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 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.
Humans ; Isocitrate Dehydrogenase/genetics* ; Leukemia, Myeloid, Acute/genetics* ; Mutation ; Retrospective Studies ; Nomograms ; Female ; Male ; ROC Curve ; Middle Aged

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 investigate the effect of MALAT1 expressions on cell proliferation and apoptosis in astrocytes by regulating mitogen-activated protein kinase(MAPK)/extracellular signal-regulated kinase(ERK1,2)pathway.Methods The MALAT1 gene was knocked down and over-expressed in C8-D1A cells by lentiviral and plasmid vectors,respectively.The expressions of MALAT1,cell proliferation-related markers(Ki67,MCM2,PCNA)and apoptosis-related proteins(Caspase-3,Bax,Bcl-2)were detected by quantitative real-time polymerase chain reaction(qPCR).CCK-8 assay and flow cytometry were used for cell proliferation and apoptosis in C8-D1A cells.Immunofluorescence was adopted to detect the protein expressions of Caspase-3 and Ki67.Western blotting was used to detect the protein expressions of Caspase-3,Bax,Bcl-2,ERK1/2,p-ERK1/2,p38MAPK and p-p38MAPK.Results Compared with the control group,over-expressed MALAT1 inhibited cell proliferation and induced cell apoptosis in C8-D1A cells while the knockdown of MALAT1 significantly enhanced cell proliferation and anti-apoptotic ability in C8-D1A cells.The proportion of C8-D1A cells in G0/G1-phase and G2/M-phase was higher than in the control group as evidenced by flow cytometry,but was lower in S-phase.Meanwhile,data showed that Caspase-3 was increased while p-ERK1/2 was decreased in terms of protein levels.The mRNA expressions of Ki67 and PCNA were decreased.After knockdown of MALAT1,the proportion of C8-D1A cells in S-phase was higher,but was lower in G2/M-phase.The protein expressions of Caspase-3 and Bax decreased while those of p-ERK1/2 and p-p38MAPK increased.The mRNA expressions of Ki67,MCM2 and PCNA were increased.The differences were all statistically significant(P＜0.05).Conclusion MALAT1 promotes astrocyte apoptosis and inhibits proliferation by regulating the MAPK/ERK1,2 signaling pathway.

This article reports a case of primary Müllerian adenosarcoma(MA)of the ovary admitted to the Obstetrics and Gynecology Hospital,Fudan University in 2022,reviews the literature on this rare disease,and shares the experience of its diagnosis and treatment.The patient was a 29-year-old unmarried woman who underwent laparoscopic resection of an ovarian lesion in another hospital.Intraoperatively,it was observed that"the right ovary was enlarged with a cauliflower-shaped mass at the lower pole,measuring about 11 cm×8 cm,unencapsulated,with a fish-like texture,which was completely excised and sent for examination."Postoperative consultation with a(tertiary)hospital in Beijing and our pathology department suggested the diagnosis of ovarian adenosarcoma.Therefore,we performed a comprehensive staged surgery for the patient,i.e.,laparoscopic right salpingo-oophorectomy,cystectomy of the left ovary,omentectomy,multiple peritoneal biopsies,and hysteroscopic resection of cervical canal lesions.The patient received four cycles of postoperative chemotherapy with paclitaxel and ifosfamide.After chemotherapy,the patient has been regular followed up and showed no signs of recurrence during the almost 2-year postoperative follow-up period.

Assessment is an indispensable and critical activity in the educational process. In the recent decades, with the birth and development of competence-based educational paradigm, the rationale behind assessment is shifting from "assessment of learning" to "assessment for learning". Workplace-based assessment (WPBA), which aims to improve the quality of both learning and teaching through assessment in real workplace circumstances, is a set of assessment tools that conforms to the new concepts of medical education. In this article, with the purpose to promote the application of WPBA and thus enhance the quality of dental education in our country, a thorough discussion is performed regarding the core principles, tools, advantages of WPBA as well as attentions that should be noted when applying WPBA. It is recommended to establish a longitudinal assessment system which employs various WPBA tools and assesses the development of students' competencies through the whole educational process. Such a dynamic assessment system may be helpful to provide all-rounded and competent dental talents who can eventually benefit the society.

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.

Objective To establish an analytical method combining gas chromatography-tandem mass spectrometry(GC-MS)and liquid chromatography-tandem mass spectrometry(LC-MS)to detect diazepam residue in bait nest materials and fish samples,and improve the pretreatment steps of samples to make the experimental results accurate and the sample processing convenient and fast.Methods Taking diazepam as the research object,samples were extracted with methanol and dichloromethane/n-hexane as solvents according to the type,and the supernatant was taken for detection after centrifugation.Results The diazepam standard sample showed a good linear relationship in the range of 10～10 000 ng/mL.The retention times in methanol and mixed solvent were 13.54 min and 13.83 min,respectively,and the correlation coefficients were 0.998 and 0.999,respectively;The limit of detection(LOD)of using methanol as extraction solvent was 2 ppb,and limit of quantification(LOQ)was 6 ppb.The LOD of using mixed solvents was 5 ppb,and the LOQ was 15 ppb.When the sample is a bait nest material,the GC-MS spectrum was clear and standard,and the peak shape was sharp and prominent;When the sample is biological specimen,the GC-MS spectra are disturbed by matrix,while the LC-MS data is more accurate and faster.Conclusion It is more appropriate to use GC-MS to determine the content of bait nest materialsamples,and it is more accurate to LC-MS to determine the content of fish samples due to the complexity of the organism.

Objective:To analyze the clinical characteristics and influencing factors of vascular involvement in Beh?et′s Disease (BD) to improve and provideunderstanding of insights for clinicians to better understand this condition.Methods:Clinical data from 220 BD patients admitted to the First Affiliated Hospital of Guangxi Medical University from January 2012 to May 2022 were collected. Clinical manifestations and laboratory findings were compared between BD patients with and without vascular involvement, as well as between those with improved conditions and those with progressive conditions. Binary logistic regression was used to analyze the influencing factors.Results:①The average age of the 220 BD patients was 36.5±15.3 years. Among them, 23 patients (10.5%) had vascular involvement, including 20 males (87.0%).②Compared to BD patients without vascular involvement, those with vascular involvement had significantly higher rates of smoking [6.1%(12/197) vs.34.8%(8/23), χ2=17.19, P<0.001], cardiac involvement [1.5%(3/197) vs. 13.0%(9/23), χ2=6.42, P=0.011], and elevated C-reactive protein(CRP) levels (78.3% vs. 56.3%, χ2=4.08, P=0.043).③ Among BD patients with vascular involvement, 11 cases (47.8%) had venous lesions, and 20 cases (87.0%) had arterial lesions, with 8 cases (34.8%) having both venous and arterial involvement. The most common type of vascular involvement was arterial dilatation (11 cases), mainly aneurysms (10 cases), and deep venous thrombosis of the lower extremities (7 cases).④The 23 BD patients with vascular involvement were followed up for an average of 18.3 months. Among them, 16 patients (69.6%) showed stable improvement, while 7 patients (30.4%) experienced disease progression, including 4 deaths (1 male and 3 females). A total of 91.3% (21/23) of the patients received glucocorticoid therapy. Immunosuppressive therapy was administered to 82.6% (19/23) of the patients, with 65.2% (10/23) receiving with cyclophosphamide and 43.5% receiving with thalidomide. Additionally, 13% (3/23) of the patients were treated with cyclosporine and methotrexate, respectively, and 8.7% (2/23) were treated with received mycophenolate mofetil. Anticoagulant therapy was given to 21.7% (5/23) of the patients, using either warfarin or low molecular weight heparin. Biologic therapy was administered to 17.4% (4/23) of the patients, and surgical intervention was performed in 43.5% (10/23) of the patients. ⑤Binary logistic regression analysis identified male gender [ OR(95% CI)=5.70(1.60, 20.90), P=0.009] as an indepe-ndent risk factor for vascular involvement in BD. Conclusion:The incidence of vascular involvement in BD is 10.5%, with a higher prevalence in males. Arterial involvement is more common than venous involvement, with arterial aneurysms being the most common manifestation. Clinicians should pay attention to CRP and total cholesterol levels in BD patients.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.