1.Feasibility analysis of radiomics and deep learning models in predicting the efficacy of 131I therapy for papillary thyroid cancer
Lele ZHANG ; Lu LU ; Zhao GE ; Ning LI ; Jinquan HUANG ; Xingyu MU ; Wei FU
Chinese Journal of Nuclear Medicine and Molecular Imaging 2025;45(9):543-548
Objective:To explore the application value of radiomics, deep learning, and their combined models in predicting the efficacy of radioiodine adjuvant therapy in patients with papillary thyroid cancer (PTC).Methods:A retrospective analysis was conducted on the clinical and imaging data of 131 PTC patients (38 males, 93 females; age 41(33, 48) years) who received first 131I treatment at the Affiliated Hospital of Guilin Medical University from January 2018 to March 2023. Patients were randomly divided into a training set ( n=105) and a test set ( n=26) at the ratio of 8∶2. Multivariate logistic regression analysis was used to screen clinical features to determine independent predictors affecting the efficacy of 131I therapy. Radiomics and deep learning features were extracted from the enhanced CT scans and were combined by using the extremely randomized trees (ExtraTrees) algorithm to construct radiomics, deep learning, and combined models. The predictive abilities of the models were evaluated by AUC, and the Delong test was applied to compare the difference between AUCs. Results:Higher pre-ablation stimulated thyroglobulin (ps-Tg) levels (odds ratio( OR)=1.060, 95% CI: 1.025-1.095, P=0.004) and bilateral lesions ( OR=5.085, 95% CI: 1.452-17.814, P=0.033) were independent predictors of the efficacy of 131I therapy in intermediate to high-risk PTC patients. In the training set, the radiomics model (AUC=0.853) and combined model (AUC=0.880) significantly outperformed the deep learning model (AUC=0.711; Z values: 2.48, 3.09, P values: 0.013, 0.002), while there was no statistically significant difference between the radiomics and combined models ( Z=0.51, P=0.610). In the test set, AUCs of the radiomics, deep learning, and combined models were 0.746, 0.624, and 0.876, respectively, and the AUC of the combined model was higher than that of the radiomics model or deep learning model ( Z values: 2.05, 1.99, P values: 0.040, 0.047). Conclusion:The combined model demonstrates superior performance over the standalone radiomics model and deep learning model in predicting the efficacy of 131I treatment in PTC patients.
2.Plate and cannulated screw double-column fixation for complex talar neck fractures
Guixin WANG ; Hongbin CAO ; Nan LI ; Jun LIANG ; Haijing HUANG ; Jinquan HE
Chinese Journal of Orthopaedics 2025;45(8):485-491
Objective:To explore the clinical effect of treating complex talar neck fractures with double-column fixation using plates and cannulated screws.Methods:A retrospective analysis was performed on the data of 13 patients with complex talar neck fractures treated with double-column fixation using plates and cannulated screws at Tianjin Hospital, Tianjin University from June 2019 to November 2023. There were 9 males and 4 females, with an age of 42.1±17.7 years (range, 15-66 years). There were 5 cases on the left and 8 cases on the right. Four cases were caused by traffic accidents, 8 by falling from a height, and 1 by a heavy object injury. According to the Hawkins classification, there were 12 cases of type II and 1 case of type III talar neck fractures. All the fractures were comminuted, including 12 cases of talar neck combined with talar body, and 3 cases combined with subluxation of subtalar joint. The time from injury to surgery was 3.3±1.6 d (range, 1-6 d). All patients were treated with anteromedial combined anterolateral approach, plate and cannulated screw double-column fixation pattern. The healing time of fractures and the occurrence of complications were recorded. Postoperative anteroposterior and lateral X-ray images were taken to assess the quality of fracture reduction based on the presence or absence of step-offs and angulation after reduction of fractures at the neck or body of the talus. The functional outcome was evaluated using the American Orthopaedic Foot and Ankle Society (AOFAS) ankle-hindfoot scale.Results:All 13 patients were followed up for 33.8±15.2 months (range, 12-53 months). All fractures healed, and the healing time was 17.2±2.8 weeks (range, 13-23 weeks). Postoperative X-ray evaluation showed that 10 cases had anatomical reduction and 3 cases had near-anatomical reduction. After operation, there was no loosening or breakage of implant, loss of fracture reduction, irritation of skin and soft tissue by internal fixation. The AOFAS score was 88.1±13.0 points (range, 48-100 points), with 9 excellent cases, 3 good cases, and 1 poor case. Superficial skin necrosis in one surgical incision healed after dressing exchange. At the 1-year follow-up after surgery, 1 case developed avascular necrosis of the talus without collapse. And at the last follow-up (postoperative 13 to 53 months), 5 cases developed post-traumatic arthritis.Conclusion:Plate and cannulated screw double-column fixation in the treatment of complex talar neck fractures can achieve satisfactory reduction and strong fixation effects, which is beneficial in reducing complications related to poor reduction.
3.Analysis of the correlation between blood lipid levels and cognitive dysfunction in elderly people aged 65 and above
Jinping HUANG ; Yuanzheng FU ; Yangjian PAN ; Yurong HU ; Jinquan ZHANG ; Xiaoyan DU
Chinese Journal of Preventive Medicine 2025;59(7):1084-1089
his cross-sectional study employed convenience sampling to enroll 1 994 community-dwelling older adults (aged ≥65 years) undergoing health examinations at a Guangzhou community hospital between January and December 2024, aiming to investigate associations between blood lipid profiles and cognitive impairment. Cognitive function was assessed using the AD8 scale, with demographic characteristics (age, sex, education, occupation), health status (hypertension, diabetes mellitus), and lifestyle factors (smoking/alcohol use) collected via questionnaires. Fasting blood samples quantified triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Propensity score matching (PSM) balanced baseline characteristics between lipid-level groups. Pre-PSM analyses revealed significant intergroup differences: TG groups differed in sex, BMI, alcohol use, hypertension, and self-rated health ( P<0.05); TC groups in sex, age, occupation, diabetes, and hypertension; LDL-C groups in sex, age, occupation, diabetes, hypertension, and daily living ability; HDL-C groups in sex, age, education, occupation, BMI, smoking, diabetes, and hypertension. Post-PSM adjustment eliminated baseline differences ( P>0.05). Multivariable logistic regression adjusted for demographic, clinical, and lifestyle factors demonstrated that elevated TG levels conferred a 48% reduced risk of cognitive dysfunction [ OR (95% CI): 0.52 (0.29-0.94)], whereas TC, LDL-C, and HDL-C showed no significant associations (all P>0.05). These findings suggest an inverse association between higher triglyceride levels and cognitive dysfunction risk in older adults, highlighting TG′s potential protective role in cognitive health.
4.Plate and cannulated screw double-column fixation for complex talar neck fractures
Guixin WANG ; Hongbin CAO ; Nan LI ; Jun LIANG ; Haijing HUANG ; Jinquan HE
Chinese Journal of Orthopaedics 2025;45(8):485-491
Objective:To explore the clinical effect of treating complex talar neck fractures with double-column fixation using plates and cannulated screws.Methods:A retrospective analysis was performed on the data of 13 patients with complex talar neck fractures treated with double-column fixation using plates and cannulated screws at Tianjin Hospital, Tianjin University from June 2019 to November 2023. There were 9 males and 4 females, with an age of 42.1±17.7 years (range, 15-66 years). There were 5 cases on the left and 8 cases on the right. Four cases were caused by traffic accidents, 8 by falling from a height, and 1 by a heavy object injury. According to the Hawkins classification, there were 12 cases of type II and 1 case of type III talar neck fractures. All the fractures were comminuted, including 12 cases of talar neck combined with talar body, and 3 cases combined with subluxation of subtalar joint. The time from injury to surgery was 3.3±1.6 d (range, 1-6 d). All patients were treated with anteromedial combined anterolateral approach, plate and cannulated screw double-column fixation pattern. The healing time of fractures and the occurrence of complications were recorded. Postoperative anteroposterior and lateral X-ray images were taken to assess the quality of fracture reduction based on the presence or absence of step-offs and angulation after reduction of fractures at the neck or body of the talus. The functional outcome was evaluated using the American Orthopaedic Foot and Ankle Society (AOFAS) ankle-hindfoot scale.Results:All 13 patients were followed up for 33.8±15.2 months (range, 12-53 months). All fractures healed, and the healing time was 17.2±2.8 weeks (range, 13-23 weeks). Postoperative X-ray evaluation showed that 10 cases had anatomical reduction and 3 cases had near-anatomical reduction. After operation, there was no loosening or breakage of implant, loss of fracture reduction, irritation of skin and soft tissue by internal fixation. The AOFAS score was 88.1±13.0 points (range, 48-100 points), with 9 excellent cases, 3 good cases, and 1 poor case. Superficial skin necrosis in one surgical incision healed after dressing exchange. At the 1-year follow-up after surgery, 1 case developed avascular necrosis of the talus without collapse. And at the last follow-up (postoperative 13 to 53 months), 5 cases developed post-traumatic arthritis.Conclusion:Plate and cannulated screw double-column fixation in the treatment of complex talar neck fractures can achieve satisfactory reduction and strong fixation effects, which is beneficial in reducing complications related to poor reduction.
5.Analysis of the correlation between blood lipid levels and cognitive dysfunction in elderly people aged 65 and above
Jinping HUANG ; Yuanzheng FU ; Yangjian PAN ; Yurong HU ; Jinquan ZHANG ; Xiaoyan DU
Chinese Journal of Preventive Medicine 2025;59(7):1084-1089
his cross-sectional study employed convenience sampling to enroll 1 994 community-dwelling older adults (aged ≥65 years) undergoing health examinations at a Guangzhou community hospital between January and December 2024, aiming to investigate associations between blood lipid profiles and cognitive impairment. Cognitive function was assessed using the AD8 scale, with demographic characteristics (age, sex, education, occupation), health status (hypertension, diabetes mellitus), and lifestyle factors (smoking/alcohol use) collected via questionnaires. Fasting blood samples quantified triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Propensity score matching (PSM) balanced baseline characteristics between lipid-level groups. Pre-PSM analyses revealed significant intergroup differences: TG groups differed in sex, BMI, alcohol use, hypertension, and self-rated health ( P<0.05); TC groups in sex, age, occupation, diabetes, and hypertension; LDL-C groups in sex, age, occupation, diabetes, hypertension, and daily living ability; HDL-C groups in sex, age, education, occupation, BMI, smoking, diabetes, and hypertension. Post-PSM adjustment eliminated baseline differences ( P>0.05). Multivariable logistic regression adjusted for demographic, clinical, and lifestyle factors demonstrated that elevated TG levels conferred a 48% reduced risk of cognitive dysfunction [ OR (95% CI): 0.52 (0.29-0.94)], whereas TC, LDL-C, and HDL-C showed no significant associations (all P>0.05). These findings suggest an inverse association between higher triglyceride levels and cognitive dysfunction risk in older adults, highlighting TG′s potential protective role in cognitive health.
6.Feasibility analysis of radiomics and deep learning models in predicting the efficacy of 131I therapy for papillary thyroid cancer
Lele ZHANG ; Lu LU ; Zhao GE ; Ning LI ; Jinquan HUANG ; Xingyu MU ; Wei FU
Chinese Journal of Nuclear Medicine and Molecular Imaging 2025;45(9):543-548
Objective:To explore the application value of radiomics, deep learning, and their combined models in predicting the efficacy of radioiodine adjuvant therapy in patients with papillary thyroid cancer (PTC).Methods:A retrospective analysis was conducted on the clinical and imaging data of 131 PTC patients (38 males, 93 females; age 41(33, 48) years) who received first 131I treatment at the Affiliated Hospital of Guilin Medical University from January 2018 to March 2023. Patients were randomly divided into a training set ( n=105) and a test set ( n=26) at the ratio of 8∶2. Multivariate logistic regression analysis was used to screen clinical features to determine independent predictors affecting the efficacy of 131I therapy. Radiomics and deep learning features were extracted from the enhanced CT scans and were combined by using the extremely randomized trees (ExtraTrees) algorithm to construct radiomics, deep learning, and combined models. The predictive abilities of the models were evaluated by AUC, and the Delong test was applied to compare the difference between AUCs. Results:Higher pre-ablation stimulated thyroglobulin (ps-Tg) levels (odds ratio( OR)=1.060, 95% CI: 1.025-1.095, P=0.004) and bilateral lesions ( OR=5.085, 95% CI: 1.452-17.814, P=0.033) were independent predictors of the efficacy of 131I therapy in intermediate to high-risk PTC patients. In the training set, the radiomics model (AUC=0.853) and combined model (AUC=0.880) significantly outperformed the deep learning model (AUC=0.711; Z values: 2.48, 3.09, P values: 0.013, 0.002), while there was no statistically significant difference between the radiomics and combined models ( Z=0.51, P=0.610). In the test set, AUCs of the radiomics, deep learning, and combined models were 0.746, 0.624, and 0.876, respectively, and the AUC of the combined model was higher than that of the radiomics model or deep learning model ( Z values: 2.05, 1.99, P values: 0.040, 0.047). Conclusion:The combined model demonstrates superior performance over the standalone radiomics model and deep learning model in predicting the efficacy of 131I treatment in PTC patients.
7.Effects of Electroacupuncture on Motor Function and the Expressions of Irisin,Decorin and Myostatin in SAMP8 Mice
Chenguang WEN ; Weiguo DONG ; Wanqing GUO ; Junyan HUANG ; Jinquan LI ; Shaomin YANG ; Lan LIN ; Feng WANG
Chinese Journal of Information on Traditional Chinese Medicine 2024;31(11):110-115
Objective To observe the effects of electroacupuncture on the motor function and expressions of Irisin,Decorin and Myostatin in skeletal muscle of SAMP8 mice;To explore the mechanism of electroacupuncture in the treatment of the motor dysfunction of Alzheimer disease(AD).Methods Totally 247-month-old male SAMP8 mice were randomly divided into model group and electroacupuncture group,with 12 mice in each group,and the 12 male SAMR1 mice with the same age were set as the control group."Baihui","Dazhui"and"Shenshu"were selected in the electroacupuncture group,once a day,8 days as one course of treatment,with an interval of 2 days,for a total of 3 courses.The control group and the model group were not intervened.The motor function of mice was tested by grip strength test,pole climbing test and open field test,the mRNA expressions of Irisin,Decorin and Myostatin in quadriceps muscle were detected by RT-qPCR,and the protein expressions of Irisin,Decorin and Myostatin in quadriceps muscle were detected by immunohistochemistry and Western blot.Results Compared with the control group,the grip peak and duration of the mice in the model group decreased,head turning time and pole climbing time were prolonged(P<0.01),the mRNA and protein expressions of Irisin and Decorin decreased(P<0.05,P<0.01),and the expressions of Myostatin mRNA and protein increased(P<0.05).Compared with the model group,the grip peak and duration of the mice in the electroacupuncture group increased,head turning time and pole climbing time were decreased(P<0.05),the mRNA and protein expressions of Irisin and Decorin increased(P<0.05),and the expressions of Myostatin mRNA and protein decreased(P<0.05).Conclusion Electroacupuncture can improve the motor dysfunction of SAMP8 mice,and its mechanism may be related to regulating the expressions of Irisin,Decorin and Myostatin in skeletal muscle.
8.Effect of different immunization schedules on diphtheria antibody level among preschool children in Shenzhen
PENG Yuanzhou, HA Yongting, LI Wenhao, HUANG Fang, XIE Xu, CHENG Jinquan, WU Yu, ZHANG Yanwei
Chinese Journal of School Health 2023;44(3):415-418
Objective:
To evaluate the immunity and influencing factors of diphtheria among preschool children in Shenzhen,to provide reference for effective monitoring of diphtheria IgG antibody level in preschool children.
Methods:
Serum samples were collected from 296 preschool children aged 4-6 who were recruited in Shenzhen. The diphtheria antibody titer in serum was determined by enzyme linked immunosorbent assay, and the effect of different immumuzation schedule including types of vaccine and vaccination timing, on the geometric mean concentration (GMC) of diphtheria IgG antibody and antibody positive rate were analyzed.
Results:
The GMC of diphtheria IgG antibody was 0.71 IU/mL, and the positive conversion rate was 33.1%. There were significant differences in antibody GMC and antibody positive conversion rate of diphtheria in different age groups( F/χ 2=11.77, 27.45, P < 0.01 ). The GMC and antibody positive conversion rate showed significant differences by diphtheria antibodies, vaccine types and end dose vaccination intervals( F=49.53, 12.95,11.61, P <0.01). There were statistically significant differences in the positive conversion rate of diphtheria antibodies in children with different types of diphtheria antibodies, vaccine types of diphtheria antibodies, and diphtheria antibodies at the time interval of final vaccination (Fisher exact probability method, P <0.01).
Conclusion
The overall positive conversion rate of diphtheria antibody in preschool children in Shenzhen is high. Timely completion of full diphtheria vaccination can improve the antibody level and plays a better role in protecting preschool children.
9.Analysis of AI image recognition approach for monitoring primary school students outdoor activity time in school
WU Yu, SHI Huiying, WANG Qian, HUANG Yuanyuan, CHENG Jinquan, ZHOU Li
Chinese Journal of School Health 2023;44(8):1178-1181
Objective:
To develop a method that can continuously monitor duration of students outdoor activities for a long time, so as to provide data support for the relationship between outdoor activity duration and students health.
Methods:
From April 28 to July 6, 2022, 1 168 students from a primary school in Shenzhen were selected. Fixed cameras were placed on the top of school classrooms, corridors and critical paths were used to identify student data and duration in the picture. And AI, cloud computing and other methods were used to measure students-non-classroom time instead of outdoor activity time in school.
Results:
The average length of time spend on outdoor activities in school of the 24 pilot classes were 67.6-113.0 min, and showed a downward trend by grade ( F =42.74, P <0.05). The duration of outdoor activities among students was negatively correlated with the detection rate of myopia and overweight( r =-0.74, -0.45, P <0.05).
Conclusion
The data on outdoor activity time calculated by AI image recognition is basically in line with the reality. Monitoring students outdoor activity time at school through AI image recognition is feasible and popularized.
10.A Bibliometric Study of Oncology Imaging Diagnosis Based on Convolutional Neural Networks
Lingtao LIU ; Yuwen LIU ; Jinquan HUANG ; Chu ZHANG ; Xingzhi CHEN
Cancer Research on Prevention and Treatment 2023;50(5):512-517
Objective To understand the research hotspots and research trends about convolutional neural networks in the field of oncology imaging diagnosis by analyzing the characteristics of published literature at home and abroad over the past decade. Methods The SCI-E database was used as the data source to retrieve literature about convolutional neural networks in the field of oncology imaging diagnosis published from 2012 to 2022. The distribution characteristics of countries, institutions, journals, co-cited authors, and keywords of the studies were analyzed by CiteSpace software. Results A total of 1088 papers were eventually included, and they were mostly from China, the United States, and India. A total of 39 papers were published by Sun Yat-sen University, the research institution with the highest number of publications. Radiology Nuclear Medicine Medical Imaging was the journal with the highest number of publications. A total of 25 high-frequency keywords and 15 burst keywords were obtained. The formation of 12 author co-citation clusters such as image segmentation and lung nodule, as well as 11 keyword clusters such as automatic segmentation and breast cancer, was observed. Conclusion Current research on convolutional neural networks for oncology imaging diagnosis focuses on oncology segmentation, lung-nodule recognition, assisted diagnosis of breast cancer, and other high-frequency oncology.


Result Analysis
Print
Save
E-mail