1.Self-monitoring blood pressure behavior and its influencing factors among residents in Jiangsu Province
MIAO Caiyun ; QIN Yu ; WAN Yanan ; CHEN Lulu ; CUI Lan ; WANG Xiaoli
Journal of Preventive Medicine 2025;37(3):223-227
Objective:
To investigate the self-monitoring blood pressure behavior and its influencing factors among residents in Jiangsu Province, so as to provide the basis for strengthening proactive blood pressure monitoring among residents.
Methods:
Permanent residents aged 35-75 years in six counties (cities, districts), Jiangsu Province, were selected using the stratified cluster sampling method in 2023. Data on basic information, disease history, and self-monitoring blood pressure behavior were collected, height and weight were measured to calculate the body mass index (BMI); and blood glucose and lipid levels were measured. Self-monitoring blood pressure behavior was defined as having measured blood pressure at least once in the past three months. Factors affecting self-monitoring blood pressure behavior were identified using a multivariable logistic regression model.
Results:
A total of 12 475 residents were surveyed, including 5 748 males and 6 727 females, with a male-to-female ratio of 1∶1.17. There were 3 855 residents aged 45-<55 years (30.90%) and 5 511 residents who had self-monitoring blood pressure behaviors (44.18%). Multivariable logistic regression analysis showed that the residents who were males (OR=1.167, 95%CI: 1.081-1.261), lived in rural areas (OR=1.430, 95%CI: 1.321-1.547), aged 45-75 years (45-<55 years, OR=1.384, 95%CI: 1.241-1.543; 55-<65 years, OR=1.397, 95%CI: 1.243-1.570; 65-75 years, OR=1.196, 95%CI: 1.049-1.363), had an annual household income ≥30 000 yuan (30 000-<60 000 yuan, OR=1.190, 95%CI: 1.072-1.321; 60 000-<110 000 yuan, OR=1.330, 95%CI: 1.191-1.485; ≥110 000 yuan, OR=1.746, 95%CI: 1.536-1.984), were overweight (OR=1.170, 95%CI: 1.070-1.280) or obese (OR=1.248, 95%CI: 1.120-1.391), were unaware (OR=1.221, 95%CI: 1.103-1.353) or aware (OR=3.937, 95%CI: 3.575-4.335) of having hypertension, were aware of having diabetes (OR=1.538, 95%CI: 1.354-1.749), and aware of having dyslipidemia (OR=1.265, 95%CI: 1.106-1.447) were more likely to have self-monitoring blood pressure behaviors.
Conclusions
Among the residents aged 35-75 years in Jiangsu Province, 44.18% had self-monitoring blood pressure behavior. Gender, place of residence, age, annual household income, BMI, hypertension, diabetes, and dyslipidemia were identified as influencing factors for self-monitoring blood pressure behavior.
2.Safety and efficacy of Angong Niuhuang Pills in patients with moderate-to-severe acute ischemic stroke (ANGONG TRIAL): A randomized double-blind placebo-controlled pilot clinical trial.
Shengde LI ; Anxin WANG ; Lin SHI ; Qin LIU ; Xiaoling GUO ; Kun LIU ; Xiaoli WANG ; Jie LI ; Jianming ZHU ; Qiuyi WU ; Qingcheng YANG ; Xianbo ZHUANG ; Hui YOU ; Feng FENG ; Yishan LUO ; Huiling LI ; Jun NI ; Bin PENG
Chinese Medical Journal 2025;138(5):579-588
BACKGROUND:
Preclinical studies have indicated that Angong Niuhuang Pills (ANP) reduce cerebral infarct and edema volumes. This study aimed to investigate whether ANP safely reduces cerebral infarct and edema volumes in patients with moderate to severe acute ischemic stroke.
METHODS:
This randomized, double-blind, placebo-controlled pilot trial included patients with acute ischemic stroke with National Institutes of Health Stroke Scale (NIHSS) scores ranging from 10 to 20 in 17 centers in China between April 2021 and July 2022. Patients were allocated within 36 h after onset via block randomization to receive ANP or placebo (3 g/day for 5 days). The primary outcomes were changes in cerebral infarct and edema volumes after 14 days of treatment. The primary safety outcome was severe adverse events (SAEs) for 90 days.
RESULTS:
There were 57 and 60 patients finally included in the ANP and placebo groups, respectively for modified intention-to-treat analysis. The median age was 66.0 years, and the median NIHSS score at baseline was 12.0. The changes in cerebral infarct volume at day 14 were 0.3 mL and 0.4 mL in the ANP and placebo groups, respectively (median difference: -7.1 mL; interquartile range [IQR]: -18.3 to 2.3 mL, P = 0.30). The changes in cerebral edema volume of the ANP and placebo groups on day 14 were 11.4 mL and 4.0 mL, respectively ( median difference: 3.0 mL, IQR: -1.3 to 9.9 mL, P = 0.15). The rates of SAE within 90 days were similar in the ANP (3/57, 5%) and placebo (7/60, 12%) groups ( P = 0.36). Changes in serum mercury and arsenic concentrations were comparable. In patients with large artery atherosclerosis, ANP reduced the cerebral infarct volume at 14 days (median difference: -12.3 mL; IQR: -27.7 to -0.3 mL, P = 0.03).
CONCLUSIONS:
ANP showed a similar safety profile to placebo and non-significant tendency to reduce cerebral infarct volume in patients with moderate-to-severe stroke. Further studies are warranted to assess the efficacy of ANP in reducing cerebral infarcts and improving clinical prognosis.
TRAIL REGISTRATION
Clinicaltrials.gov , No. NCT04475328.
Aged
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Female
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Humans
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Male
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Middle Aged
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Double-Blind Method
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Drugs, Chinese Herbal/adverse effects*
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Ischemic Stroke/drug therapy*
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Pilot Projects
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Stroke/drug therapy*
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Treatment Outcome
3.Burden and risk factors of stroke worldwide and in China: An analysis from the Global Burden of Disease Study 2021.
Zhengbao ZHU ; Mengyao SHI ; Quan YU ; Jiawen FEI ; Beiping SONG ; Xiaoli QIN ; Lulu SUN ; Yonghong ZHANG
Chinese Medical Journal 2025;138(20):2588-2595
BACKGROUND:
Stroke is the leading cause of death and long-term disability worldwide, including China. This study aimed to provide timely updates on stroke burden and stroke-related risk factors to help improve population-based prevention and control strategies.
METHODS:
Based on the Global Burden of Disease study 2021, incidence rate, prevalence rate, mortality rate, and disability-adjusted life-year (DALY) rate were used to estimate stroke burden trend from 1990 to 2021.
RESULTS:
In 2021, China had 4.1 million incident stroke cases, 26.3 million prevalent stroke cases, 2.6 million stroke related deaths, and 53.2 million stroke related DALYs, compared to 11.9 million incident stroke cases, 93.8 million prevalent stroke cases, 7.3 million stroke related deaths, and 160.5 million stroke-related DALYs worldwide. In 2021, the top six risk factors contributing to stroke burden were high blood pressure, air pollution, tobacco consumption, dietary risk factors, high low-density lipoprotein cholesterol, and high fasting plasma glucose, both in China and worldwide. From 1990 to 2021, China had significant increases of incidence rate, prevalence rate, mortality rate, and DALY rate for stroke, with estimates of 100.6 (95% uncertainty intervals [UI]: 87.2, 114.1)%, 102.9 (95% UI: 95.5, 110.9)%, 40.0 (95% UI: 14.9, 72.3)% and 15.7 (95% UI: -4.6, 41.2)%, respectively, while global incidence rate, prevalence rate, mortality rate and DALY rate for total stroke showed relatively moderate increases or even decreases, with estimates of 15.0 (95% UI: 12.1,18.0)%, 25.8 (95% UI: 23.7, 28.0)%, -2.6 (95% UI: -10.6, 5.5)%, and -10.7 (95% UI: -17.7, -3.6)%, respectively.
CONCLUSION
Stroke remains a huge disease burden worldwide and in China, and compared to the worldwide China has a significantly higher burden of stroke.
Humans
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Stroke/etiology*
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China/epidemiology*
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Risk Factors
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Global Burden of Disease
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Disability-Adjusted Life Years
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Prevalence
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Incidence
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Female
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Quality-Adjusted Life Years
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Male
4.Evidence-based evaluation of the global cancer-associated thromboembolism risk assessment tools
Xiaoli QIN ; Xiurong GAO ; Qin HE ; Shunlong OU ; Jing LUO ; Hua WEI ; Qian JIANG
China Pharmacy 2024;35(3):333-338
OBJECTIVE To evaluate the global cancer-associated thromboembolism risk assessment tools based on evidence- based methods, and to provide methodological reference and evidence-based basis for constructing a specific tool in China. METHODS A comprehensive search was conducted on 6 databases, including CNKI, Wanfang data, VIP, CBM, PubMed, and Embase, as well as on the websites of NCCN, ASCO, ESMO and so on with a deadline of June 30, 2022. Furthermore, a supplementary search was conducted in January 2023. The essential characteristics and methodological quality of included risk assessment tools were described and analyzed qualitatively, focusing on comparing each assessment stratification ability. RESULTS Totally 14 risk assessment tools were included in the study, with a sample size of 208-18 956 cases and an average age distribution of 53.1-74.0 years. The applicable population included outpatient cancer student@sina.com patients, lymphoma patients, and multiple myeloma patients,etc. The common predictive factors were body mass index, venous thromboembolism history, and tumor site. All tools had undergone methodological validation, with 9 presented in a weighted scoring format. Only seven tools were used simultaneously for specificity, sensitivity, negative predictive value (NPV), positive predictive value (PPV) and area under the curve (AUC) or C statistical analysis. CONCLUSIONS The risk of bias in constructing existing tools is high, and the heterogeneity of tool validation results is significant. The overall methodological quality must be improved, and its risk stratification ability must also be investigated. There are still certain limitations in clinical practice in China.
5.Analysis of a child with developmental disorder and epilepsy due to a homozygous variant of SLC25A12 gene
Shitao WEI ; Xiaoli HUANG ; Luoxiao QIN ; Mo QIN ; Yilan ZHOU ; Bin YU ; Dejian YUAN ; Rongsong YI ; Yang TIAN
Chinese Journal of Medical Genetics 2024;41(7):830-834
Objective:To explore the genetic basis for a child featuring global developmental delay and epilepsy.Methods:A child who had presented at Guangzhou Women and Children′s Medical Center Liuzhou Hospital on February 19, 2023 was selected as the study subject. Clinical data of the child was collected. The child was subjected to whole exome sequencing, and candidate variant was validated by Sanger sequencing and bioinformatic analysis.Results:The child, an 8-month-old girl, had manifested with global developmental delay, epilepsy, and hyperlactacidemia. Cranial MRI revealed diverse hypomyelinating leukodystrophies. Electroencephalogram showed slow background activities. Genetic testing revealed that she has harbored a homozygous variant of the SLC25A12 gene, namely c. 115T>G (p.Phe39Val), for which both of her parents were heterozygous carriers. Based on the guidelines from the American College of Medical Genetics and Genomics, the variant was predicted to be of uncertain significance (PM2_Supporting+ PM3_Supporting+ PP3_Moderate+ PP4_Moderate). I-Mutant v3.0 software predicted that the variant may affect the stability of protein product. Conclusion:The homozygous c. 115T>G (p.Phe39Val) variant of the SLC25A12 gene probably underlay the pathogenesis of the disease in this child.
6.The value of a machine learning-based biparametric MRI radiomics model in predicting clinically significant prostate cancer in the transitional zone
Lu LI ; Xu YAN ; Ke MA ; Yuting WANG ; Qin JIN ; Yiqi PAN ; Qi SUN ; Xiaoli MAI
Journal of Practical Radiology 2024;40(11):1837-1842
Objective To evaluate the value of a machine learning-based biparametric magnetic resonance imaging(bpMRI)radiomics model in predicting clinically significant prostate cancer(csPCa)in the transitional zone.Methods A retrospective analysis was con-ducted on 507 cases in two medical centers.All patients underwent prostate MRI examinations before surgery,with complete patho-logical data.The case distribution was as follows:256 cases of csPCa,97 cases of clinically insignificant prostate cancer(ciPCa),and 154 cases of benign prostatic hyperplasia(BPH).Using the R language,the data from Center One was randomly divided into training and test groups at a ratio of 7∶3,and the data from Center Two as an independent external validation group.The image features from T2 WI and diffusion weighted imaging(DWI)were extracted,and the least absolute shrinkage and selection operator(LASSO)was used to reduce dimensionality and filter features.Two datasets were constructed based on T2 WI features alone and combined T2 WI and DWI features.Six prediction models were established using random forest(RF),logistic regression(LR),and support vector machine(SVM).The efficacy of six models of T2 WI features and combined T2 WI and DWI features in the diagnosis of prostate dis-eases through receiver operating characteristic(ROC)curve,area under the curve(AUC),and decision curve analysis(DCA)were compared and evaluated.Results In the training group,feature screening identified 7 and 8 features from the T2WI single sequence and the T2WI with DWI dual sequence for csPCa prediction in the transitional zone.The results showed that the T2WI with DWI dual sequence RF model had the highest AUC performance.The AUC of the training,test,and validation groups were 0.950,0.866,and 0.818,respectively.The test group accuracy was 0.805,sensitivity was 0.690,and specificity was 0.920;the validation group accu-racy was 0.726,sensitivity was 0.661,and specificity was 0.793.DCA showed that within a wide probability threshold range,the T2 WI with DWI dual sequence RF model had the greatest net benefit.Conclusion Based on the bpMRI radiomics model,non-invasive prediction of csPCa in the transitional zone can be achieved before surgery,which helps to make clinical diagnosis and treatment decisions.
7.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.
8.Research progress in the effect of alternative splicing on radiosensitivity of cancer cells
Zifan QIN ; Xiaoli ZHENG ; Kangdong LIU ; Hong GE
Chinese Journal of Radiation Oncology 2024;33(5):479-484
Radiation therapy is one of the most important treatment methods for malignant tumors. Radiosensitivity is the key factor affecting the therapeutic effect of radiation therapy for tumor patients, which has been a hot topic of research. Alternative splicing is a vital post-transcriptional regulatory step in the process of gene expression. It can produce a variety of different splicing isoforms of pre-mRNA, and then produce various proteins which play a crucial role in maintaining normal life activities of the body. Compared with normal cells, tumor cells have a higher proportion of splicing disorder events, which can lead to the occurrence of pathological processes such as genomic instability and angiogenesis, thus resulting in the progression of diseases. Abnormal splicing events occurring in tumors can be used as new therapeutic targets. In this article, RNA alternative splicing, splicing events affecting radiosensitivity, and the prospects were reviewed.
9.Design and application effect of a multisensory supported device for preterm infants
Sha SHA ; Xiaoli TANG ; Ying ZHANG ; Yanmin QIN ; Junyi SHEN ; Qian JIN ; Xiaochen YANG
Chinese Journal of Nursing 2024;59(18):2300-2304
Objective To design a multisensory supported device and evaluate its effectiveness on preterm infants(born before 34 weeks)during NICU hospitalization.Methods The multisensory supported device is composed of a basement,several soft cushions and an adjustable eye mask.The inner layer of the device comprises of the head and tail boundaries,serves as uterine wall-like circular boundaries.The outer skeleton is equipped with multisensory stimulation modules to provide visual,hearing,and tactile sensory stimulations for premature infants.The study was conducted in a NICU of a tertiary A children specialist hospital in Shanghai,China.The convenience sampling method was used and based on the ratio of 1∶2 between the experimental and the control group in this study.The control group was treated by standard nursing care,while the experiment group was treated with the multisensory supported device in addition to NICU conventional care.All infants were assessed during the week of admission and again at corrected gestational age of 36 weeks.The actigraphy watch which was used for 72 hours continuous record of the activities of study infants,allows the researcher to compare the activity scores,wakefulness and sleep indicators of 2 groups of infants.Results 71 preterm infants were enrolled in the study,and 60 preterm infants completed data collection for study data analysis,including 20 in the experimental group and 40 in the control group.There were no statistical differences in demographic characteristics and clinical status regarding wakefulness,sleep and physical development between the 2 groups in baseline(P>0.05).At 36 weeks of corrected gestational age,the activity score of the experimental group was(46.61±12.14)points,and that of the control group was(57.33±18.36)points,with statistically significant differences in 2 groups(P=0.024).The total waking time of the experimental group was(384.85±169.42)min,and that of the control group was(492.08±220.45)min,with statistically significant differences in 2 groups(P=0.049).There was no statistical difference in other indicators between 2 groups(P>0.05).Conclusion The multisensory supported device can reduce high-frequency unpleasant activity as well as frequent wakefulness status,which could promote the sleeping quality of preterm infants.Further studies are needed to verify further effects of the device on premature infants'physical development.
10.Diagnostic value of multiparametric MRI deep learning artificial intelligence analysis combined with 68Ga-PSMA PET for prostate cancer
Chunxia QIN ; Yuhu LYU ; Zhibo DAI ; Siqi WEI ; Weiwei RUAN ; Yongkang GAI ; Xiaoli LAN
Chinese Journal of Nuclear Medicine and Molecular Imaging 2024;44(9):516-521
Objective:To evaluate the diagnostic efficacy of the multiparametric MRI (mpMRI) deep learning artificial intelligence (AI) analysis system combined with 68Ga-prostate specific membrane antigen (PSMA) PET for prostate cancer. Methods:Data of 103 patients (age: 45-85 years) who underwent 68Ga-PSMA PET/MR at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from May 2018 to October 2023 for suspected or confirmed prostate cancer were retrospectively collected. ROI was delineated to measure SUV max of primary tumor or prostate, and a deep learning AI system was applied to analyze MR images of the prostate. The diagnostic efficacies of T 2 weighted imaging (WI), diffusion WI (DWI), mpMRI, PET SUV max, and PET/MR for prostate cancer were assessed, with using the pathological results as the gold standard. Results:Among 103 patients, 82 cases (79.61%) were with prostate cancer. PET unimodality demonstrated the best specificity (100%, 21/21), positive predictive value (100%, 58/58), and AUC (0.860, 95% CI: 0.777-0.920). The mpMRI AI analysis provided rapid diagnostic results and the sensitivity and accuracy were improved by combining with PET (sensitivities of PET, mpMRI and the combination of the two were 70.73%(58/82), 86.59%(71/82), and 92.68%(76/82), respectively; the accuracies were 76.70%(79/103), 81.55%(84/103) and 86.41%(89/103), respectively). Among 44 patients with negative PET, 30 patients received an accurate diagnosis when the results of mpMRI AI analysis were added. Conclusions:68Ga-PSMA PET demonstrates good specificity for prostate cancer and mpMRI AI analysis is time-saving. The combined application improves the diagnostic sensitivity and accuracy, which provides a valuable tool for 68Ga-PSMA PET/MR image analysis.


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