Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Objective To evaluate the transition rules of normal body mass index(BMI),overweight and metabolic syndrome(MetS)in patients with major depressive disorder(MDD).Methods Patients with MDD who had multiple admission records between Jan 2016 and Nov 2021 in Beijing Anding Hospital,Capital Medical University were included.Based on the overweight and metabolic syndrome status assessed at each admission,the patients were categorized into three states:normal BMI,overweight and metabolic syndrome.A multi-state Markov model was used to analyze the transition intensity and transition frequency between three states and the influence of covariates on transitions.Results A total of 892 records of 398 subjects were included,with a median age of 56 years old and 31.4% males.The median follow-up period was 40 months.The multi-state model showed that there were 494 transitions between the three states,of which 5.1% moved from normal BMI to overweight and 5.5% moved from overweight to MetS.The intensity of transition was the highest from overweight to MetS,9.52 times greater than overweight to normal BMI.After 48.53 months,MDD patients with normal BMI began to transition to MetS.For overweight MDD patients,the transition to MetS started after 8.77 months.MDD patients with normal BMI or overweight had 31.4% and 50.4% probabilities of developing Mets after 36 months.For MDD patients comorbid with MetS,the probability of staying at MetS was 51.2% after 36 months.Multivariate analysis showed that being unmarried was a risk factor against developing overweight in normal BMI MDD patients,while a higher level of education was a protective factor against developing MetS in overweight MDD patients.Conclusion MDD patients exhibited a higher intensity and risk of developing MetS,and it is not easy to reverse MetS,suggesting that BMI management and MetS intervention should be strengthened in MDD patients.

The objective of this study was to evaluate the toxicity and safety of novel Mycobacterium tuberculosis fusion strain protein derivatives,referred to as B/R strain active proteins.In cellular experiments,RAW264.7 cells were treated with each vaccine preparation,and apoptosis rates were measured.In subsequent animal experiments,C57BL/6 mice were immunized via subcutaneous injection,and their survival and body weight changes were monitored and recorded at 2,4,8,12,and 16 weeks.The lungs and spleens were harvested to calculate organ coefficients,and pathological examinations were conducted.At the eighth week of immunization,the mice were infected with high concentrations of BCG,and pathological changes in the lungs and spleens were observed 4 weeks post-infection.The apoptosis rate at 6 hours was significantly higher in the experimental group than the PBS group(P<0.05).At 12 and 24 hours,the apoptosis rate in the experimental group remained higher than that in the PBS group,although this difference was not statistically significant.After immunization,mice in all four groups exhibited normal growth patterns,as indicated by stable body weight changes.At 4 and 12 weeks post-immunization,the lung coefficients in the protein group were significantly higher than those in the PBS group at the same time points.Additionally,the lung coefficients in the BCG group were significantly elevated across all time periods(P<0.05).The spleen coefficients in the protein and BCG groups were significantly higher than those in the PBS group at 2,4,8,12,and 16 weeks,whereas the ICD B/R group showed higher spleen coefficients than the PBS group only at week 8(P<0.05).Pathological examination revealed normal lung and spleen tissues in the PBS group.However,during the 2-8 weeks immunization period,lung and spleen tissues in all experimental groups exhibited varying degrees of damage,which gradually diminished by 12-16 weeks.Notably,no tuberculosis nodules were observed in any experimental group.After infection with high concentrations of BCG,no overt pathological changes were observed on the surfaces of the lungs and spleens in any group.Microscopic examination revealed less severe pathological changes in the lungs and spleens of mice in the experimental groups than the PBS group.Furthermore,no statistically significant differences were observed between the protein group and the BCG group.Our findings suggested that the B/R strain active proteins'toxicity and safety profiles were comparable to those of BCG,and showed immunoprotective effects.This study provides an experimental foundation for the development of a novel tuberculosis vaccine.

Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*

Objective To propose a high-precision deep learning-based image assessment method of osteosarcoma chemotherapy efficacy for clinical treatment,as existing methos have low accuracy of osteosarcoma assessment.Methods The low incidence of osteosarcoma led to the small scale of its imaging data and the problem of imbalance in data categories.This study combined deep learning with clinical medical information,combined the bone sarcoma generation module of BoneGAN and the scale lesion information capture module,and proposed OMLA-Net,a deep learning assessment network for chemotherapy effect of bone sarcoma based on multi-scale lesion attention network,which achieved computer-aided bone tumor assessment with integrated data augmentation and focused lesion information through pre-training and generalized loss training.Results In this study,40 cases of osteosarcoma MRI data were used as the basis for the comparison test on the generated dataset,and the OMLA-Net assessment outperformed the SOTA method Conv-LSTM-GAN in terms of the assessment effects such as accuracy and F1 scores,and the difference was statistically significant(Bootstrap statistical method P＜0.05);the subsequent K-fold cross-validation ablation experiments further demonstrated the effectiveness of each module proposed by OMLA-Net.Conclusion OMLA-Net can effectively perform the impact assessment of chemotherapy effect on osteosarcoma,which provides a new idea for subsequent clinical application.

Objective To evaluate the transition rules of normal body mass index(BMI),overweight and metabolic syndrome(MetS)in patients with major depressive disorder(MDD).Methods Patients with MDD who had multiple admission records between Jan 2016 and Nov 2021 in Beijing Anding Hospital,Capital Medical University were included.Based on the overweight and metabolic syndrome status assessed at each admission,the patients were categorized into three states:normal BMI,overweight and metabolic syndrome.A multi-state Markov model was used to analyze the transition intensity and transition frequency between three states and the influence of covariates on transitions.Results A total of 892 records of 398 subjects were included,with a median age of 56 years old and 31.4% males.The median follow-up period was 40 months.The multi-state model showed that there were 494 transitions between the three states,of which 5.1% moved from normal BMI to overweight and 5.5% moved from overweight to MetS.The intensity of transition was the highest from overweight to MetS,9.52 times greater than overweight to normal BMI.After 48.53 months,MDD patients with normal BMI began to transition to MetS.For overweight MDD patients,the transition to MetS started after 8.77 months.MDD patients with normal BMI or overweight had 31.4% and 50.4% probabilities of developing Mets after 36 months.For MDD patients comorbid with MetS,the probability of staying at MetS was 51.2% after 36 months.Multivariate analysis showed that being unmarried was a risk factor against developing overweight in normal BMI MDD patients,while a higher level of education was a protective factor against developing MetS in overweight MDD patients.Conclusion MDD patients exhibited a higher intensity and risk of developing MetS,and it is not easy to reverse MetS,suggesting that BMI management and MetS intervention should be strengthened in MDD patients.

The objective of this study was to evaluate the toxicity and safety of novel Mycobacterium tuberculosis fusion strain protein derivatives,referred to as B/R strain active proteins.In cellular experiments,RAW264.7 cells were treated with each vaccine preparation,and apoptosis rates were measured.In subsequent animal experiments,C57BL/6 mice were immunized via subcutaneous injection,and their survival and body weight changes were monitored and recorded at 2,4,8,12,and 16 weeks.The lungs and spleens were harvested to calculate organ coefficients,and pathological examinations were conducted.At the eighth week of immunization,the mice were infected with high concentrations of BCG,and pathological changes in the lungs and spleens were observed 4 weeks post-infection.The apoptosis rate at 6 hours was significantly higher in the experimental group than the PBS group(P<0.05).At 12 and 24 hours,the apoptosis rate in the experimental group remained higher than that in the PBS group,although this difference was not statistically significant.After immunization,mice in all four groups exhibited normal growth patterns,as indicated by stable body weight changes.At 4 and 12 weeks post-immunization,the lung coefficients in the protein group were significantly higher than those in the PBS group at the same time points.Additionally,the lung coefficients in the BCG group were significantly elevated across all time periods(P<0.05).The spleen coefficients in the protein and BCG groups were significantly higher than those in the PBS group at 2,4,8,12,and 16 weeks,whereas the ICD B/R group showed higher spleen coefficients than the PBS group only at week 8(P<0.05).Pathological examination revealed normal lung and spleen tissues in the PBS group.However,during the 2-8 weeks immunization period,lung and spleen tissues in all experimental groups exhibited varying degrees of damage,which gradually diminished by 12-16 weeks.Notably,no tuberculosis nodules were observed in any experimental group.After infection with high concentrations of BCG,no overt pathological changes were observed on the surfaces of the lungs and spleens in any group.Microscopic examination revealed less severe pathological changes in the lungs and spleens of mice in the experimental groups than the PBS group.Furthermore,no statistically significant differences were observed between the protein group and the BCG group.Our findings suggested that the B/R strain active proteins'toxicity and safety profiles were comparable to those of BCG,and showed immunoprotective effects.This study provides an experimental foundation for the development of a novel tuberculosis vaccine.

Objective:To investigate the predictive value of morphology,immunology,and cytogenetics for isocitrate dehydrogenase 1 and 2(IDH1/2)gene mutation in newly diagnosed acute myeloid leukemia(AML)patients.Methods:The clinical data of 186 newly diagnosed AML patients(except M3 subtype)in the First People's Hospital of Changzhou were retrospectively analyzed,and the variables associated with IDH1/2 mutation in patients were screened using LASSO regression to construct a multivariate logistic regression analysis model.The Bootstrap method was used for internal validation of the model and nomograms were used to visualize the model,and receiver operating characteristic(ROC)curve was used to evaluate the predictive performance of the model.Results:A total of 60 AML patients had IDH1/2 mutation at initial diagnosis.LASSO regression screened 9 predictive variables associated with IDH1/2 mutation,including CD7,CD56,CD11b,CD15,CD64,HLA-DR,platelet count ≥ 50 × 109/L,isolated+8 and normal karyotype.The nomogram and ROC curve were plotted based on the above 9 variables.The area under the ROC curve(AUC)of the training set and the validation set were 0.871 and 0.806,respectively.Internal validation showed that the nomogram had good predictive ability.Conclusion:The prediction model based on MIC typing constructed in this study has a good predictive ability for the presence of IDH1/2 mutations in newly diagnosed AML patients and has important clinical application value when the gene mutation detection results are unavailable.

Objective:To compare the short-term effect and adverse reaction of venetoclax(VEN)combined with azacitidine(AZA)versus"7+3"regimen in newly diagnosed elder patients with acute myeloid leukemia(AML).Methods:From January 2021 to January 2022,the clinical data of seventy-nine newly diagnosed elder patients with AML at the Second Hospital of Shanxi Medical University and the Shanxi Bethune Hospital were retrospectively analyzed,including VEN+AZA group(41 cases)and"7+3"group(38 cases).The propensity score matching(PSM)method was used to balance confounding factors,then response,overall survival(OS),progression-free survival(PFS)and adverse reactions between the two groups were compared.Results:The ORR of VEN+AZA group and"7+3"group was 68％and 84％,respectively,and the CRc was 64％and 72％,respectively,the differents were not statistically significant(P＞0.05).In the VEN+AZA group,there were 5 non-remission(NR)patients,4 with chromosome 7 abnormality(7q-/-7),and 1 with ETV6 gene mutation.Median followed-up time between the two groups was 8 months and 12 months,respectively,and the 6-months OS was 84％vs 92％(P=0.389),while 6-months PFS was 84％vs 92％(P=0.258).The main hematological adverse reactions in two groups were stage Ⅲ-Ⅳmyelosuppression,and the incidence rate was not statistically different(P＞0.05).The median time of neutrophil recovery in two groups was 27(11-70)d,25(14-61)d(P=0.161),and platelet recovery was 27(11-75)d,25(16-50)d(P=0.270),respectively.The infection rate of VEN+AZA group was lower than that of"7+3"group(56％vs 88％,P=0.012).The rate of lung infections of two groups was 36％and 64％,respectively,the difference was statistically significant(P=0.048).Conclusion:The short-term effect of VEN+AZA group and"7+3"regimens in eldrly AML patients are similar,but the VEN+AZA regimen had a lower incidence of infection.The presence of chromosome 7 abnormality(7q-/-7)may be a poor prognostic factor for elderly AML patients treated with VEN+AZA.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.