesions from 80 patients from January 2022 to June 2022 were employed to compare diagnostic efficacy of the WM model, the MM model and 7 endoscopists at the lesion level for gastric neoplasms.Results:In the image test set, the sensitivity and accuracy of MM model were 84.96% (576/678), and 86.89% (1 220/1 289), respectively, for diagnosing gastric neoplasms at the image level, which were superior to 63.13% (113/179) and 80.59% (353/438) of WM model ( χ2=42.81, P<0.001; χ2=10.33, P=0.001), and also better than those of WL model [70.47% (74/105), χ2=13.52, P<0.001; 67.82% (175/258), χ2=57.27, P<0.001]. The MM model showed a sensitivity of 87.50% (28/32), a specificity of 88.57% (62/70), and an accuracy of 88.24% (90/102) at the lesion level. The specificity ( χ2=22.99, P<0.001) and accuracy ( χ2=19.06, P<0.001) were significantly higher than those of WL model; however, there was no significant difference compared with those of the WM model ( P>0.05). In the video test, the sensitivity, specificity and accuracy of the MM model at the lesion level were 95.00% (19/20), 93.33% (56/60) and 93.75% (75/80). These results were significantly better than those of endoscopists, who had a sensitivity of 77.14% (108/140), a specificity of 79.29% (333/420), and an accuracy of 78.75% (441/560), with significant differences ( χ2=18.62, P<0.001; χ2=35.07, P<0.001; χ2=53.12, P<0.001), and was higher than the sensitivity of advanced endoscopists [83.33% (50/60)] with significant difference ( χ2=4.23, P=0.040). Conclusion:The artificial intelligence model based on multi-modal endoscopic images for the diagnosis of gastric neoplasms shows high efficacy in both image and video test sets, outperforming the average diagnostic performance of endoscopists in the video test.

ObjectiveTo evaluate the inter-rater and test-retest reliability of echo intensity of ultrasound image for quality of quadriceps femoris in patients with knee osteoarthritis (KOA). MethodsFrom March to December, 2021, 33 patients with unilateral KOA in Guangdong Provincial Second Hospital of Traditional Chinese Medicine were included. Ultrasound was used to observe the cross sections of rectus femoris (RF), vastus medialis (VM) and vastus lateralis (VL), and the images were saved. Two independent raters analyzed the average gray value of the picture with the Image J. One of the raters repeated the measurement. The intra-class correlation coefficient (ICC), standard error of measurement (SEM), minimum detectable change (MDC) and coefficient of variation (CV) were calculated and the Bland-Altman charts were drawn. ResultsThe gray value was higher in the RF, VM and VL in the affected side than in the healthy side (t > 2.262, P < 0.05). The inter-rater reliability was excellent, with ICC 0.982 to 0.995, SEM 1.60 to 3.82, CV 1.49% to 5.90%, and MDC value 4.43 to 10.59. The test-retest reliability of the rater was excellent, with ICC 0.969 to 0.990, SEM 2.37 to 5.41, CV 2.22% to 4.84%, and MDC value 6.57 to 15.00. Bland-Altman charts analysis showed that the consistency was good. ConclusionThe quadriceps femoris muscle quality is different between the affected and the healthy sides in patients with unilateral KOA. It is reliable to evaluate muscle echo intensity by Image J.

Objective:To investigate the incidence of high-risk human papillomavirus (hrHPV) negative cervical lesions in the screening population, and based on this, to preliminarily evaluate the potential harm (missed diagnosis) and benefits (reduced colposcopy referral) of HPV primary screening compared to combined screening so as to provide reference for the selection of cervical cancer primary screening methods.Methods:This study was a single center cross-sectional study. Women who underwent joint screening [hrHPV typing test combined with cervical liquid based cytology test (LCT)] at the Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology from January 1, 2018 to December 31, 2019 were included in the cervical cancer screening. The proportion of hrHPV negative cytological abnormalities and cervical lesions in the population was analyzed and the theoretical colposcopy referral rate of the combined screening and HPV initial screening protocol was calculated. In the population with cervical pathological results, the number of colposcopy examinations required for the diagnosis of cervical intraepithelial neoplasia grade 2 and above (CIN2+ ) was calculated.Results:A total of 35 321 screened women were included. The overall incidence of hrHPV infection, LCT abnormalities and severe LCT abnormalities in the population was 17.13%(6 051/35 321), 18.07%(6 384/35 321), and 3.97%(1 402/35 321), respectively. The negative rate of hrHPV in women with severe cervical cytology abnormalities was as high as 51.28%(719/1 402), and in CIN2+ lesions diagnosed by cervical biopsy, hrHPV negative accounted for 7.15% (49/685). The theoretical colposcopy referral rates for combined screening and initial HPV screening were 11.28%(3 985/35 321) and 8.33%(2 943/35 321), respectively, with an average diagnosis of CIN2+ requiring 3.51 and 2.81 colposcopy examinations, respectively.Conclusions:In the opportunistic screening population, the proportion of hrHPV negative CIN2+ lesions cannot be ignored, and the HPV initial screening strategy may cause missed diagnosis of these lesions. However, compared to combined screening, HPV initial screening has the potential to improve the efficiency of colposcopy. These results suggest that we should carefully choose the HPV initial screening plan.

Bone defects caused by different causes such as trauma, severe bone infection and other factors are common in clinic and difficult to treat. Usually, bone substitutes are required for repair. Current bone grafting materials used clinically include autologous bones, allogeneic bones, xenografts, and synthetic materials, etc. Other than autologous bones, the major hurdles of rest bone grafts have various degrees of poor biological activity and lack of active ingredients to provide osteogenic impetus. Bone marrow contains various components such as stem cells and bioactive factors, which are contributive to osteogenesis. In response, the technique of bone marrow enrichment, based on the efficient utilization of components within bone marrow, has been risen, aiming to extract osteogenic cells and factors from bone marrow of patients and incorporate them into 3D scaffolds for fabricating bone grafts with high osteoinductivity. However, the scientific guidance and application specification are lacked with regard to the clinical scope, approach, safety and effectiveness. In this context, under the organization of Chinese Orthopedic Association, the Expert consensus for the clinical application of autologous bone marrow enrichment technique for bone repair ( version 2023) is formulated based on the evidence-based medicine. The consensus covers the topics of the characteristics, range of application, safety and application notes of the technique of autologous bone marrow enrichment and proposes corresponding recommendations, hoping to provide better guidance for clinical practice of the technique.