ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

Radiotherapy is the first treatment choice for nasopharyngeal carcinoma. With the rapid development of image-guided radiotherapy, adaptive radiotherapy (ART) has become widely available in clinical practice. ART may be implemented to monitor the anatomical or physiological variations of patients using dynamic imaging technology and feedback information during the treatment course, including geometric changes (size, shape, and position) of tumor and normal organs. ART also allows the modification of the treatment plan to accurately deliver the maximize dose to target and minimize normal tissue explosion. This review discusses the physics basis of ART and its state-of-art application and potential pitfalls.

Three-dimensional tooth segmentation is the segmentation of single-tooth models from a digital dental model. It is an important foundation for diagnosis, planning, treatment and customized appliance manufacturing in digital orthodontics. With the deep integration of artificial intelligence technology and big data from stomatology, the use of deep learning algorithms to assist 3D tooth segmentation has gradually become mainstream. This review summarizes the current situation of deep learning algorithms that assist 3D tooth segmentation from the aspects of dataset establishment, algorithm architecture, algorithm performance, innovation and advantages, deficiencies of current research and prospects. The results of the literature review showed that deep learning tooth segmentation methods could obtain an accuracy of more than 95% and had good robustness. However, the segmentation of complex dental models, operation time and richness of the training database still need to be improved. Research and development of the "consumption reduction and strong core" algorithm, establishment of an authoritative data sample base with multiple centers, and expansion of data application depth and breadth will lead to further development in this field.

OBJECTIVE To explore the efficacy of alfacalcidol combined with conventional antihypertensive and lipid- lowering drugs on liver and kidney function， serum inflammatory cytokines and renin-angiotensin system（RAS） in hypertensive patients with renal impairment. METHODS A total of 200 hypertensive patients with renal impairment who were treated in the department of nephrology in our hospital from December 2017 to December 2020 were selected and randomly divided into control group and observation group， with 100 cases in each group. Both groups of patients were treated with conventional antihypertensive and lipid-lowering drugs for a total of 14 weeks， patients in the observation group were additionally treated with oral alfacalcidol after 2 weeks of treatment （0.25 μg each time， once a day， for a total of 12 weeks）. The levels of liver function indexes [aspartate aminotransferase （AST）， alanine aminotransferase （ALT）]， renal function indexes [blood calcium， blood phosphorus， blood urea nitrogen （BUN）， cystatin C （Cys-C）， serum creatinine （Scr）， urine microalbumin （mAlb）， β2-microglobulin （β2-MG）， urinary N- acetyl β-D-glucosaminidase （NAG）， 24 h urinary protein]， inflammatory factors [serum interleukin 6 （IL-6）， tumor necrosis factor α （TNF-α）， hypersensitive C-reactive protein （hs-CRP）] and RAS activity indexes [renin， angiotensin Ⅰ（Ang Ⅰ）， Ang Ⅱ and aldosterone] were observed in 2 groups before and after treatment， and the occurrence of adverse drug reactions was recorded during treatment. RESULTS There was no statistical significance in the levels of detection indexes between 2 groups before treatment （P＞0.05）. After treatment， the level of blood calcium in the observation group was significantly higher than before treatment （P＜0.05）， but remained at clinically normal level. Compared with before treatment， the levels of Cys-C， Scr， BUN， urine mAlb， β2-MG， NAG and 24 h urinary protein， hs-CRP， IL-6， TNF-α， renin， Ang Ⅰ， Ang Ⅱ and aldosterone were significantly decreased in the observation group after treatment （P＜0.05）. After treatment， the level of blood calcium in observation group was significantly higher than control group （P＜0.05）. Additionally， the levels of Cys-C， Scr， BUN，urine mAlb， β2-MG， NAG， 24 h urinary protein， hs-CRP， IL-6， TNF-α， renin， Ang Ⅰ， Ang Ⅱ and aldosterone were significantly lower than control group （P＜0.05）. There was no statistical significance in the incidence of adverse drug reactions between 2 groups during treatment （P＞0.05）. CONCLUSIONS Alfacalcidol combined with routine therapy of antihypertensive and lipid-lowering drugs could effectively improve liver and renal functions， inhibit inflammation and RAS activity in hypertensive patients with renal impairment， with a favorable safety.

Ulcerative colitis(UC)is characterized by chronic relapsing intestinal inflammation.Currently,there is no effective treatment for the disease.According to our preliminary data,1,8-cineole,which is the main active compound of Amomum compactum Sol.ex Maton volatile oil and an effective drug for the treat-ment of pneumonia,showed remarkable anti-inflammatory effects on colitis pathogenesis.However,its mechanism of action and direct targets remain unclear.This study investigated the direct targets and mechanism through which 1,8-cineole exerts its anti-inflammatory effects using a dextran sulfate so-dium salt-induced colitis mouse model.The effects of 1,8-cineole on macrophage polarization were investigated using activated bone marrow-derived macrophages and RAW264.7 cells.In addition,1,8-cineole targets were revealed by drug affinity responsive target stability,thermal shift assay,cellular thermal shift assay,and heat shock protein 90(HSP90)adenosine triphosphatases(ATPase)activity assays.The results showed that 1,8-cineole exhibited powerful anti-inflammatory properties in vitro and in vivo by inhibiting the macrophage M1 polarization and protecting intestinal barrier function.Mech-anistically,1,8-cineole directly interacted with HSP90 and decreased its ATPase activity,also inhibited nucleotide-binding and oligomerization domain-,leucine rich repeat-,and pyrin domain-containing 3(NLRP3)binding to HSP90 and suppressor of G-two allele of SKP1(SGT1)and suppressed NLRP3 inflammasome activation in macrophages.These results demonstrated that 1,8-cineole is a potential drug candidate for UC treatment.

Objective The diagnosis of nasal fractures poses challenges in forensic clinical evaluation.This study aims to develop and enhance an artificial intelligence-based model for nasal fracture recognition,evaluate its performance,and provide assistance and support for forensic clinical identification.Methods Multi-center nasal CT images were selected and screened according to the consensus standards set by Chinese experts in nasal CT examination and diagnosis.A recognition model was constructed,followed by external verification and evaluation.Additionally,the diagnostic capabilities of qualified appraisers/doctors with different professional titles(primary,intermediate,and senior)were compared with the performance of the intelligent recognition model.The accuracy,sensitivity,specificity),and negative predictive value(NP)of the intelligent recognition model were comprehensively evaluated.Results The intelligent recognition model exhibited high diagnostic efficiency and stability.It improved the diagnostic accuracy of radiologists and appraisers in detecting nasal fractures while effectively bridging the gap between inexperienced doctors/appraisers and experienced ones.Conclusion The intelligent recognition model for nasal fractures can assist appraisers in enhancing their ability to locate such fractures on CT images and improve work efficiency while enhancing appraisal opinions'accuracy and scientificity.

Objective To conduct a comprehensive visual analysis of the application of Artificial Intelligence(AI)in forensic medicine using bibliometric tools so as to create knowledge maps of cooperation network,research hotspots,important findings,and potential future trends in this field.Methods The Web of Science(WoSCC)was utilized as the primary data source,search formula incorporating AI and forensic medicine as core subject words was constructed,resulting in a dataset comprising 2 287 literature records.Vosviewer,Citespace,and Bibliometrix were employed for analyzing various aspects such as cooperation network,keyword co-occurrence networks,clustering dynamics,clusters,centrality degree and thematic strategic coordinate charts.These analyses facilitated the creation of corresponding visual maps.Results The collaboration among authors still requires further strengthening;however significant groups have emerged among institutions and countries.Research hotspots and important findings predominantly revolve around algorithmic applications.Furthermore,"identification"related research appears to become a prominent future research trend.Conclusion By employing bibliometric analysis techniques on the application of artificial intelligence in forensic medicine domain,this study successfully elucidats cooperation networks,research hotspots,important findings,future research directions,and provides objective support through empirical evidence for related studies.

Objective:To investigate the clinical and cardiac magnetic resonance (CMR) characteristics of heart involvement in patients with Fabry disease (AFD).Methods:From January 2018 to March 2021, eight AFD patients [3 males and 5 females, mean age (50±11) years old, range 26-60 years old] confirmed by genetic testing or pathology in Fuwai Hospital were retrospectively included in this study. At the same time, sixteen patients with hypertrophic cardiomyopathy (HCM) [6 males and 10 females, mean age (46±15) years old] and 16 healthy individuals [6 males and 10 females, mean age (51±11) years old] were included as controls. The clinical baseline data and CMR data of the patients were collected and analyzed. The CMR data were analyzed using the software CVI42, with the corresponding parameters automatically generated. One-way ANOVA or Kruskal-Wallis test was used to compare the differences in the parameters among the three groups. Independent-samples t test, Fisher precise test or Mann-Whitney U test were used for the comparison between each two groups. Results:Statistically significant difference was found in renal insufficiency between the HCM group and the AFD group; No other significant difference was found in other clinical factors and ECG results (all P>0.05). CMR results showed that in the AFD group, there were 5 cases with symmetric or roughly symmetric hypertrophy, and 3 with asymmetric hypertrophy. The late gadolinium enhancement (LGE) showed myocardial enhancement in 5 patients, mainly presenting as multiple intermural enhancement, and partially as local subendocardial enhancement. In the HCM group, fourteen cases suffered mainly asymmetric ventricular septal thickening, with or without thickening of other parts of left ventricular wall; and 2 cases had thickening of middle and distal part of the left ventricle. The LGE showed myocardial enhancement in 14 patients, which manifested as focal or patchy enhancement in hypertrophic myocardium, including focal enhancement in the right ventricular insertion of ventricular septum (more common) and subendocardial enhancement in the middle and far segments of left ventricle. Statistically significant difference was found in the differences between the left atrial anterior posterior diameter, the maximum wall thickness of left ventricular, the left ventricular myocardial mass index (LVMI) and the native T 1 value among the three groups (all P<0.001). However, there was no statistically significant difference in the left atrial anterior posterior diameter and the maximum wall thickness of left ventricular between AFD group and HCM group ( P>0.05). The LVMI in AFD group was higher than that in healthy group and HCM group (all P<0.05). Significant difference was found in the native T 1 value among the three groups, with the native T 1 value of the AFD group [(1 177.4±46.0) ms] was significantly lower than that of the healthy group [(1 244.5±34.3) ms] and the HCM group [(1 278.8±41.6) ms], with ( F=13.10, P<0.001). Conclusions:The clinical characteristics of AFD and HCM are quite similar. When AFD is suspected, CMR imaging should be the first choice for imaging examination. Especially, T 1 mapping imaging can provide important information for the diagnosis of AFD.

Endogenously eliminating the hematoma is a favorable strategy in addressing intracerebral hemorrhage (ICH). This study sought to determine the role of retinoid X receptor-α (RXR-α) in the context of hematoma absorption after ICH. Our results showed that pharmacologically activating RXR-α with bexarotene significantly accelerated hematoma clearance and alleviated neurological dysfunction after ICH. RXR-α was expressed in microglia/macrophages, neurons, and astrocytes. Mechanistically, bexarotene promoted the nuclear translocation of RXR-α and PPAR-γ, as well as reducing neuroinflammation by modulating microglia/macrophage reprograming from the M1 into the M2 phenotype. Furthermore, all the beneficial effects of RXR-α in ICH were reversed by the PPAR-γ inhibitor GW9662. In conclusion, the pharmacological activation of RXR-α confers robust neuroprotection against ICH by accelerating hematoma clearance and repolarizing microglia/macrophages towards the M2 phenotype through PPAR-γ-related mechanisms. Our data support the notion that RXR-α might be a promising therapeutic target for ICH.
Anilides/pharmacology* ; Cerebral Hemorrhage/drug therapy* ; Hematoma/drug therapy* ; Humans ; Macrophages ; Microglia ; Neuroprotection ; PPAR gamma ; Retinoid X Receptor alpha

Endogenously eliminating the hematoma is a favorable strategy in addressing intracerebral hemorrhage (ICH). This study sought to determine the role of retinoid X receptor-α (RXR-α) in the context of hematoma absorption after ICH. Our results showed that pharmacologically activating RXR-α with bexarotene significantly accelerated hematoma clearance and alleviated neurological dysfunction after ICH. RXR-α was expressed in microglia/macrophages, neurons, and astrocytes. Mechanistically, bexarotene promoted the nuclear translocation of RXR-α and PPAR-γ, as well as reducing neuroinflammation by modulating microglia/macrophage reprograming from the M1 into the M2 phenotype. Furthermore, all the beneficial effects of RXR-α in ICH were reversed by the PPAR-γ inhibitor GW9662. In conclusion, the pharmacological activation of RXR-α confers robust neuroprotection against ICH by accelerating hematoma clearance and repolarizing microglia/macrophages towards the M2 phenotype through PPAR-γ-related mechanisms. Our data support the notion that RXR-α might be a promising therapeutic target for ICH.