Objective: To investigate the clinical efficacy of oral microscope-assisted microflap periodontal bone grafting in treating class Ⅱ furcation involvement in mandibular molars, and to provide clinical evidence for its treatment in furcation involvement. Methods: This study was reviewed and approved by the institutional ethics committee, and informed consent was obtained from all patients. Sixty mandibular molars with class II furcation involvement caused by periodontitis were enrolled in a randomized controlled clinical study, utilizing a random number table method. Patients were categorized into a control group (n=30) and an experimental group (n=30) based on the surgical procedure employed. The control group underwent periodontal flap surgery with an internal oblique incision and vertical incision; this procedure was performed without the aid of a microscope. Conversely, the experimental group underwent micro flap periodontal bone grafting surgery without vertical incision; an oral microscope was used for this procedure. Both groups were analyzed 6 months after surgery, and postoperative gingival recession (GR), probing depth (PD), bleeding index (BI), vertical bone height increase (VBHI), pain level, and complications were recorded. Results: Both groups showed improvement in PD and BI after 6 months compared to preoperative levels: the control group had a preoperative PD of (7.33 ± 1.72 mm) and a 6-month postoperative PD of (3.37 ± 0.96 mm), with statistically significant differences (P<0.001). The preoperative PD of the experimental group was (7.27 ± 1.57 mm), and the 6-month postoperative PD was (3.00 ± 0.69 mm), with statistically significant differences (P<0.001). The BI of the control group decreased from 3.03 ± 1.03 before surgery to 0.77 ± 0.82 at 6 months after surgery (P<0.001), while the BI of the experimental group decreased from 3.20 ± 1.09 before surgery to 0.73 ± 0.64 at 6 months after surgery (P<0.001), and the differences were statistically significant. The experimental group showed a significant improvement in GR (0.70 ± 0.59 mm) compared to preoperative GR (1.26 ± 0.94 mm) at 6 months after surgery (P=0.007), while the control group showed an increase in GR (1.37 ± 0.89 mm) at 6 months after surgery compared to preoperative GR (1.13 ± 0.97 mm), but the difference was not statistically significant (P=0.337). The inter group comparison results showed that there were no statistically significant differences in PD and BI between the two groups at 6 months after surgery (PD: P=0.096, BI: P=0.861); The GR of the experimental group was lower than that of the control group, and the difference was statistically significant (P=0.001). There was no statistically significant difference in postoperative VBHI between the two groups (P=0.128). The pain level scores of the experimental group were lower than those of the control group at 4 and 24 hours after surgery (P<0.001). None of the patients experienced complications. Conclusion Microflap periodontal bone grafting assisted by an oral microscope effectively improves the periodontal condition of patients with grade Ⅱ root bifurcation lesions of mandibular molars, and the bone grafting effect is good, with mild pain and good safety.

Objective To investigate the therapeutic effects of combined magnetic and electrical stimulation with an"intelligent exercise prescription"and novel matrix radiofrequency therapy in patients with pelvic organ prolapse(POP).Methods A total of 158 patients with POP who received treatment at the Gynecological Pelvic Floor Rehabilitation Center of the Eighth Affiliated Hospital of Southern Medical University between October 2022 and July 2025 were retrospectively enrolled and divided into an observation group(n=64)and a control group(n=94)based on their treatment plans.The control group underwent magnetic and electrical stimulation combined with an"intelligent exercise prescription"regimen.Specifically,patients received 10 sessions of electrical stimulation,5 sessions of magnetic stimulation,and performed 15～20 minutes of daily home exercise training guided by the"intelligent exercise prescription."The observation group received,in addition to the aforementioned treatments,four sessions of novel matrix radiofrequency therapy.Changes in the muscle strength grades of type Ⅰ and type Ⅱ pelvic floor muscles,Glazer surface electromyography(EMG)values,and POP-Q staging were compared between the two groups before and after treatment.Results After treatment,both groups demonstrated significant improvements in type Ⅰ and type Ⅱ muscle fiber strength compared to baseline(all P<0.05),with the observation group showing greater improvement in type Ⅰ muscle fiber strength than the control group(P<0.05).The muscle potential values of the observation group during rapid contraction,tense contraction,and endurance contraction stages were markedly increased compared to pre-treatment levels.Moreover,the muscle potential values during the pre-resting stage were significantly reduced after treatment(P<0.05).In the observation group,POP-Q grades of the anterior vaginal wall,uterus,and posterior vaginal wall were all significantly lower post-treatment than pre-treatment(all P<0.05).However,no statistically significant differences were observed between the observation group and the control group in these parameters(P>0.05).Both groups exhibited relatively high compliance rates(both≥75.0%),with no significant difference between them(P>0.05).The treatment cost for the observation group was significantly higher than that for the control group(P<0.05).Conclusions The combination of magneto-electrical stimulation,an"intelligent exercise prescription,"and novel matrix radiofrequency therapy can significantly improve pelvic floor muscle strength and muscle potential values in the short term,compared to pre-treatment levels.This integrated approach also effectively alleviates the prolapse of the anterior vaginal wall,uterus,and posterior vaginal wall.Furthermore,the combination of magnetic and electrical stimulation,"intelligent exercise prescription,"and matrix radiofrequency therapy demonstrates superior efficacy in enhancing type Ⅰ pelvic floor muscle fiber strength when compared to the combination of magnetic and electrical stimulation with"intelligent exercise prescription"alone.However,this treatment protocol entails a relatively high economic burden,and its clinical application should be carefully evaluated in consideration of patients'functional needs and financial conditions.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.

Brain age prediction is of great significance to the in-depth understanding of individual neurodevelopment,early diagnosis of neuropsychiatric disorders,and formulation of personalized treatment plans. With the continuous advancement of deep learning,more and more researches focus on using such algorithms to predict brain age. Compared with traditional regression algorithms,deep learning which has the advantages of complex pattern learning,end-to-end learning and high adaptability can more accurately reveal the neuropathological mechanisms of neuropsychiatric disorders,and provide more precise tools for clinical assessment,assisted diagnosis and prognosis prediction. Herein the study reviews the recent advances in the application of deep learning algorithms in brain age prediction,introduces the achievements in deep learning model optimization,multimodal data inputs and interpretability studies for brain age prediction,discusses the methods for the establishment of integrated deep learning architectures and the future challenges of developing unified benchmarking,and provides an outlook on the application of deep learning in brain age prediction.

Objective To investigate the therapeutic effects of combined magnetic and electrical stimulation with an"intelligent exercise prescription"and novel matrix radiofrequency therapy in patients with pelvic organ prolapse(POP).Methods A total of 158 patients with POP who received treatment at the Gynecological Pelvic Floor Rehabilitation Center of the Eighth Affiliated Hospital of Southern Medical University between October 2022 and July 2025 were retrospectively enrolled and divided into an observation group(n=64)and a control group(n=94)based on their treatment plans.The control group underwent magnetic and electrical stimulation combined with an"intelligent exercise prescription"regimen.Specifically,patients received 10 sessions of electrical stimulation,5 sessions of magnetic stimulation,and performed 15～20 minutes of daily home exercise training guided by the"intelligent exercise prescription."The observation group received,in addition to the aforementioned treatments,four sessions of novel matrix radiofrequency therapy.Changes in the muscle strength grades of type Ⅰ and type Ⅱ pelvic floor muscles,Glazer surface electromyography(EMG)values,and POP-Q staging were compared between the two groups before and after treatment.Results After treatment,both groups demonstrated significant improvements in type Ⅰ and type Ⅱ muscle fiber strength compared to baseline(all P<0.05),with the observation group showing greater improvement in type Ⅰ muscle fiber strength than the control group(P<0.05).The muscle potential values of the observation group during rapid contraction,tense contraction,and endurance contraction stages were markedly increased compared to pre-treatment levels.Moreover,the muscle potential values during the pre-resting stage were significantly reduced after treatment(P<0.05).In the observation group,POP-Q grades of the anterior vaginal wall,uterus,and posterior vaginal wall were all significantly lower post-treatment than pre-treatment(all P<0.05).However,no statistically significant differences were observed between the observation group and the control group in these parameters(P>0.05).Both groups exhibited relatively high compliance rates(both≥75.0%),with no significant difference between them(P>0.05).The treatment cost for the observation group was significantly higher than that for the control group(P<0.05).Conclusions The combination of magneto-electrical stimulation,an"intelligent exercise prescription,"and novel matrix radiofrequency therapy can significantly improve pelvic floor muscle strength and muscle potential values in the short term,compared to pre-treatment levels.This integrated approach also effectively alleviates the prolapse of the anterior vaginal wall,uterus,and posterior vaginal wall.Furthermore,the combination of magnetic and electrical stimulation,"intelligent exercise prescription,"and matrix radiofrequency therapy demonstrates superior efficacy in enhancing type Ⅰ pelvic floor muscle fiber strength when compared to the combination of magnetic and electrical stimulation with"intelligent exercise prescription"alone.However,this treatment protocol entails a relatively high economic burden,and its clinical application should be carefully evaluated in consideration of patients'functional needs and financial conditions.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.

Brain age prediction is of great significance to the in-depth understanding of individual neurodevelopment,early diagnosis of neuropsychiatric disorders,and formulation of personalized treatment plans. With the continuous advancement of deep learning,more and more researches focus on using such algorithms to predict brain age. Compared with traditional regression algorithms,deep learning which has the advantages of complex pattern learning,end-to-end learning and high adaptability can more accurately reveal the neuropathological mechanisms of neuropsychiatric disorders,and provide more precise tools for clinical assessment,assisted diagnosis and prognosis prediction. Herein the study reviews the recent advances in the application of deep learning algorithms in brain age prediction,introduces the achievements in deep learning model optimization,multimodal data inputs and interpretability studies for brain age prediction,discusses the methods for the establishment of integrated deep learning architectures and the future challenges of developing unified benchmarking,and provides an outlook on the application of deep learning in brain age prediction.

Purpose: This study aims to evaluate the efficacy and safety of a new combination treatment of vinorelbine and pyrotinib in human epidermal growth factor receptor 2 (HER2)–positive metastatic breast cancer (MBC) and provide higher level evidence for clinical practice. Materials and Methods: This was a prospective, single-arm, phase 2 trial conducted at three institutions in China. Patients with HER2-positive MBC, who had previously been treated with trastuzumab plus a taxane or trastuzumab plus pertuzumab combined with a chemotherapeutic agent, were enrolled between March 2020 and December 2021. All patients received pyrotinib 400 mg orally once daily plus vinorelbine 25 mg/m2 intravenously or 60-80 mg/m2 orally on day 1 and day 8 of 21-day cycle. The primary endpoint was progression-free survival (PFS), and the secondary endpoints included the objective response rate (ORR), disease control rate (DCR), overall survival, and safety. Results: A total of 39 patients were enrolled. All patients had been pretreated with trastuzumab and 23.1% (n=9) of them had accepted trastuzumab plus pertuzumab. The median follow-up time was 16.3 months (95% confidence interval [CI], 5.3 to 27.2), and the median PFS was 6.4 months (95% CI, 4.0 to 8.8). The ORR was 43.6% (95% CI, 27.8% to 60.4%) and the DCR was 84.6% (95% CI, 69.5% to 94.1%). The median PFS of patients with versus without prior pertuzumab treatment was 4.6 and 8.3 months (p=0.017). The most common grade 3/4 adverse events were diarrhea (28.2%), neutrophil count decreased (15.4%), white blood cell count decreased (7.7%), vomiting (5.1%), and anemia (2.6%). Conclusion Pyrotinib plus vinorelbine showed promising efficacy and tolerable toxicity as second-line treatment in patients with HER2-positive MBC.

Objective:To explore the clinical value of extra-long subcutaneous tunnel ventricular drainage in patients with hydrocephalus.Methods:From March 2016 to March 2020, 33 patients who were not suitable for ventriculoperitoneal shunt, who would have expected time of external ventricular drainage longer than 7 d, who had external ventricular drainage reaching for 7 d and still could not expect for drainage tube drawing for the next 7 d, or who had hydrocephalus after external ventricular drainage were chosen in our study. These patients accepted extra-long subcutaneous tunnel ventricular drainage. The curative effects in the patients were analyzed retrospectively.Results:The drainage tube was kept for a maximum of 24 months and the shortest time was 13 d, with average of 69.3 d; 32 patients (97%) had drainage time longer than 14 d. There was no secondary infection after operation.Conclusion:Extra-long subcutaneous tunnel extraventricular drainage tube has a long duration of catheter placement, could avoid multiple drainage and secondary intracranial infection, so it is a safe and effective new technology for hydrocephalus.

Objective:To examine the clinical value of combining indocyanine green (ICG) fluorescence navigation with blue dye in sen-tinel lymph node biopsy (SLNB) for patients with breast cancer. Methods:A total of 89 patients with early-stage breast cancer who met the inclusion criteria were admitted at Shantou Central Hospital, Guangdong from May 2013 to April 2014. In phase one, ICG and blue dye were applied in all 53 patients, and then SLNB and axillary lymph node dissection (ALND) were performed based on fluores-cence signal or visual sense of the lymph nodes. In phase two, 36 patients with early-stage breast cancer were included. ALND was omitted when sentinel lymph nodes were frozen showing negative result. Rates of detection, accuracy, and false-negative were calcu-lated. Results:A total of 89 patients were monitored, of which the total rate of SLNB detection was 96.6%(86/89). In the validation pe-riod, the rates of detection, accuracy, and false-negative were 94.3%(50/53) 98.0%(49/50), and 2.6%(1/38), respectively. In the alter-ative period, the rates of detection reached 100%. Of the 196 sentinel lymph nodes, 179 showed fluorescence signal, 142 exhibited blue dying, 54 only demonstrated fluorescence signals, and 45 demonstrated metastasis with five signaling fluorescence. About 24.7%of patients were diagnosed with SLN metastasis (22/89), where SLNB in two patients showed fluorescence signal but without blue dye. No ipsilateral lymph node relapsed were observed during a median follow up of 25 months. Conclusion:Combination of ICG fluores-cence navigation with blue dye in SLNB is safe for patients with breast cancer.