In recent years, there has been a significant surge in the prevalence of myopia at younger ages in China. Numerous studies have investigated methods for preventing and controlling myopia, including orthokeratology, low-concentration atropine eye drops, light therapy, posterior scleral reinforcement, and traditional Chinese medicine. These approaches can modulate choroidal thickness, blood flow, and target various molecular mechanisms. Orthokeratology and low-concentration atropine demonstrate a thickening effect on the choroid and regulate choroidal blood flow; the use of multi-point defocus control lenses also shows promise in thickening the choroid; the influence of light and light feeding therapy on myopia prevention and control is also reflected in the choroidal thickness and blood flow; and the traditional Chinese medicine has shown good prospect in influencing the microstructure of the choroid for myopia prevention and control. However, the long-term effects of various prevention and control measures on the choroid still need to be explored with a large sample size. This article provides an overview of various methods used to regulate the choroid and prevent myopia. The mechanisms by which these interventions act on the choroid are described to provide new insights and identity novel clinical strategies for myopia management.

Background: Active surveillance (AS) has emerged as a viable management strategy for low-risk papillary thyroid microcarcinoma (PTMC), following pioneering trials at Kuma Hospital and the Cancer Institute Hospital in Japan. Numerous prospective cohort studies have since validated AS as a management option for low-risk PTMC, leading to its inclusion in thyroid cancer guidelines across various countries. From 2016 to 2020, the Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro) enrolled 1,177 patients, providing comprehensive data on PTMC progression, sonographic predictors of progression, quality of life, surgical outcomes, and cost-effectiveness when comparing AS to immediate surgery. The second phase of MAeSTro (MAeSTro-EXP) expands AS to low-risk papillary thyroid carcinoma (PTC) tumors larger than 1 cm, driven by the hypothesis that overall risk assessment outweighs absolute tumor size in surgical decision-making. Methods: This protocol aims to address whether limiting AS to tumors smaller than 1 cm may result in unnecessary surgeries for low-risk PTCs detected during their rapid initial growth phase. By expanding the AS criteria to include tumors up to 1.5 cm, while simultaneously refining and standardizing the criteria for risk assessment and disease progression, we aim to minimize overtreatment and maintain rigorous monitoring to improve patient outcomes. Conclusion This study will contribute to optimizing AS guidelines and enhance our understanding of the natural course and appropriate management of low-risk PTCs. Additionally, MAeSTro-EXP involves a multinational collaboration between South Korea and Australia. This cross-country study aims to identify cultural and racial differences in the management of low-risk PTC, thereby enriching the global understanding of AS practices and their applicability across diverse populations.

Background: Active surveillance (AS) has emerged as a viable management strategy for low-risk papillary thyroid microcarcinoma (PTMC), following pioneering trials at Kuma Hospital and the Cancer Institute Hospital in Japan. Numerous prospective cohort studies have since validated AS as a management option for low-risk PTMC, leading to its inclusion in thyroid cancer guidelines across various countries. From 2016 to 2020, the Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro) enrolled 1,177 patients, providing comprehensive data on PTMC progression, sonographic predictors of progression, quality of life, surgical outcomes, and cost-effectiveness when comparing AS to immediate surgery. The second phase of MAeSTro (MAeSTro-EXP) expands AS to low-risk papillary thyroid carcinoma (PTC) tumors larger than 1 cm, driven by the hypothesis that overall risk assessment outweighs absolute tumor size in surgical decision-making. Methods: This protocol aims to address whether limiting AS to tumors smaller than 1 cm may result in unnecessary surgeries for low-risk PTCs detected during their rapid initial growth phase. By expanding the AS criteria to include tumors up to 1.5 cm, while simultaneously refining and standardizing the criteria for risk assessment and disease progression, we aim to minimize overtreatment and maintain rigorous monitoring to improve patient outcomes. Conclusion This study will contribute to optimizing AS guidelines and enhance our understanding of the natural course and appropriate management of low-risk PTCs. Additionally, MAeSTro-EXP involves a multinational collaboration between South Korea and Australia. This cross-country study aims to identify cultural and racial differences in the management of low-risk PTC, thereby enriching the global understanding of AS practices and their applicability across diverse populations.

Background: Active surveillance (AS) has emerged as a viable management strategy for low-risk papillary thyroid microcarcinoma (PTMC), following pioneering trials at Kuma Hospital and the Cancer Institute Hospital in Japan. Numerous prospective cohort studies have since validated AS as a management option for low-risk PTMC, leading to its inclusion in thyroid cancer guidelines across various countries. From 2016 to 2020, the Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro) enrolled 1,177 patients, providing comprehensive data on PTMC progression, sonographic predictors of progression, quality of life, surgical outcomes, and cost-effectiveness when comparing AS to immediate surgery. The second phase of MAeSTro (MAeSTro-EXP) expands AS to low-risk papillary thyroid carcinoma (PTC) tumors larger than 1 cm, driven by the hypothesis that overall risk assessment outweighs absolute tumor size in surgical decision-making. Methods: This protocol aims to address whether limiting AS to tumors smaller than 1 cm may result in unnecessary surgeries for low-risk PTCs detected during their rapid initial growth phase. By expanding the AS criteria to include tumors up to 1.5 cm, while simultaneously refining and standardizing the criteria for risk assessment and disease progression, we aim to minimize overtreatment and maintain rigorous monitoring to improve patient outcomes. Conclusion This study will contribute to optimizing AS guidelines and enhance our understanding of the natural course and appropriate management of low-risk PTCs. Additionally, MAeSTro-EXP involves a multinational collaboration between South Korea and Australia. This cross-country study aims to identify cultural and racial differences in the management of low-risk PTC, thereby enriching the global understanding of AS practices and their applicability across diverse populations.

Background: Active surveillance (AS) has emerged as a viable management strategy for low-risk papillary thyroid microcarcinoma (PTMC), following pioneering trials at Kuma Hospital and the Cancer Institute Hospital in Japan. Numerous prospective cohort studies have since validated AS as a management option for low-risk PTMC, leading to its inclusion in thyroid cancer guidelines across various countries. From 2016 to 2020, the Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro) enrolled 1,177 patients, providing comprehensive data on PTMC progression, sonographic predictors of progression, quality of life, surgical outcomes, and cost-effectiveness when comparing AS to immediate surgery. The second phase of MAeSTro (MAeSTro-EXP) expands AS to low-risk papillary thyroid carcinoma (PTC) tumors larger than 1 cm, driven by the hypothesis that overall risk assessment outweighs absolute tumor size in surgical decision-making. Methods: This protocol aims to address whether limiting AS to tumors smaller than 1 cm may result in unnecessary surgeries for low-risk PTCs detected during their rapid initial growth phase. By expanding the AS criteria to include tumors up to 1.5 cm, while simultaneously refining and standardizing the criteria for risk assessment and disease progression, we aim to minimize overtreatment and maintain rigorous monitoring to improve patient outcomes. Conclusion This study will contribute to optimizing AS guidelines and enhance our understanding of the natural course and appropriate management of low-risk PTCs. Additionally, MAeSTro-EXP involves a multinational collaboration between South Korea and Australia. This cross-country study aims to identify cultural and racial differences in the management of low-risk PTC, thereby enriching the global understanding of AS practices and their applicability across diverse populations.

The pathogenesis of aplastic anemia(AA)is complex and associated with hematopoietic stem cell defect,abnormal bone marrow microenvironment,immune dysfunction,and somatic mutation,in which the immune mechanism plays an important role.This article reviews the pathogenesis of AA from the following aspects:regulatory T cell reduction,hematopoietic stem cell reduction caused by factor-related apoptosis/factor-related apoptosis ligand signaling pathway,aberrant target gene expression induced by inflammatory factor-stimulated microRNAs,and regulatory T cell dysfunction,so as to provide ideas and methods for clinical practice.

In recent years, artificial intelligence (AI) technology represented by deep learning (DL) has developed rapidly, and smart medical care has become one of the most important application areas of AI. As the most accurate noninvasive test to assess myocardial blood flow, myocardial perfusion imaging (MPI) has important clinical values. At present, the use of DL algorithms to establish learning models for MPI images is still in the research stage, and more external verification and iterative updates are needed before it can be widely used in real time clinical practice. In this article, the application of DL algorithms in MPI is comprehensively elaborated to provide a basis and direction for further research.

Medical device imaging data augmentation is a method of expanding existing datasets by generating new data samples,which is of great significance for improving the performance of artificial intelligence(AI)medical device-related models and clinical application effects.However,traditional data augmentation methods are usually limited by the quality,realism,and diversity of generated samples.Denoising diffusion probabilistic model(DDPM)is a generative model based on the noise diffusion process,and its main idea is to generate samples with high quality by modelling the sampling process of the target distribution as a process of progressive denoising from the noise distribution.The basic principles and working mechanisms of DDPM were reviewed,the application scenarios of this method in AI medical device data augmentation were analyzed,and its advantages,challenges,and future development directions were explored to provide a reference for the field of AI medical device data augmentation.

Objective To investigate cyclin D2(CCND2)expression in papillary thyroid carcinoma(PTC)and its association with the clinicopathological features.Methods The public databases TCGA,TIMER 2.0 and UALCAN were used to explore CCND2 expression level in PTC and adjacent tissues,and its diagnostic value for PTC was analyzed using ROC curves.GO enrichment analysis of CCND2-related differentially expressed genes(DEGs)in PTC was performed,and tumor immune infiltration of CCND2 in thyroid cancer was analyzed using TIMER database and CIBERSORT data source.RT-qPCR and Western blot were used to detect CCND2 expression in normal human thyroid cell line Nthy-ori-3-1 and human PTC cell lines TPC-1 and BCPAP.CCND2 expression was also detected in clinical specimens of PTC and adjacent tissues by immunohistochemistry,and its correlation with clinicopathological features of the patients were analyzed.Results Informatic analysis revealed significantly higher CCND2 mRNA expression in thyroid cancer than in the adjacent tissues(P<0.001)in close correlation with tumor stage,gender,age,pathological subtype,and lymph node involvement(P<0.05).ROC curve analysis showed that at the cutoff value of 4.983,the diagnostic sensitivity,specificity,and accuracy of CCND2 expression for PTC was 83.6%,94.9%,and 78.5%,respectively.CCND2 expression was positively correlated with B cells,CD4+T cells,and macrophages(P<0.001)and negatively with CD8+T cells(P<0.01),and also correlated with memory B-cell infiltration,CD4+T-cell memory activation,M2 macrophages,resting mast cells,and mast cell activation(P<0.05).RT-qPCR,Western blot and immunohistochemistry showed significantly higher CCND2 expression in the PTC cells than in Nthy-ori-3-1 cells(P<0.01)and also in clinical PTC tissues than in the adjacent tissues(P<0.05)in correlation with tumor size,lymph node metastasis and TNM stage(P<0.05).Conclusion CCND2 overexpression is closely correlated with tumor progression and immune cell infiltration in PTC patients..

Objective:To investigate the reasonable airflow organization and exhaust system facilities during the operation of the inspection workshop, and solve the problem of the accumulation of harmful gases such as ozone and nitrogen oxides in the workshop.Methods:In May 2023, computational fluid dynamics (CFD) technology was used to numerically simulate the diffusion of ozone and nitrogen oxides generated by industrial radiographic inspection operations, and the comparative detection method was used to analyze the ozone and nitrogen oxides concentrations before and after the renovation of the ventilation system of the inspection workshop.Results:After the renovation of ventilation system, the average concentration of ozone in the inspection workshop decreased from 0.81 mg/m 3 to 0.03 mg/m 3, and the average concentration of nitrogen oxides decreased from 0.42 mg/m 3 to 0.01 mg/m 3, and the differences were statistically significant ( t=20.51, 10.38, P<0.001) . Conclusion:The ventilation facilities of the inspection workshop are set up in the airflow organization mode of sending up and down the exhaust, and the ventilation pipes are scientifically designed through the calculation of ventilation hydraulic balance, which can effectively control the concentration of harmful gases in the inspection workshop.