1.Advancements and applications in radiopharmaceutical therapy.
Shiya WANG ; Mingyi CAO ; Yifei CHEN ; Jingjing LIN ; Jiahao LI ; Xinyu WU ; Zhiyue DAI ; Yuhan PAN ; Xiao LIU ; Xian LIU ; Liang-Ting LIN ; Jianbing WU ; Ji LIU ; Qifeng ZHONG ; Zhenwei YUAN
Chinese Journal of Natural Medicines (English Ed.) 2025;23(6):641-657
Radiopharmaceuticals operate by combining radionuclides with carriers. The radiation energy emitted by radionuclides is utilized to selectively irradiate diseased tissues while minimizing damage to healthy tissues. In comparison to external beam radiation therapy, radionuclide drugs demonstrate research potential due to their biological targeting capabilities and reduced normal tissue toxicity. This article reviews the applications and research progress of radiopharmaceuticals in cancer treatment. Several key radionuclides are examined, including 223Ra, 90Y, Lutetium-177 (177Lu), 212Pb, and Actinium-225 (225Ac). It also explores the current development trends of radiopharmaceuticals, encompassing the introduction of novel radionuclides, advancements in imaging technologies, integrated diagnosis and treatment approaches, and equipment-medication combinations. We review the progress in the development of new treatments, such as neutron capture therapy, proton therapy, and heavy ion therapy. Furthermore, we examine the challenges and breakthroughs associated with the clinical translation of radiopharmaceuticals and provide recommendations for the research and development of novel radionuclide drugs.
Humans
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Radiopharmaceuticals/therapeutic use*
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Neoplasms/radiotherapy*
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Radioisotopes/therapeutic use*
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Animals
2.Based on data mining to explore the prescription rules for treating insomnia
Zhenwei LING ; Zihui WU ; Lintao LU ; Liang KE ; Fang YUAN ; Kaihua WANG
China Modern Doctor 2025;63(20):47-50
Objective To analyze Wu Zihui's medication rules for treating insomnia through data mining technology.Methods A total of 131 medical cases diagnosed with insomnia and admitted to the Outpatient Department of Wu Zihui at the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from June 2020 to March 2024 were sorted out.After standardizing the entered medical case data using the Gujin Medical Case Cloud Platform V2.3.9,statistical analysis,cluster analysis and complex network analysis of the prescription drugs were conducted respectively to summarize the experience of prescription drug use and the rules of formula composition.Results A total of 131 medical cases involved 143 traditional Chinese medicines.It was concluded that the properties were mainly cold and neutral,the flavors were mainly sweet and bitter,the meridians were mainly liver and heart meridians,and high-frequency drugs,Baishao Baizhu,Nyuzhenzi etc.Cluster analysis yielded 5 clustering prescriptions.Complex network analysis of traditional Chinese medicine syndrome types and drugs can result in two core traditional Chinese medicine prescriptions for insomnia syndrome.Conclusion In the treatment of insomnia,attention should be paid to the treatment of heart,liver,spleen and kidney.The treatment principle should be to relieve liver depression,clear heat and purge fire,nourish heart and calm the mind,and supplement spleen and kidney.
3.Association between inflammation-related dietary patterns and cognitive impairment in older adults aged 65 years and above in longevity areas of China: a reduced rank regression analysis
Yang LI ; Zihan LU ; Yangyang XIONG ; Wenjing CHEN ; Jun WANG ; Zenghang ZHANG ; Chen CHEN ; Wenhui SHI ; Xi MENG ; Zhenwei ZHANG ; Zinan XU ; Yuan XIA ; Yiqi LI ; Honglin LAI ; Yujie LI ; Cuipeng ZHANG ; Yuming ZHAO ; Yuebin LYU ; Xiaoming SHI
Chinese Journal of Epidemiology 2025;46(5):737-745
Objective:To analyze the association between inflammation-related dietary patterns and the risk for cognitive impairment in older adults aged ≥65 years in longevity areas in China by using reduced rank regression (RRR) analysis.Methods:This study used cross-sectional data from the 2021 Healthy Aging and Biomarkers Cohort Study, including the information about study participants' demographic characteristics, lifestyles, daily life activities, and disease histories. Dietary intake was obtained by using a simplified food frequency questionnaire. Cognitive impairment was evaluated based on the Mini-Mental State Examination Scale combined with years of education. Fasting venous blood samples were collected to detect inflammatory markers, especially high-sensitivity C-reactive protein (hs-CRP) and the platelet-to-lymphocyte ratio (PLR). RRR analysis was used to obtain inflammation-related dietary patterns using hs-CRP and PLR as response variables. Multivariate logistic regression model was used to analyze the association between dietary pattern score and the risk for cognitive impairment. Restricted cubic spline was used to explore the dose response relationship, and mediation analysis was used to quantify the mediating effects of hs-CRP and PLR.Results:Two dietary patterns were identified with RRR. The primary pattern was characterized by higher intakes of flour, red meat, and dairy products, and lower intake of fresh vegetables, explaining 6.84% of the variance in food intake and 0.50% of the variance in inflammatory markers. Compared with the T1 group, the T3 group had significantly higher risk for cognitive impairment ( OR=1.242, 95% CI: 1.034-1.491). Each one standard deviation increase in the dietary pattern score was associated with an 8.7% increase in the risk for cognitive impairment ( OR=1.087, 95% CI: 1.008-1.172), with a significant linear trend (overall-model P<0.001, non-linear P=0.295). Mediation analysis indicated that hs-CRP mediated 6.2% of the association between the dietary pattern and the risk for cognitive impairment. Conclusion:The inflammation- related dietary pattern characterized by higher consumption of flour, red meat, and dairy products and lower consumption of fresh vegetables is associated with an increased risk for cognitive impairment in older adults, and hs-CRP partially mediates this association.
4.Analysis of electrocardiogram and echocardiographic characteristics in patients with anti-melanoma differentiation-associated gene 5 antibody-positive dermatomyositis
Ye YUAN ; Zhenwei GUO ; Liguo YIN ; Yanyan BAI ; Jing XU ; Anhao ZHENG ; Shumin ZHANG ; Hongsheng SUN
Chinese Journal of Rheumatology 2025;29(10):855-862
Objective:To study the effect of anti-melanoma differentiation-related gene 5(MDA5) antibody positive dermatomyositis on the heart of patients.Methods:A total of 71 patients with dermatomyositis diagnosed in Shandong Provincial Hospital Affiliated to Shandong First Medical University from January 1, 2014 to December 31, 2019 were enrolled as the sample group, including anti-MDA5 (+) group( n=28); anti-MDA5(-) groups( n=43). Electrocardiogram and echocardiography were performed in the sample group and the control group. The electrocardiogram, echocardiography and other relevant clinical data of the anti-MDA5 (+) group, anti-MDA5 (-) group and the healthy control group were retrospectively analyzed. The logistic regression analysis model was used to analyze the related factors influencing cardiac involvement in anti-MDA5 (+) patients. Results:In the anti-MDA5 (+) group, more than half of the patients showed elevated levels of lactate dehydrogenase (21/28, 75%) and α-hydroxybutyrate dehydrogenase (16/28, 57%), and 11%(3/28) showed elevated levels of creatine kinase isoenzyme and myoglobin. Compared with the anti-MDA5 (-) group, the white blood cell count in the blood routine of the anti-MDA5 (+) group [5.2 (4.0, 6.5) ×10 9/L vs. 7.8 (5.6, 10.6)×10 9/L, Z=-3.447, P=0.001], creatine kinase [62.5 (29.3, 108.3) U/L vs. 481.0 (179.0, 2 738.0) U/L, Z=-5.895, P<0.001], lactate dehydrogenase [313.0 (239.0, 362.0) U/L vs. 448.0 (291.0, 542.0) U/L, Z=-3.236, P<0.001], creatine kinase isoenzyme [1.9 (1.1, 3.9)ng/ml vs. 17.7 (4.0, 67.2) ng/ml, Z=-4.724, P<0.001], myoglobin [28.2 (20.0, 43.0) ng/ml vs. 307.4 (48.1, 612.2) ng/ml, Z=-4.800, P<0.001]. Electrocardiogram analysis showed that QRS axis [33.5±265.9 vs. 46.9±22.4, t=-2.900, P=0.004], SV1 amplitude [0.7 (0.4, 0.9) vs. 0.9 (0.7, 1.0), Z=-2.148, P=0.023] in anti-MDA5 antibody (+) group in anti-MDA5 antibody (+) group were lower than anti-MDA5 antibody (-) group. QRS duration [84.0 (78.0, 96.5) vs.92.0 (87.8, 100.5), Z=-2.900, P=0.004], QRS axis [33.5±265.9 vs. 46.9±20.4, Z=-2.32, P=0.023] in the anti-MDA5 antibody (+) group were lower than those in healthy control group. Echocardiographic analysis showed that the E peak of anti-MDA5 (+) group [63.0 (52.5, 69.5)] was significantly lower than that of anti-MDA5 (-) group [85.0 (68.0, 108.0), Z=-4.926, P<0.001)]and healthy control group [67.0 (62.8, 80.3), Z=-2.897, P=0.004]. The peak A of anti-MDA5 (+) group [65.5 (56.5, 80.0)] was significantly lower than that of anti-MDA5 (-) group [76.0 (65.0, 90.0), Z=-2.631, P=0.011], but higher than that of healthy control group [55.0(51.0, 66.5), Z=-4.550, P<0.001]. There was no significant difference in echocardiographic findi-ngs among the other groups. All patients with anti-MDA5 (+) dermatomyositis had interstitial lung disease (28/28, 100%). Patients with MDA5 antibody (+++) are more likely to have cardiac involvement than patients with MDA5 antibody (++). Conclusion:The results of relevant examinations in anti-MDA5-DM patients suggest that there is damage to myocardial cells and cardiac function.
5.Association between inflammation-related dietary patterns and cognitive impairment in older adults aged 65 years and above in longevity areas of China: a reduced rank regression analysis
Yang LI ; Zihan LU ; Yangyang XIONG ; Wenjing CHEN ; Jun WANG ; Zenghang ZHANG ; Chen CHEN ; Wenhui SHI ; Xi MENG ; Zhenwei ZHANG ; Zinan XU ; Yuan XIA ; Yiqi LI ; Honglin LAI ; Yujie LI ; Cuipeng ZHANG ; Yuming ZHAO ; Yuebin LYU ; Xiaoming SHI
Chinese Journal of Epidemiology 2025;46(5):737-745
Objective:To analyze the association between inflammation-related dietary patterns and the risk for cognitive impairment in older adults aged ≥65 years in longevity areas in China by using reduced rank regression (RRR) analysis.Methods:This study used cross-sectional data from the 2021 Healthy Aging and Biomarkers Cohort Study, including the information about study participants' demographic characteristics, lifestyles, daily life activities, and disease histories. Dietary intake was obtained by using a simplified food frequency questionnaire. Cognitive impairment was evaluated based on the Mini-Mental State Examination Scale combined with years of education. Fasting venous blood samples were collected to detect inflammatory markers, especially high-sensitivity C-reactive protein (hs-CRP) and the platelet-to-lymphocyte ratio (PLR). RRR analysis was used to obtain inflammation-related dietary patterns using hs-CRP and PLR as response variables. Multivariate logistic regression model was used to analyze the association between dietary pattern score and the risk for cognitive impairment. Restricted cubic spline was used to explore the dose response relationship, and mediation analysis was used to quantify the mediating effects of hs-CRP and PLR.Results:Two dietary patterns were identified with RRR. The primary pattern was characterized by higher intakes of flour, red meat, and dairy products, and lower intake of fresh vegetables, explaining 6.84% of the variance in food intake and 0.50% of the variance in inflammatory markers. Compared with the T1 group, the T3 group had significantly higher risk for cognitive impairment ( OR=1.242, 95% CI: 1.034-1.491). Each one standard deviation increase in the dietary pattern score was associated with an 8.7% increase in the risk for cognitive impairment ( OR=1.087, 95% CI: 1.008-1.172), with a significant linear trend (overall-model P<0.001, non-linear P=0.295). Mediation analysis indicated that hs-CRP mediated 6.2% of the association between the dietary pattern and the risk for cognitive impairment. Conclusion:The inflammation- related dietary pattern characterized by higher consumption of flour, red meat, and dairy products and lower consumption of fresh vegetables is associated with an increased risk for cognitive impairment in older adults, and hs-CRP partially mediates this association.
6.Based on data mining to explore the prescription rules for treating insomnia
Zhenwei LING ; Zihui WU ; Lintao LU ; Liang KE ; Fang YUAN ; Kaihua WANG
China Modern Doctor 2025;63(20):47-50
Objective To analyze Wu Zihui's medication rules for treating insomnia through data mining technology.Methods A total of 131 medical cases diagnosed with insomnia and admitted to the Outpatient Department of Wu Zihui at the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from June 2020 to March 2024 were sorted out.After standardizing the entered medical case data using the Gujin Medical Case Cloud Platform V2.3.9,statistical analysis,cluster analysis and complex network analysis of the prescription drugs were conducted respectively to summarize the experience of prescription drug use and the rules of formula composition.Results A total of 131 medical cases involved 143 traditional Chinese medicines.It was concluded that the properties were mainly cold and neutral,the flavors were mainly sweet and bitter,the meridians were mainly liver and heart meridians,and high-frequency drugs,Baishao Baizhu,Nyuzhenzi etc.Cluster analysis yielded 5 clustering prescriptions.Complex network analysis of traditional Chinese medicine syndrome types and drugs can result in two core traditional Chinese medicine prescriptions for insomnia syndrome.Conclusion In the treatment of insomnia,attention should be paid to the treatment of heart,liver,spleen and kidney.The treatment principle should be to relieve liver depression,clear heat and purge fire,nourish heart and calm the mind,and supplement spleen and kidney.
7.Analysis of electrocardiogram and echocardiographic characteristics in patients with anti-melanoma differentiation-associated gene 5 antibody-positive dermatomyositis
Ye YUAN ; Zhenwei GUO ; Liguo YIN ; Yanyan BAI ; Jing XU ; Anhao ZHENG ; Shumin ZHANG ; Hongsheng SUN
Chinese Journal of Rheumatology 2025;29(10):855-862
Objective:To study the effect of anti-melanoma differentiation-related gene 5(MDA5) antibody positive dermatomyositis on the heart of patients.Methods:A total of 71 patients with dermatomyositis diagnosed in Shandong Provincial Hospital Affiliated to Shandong First Medical University from January 1, 2014 to December 31, 2019 were enrolled as the sample group, including anti-MDA5 (+) group( n=28); anti-MDA5(-) groups( n=43). Electrocardiogram and echocardiography were performed in the sample group and the control group. The electrocardiogram, echocardiography and other relevant clinical data of the anti-MDA5 (+) group, anti-MDA5 (-) group and the healthy control group were retrospectively analyzed. The logistic regression analysis model was used to analyze the related factors influencing cardiac involvement in anti-MDA5 (+) patients. Results:In the anti-MDA5 (+) group, more than half of the patients showed elevated levels of lactate dehydrogenase (21/28, 75%) and α-hydroxybutyrate dehydrogenase (16/28, 57%), and 11%(3/28) showed elevated levels of creatine kinase isoenzyme and myoglobin. Compared with the anti-MDA5 (-) group, the white blood cell count in the blood routine of the anti-MDA5 (+) group [5.2 (4.0, 6.5) ×10 9/L vs. 7.8 (5.6, 10.6)×10 9/L, Z=-3.447, P=0.001], creatine kinase [62.5 (29.3, 108.3) U/L vs. 481.0 (179.0, 2 738.0) U/L, Z=-5.895, P<0.001], lactate dehydrogenase [313.0 (239.0, 362.0) U/L vs. 448.0 (291.0, 542.0) U/L, Z=-3.236, P<0.001], creatine kinase isoenzyme [1.9 (1.1, 3.9)ng/ml vs. 17.7 (4.0, 67.2) ng/ml, Z=-4.724, P<0.001], myoglobin [28.2 (20.0, 43.0) ng/ml vs. 307.4 (48.1, 612.2) ng/ml, Z=-4.800, P<0.001]. Electrocardiogram analysis showed that QRS axis [33.5±265.9 vs. 46.9±22.4, t=-2.900, P=0.004], SV1 amplitude [0.7 (0.4, 0.9) vs. 0.9 (0.7, 1.0), Z=-2.148, P=0.023] in anti-MDA5 antibody (+) group in anti-MDA5 antibody (+) group were lower than anti-MDA5 antibody (-) group. QRS duration [84.0 (78.0, 96.5) vs.92.0 (87.8, 100.5), Z=-2.900, P=0.004], QRS axis [33.5±265.9 vs. 46.9±20.4, Z=-2.32, P=0.023] in the anti-MDA5 antibody (+) group were lower than those in healthy control group. Echocardiographic analysis showed that the E peak of anti-MDA5 (+) group [63.0 (52.5, 69.5)] was significantly lower than that of anti-MDA5 (-) group [85.0 (68.0, 108.0), Z=-4.926, P<0.001)]and healthy control group [67.0 (62.8, 80.3), Z=-2.897, P=0.004]. The peak A of anti-MDA5 (+) group [65.5 (56.5, 80.0)] was significantly lower than that of anti-MDA5 (-) group [76.0 (65.0, 90.0), Z=-2.631, P=0.011], but higher than that of healthy control group [55.0(51.0, 66.5), Z=-4.550, P<0.001]. There was no significant difference in echocardiographic findi-ngs among the other groups. All patients with anti-MDA5 (+) dermatomyositis had interstitial lung disease (28/28, 100%). Patients with MDA5 antibody (+++) are more likely to have cardiac involvement than patients with MDA5 antibody (++). Conclusion:The results of relevant examinations in anti-MDA5-DM patients suggest that there is damage to myocardial cells and cardiac function.
8.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
9.Construction and validation of a machine learning model for preoperative prediction of perineural invasion status in intrahepatic cholangiocarcinoma
Zuochao QI ; Zhenwei YANG ; Qingshan LI ; Hao YUAN ; Pengyu CHEN ; Haofeng ZHANG ; Yanbo WANG ; Dongxiao LI ; Bo MENG ; Haibo YU ; Deyu LI
Chinese Journal of Hepatobiliary Surgery 2024;30(6):424-430
Objective:To construct and validate a machine learning model for preoperative prediction of perineural invasion (PNI) status in intrahepatic cholangiocarcinoma (ICC).Methods:Clincial data of 329 patients, including 245 admitted to Zhengzhou University People's Hospital from January 2018 to June 2023 and 84 admitted to the Affiliated Cancer Hospital of Zhengzhou University from January 2013 to January 2020 were retrospectively analyzed. Patients were divided into a training set ( n=231) and a validation set ( n=98). Clinicopathological data including age, gender, hepatitis B virus (HBV) infection status were collected. Predictive variables were determined using least absolute shrinkage and selection operator (LASSO) regression analysis. Six machine learning algorithms including random forest (RF), logistic regression, and linear kernel-based support vector machine were selected to construct the preoperative prediction model for PNI in ICC. Performance metrics of the model were calculated using a confusion matrix, and the final model was selected. The model performance was evaluated in the validation set. Calibration curves were plotted to evaluate the final model, and a Pareto chart was used to visualize the importance of predictive variables. Results:LASSO regression identified nine predictive variables included in the prediction model, including carbohydrate antigen 19-9 (CA19-9), HBV infection status, alkaline phosphatase, alanine aminotransferase, prothrombin time, total bilirubin, albumin, neutrophil times gamma-glutamyl transferase to lymphocyte ratio, and tumor burden score. Among the trained six models, the area under the curve (AUC) of the RF model was 0.909, with a sensitivity of 0.842 and an accuracy of 0.870. Compared with the AUC of the RF model, the AUCs of the other 5 models were lower (all P<0.05). The AUC of the RF model for predicting PNI in ICC in validation set was 0.736. Calibration curves showed good fit of the RF model's prediction of PNI in ICC in both training and validation sets. The Pareto chart showed that CA19-9 was the most important predictive variable in the model, followed by HBV infection status. Conclusion:The machine learning model based on the RF algorithm has a high accuracy in preoperative prediction of PNI status in ICC.
10.The predictive value of systemic immune-inflammatory response index combined with tumor burden score in the prognosis of patients after radical resection for intrahepatic cholangiocarcinoma
Hao YUAN ; Haofeng ZHANG ; Qingshan LI ; Guan HUANG ; Zhenwei YANG ; Pengyu CHEN ; Zuochao QI ; Chenxi XIE ; Bo MENG ; Haibo YU
Chinese Journal of Digestion 2024;44(4):257-265
Objective:To explore the prognostic value of systemic immune-inflammatory index(SII)combined with tumor burden score (TBS) (hereinafter referred to as STS) in patients with intrahepatic cholangiocarcinoma (ICC) after radical resection, and to construct a nomogram model.Methods:The clinical data (including the degree of tumor differentiation, vascular cancer thrombus, and lymph node metastasis, etc.) of 258 ICC patients who received radical resection at People′s Hospital of Zhengzhou University (170 cases, training set) and Cancer Hospital of Zhengzhou University (88 cases, validation set) from January 1, 2016 to January 31, 2020 were retrospectively analyzed and graded by SII, TBS and STS. Multivariate Cox regression analysis were used to identify independent factors affecting the prognosis of patients with ICC. Kaplan-Meier survival curve and receiver operating characteristic curve (ROC) were drawn to evaluate the predictive efficiency of SII, TBS and STS in the overall survival of patients with ICC after radical resection. The nomogram prediction model was constructed and evaluate the performance of nomogram model using consistency index (C-index) and calibration curve.Results:Among 170 ICC patients in the training set, there were 106 cases of SII grade 1 and 64 cases of SII grade 2; 137 cases of TBS grade 1 and 33 cases of TBS grade 2; and 98 cases of STS grade 1, 47 cases of STS grade 2, and 25 cases of STS grade 3. Among 88 ICC patients in the validation set, there were 33 cases of SII grade 1 and 55 cases of SII grade 2; 66 cases of TBS grade 1 and 22 cases of TBS grade 2; and 30 case of STS grade 1, 39 cases of TBS grade 2, and 19 cases of TBS grade 3.The multivariate Cox regression analysis showed that tumor differentiation degree (highly differentiated vs. moderately differentiated HR=0.157, 95% confidence interval(95% CI) 0.045 to 0.546, highly differentiated vs. poorly differentiated HR=0.452, 95% CI 0.273 to 0.750), STS (grade 3 vs. grade 2 HR=1.966, 95% CI 1.148 to 3.469; grade 3 vs. grade 1 HR=1.405, 95% CI 0.890 to 2.216), vascular cancer thrombus ( HR=2.006, 95% CI 1.313 to 3.066), nerve invasion ( HR=1.865, 95% CI 1.221 to 2.850), and lymph node metastasis ( HR=1.802, 95% CI 1.121 to 2.896) were independent influencing factors of overall survival in ICC patients after radical resection (all P<0.05). The Kaplan-Meier survival curve showed that SII, TBS, and STS were independent influencing factors of overall survival in ICC patients (all P<0.05). The results of ROC analysis showed that the areas under the curve of SII, TBS and STS in predicting overall survival of ICC patients after radical resection were 0.566 (95% CI 0.479 to 0.652), 0.585 (95% CI 0.499 to 0.672), and 0.657 (95% CI 0.522 to 0.692), respectively. Tumor differentiation, vascular tumor thrombus, nerve invassion, lymph node metastasis, and STS were included to constract the nomogram model. The C-indexes of the training set and validation set based on the nomogram model were 0.792 (95% CI 0.699 to 0.825) and 0.776 (95% CI 0.716 to 0.833), respectively. The calibration curves of the survival rate of the training set and the validation set were close to the reference lines, and the nomogram model had better predictive ability in both the training set and the validation set. Conclusions:Preoperative STS grading is an effective and practical predictor of overall survival in ICC patients after radical section. Compared with SII and TBS alone, it has better predictive value for the prognosis of patients with ICC.

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