Background: Salvia miltiorrhiza Bunge, commonly known as “Danshen” in China due to the distinctive red color of its roots, is one of the most widely used traditional Chinese medicines. It is cultivated in various regions across China, and environmental differences among these regions can affect the secondary metabolites of plants, thereby influencing the quality of S. miltiorrhiza. In recent years, increasing demand for S. miltiorrhiza has exacerbated the problem of origin fraud. Therefore, ensuring the authenticity of its geographical origin is crucial for the sustainable development of the industry. Objective: The red coloration of S. miltiorrhiza is closely associated with the content of its primary active compounds, particularly tanshinones. Therefore, both its internal chemical composition and external color characteristics serve as key indicators for quality assessment. This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S. miltiorrhiza. Methods: Spectral data reflecting the internal chemical properties of S. miltiorrhiza were integrated with color information representing its external features through 3 levels of data fusion. These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification. Results: The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72% by integrating image color and short-wave infrared spectral data. Conclusion: This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S. miltiorrhiza.

Objective:To explore the clinical phenotype and genetic characteristics of four patients with Phelan-McDermid syndrome (PMS) due to variants of SHANK3 gene. Methods:Four patients diagnosed with PMS at Guangzhou Women and Children′s Medical Center Liuzhou Hospital from January 2020 to January 2025 were selected as the study subjects. Clinical data of the patients were collected. Peripheral venous blood samples were collected from each patient for the extraction of genomic DNA, followed by whole-exome sequencing (WES) and validation by Sanger sequencing. Pathogenicity of candidate variants was rated based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), and multiple bioinformatic tools were used to assess the pathogenic effects of the variants. The study was approved by the Ethics Committee of the Guangzhou Women′s and Children′s Medical Center Liuzhou Hospital (Ethics No. 2025-007).Results:All four patients had exhibited language delay and intellectual disability (IQ 35 ~ 65). Some also presented with autism spectrum disorder and schizophrenia, albeit with significant phenotypic heterogeneity. All patients were found to harbor deletions of 22q13.33 region, ranging from 55.46 kb to 112.64 kb, primarily involving the SHANK3 gene. Conclusion:PMS is typically caused by deletions or mutations of the SHANK3 gene. The clinical manifestations are diverse, with developmental delay and intellectual disability being the most common. Accurate diagnosis requires integration of genetic testing and standardized clinical assessment. Genetic screening for suspected patients and at-risk pregnant women is recommended to facilitate their genetic counseling.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

OBJECTIVE: To explore the clinical phenotype and genetic characteristics of four patients with Phelan-McDermid syndrome (PMS) due to variants of SHANK3 gene. METHODS: Four patients diagnosed with PMS at Guangzhou Women and Children's Medical Center Liuzhou Hospital from January 2020 to January 2025 were selected as the study subjects. Clinical data of the patients were collected. Peripheral venous blood samples were collected from each patient for the extraction of genomic DNA, followed by whole-exome sequencing (WES) and validation by Sanger sequencing. Pathogenicity of candidate variants was rated based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), and multiple bioinformatic tools were used to assess the pathogenic effects of the variants. The study was approved by the Ethics Committee of the Hospital (Ethics No. 2025-007). RESULTS: All four patients had exhibited language delay and intellectual disability (IQ 35 ~ 65). Some also presented with autism spectrum disorder and schizophrenia, albeit with significant phenotypic heterogeneity. All patients were found to harbor deletions of 22q13.33 region, ranging from 55.46 Kb to 112.64 Kb, primarily involving the SHANK3 gene. CONCLUSION PMS is typically caused by deletions or mutations of the SHANK3 gene. The clinical manifestations are diverse, with developmental delay and intellectual disability being the most common. Accurate diagnosis requires integration of genetic testing and standardized clinical assessment. Genetic screening for suspected patients and at-risk pregnant women is recommended to facilitate their genetic counseling.
Child ; Humans ; Chromosome Deletion ; Chromosome Disorders/genetics* ; Chromosomes, Human, Pair 22/genetics* ; Exome Sequencing ; Nerve Tissue Proteins/genetics* ; Phenotype

Objective To evaluate the dosimetric impact of interfractional bladder fullness variation in volumetric modulated arc therapy for cervical cancer using artificial intelligence-assisted cone-beam CT(CBCT)image segmentation,and propose an imaging-based quantitative assessment criterion for bladder fullness,providing an objective basis for assessing bladder filling status during clinical treatment.Methods Fifty patients receiving volumetric modulated arc therapy for cervical cancer were selected.The criterion for determining bladder fullness was as follow:if the bladder longitudinal diameter measured on the CBCT mid-sagittal plane was greater than half of the bladder longitudinal diameter measured on the localizable CT,it was defined as≥50%bladder fullness;otherwise,it was defined as<50%bladder fullness.Based on this criterion,two CBCT images were selected for each patient(representing fractions with≥50%and<50%fullness,respectively).Borui auto-contouring system was applied to re-contour the target areas and organs at risk,followed by dose recalculation.Results Compared with≥50%bladder fullness group,<50%bladder fullness group had significantly increased bladder V40,and small bowel Dmax,Dmean,V55,V45,V40(P<0.05),indicating that during interfractional radiotherapy,a CBCT-measured bladder longitudinal diameter less than half of the bladder longitudinal diameter measured on the localizable CT could serve as a predictor for significantly increased radiation dose to the bladder and small bowel.Correlation analysis revealed that bladder volume change showed a positive correlation with bladder Dmax change(R=0.45),a significant negative correlation with bladder V30(R=-0.37),and negative correlations with small bowel Dmax,Dmean,V55,V45,V40(R=-0.31,-0.41,-0.39,-0.49,-0.61).The correlation results indicate that increasing bladder fullness could reduce the radiation dose to the bladder and small bowel.Conclusion Artificial intelligence-assisted segmentation confirms that in interfractional radiotherapy for cervical cancer,when the CBCT-measured bladder longitudinal diameter is less than half of the longitudinal diameter measured on the localizable CT,there is a significant increase in radiation dose to OAR.Maintaining an ideal state of bladder fullness contributes to reducing the radiation dose to the bladder and small bowel.It is crucial to provide patients with adequate bladder management education before treatment and implement strict bladder volume management strategies during treatment fractions.

Objective To evaluate the dosimetric impact of interfractional bladder fullness variation in volumetric modulated arc therapy for cervical cancer using artificial intelligence-assisted cone-beam CT(CBCT)image segmentation,and propose an imaging-based quantitative assessment criterion for bladder fullness,providing an objective basis for assessing bladder filling status during clinical treatment.Methods Fifty patients receiving volumetric modulated arc therapy for cervical cancer were selected.The criterion for determining bladder fullness was as follow:if the bladder longitudinal diameter measured on the CBCT mid-sagittal plane was greater than half of the bladder longitudinal diameter measured on the localizable CT,it was defined as≥50%bladder fullness;otherwise,it was defined as<50%bladder fullness.Based on this criterion,two CBCT images were selected for each patient(representing fractions with≥50%and<50%fullness,respectively).Borui auto-contouring system was applied to re-contour the target areas and organs at risk,followed by dose recalculation.Results Compared with≥50%bladder fullness group,<50%bladder fullness group had significantly increased bladder V40,and small bowel Dmax,Dmean,V55,V45,V40(P<0.05),indicating that during interfractional radiotherapy,a CBCT-measured bladder longitudinal diameter less than half of the bladder longitudinal diameter measured on the localizable CT could serve as a predictor for significantly increased radiation dose to the bladder and small bowel.Correlation analysis revealed that bladder volume change showed a positive correlation with bladder Dmax change(R=0.45),a significant negative correlation with bladder V30(R=-0.37),and negative correlations with small bowel Dmax,Dmean,V55,V45,V40(R=-0.31,-0.41,-0.39,-0.49,-0.61).The correlation results indicate that increasing bladder fullness could reduce the radiation dose to the bladder and small bowel.Conclusion Artificial intelligence-assisted segmentation confirms that in interfractional radiotherapy for cervical cancer,when the CBCT-measured bladder longitudinal diameter is less than half of the longitudinal diameter measured on the localizable CT,there is a significant increase in radiation dose to OAR.Maintaining an ideal state of bladder fullness contributes to reducing the radiation dose to the bladder and small bowel.It is crucial to provide patients with adequate bladder management education before treatment and implement strict bladder volume management strategies during treatment fractions.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

Objective:To explore the clinical phenotype and genetic characteristics of four patients with Phelan-McDermid syndrome (PMS) due to variants of SHANK3 gene. Methods:Four patients diagnosed with PMS at Guangzhou Women and Children′s Medical Center Liuzhou Hospital from January 2020 to January 2025 were selected as the study subjects. Clinical data of the patients were collected. Peripheral venous blood samples were collected from each patient for the extraction of genomic DNA, followed by whole-exome sequencing (WES) and validation by Sanger sequencing. Pathogenicity of candidate variants was rated based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), and multiple bioinformatic tools were used to assess the pathogenic effects of the variants. The study was approved by the Ethics Committee of the Guangzhou Women′s and Children′s Medical Center Liuzhou Hospital (Ethics No. 2025-007).Results:All four patients had exhibited language delay and intellectual disability (IQ 35 ~ 65). Some also presented with autism spectrum disorder and schizophrenia, albeit with significant phenotypic heterogeneity. All patients were found to harbor deletions of 22q13.33 region, ranging from 55.46 kb to 112.64 kb, primarily involving the SHANK3 gene. Conclusion:PMS is typically caused by deletions or mutations of the SHANK3 gene. The clinical manifestations are diverse, with developmental delay and intellectual disability being the most common. Accurate diagnosis requires integration of genetic testing and standardized clinical assessment. Genetic screening for suspected patients and at-risk pregnant women is recommended to facilitate their genetic counseling.

Objective:To explore the experience and learning curve of single-line suspension suction rod-assisted hybrid cavity-building thyroid surgery via the oral vestibular approach.Methods:Clinical data of 138 patients undergoing single-line suspension suction rod-assisted hybrid cavity-building thyroid surgery via oral vestibular approach from Sep. 2019 to Dec. 2021 in the Department of Thyroid and Breast Surgery of Affiliated Hospital of North Sichuan Medical College were retrospectively analyzed. The cumulative sum (CUSUM) method and best-fit curve analysis were used to compare the differences in each index such as operative time, intraoperative bleeding, number of lymph nodes cleared in the central region and postoperative related complications at various stages of the learning curve.Results:All 138 patients underwent single-line suspension rod-assisted hybrid cavity-building thyroid surgery via the oral vestibular approach, and one patient was converted to open surgery due to large intraoperative bleeding in the mass. There were 14 males and 124 females, mean age (36.07±8.49) years (20-55 years), thyroid tumor size (7.74±6.49) mm (2.4-50mm), 5 cases underwent Subtotal thyroidectomy, 129 cases underwent Unilateral lobectomy + lymph node dissection in the middle region, and 4 cases total thyroidectomy + central zone lymph node dissection. The number of surgical cases corresponding to the apex of the CUSUM learning curve was 45, and the learning curve was divided into two stages: the learning improvement stage (1-45 cases) and the mastery stage (46-138 cases). The operative time, intraoperative bleeding, postoperative hospital stay, and chin numbness were all lower in the proficiency period than in the learning and training period ( P<0.05), and the number of lymph nodes cleared in the central region was larger than that in the learning and improvement stage ( P<0.05), while the differences in other indexes between the two stages were not statistically significant ( P>0.05) . Conclusion:The single-line suspension suction rod-assisted hybrid cavity-building thyroid surgery via the oral vestibular approach has clinical application value and is worth promoting, and the number of surgical cases to be accumulated to master this technique is 45.

Objective:To explore the accuracy of mpMRI combined with Partin table, MSKCC nomogram and CAPRA score in predicting extracapsular extension and seminal vesicle invasion of prostate cancer.Methods:From January 2016 to June 2021, a total of 178 patients who underwent laparoscopic radical prostatectomy were selected. The average age of patients was (68.3±3.5) years, the average preoperative PSA level was (24.5±7.1)ng/ml, and the average percentage of positive cores in biopsy was 44.3%. The clinical T 1c stage was determined in 67 cases (37.6%), T 2a in 69 cases (38.8%) and T 2b-2c in 42 cases(23.6%). Biopsy Gleason score of 3+ 3=6 was found in 45 cases(25.3%), 3+ 4=7 in 41 cases(23.0%), 4+ 3=7 in 26 cases(14.6%), 8 with different combinations in 36 cases(20.2%), and 9 or 10 in 30 cases(16.9%). According to preoperative PSA level, biopsy Gleason score, clinical stage, age, total biopsy cores and positive cores, the posibility of extracapsular extension and seminal vesicle invasion were predicted using 2012-version Partin table and MSKCC nomogram. CAPRA score of each patient was calculated. The prediction schemes were built as follows: ①mpMRI alone, ②mpMRI combined with Partin scale, ③mpMRI combined with MSKCC nomogram, ④mpMRI combined with CAPRA score. The results of each prediction scheme were compared with postoperative pathological reports. Logistic regression analysis was used to evaluate the relationship between predictive results and postoperative pathological outcomes. The receiver operating characteristic curve of each prediction scheme was drawn. The area under curve was used to compare the predictive accuracy of each combination scheme for the pathological results of prostate cancer. The decision analysis curve of each prediction scheme was drawn. The clinical benefits of each scheme were analyzed by comparing the net return under different risk thresholds. Results:mpMRI predicted extracapsular extension in 21 cases(11.8%) and seminal vesicle invasion in 16 cases(9.0%). The postoperative pathological results reported extracapsular extension in 27 cases(15.2%) and seminal vesicle invasion in 39 cases(21.9%). Logistic regression analysis showed that mpMRI and clinical scales were predictors related to the pathological results of prostate cancer( P<0.05). The receiver operating characteristic curve of each scheme showed that the area under curve for predicting extracapsular extension by using mpMRI, mpMRI combined with Partin table, mpMRI combined with MSKCC nomogram and mpMRI combined with CAPRA score were 0.599, 0.652, 0.763 and 0.780, respectively, and the area under curve for predicting seminal vesicle invasion were 0.607, 0.817, 0.826 and 0.820, respectively. Compared with simple application of mpMRI, except that the scheme of mpMRI combined with Partin table had no obvious advantage in predicting extracapsular extension( P=0.117), any other combined scheme had higher prediction accuracy( P<0.01). mpMRI combined with MSKCC nomogram or CAPRA score was better than mpMRI combined with Partin table in predicting extracapsular invasion ( P<0.01). There was no significant difference in predicting seminal vesicle invasion among these three combination schemes ( P>0.05). The net income of the combined prediction scheme was higher than that of using mpMRI alone under any risk threshold. The scheme of using mpMRI combined with MSKCC nomogram had the highest net income. Conclusions:mpMRI combined with clinical scales has good accuracy in predicting pathological characteristics of prostate cancer in Chinese population. Compared with other schemes in this study, the combination scheme of mpMRI combined with MSKCC nomogram has the highest prediction accuracy.