BACKGROUND:In recent years,deep learning technologies have been increasingly applied in the field of oral medicine,enhancing the efficiency and accuracy of oral imaging analysis and promoting the rapid development of intelligent oral medicine. OBJECTIVE:To elaborate the current research status,advantages,and limitations of deep learning based on oral imaging in the diagnosis and treatment decision-making of oral diseases,as well as future prospects,exploring new directions for the transformation of oral medicine under the backdrop of deep learning technology. METHODS:PubMed was searched for literature related to deep learning in oral medical imaging published from January 2017 to January 2024 with the search terms"deep learning,artificial intelligence,stomatology,oral medical imaging."According to the inclusion criteria,80 papers were finally included for review. RESULTS AND CONCLUSION:(1)Classic deep learning models include artificial neural networks,convolutional neural networks,recurrent neural networks,and generative adversarial networks.Scholars have used these models in competitive or cooperative forms to achieve more efficient interpretation of oral medical images.(2)In the field of oral medicine,the diagnosis of diseases and the formulation of treatment plans largely depend on the interpretation of medical imaging data.Deep learning technology,with its strong image processing capabilities,aids in the diagnosis of diseases such as dental caries,periapical periodontitis,vertical root fractures,periodontal disease,and jaw cysts,as well as preoperative assessments for procedures such as third molar extraction and cervical lymph node dissection,helping clinicians improve the accuracy and efficiency of decision-making.(3)Although deep learning is promising as an important auxiliary tool for the diagnosis and treatment of oral diseases,it still has certain limitations in model technology,safety ethics,and legal regulation.Future research should focus on demonstrating the scalability,robustness,and clinical practicality of deep learning,and finding the best way to integrate automated deep learning decision support systems into routine clinical workflows.

Objective: To investigate the comorbidity of abnormal spinal curvature and screening myopia among primary and middle school students in Taizhou City, Zhejiang Province, so as to provide the reference for the prevention and control of abnormal spinal curvature and myopia among children and adolescents. Methods: Students from nine counties (cities, districts) in Taizhou City were selected using a stratified cluster random sampling method. Basic information, sleep, physical activity, diet, electronic device usage, frequency of seat changes, after class study, reading and writing posture, and eye-use habits were collected through questionnaire surveys. Abnormal spinal curvature was screened according to the Technical Guidelines for the Prevention and Control of Abnormal Spinal Curvature in Children and Adolescents. Myopia was screened based on Specification for Screening of Refractive Error in Primary and Middle School Students (WS/T 663—2020). The influencing factors for the comorbidity of abnormal spinal curvature and screening myopia were analyzed using a multivariable logistic regression model. Results: A total of 13 596 students were surveyed, including 7 423 males (54.60%) and 6 173 females (45.40%). The average age was (13.45±2.59) years. The prevanlece of the comorbidity of abnormal spinal curvature and screening myopia, was 2.90% (394 cases). Multivariable logistic regression analysis showed that students who used computers for <1 hour in the past 7 days (not use as the reference, OR=1.312, 95%CI: 1.023-1.684), after class study for ≥3 hours in the past 7 days (OR=1.513, 95%CI: 1.068-2.143), and frequently/always read books or watched screens under direct sunlight (OR=1.604, 95%CI: 1.018-2.526) had a higher risk of the comorbidity of abnormal spinal curvature and screening myopia. In contrast, the students who slept for >9 h/d (OR=0.638, 95%CI: 0.411-0.991), engaged in outdoor activities for ≥3 h/d in the past 7 days (OR=0.645, 95%CI: 0.427-0.975), and changed seats once per month or more (OR=0.740, 95%CI: 0.573-0.955) had a lower risk of the comorbidity of abnormal spinal curvature and screening myopia. Conclusion The comorbidity of abnormal spinal curvature and screening myopia among primary and middle school students is mainly influenced by sleep, physical activity, electronic device use, frequency of seat changes, after class study and eye-use habits.

OBJECTIVE: To review the research progress on the lower limb biomechanical characteristics of patients with discoid lateral meniscus (DLM) injury after surgery. METHODS: By searching relevant domestic and international research literature on DLM, the postoperative characteristics of knee joint movement biomechanics, tibiofemoral joint stress distribution, lower extremity force line, and patellofemoral joint changes in patients with DLM injury were summarized. RESULTS: Surgical treatment can lead to varying degrees of changes in the lower limb biomechanical characteristics of patients with DLM injury. Specifically, the kinematic biomechanics of the knee joint can significantly improve, but there are still problems such as extension deficits in the affected knee joint. The peak stress of the tibiofemoral joint decreases with the increase of the residual meniscus volume, and the degree of change is closely related to the residual meniscus volume. Preserving a larger volume of the meniscus, especially the anterior horn volume, helps to reduce stress concentration. The lower extremity force line will deviate outward after surgery, and the more meniscus is removed during surgery, the greater the change in the lower extremity force line after surgery. There are conditions such as cartilage degeneration, position and angle changes in the patellofemoral joint after surgery. CONCLUSION The changes in the lower limb biomechanical characteristics after DLM injury are closely related to the choice of surgical methods and rehabilitation programs. However, the mechanisms of biomechanical changes in multiple lower limb joints and individual differences still need to be further studied and clarified.
Humans ; Biomechanical Phenomena ; Tibial Meniscus Injuries/physiopathology* ; Menisci, Tibial/physiopathology* ; Knee Joint/surgery* ; Lower Extremity/physiopathology* ; Patellofemoral Joint/physiopathology* ; Range of Motion, Articular ; Knee Injuries/physiopathology*

Background::Although some well-established oncogenes are involved in cancer initiation and progression such as prostate cancer (PCa), the long tail of cancer genes remains to be defined. Goosecoid ( GSC) has been implicated in cancer development. However, the comprehensive biological role of GSC in pan-cancer, specifically in PCa, remains unexplored. The aim of this study was to investigate the role of GSC in PCa development. Methods::We performed a systematic bioinformatics exploration of GSC using datasets from The Cancer Genome Atlas, Genotype-Tissue Expression, Gene Expression Omnibus, German Cancer Research Center, and our in-house cohorts. First, we evaluated the expression of GSC and its association with patient prognosis, and identified GSC-relevant genetic alterations in cancers. Further, we focused on the clinical characterization and prognostic analysis of GSC in PCa. To understand the transcriptional regulation of GSC by E2F transcription factor 1 ( E2F1), we performed chromatin immunoprecipitation quantitative polymerase chain reaction (qPCR). Functional experiments were conducted to validate the effect of GSC on the tumor cellular phenotype and sensitivity to trametinib. Results::GSC expression was elevated in various tumors and significantly correlated with patient prognosis. The alterations of GSC contribute to the progression of various tumors especially in PCa. Patients with PCa and high GSC expression exhibited worse progression-free survival and biochemical recurrence outcomes. Further, GSC upregulation in patients with PCa was mostly accompanied with higher Gleason score, advanced tumor stage, lymph node metastasis, and elevated prostate-specific antigen (PSA) levels. Mechanistically, the transcription factor, E2F1, stimulates GSC by binding to its promoter region. Detailed experiments further demonstrated that GSC acted as an oncogene and influenced the response of PCa cells to trametinib treatment. Conclusions::GSC was highly overexpressed and strongly correlated with patient prognosis in PCa. We found that GSC, regulated by E2F1, acted as an oncogene and impeded the therapeutic efficacy of trametinib in PCa.

Objective·To explore the correlation between the quantitative results of autofluorescence imaging under computer assistance and the grade of epithelial dysplasia in oral leukoplakia.Methods·From April 2016 to January 2024,357 patients with oral leukoplakia who visited the Department of Oral Mucosal Diseases at Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine,were included.Autofluorescence images of the lesions were obtained using a handheld autofluorescence device.These images were converted to grayscale images to obtain quantitative metrics.An ordered multinomial Logistic regression model was fitted in Python,and cumulative probability plots were generated.The dataset was divided into training and testing sets,and a decision tree was generated.Different hyperparameters were adjusted to achieve optimal model performance.Accuracy,precision,and F1 scores were calculated.The model performance was visualized using a confusion matrix.Results·As the degree of epithelial dysplasia increased,the relative mean color level showed a declining trend.In the binary classification of epithelial dysplasia,there was no overlap between the cumulative probability curves of different categories.In the four-category classification,only severe epithelial dysplasia overlapped with other category curves,indicating good discriminative ability of the model.In binary pathological grading,when the training and testing set ratio was 4∶1 and the maximum depth was 2,the accuracy,precision,and F1 scores were 0.792,0.801,and 0.795,respectively.In the four-category pathological grading,when the training and testing set ratio was 9∶1 and the maximum depth was 4,the accuracy,precision,and F1 scores were 0.611,0.537,and 0.569,respectively.Conclusion·Computer-assisted quantitative analysis of autofluorescence images can be used by oral mucosal specialists as a reference to predict the degree of epithelial dysplasia in patients with oral leukoplakia and to monitor their risk of cancer.

Objective: To analysis the epidemiological characteristics of overweight and obesity among middle school students in Taizhou from 2013 to 2020, to provide support for prevention and control efforts. Methods: Through stratified sampling, one primary school, one junior middle school and one senior high school were randomly selected from nine counties (cities and districts) in Taizhou, and continuous monitoring was conducted in all participants Height, weight and other variables were assessed and body mass index was calculated. The epidemic characteristics were analyzed according to the detection rate, fixed base ratio, sequential growth ratio and average growth rate. Results: From 2013 to 2020, the overall overweight rate among primary and middle school students in Taizhou was 14.5%(36 592/252 583), and the obesity rate was 11.2%(28 256/252 583). The rates of overweight and obesity increased, with average annual growth rates of 1.9% and 5.5%, respectively; thus, the rate of obesity increased more rapidly. The obesity rate was higher among boys (13.2%) than girls (9.0%)( χ 2=1 119.57, P <0.01), and the average annual growth rate was higher among girls than boys (6.1%, 5.2%, respectively). The rate of overweight among boys (17.6%) was higher than that among girls (10.9%)( χ 2=2 307.35, P <0.01). The average annual growth rate of overweight in girls was 2.3% and 1.7%, respectively. The obesity rate among primary school students (17.5%) was higher than that among middle school (9.7%) and high school (4.9%) students( χ 2=7 291.33, P <0.01). The average annual growth rate in students in middle school was fastest, followed by those in high and primary schools (6.5%, 3.9% and 2.6%, respectively). The rate of overweight in primary school students ( 15.8 %) was higher than that in middle school students (15.3%), and both were higher than that in high school students(12.2%)( χ 2=521.06, P <0.01). The average annual growth rate was also fastest in students in middle school, followed by high and primary schools (2.4%, 2.2% and 0.6%, respectively). Conclusion The detection rate of overweight and obesity among primary and middle school students in Taizhou is high and increasing rapidly, indicating high pressure on prevention and control. Boys and primary school students are the key target groups for prevention and control. Comprehensive prevention and control strategies should be adopted specifically.

Objective To investigate the safety and short-term outcomes of laparoscopic abdominoperineal resection with pelvic peritoneum closure (LARP-PPC) for low rectal cancer.Methods The retrospective cohort study was conducted.The clinicopathological data of 132 patients with low rectal cancer who were admitted to Ruijin Hospital of Shanghai JiaoTong University School of Medicine from January 2014 to December 2017 were collected.There were 81 males and 51 females,aged from 45 to 83 years,with an average age of 62 years.Among the 132 patients,60 undergoing LARP-PPC were allocated into LARP-PPC group,and 72 patients undergoing conventional LARP were allocated into LARP group.All the patients received standardized preoperative and postoperative treatments.Observation indicators:(1) surgical and postoperative conditions;(2) postoperative pathological examination;(3) postoperative complications.The measurement data with normal distribution were expressed as Mean±SD,and the t test was used for comparison between groups.The measurement data with skewed distribution were expressed as M (range),and the Mann-Whitney U test was used for comparison between groups.The count data were expressed as absolute numbers,and the chi-square test or the Fisher exact probability was used for comparison between groups.Mann-Whitney U test was used for comparison of ordinal data between groups.Results (1) Surgery and postoperative conditions:all the patients in the two groups underwent successful surgery without conversion to open surgery.The operation time,volume of intraoperative blood loss,time to first flatus,and time to first liquid intake of the LARP-PPC group were (163±45) minutes,168 mL(range,85-280 mL),2 days(range,1-5 days),3 days(range,2-6 days),versus (155±39) minutes,160 mL(range,100-305 mL),3 days(range,1-7 days),4 days(range,2-7 days) of the LARP group;there was no differencebetween the two group (t =1.113,Z =-1.623,-1.468,-0.321,P＞0.05).The duration of postoperative hospital stay in the LARP-PPC group and the LARP group were 16 days (range,11-21 days) and 19 days (14-24 days),respectively,with a significant difference between the two groups (Z =-5.888,P＜0.05)].In the LARP-PPC group,time of PPC was (13± 3) minutes.(2) Postoperative pathological examination:the length of specimen,the number of lymph node dissection,tumor diameter,cases with high-,middle-,and low-differentiated tumor in the LARP-PPC group was (18±4)cm,16±t5,(3.7±1.4)cm,10,34,16 in the LARP-PPC group,and (18±4)cm,16±5,(3.9±1.5) cm,13,41,18 in the LARP group,showing no significant difference between the two groups (t =0.779,0.390,0.703,Z=-0.267,P＞0.05).(3) Postoperative complications:cases with perineal wound infection,delayed perineal wound healing,intestinal obstruction,and perineal hernia were 2,1,1,0 in the LARP-PPC group,and 12,10,8,6 in the LARP group,showing significant differences between the two groups (x2 =6.137,6.400,P＜0.05).There were 2 and 4 patients with urinary tract infection in the LARP-PPC group and the LARP group,respectively,showing no significant difference between the two groups (P ＞ 0.05).Conclusion LARP-PPC is safe and feasible for the treatment of low rectal cancer,which can significantly reduce postoperative perineal-related complications and consequently shorten postoperative hospital stay.

Recently, salvia miltiorrhiza has made a great progress in research of central nervous system (CNS) injury and neurodegeneration. Salvia miltiorrhiza and its active ingredients can exert multiple effects involving reduction of cell loss, attenuation of oxidative stress, improvement of micro-circulation and promotion of neuroregeneration, and show a protective effect on CNS diseases. Regulation of oxidative stress and removing accumulated metabolite may be the important mechanisms by which salvia miltiorrhiza exerts neuroprotective effects. This study will systematically discuss the pharmacological effects and possible mechanisms of salvia miltiorrhiza based on the core pathological changes in CSN diseases, and evaluate its drug safety through combing the related toxicology researches to provide a reference for clinical transformation of Chinese medicine in threatment of CNS diseases.

Precision oncology aims to offer the most appropriate treatments to cancer patients mainly based on their individual genetic information. Genomics has provided numerous valuable data on driver mutations and risk loci; however, it remains a formidable challenge to transform these data into therapeutic agents. Transcriptomics describes the multifarious expression patterns of both mRNAs and non-coding RNAs (ncRNAs), which facilitates the deciphering of genomic codes. In this review, we take breast cancer as an example to demonstrate the applications of these rich RNA resources in precision medicine exploration. These include the use of mRNA profiles in triple-negative breast cancer (TNBC) subtyping to inform corresponding candidate targeted therapies; current advancements and achievements of high-throughput RNA interference (RNAi) screening technologies in breast cancer; and microRNAs as functional signatures for defining cell identities and regulating the biological activities of breast cancer cells. We summarize the benefits of transcriptomic analyses in breast cancer management and propose that unscrambling the core signaling networks of cancer may be an important task of multiple-omic data integration for precision oncology.
Female ; Gene Expression Profiling ; Genomics ; Humans ; MicroRNAs ; metabolism ; Precision Medicine ; RNA Interference ; RNA, Messenger ; metabolism ; Triple Negative Breast Neoplasms ; classification ; genetics ; metabolism ; therapy

The development of laparoscopic total mesorectal excision (TME) has been promoting the better understanding of the anatomy in pre-rectal space for surgeons.If the dissection in pre-rectal space was inappropriate and entered into wrong anatomic planes,it would be easier to cause the proper fascia of rectum incomplete and damage the neurovascular bundies,and reduce the radical surgery outcome and induce urinary and sexual dysfunction,finally,affect the prognosis in patients.For surgical approach in pre-rectal space,the author proposed:Based on the related literatures,transecting the Denonvilliers' fascia (DVF) when it's definitely thickened after cutting the peritoneum 0.5 cm anterior to peri-toneal reflection,entering and dissecting in the space between DVF and the proper fascia of rectum,and forming a typical Three-line feature,including the cutting line of peritoneal reflection,the proximal and distal cutting lines of DVF,which can serve as the mark line and mark plane of the entrance to pre-rectal space.Not only this approach can keep the proper completeness of rectal fascia,but also it maximally reserves the DVF.Here,this article discussed the embryonic origins and anatomic characters of DVF,the structures of neurovascular bundles,dissection in the pre-rectal space,surgical approach and clinical outcomes between DVF and laparoscopic TME.