Objective:To construct a deep learning model based on YOLOV8-Seg algorithm to conduct automatic segmentation for the central gland(CG)and peripheral zone(PZ)of prostate,so as to provide a reliable basis for clinical diagnosis and treatment.Methods:The sequence data of T2-weighted imaging(T2WI)of horizontal relaxation time of 158 patients were selected from a public data set of magnetic resonance imaging(MRI)for prostate MRI,which was provided by the Charité University Hospital in Berlin,were selected.The all data were divided into a training set(109 cases),a validation set(16 cases),and a test set(33 cases)as the ratio of 7 to1 to 2.A lightweight asymmetric decoupled head(LADH)structure and the large kernel UniRepLKNetBlock module were integrated into the YOLOV8-Seg algorithm to enhance the capabilities of model's extraction feature,and the new model was named as YOLOV8-URLK.The assessment model with mean Average Precision(mAP),Dice Similarity Coefficient(DSC),95%Hausdorff Distance(HD95),and Average Surface Distance(ASD)was adopted to segment performance of the detection at prostate CG and PZ.Comparative experiments were conducted among that and YOLOV8-Seg,TransU-Net,and U-Net network,so as to validate the effectiveness of YOLOV8-URLK for detection and segmentation at prostate zone.Results:On the test set,the mAP@0.5(box)of YOLOV8-URLK model was 0.878,and the mean Dice coefficients,the mean HD95 values and the ASD values of that at CG and PZ were respectively(0.867,17.123 and 1.461)and(14.902,0.898 and 1.112).On the test set,the mAP@0.5(box)of YOLOV8-Seg model was 0.860,and the mean Dice coefficients of that at CG and PZ were 0.851 and 0.884,the mean HD95 values of that at them were 19.174 and 15.298,and ASD values of that at them were 1.781 and 1.219,respectively.On test set,the mean Dice coefficients of TransU-Net model at CG and PZ were 0.864 and 0.824,and the mean HD95 values of that at them were 18.134 and 19.402,and ASD values of that at them were 1.698 and 1.717,respectively.On the test set,the mean Dice coefficients of the U-Net model at CG and PZ were 0.857 and 0.690,and the mean HD95 values of that at them were 18.976 and 26.934,and ASD values of that at them were 1.753 and 2.135.The YOLOV8-URLK model can better reappear the segmentation trend of manual annotations.Conclusion:The YOLOV8-URLK model demonstrates higher precision in the detection and segmentation of MRI images of prostate,which were superior to YOLOV8-Seg,TransU-Net and U-Net.It can enhance the efficiency of the detection and segmentation.

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 explore the effect, postoperative mucosal pathological changes and molecular biological changes of reboot operation for type 2 inflammation chronic rhinosinusitis with nasal polyps（CRSwNP） patients, and to provide theoretical basis for the clinical application of this kind of operation. Methods:We collected 29 patients who were diagnosed with CRSwNP with type 2 inflammatino response and underwent Reboot surgery from June 2022 to August 2023, and 27 patients who were diagnosed with deviated septum and underwent simple submucosal resection of the septum as the control group. We conducted nasal symptom scoring, endoscopic sinusitis scoring, and CT scanning of the sinuses before and after surgery, as well as HE staining, immunohistochemical staining, and detection of inflammatory factors using Elisa kits at the time of surgery, 1, 3, and 6 months postoperatively. We also observed the ultrastructural changes using transmission electron microscopy and scanning electron microscopy, and performed proteomic analysis of the mucosa in the ethmoid sinus area of the sinusitis patients at the time of surgery and 6 months postoperatively. Results:After 6 months of postoperative follow-up, CT scores of the nasal cavity and sinuses had gradually decreased compared with the preoperative period. The VAS score of main symptoms, SNOT-22 score and Lund-Kennedy endoscopic score were decreased after 12 months follow-up. The histological morphology of the mucosa in the area of the screen was significantly improved compared with the preoperative period, with a reduction in the number of eosinophils. The levels of inflammatory factors such as IL-4 and IL-5 et al. in the mucosa of the area of the screen were gradually reduced compared with the preoperative period. The histological morphology, ultrastructure, and cilia structure of the mucosa in the area of the screen were gradually improved compared with the preoperative period, though not recovered completely. The number of CD4⁺T and CD8⁺T cells not changed significantly before and after the surgery yet. By conducting proteomic analysis of the ethmoidal sinus mucosa before and after surgery, differential proteins were selected, and bioinformatics analysis was conducted on the differentially expressed proteins. By using cytoHubba to identify hub genes and intersecting them with the genes related to chronic sinusitis, we found that MMP9 expression increased in non-type 2 CRS and type 2 CRS in sequence, while ACTC1 expression decreased in non-tpye 2 CRS and type 2 CRS in sequence. Conclusion:Reboot surgery can improve the postoperative symptoms and signs of patients, improve the pathological morphology of the mucosa, and influence the expression of protein after surgery. However, the surgery may not have a significant impact on the distribution of T cell subpopulations and inflammation signal pathway in the nasal mucosa.
Humans ; Sinusitis/metabolism* ; Nasal Polyps/metabolism* ; Nasal Mucosa/ultrastructure* ; Chronic Disease ; Rhinitis/complications* ; Inflammation ; Male ; Female ; Postoperative Period ; Adult ; Interleukin-5/metabolism* ; Interleukin-4/metabolism* ; Middle Aged ; Proteomics ; Rhinosinusitis

ObjectiveTo optimize the processing technology of honey bran-fried Rosae Laevigatae Fructus（h-RLF）， formulate relevant quality standards， and explore its improving effect and mechanism on mice with ulcerative colitis（UC） induced by dextran sodium sulfate（DSS）. MethodsTaking the content of polysaccharides and water-soluble extract as the indexes， L₉（3⁴） orthogonal test was used to optimize parameters of the amount of honey bran， frying time and frying temperature. The quality of 15 batches of h-RLF decoction pieces was evaluated according to the optimized process， and the inspection limit standard was preliminarily drawn up. Eighty SPF male Kunming mice were randomly divided into 8 groups， including the blank group， model group， mesalazine group（0.13 g·kg^-1）， RLF group（3.77 g·kg^-1）， bran-fried RLF group（3.77 g·kg^-1）， h-RLF low， medium and high dose groups（1.89， 3.77， 7.54 g·kg^-1）， with 10 mice in each group. The mice in the blank group were free to drink pure water， and the other groups were free to drink 3% DSS solution for 7 days to prepare UC mouse model. Each treatment group was given corresponding drugs by intragastric administration， and the blank and model groups were given equal volume of normal saline. The body weight of mice was recorded daily and the disease activity index（DAI） was calculated. After the administration， the colon tissues of mice were collected to observe the pathological changes by hematoxylin-eosin（HE） staining. The levels of tumor necrosis factor（TNF）-α， interleukin（IL）-1β， IL-6 and IL-10 in the colon of mice were detected by enzyme-linked immunosorbent assay（ELISA）. Western blot was used to detect the expression levels of phosphorylation nuclear transcription factor-κB p65（p-NF-κB p65）， Toll-like receptor 4（TLR4）， p-p38 mitogen-activated protein kinase（p-p38 MAPK）， p-extracellular signal-regulated kinase（p-ERK） and p-c-Jun N-terminal kinase（p-JNK） proteins in colon tissues. ResultsThe optimum processing technology of h-RLF was 20 g honey bran per 100 g RLF， and stir-frying at 200 ℃ for 8 min. The limit standard under the examination of h-RLF was preliminarily formulated as follows：the polysaccharide content should not be less than 25% based on anhydrous glucose（C₆H₁₂O₆）， the content of water-soluble extract should not be less than 38%， the moisture content should not be more than 12.0%， the total ash content should not be more than 5.0%， and the acid-insoluble ash content should not be more than 1.0%. The cluster heat map analysis showed that the quality of RLF from Huanggang， Hubei province was better. Animal experiments showed that compared with the blank group， the DAI score of the model group was significantly increased， the levels of TNF-α， IL-1β and IL-6 in the colon tissue were significantly increased， the IL-10 level was significantly decreased， the colonic mucosa was seriously damaged， accompanied by a large number of inflammatory cell infiltration， tissue congestion and a significant reduction in glands， and the expression levels of p-NF-κB p65， TLR4， p-p38 MAPK， p-ERK and p-JNK proteins were significantly increased（P<0.01）. Compared with the model group， each administration group could alleviate the symptoms of colonic ulcer， the structure of colonic crypt was basically intact， and the glands were arranged in an orderly manner. Among them， the high-dose group of h-RLF had a better effect， which could significantly reduce the DAI score and the levels of TNF-α， IL-1β and IL-6 in colon tissue（P<0.01）， and significantly increase the level of IL-10（P<0.01）， alleviate the colonic mucosal injury， and effectively inhibit the expression levels of p-NF-κB p65， TLR4， p-p38 MAPK， p-ERK and p-JNK proteins（P<0.01）. ConclusionThe key parameters of the processing technology of h-RLF are determined， and the optimized technology is stable and feasible. The established quality standard is simple and reliable， and can be used for the quality control. h-RLF can effectively alleviate DSS-induced UC， and its mechanism may be related to inhibiting the activation of NF-κB/TLR4/MAPK pathway.

Objective:To construct a deep learning model based on YOLOV8-Seg algorithm to conduct automatic segmentation for the central gland(CG)and peripheral zone(PZ)of prostate,so as to provide a reliable basis for clinical diagnosis and treatment.Methods:The sequence data of T2-weighted imaging(T2WI)of horizontal relaxation time of 158 patients were selected from a public data set of magnetic resonance imaging(MRI)for prostate MRI,which was provided by the Charité University Hospital in Berlin,were selected.The all data were divided into a training set(109 cases),a validation set(16 cases),and a test set(33 cases)as the ratio of 7 to1 to 2.A lightweight asymmetric decoupled head(LADH)structure and the large kernel UniRepLKNetBlock module were integrated into the YOLOV8-Seg algorithm to enhance the capabilities of model's extraction feature,and the new model was named as YOLOV8-URLK.The assessment model with mean Average Precision(mAP),Dice Similarity Coefficient(DSC),95%Hausdorff Distance(HD95),and Average Surface Distance(ASD)was adopted to segment performance of the detection at prostate CG and PZ.Comparative experiments were conducted among that and YOLOV8-Seg,TransU-Net,and U-Net network,so as to validate the effectiveness of YOLOV8-URLK for detection and segmentation at prostate zone.Results:On the test set,the mAP@0.5(box)of YOLOV8-URLK model was 0.878,and the mean Dice coefficients,the mean HD95 values and the ASD values of that at CG and PZ were respectively(0.867,17.123 and 1.461)and(14.902,0.898 and 1.112).On the test set,the mAP@0.5(box)of YOLOV8-Seg model was 0.860,and the mean Dice coefficients of that at CG and PZ were 0.851 and 0.884,the mean HD95 values of that at them were 19.174 and 15.298,and ASD values of that at them were 1.781 and 1.219,respectively.On test set,the mean Dice coefficients of TransU-Net model at CG and PZ were 0.864 and 0.824,and the mean HD95 values of that at them were 18.134 and 19.402,and ASD values of that at them were 1.698 and 1.717,respectively.On the test set,the mean Dice coefficients of the U-Net model at CG and PZ were 0.857 and 0.690,and the mean HD95 values of that at them were 18.976 and 26.934,and ASD values of that at them were 1.753 and 2.135.The YOLOV8-URLK model can better reappear the segmentation trend of manual annotations.Conclusion:The YOLOV8-URLK model demonstrates higher precision in the detection and segmentation of MRI images of prostate,which were superior to YOLOV8-Seg,TransU-Net and U-Net.It can enhance the efficiency of the detection and segmentation.

Objective:To study the correlation between iodine level in drinking water and conventional water quality indicators.Methods:From June 2017 to July 2018, a simple random sampling method was used to select administrative villages (communities) from 88 counties (cities, districts) in Guizhou Province with a sampling size greater than 5%. One drinking water sample was collected from each administrative village (community), and conventional water quality indicators (including fluorine, aluminum, mercury, selenium, sulfate, total dissolved solids and total hardness) were tested in accordance with the methods outlined in the "Standards for Drinking Water Quality" (GB 5749-2006). The cerium sulfate catalytic spectrophotometric method was employed to test drinking water iodine level. Spearman method was utilized to analyze the correlation between iodine level in drinking water and conventional water quality indicators.Results:A total of 904 drinking water samples were tested, with a median iodine level of 1.90 μg/L and a range of 0.10 - 36.70 μg/L. There were 899 administrative villages (communities) with a water iodine level of less than 10 μg/L, accounting for 99.45%. There were only 5 administrative villages (communities) with a water iodine level of greater than 10 μg/L, accounting for 0.55%. Correlation analysis revealed that in Guizhou Province, the iodine level in drinking water was positively correlated with the levels of fluorine, aluminum, sulfate, total dissolved solids, and total hardness [correlation coefficients ( r) = 0.11, 0.07, 0.07, 0.08, 0.07, P < 0.05], and was a negatively correlated with mercury and selenium levels ( r = - 0.12, - 0.12, P < 0.001). Conclusions:External environment in Guizhou Province is generally deficient in iodine. The iodine level in drinking water is positively correlated with the levels of fluorine, aluminum, sulfate, total dissolved solids, and total hardness, and negatively correlated with the levels of mercury and selenium.

Objective:To investigate the distribution of iodine in drinking water in external environment and the iodine nutrition status of key population in Guizhou Province, and to provide a basis for further precise implementation of prevention and control strategy of "adapting to local conditions, providing classified guidance, and scientifically supplementing iodine".Methods:From April to September 2023, a survey on the iodine level of residents' drinking water was conducted in administrative villages (neighborhood committees, hereafter referred to as administrative village) in 88 counties (districts) of 9 cities (prefectures) in Guizhou Province. At the same time, one township (town) was selected from each of the five districts of east, west, south, north and center of each county (district). From each township (town), 40 non-boarding students aged 8 - 10 years old from one primary school and 20 pregnant women were selected. Household edible salt sample and once random urine sample were collected for detection of salt iodine and urinary iodine levels.Results:The survey covered 16 492 administrative villages in 1 481 townships (towns), 88 counties (districts), 9 cities (prefectures) throughout the province. A total of 51 531 samples of residents' drinking water were collected, with a median water iodine level of 1.50 μg/L and a range of 0.01 - 98.70 μg/L. Among them, there were 16 284, 208, and 0 administrative villages with median water iodine levels < 10, 10 - < 40, and 40 - 100 μg/L, respectively, accounting for 98.74%, 1.26%, and 0, respectively. A total of 26 491 samples of household edible salt were collected from children and pregnant women, with a median salt iodine levels of 27.6 mg/kg. The coverage rate of iodized salt was 99.6% (26 395/26 491), and the qualified iodized salt consumption rate was 97.0% (25 708/26 491). And 17 657 urine samples from children and 8 834 urine samples from pregnant women were collected, with median urinary iodine levels of 222.1 and 164.4 μg/L, respectively. There were statistically significant differences in urinary iodine levels among children of different genders and ages ( Z = - 6.08, H = 19.17, P < 0.001). The results of correlation analysis showed that there was no correlation between urinary iodine of children and pregnant women and water iodine ( r = 0.01 0.02, P > 0.05), while urinary iodine of pregnant women was positively correlated with salt iodine ( r = 0.02, P = 0.041). Conclusions:The external environment of Guizhou Province is generally deficient in iodine. Under the universal salt iodization policy, children have sufficient iodine nutrition, and pregnant women have an appropriate level of iodine nutrition. Comprehensive prevention and control measures, mainly based on universal salt iodization, should be continuously carried out to eliminate the harm of iodine deficiency.

Purpose To investigate the predictive value of MRI-based peritumoral edema(PE)of lymph node(LN)metastasis burden in patient with invasive breast cancer.Materials and Methods A total of 213 patients in Sichuan Cancer Hospital with invasive breast cancer confirmed by pathology after surgery were enrolled retrospectively from September 2017 to February 2019.Based on the status and number of LN metastases proved by axillary surgery pathology,all patients were divided into high-burden LN metastasis group(n=47 cases,total number of metastatic LN greater than 2)and low-burden LN metastasis group(n=166 cases,total number of metastatic LN less than or equal to 2).T2WI features,including PE type and PE degree,were analyzed.On DCE-MRI,MRI features of breast cancer were analyzed based on BI-RADS.The predictive value of T2WI features and MRI features for LN metastasis burden was assessed by univariate analysis,and the statistically significant features identified by univariate analysis were further subjected to multivariate Logistic regression analysis to establish a prediction model.The model's performance for LN metastasis burden prediction was evaluated via receiver operating characteristic curve,and the predictive metrics were calculated based on the Youden index.Results The rate of high-burden LN metastasis was 22.1%(47/213).The results of univariate analysis showed that PE degree(OR=18.70,P＜0.001),PE type(OR=16.00,P＜0.001),tumor maximum diameter(OR=1.40,P=0.025),and tumor minimum diameter(OR=2.01,P=0.003)were predictive features for high-burden LN metastasis.The multivariate regression analysis showed that the peritumoral edema features,including PE degree(OR=8.02,P＜0.001)and PE type(OR=5.53,P=0.001)were independent predictive features for high-burden LN metastasis.The area under the curve of the final predictive model was 0.842.The diagnostic sensitivity was 0.766,the specificity was 0.861,the positive predictive value was 0.610,and the negative predictive value was 0.929.Conclusion The PE on preoperative MRI have good predictive performance for LN metastasis burden prediction in patient with invasive breast cancer,particularly for low-burden LN metastasis.

Objective:To study the correlation between iodine level in drinking water and conventional water quality indicators.Methods:From June 2017 to July 2018, a simple random sampling method was used to select administrative villages (communities) from 88 counties (cities, districts) in Guizhou Province with a sampling size greater than 5%. One drinking water sample was collected from each administrative village (community), and conventional water quality indicators (including fluorine, aluminum, mercury, selenium, sulfate, total dissolved solids and total hardness) were tested in accordance with the methods outlined in the "Standards for Drinking Water Quality" (GB 5749-2006). The cerium sulfate catalytic spectrophotometric method was employed to test drinking water iodine level. Spearman method was utilized to analyze the correlation between iodine level in drinking water and conventional water quality indicators.Results:A total of 904 drinking water samples were tested, with a median iodine level of 1.90 μg/L and a range of 0.10 - 36.70 μg/L. There were 899 administrative villages (communities) with a water iodine level of less than 10 μg/L, accounting for 99.45%. There were only 5 administrative villages (communities) with a water iodine level of greater than 10 μg/L, accounting for 0.55%. Correlation analysis revealed that in Guizhou Province, the iodine level in drinking water was positively correlated with the levels of fluorine, aluminum, sulfate, total dissolved solids, and total hardness [correlation coefficients ( r) = 0.11, 0.07, 0.07, 0.08, 0.07, P < 0.05], and was a negatively correlated with mercury and selenium levels ( r = - 0.12, - 0.12, P < 0.001). Conclusions:External environment in Guizhou Province is generally deficient in iodine. The iodine level in drinking water is positively correlated with the levels of fluorine, aluminum, sulfate, total dissolved solids, and total hardness, and negatively correlated with the levels of mercury and selenium.

Objective:To investigate the distribution of iodine in drinking water in external environment and the iodine nutrition status of key population in Guizhou Province, and to provide a basis for further precise implementation of prevention and control strategy of "adapting to local conditions, providing classified guidance, and scientifically supplementing iodine".Methods:From April to September 2023, a survey on the iodine level of residents' drinking water was conducted in administrative villages (neighborhood committees, hereafter referred to as administrative village) in 88 counties (districts) of 9 cities (prefectures) in Guizhou Province. At the same time, one township (town) was selected from each of the five districts of east, west, south, north and center of each county (district). From each township (town), 40 non-boarding students aged 8 - 10 years old from one primary school and 20 pregnant women were selected. Household edible salt sample and once random urine sample were collected for detection of salt iodine and urinary iodine levels.Results:The survey covered 16 492 administrative villages in 1 481 townships (towns), 88 counties (districts), 9 cities (prefectures) throughout the province. A total of 51 531 samples of residents' drinking water were collected, with a median water iodine level of 1.50 μg/L and a range of 0.01 - 98.70 μg/L. Among them, there were 16 284, 208, and 0 administrative villages with median water iodine levels < 10, 10 - < 40, and 40 - 100 μg/L, respectively, accounting for 98.74%, 1.26%, and 0, respectively. A total of 26 491 samples of household edible salt were collected from children and pregnant women, with a median salt iodine levels of 27.6 mg/kg. The coverage rate of iodized salt was 99.6% (26 395/26 491), and the qualified iodized salt consumption rate was 97.0% (25 708/26 491). And 17 657 urine samples from children and 8 834 urine samples from pregnant women were collected, with median urinary iodine levels of 222.1 and 164.4 μg/L, respectively. There were statistically significant differences in urinary iodine levels among children of different genders and ages ( Z = - 6.08, H = 19.17, P < 0.001). The results of correlation analysis showed that there was no correlation between urinary iodine of children and pregnant women and water iodine ( r = 0.01 0.02, P > 0.05), while urinary iodine of pregnant women was positively correlated with salt iodine ( r = 0.02, P = 0.041). Conclusions:The external environment of Guizhou Province is generally deficient in iodine. Under the universal salt iodization policy, children have sufficient iodine nutrition, and pregnant women have an appropriate level of iodine nutrition. Comprehensive prevention and control measures, mainly based on universal salt iodization, should be continuously carried out to eliminate the harm of iodine deficiency.