1.A predictive nomogram for selective screening of asymptomatic vertebral fractures: The Vietnam Osteoporosis Study
T. NGUYEN ; Bao T. NGUYEN ; An V. TRAN ; Tan T. NGUYEN ; Long H. NGO ; Tam VO ; Thi H NHUNG THAI ; Linh D. MAI ; Thach S. TRAN ; Tuan V. NGUYEN ; Lan T. HO-PHAM
Osteoporosis and Sarcopenia 2025;11(1):9-14
Objectives:
Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults.
Methods:
This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant’s semiquantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction.
Results:
During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 personyears in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver’s operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96.
Conclusions
Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.
5.A predictive nomogram for selective screening of asymptomatic vertebral fractures: The Vietnam Osteoporosis Study
T. NGUYEN ; Bao T. NGUYEN ; An V. TRAN ; Tan T. NGUYEN ; Long H. NGO ; Tam VO ; Thi H NHUNG THAI ; Linh D. MAI ; Thach S. TRAN ; Tuan V. NGUYEN ; Lan T. HO-PHAM
Osteoporosis and Sarcopenia 2025;11(1):9-14
Objectives:
Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults.
Methods:
This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant’s semiquantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction.
Results:
During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 personyears in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver’s operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96.
Conclusions
Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.
6.A predictive nomogram for selective screening of asymptomatic vertebral fractures: The Vietnam Osteoporosis Study
T. NGUYEN ; Bao T. NGUYEN ; An V. TRAN ; Tan T. NGUYEN ; Long H. NGO ; Tam VO ; Thi H NHUNG THAI ; Linh D. MAI ; Thach S. TRAN ; Tuan V. NGUYEN ; Lan T. HO-PHAM
Osteoporosis and Sarcopenia 2025;11(1):9-14
Objectives:
Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults.
Methods:
This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant’s semiquantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction.
Results:
During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 personyears in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver’s operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96.
Conclusions
Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.
7.Principles, technical specifications, and clinical application of lung watershed topography map 2.0: A thoracic surgery expert consensus (2024 version)
Wenzhao ZHONG ; Fan YANG ; Jian HU ; Fengwei TAN ; Xuening YANG ; Qiang PU ; Wei JIANG ; Deping ZHAO ; Hecheng LI ; Xiaolong YAN ; Lijie TAN ; Junqiang FAN ; Guibin QIAO ; Qiang NIE ; Mingqiang KANG ; Weibing WU ; Hao ZHANG ; Zhigang LI ; Zihao CHEN ; Shugeng GAO ; Yilong WU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):141-152
With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.
8.Epidemiological characteristics and genotyping of norovirus in Jingzhou Area
Zhiming TANG ; Lei TAN ; Weihua YI
Journal of Public Health and Preventive Medicine 2025;36(1):70-73
Objective To understand the epidemiological and genotypic characteristics of norovirus (NoV) in Jingzhou area,and to design primers and probes covering the variant genomes in the NoV gene library. Methods A total of 556 fecal samples were collected from suspected NoV patients from the First People's Hospital of Jingzhou from January 2022 to May 2023. The positive rate of NoV nucleic acid in fecal samples was detected by commercial kits. The differences in positive rates among different seasons and five age groups were statistically analyzed. Primers covering the NoV variant genome were designed to genotype some positive specimens. Results The detection rate of NoV nucleic acid in the tested samples was 30.04% (167/556). The detection rate in spring and winter was higher than that in summer and autumn (χ2=20.411,P<0.01). There were statistical differences in the positive rates among the five age groups of <1 year, 1-5 years, 6-10 years, 11-19 years, and >19 years (χ2=17.192,P<0.01), and the positive rate in young children (1~5 years old) was the highest (39.29%, 88/224). In addition, all the positive samples were NoV GII. Conclusion The epidemic situation of NoV is serious in winter and spring in Jingzhou area, with a high infection rate in young children (1-5 years old), and NoV GII is the main prevalent genotype. The primers designed in this study can be used for genotyping of NoV GI and GII.
9.Chinese expert consensus on postoperative follow-up for non-small cell lung cancer (version 2025)
Lunxu LIU ; Shugeng GAO ; Jianxing HE ; Jian HU ; Di GE ; Hecheng LI ; Mingqiang KANG ; Fengwei TAN ; Fan YANG ; Qiang PU ; Kaican CAI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(03):281-290
Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.
10.A predictive nomogram for selective screening of asymptomatic vertebral fractures: The Vietnam Osteoporosis Study
T. NGUYEN ; Bao T. NGUYEN ; An V. TRAN ; Tan T. NGUYEN ; Long H. NGO ; Tam VO ; Thi H NHUNG THAI ; Linh D. MAI ; Thach S. TRAN ; Tuan V. NGUYEN ; Lan T. HO-PHAM
Osteoporosis and Sarcopenia 2025;11(1):9-14
Objectives:
Vertebral fractures are associated with disability and mortality, but most vertebral fractures are asymptomatic. The present study aimed to determine the incidence of and develop a predictive nomogram for asymptomatic vertebral fractures in Vietnamese adults.
Methods:
This cohort study as a part of the Vietnam Osteoporosis Study involved 168 men and 287 women aged 50 years and older without a clinically diagnosed vertebral fracture. Their spine x-rays were taken at the recruitment and subsequent 2-year visit. Vertebral fractures were ascertained using the Genant’s semiquantitative method. We employed the Bayesian Model Averaging method to search for the optimal model for predicting asymptomatic vertebral fractures. A predictive nomogram was also developed to facilitate risk prediction.
Results:
During a median of 2.38 years of follow-up, 13 men and 16 women developed an asymptomatic vertebral fracture, yielding the overall incidence rate of 28 fractures per 1000 person-years, or 33 fractures/1000 personyears in men and 24 fractures/1000 person-years in women, respectively. Most asymptomatic vertebral fractures were moderate, almost 1.5 times more common than mild fractures. The optimal model for predicting incident asymptomatic vertebral fractures included age, male sex and lower femoral neck T-score. The area under the receiver’s operating characteristic curve was 0.91, with 95% CI ranging from 0.86 to 0.96.
Conclusions
Asymptomatic vertebral fractures were relatively common among adults in Vietnam. A simple model with sex, age and femoral neck T-score is helpful for selective screening of asymptomatic vertebral fractures in Vietnamese individuals.


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