1.Annual review of basic research on lung transplantation worldwide in 2025
Jier MA ; Kemeng SUN ; Xiaohan JIN ; Jiaqi LI ; Xinyue ZHANG ; Chama LOUJAINE ; Junmin ZHU ; Hengtao LIN ; Xiangyun ZHENG ; Junjie WANG ; Zengwei YU ; Yaling LIU ; Haoji YAN ; Dong TIAN
Organ Transplantation 2026;17(4):582-593
Lung transplantation is a definitive treatment for end-stage lung disease and can significantly improve patient prognosis. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury and chronic lung allograft dysfunction intertwine to form a complex pathological network, posing persistent challenges to long-term patient survival. In 2025, research teams worldwide have made systematic progress in the field of basic lung transplantation research. By integrating cutting-edge technologies including single-cell multi-omics, spatial transcriptomics and novel animal models, significant breakthroughs have been achieved in the evolutionary dynamics of drug-resistant infections, molecular mechanisms of immune regulation, programmed cell death, optimization of donor lung protection strategies and early warning of chronic lung allograft dysfunction. This article systematically reviews the representative advances in basic lung transplantation research worldwide in 2025, and deeply analyzes the implications of mechanistic breakthroughs for optimizing diagnosis and treatment strategies, aiming to anchor the direction for innovative breakthroughs and clinical translation in basic lung transplantation research.
2.Epidemiological characteristics of influenza-like illness and detection of influenza viruses in Xiaogan City, Hubei Province, 2020‒2024
Shanghai Journal of Preventive Medicine 2026;38(7):522-526
ObjectiveTo analyze the epidemiological characteristics of influenza-like illness (ILI) cases and the distribution patterns of influenza virus types in Xiaogan City from 2020 to 2024, and to provide a scientific basis for local influenza prevention and control. MethodsData on ILI surveillance reported by two national sentinel hospitals in Xiaogan City and influenza virus detection data reported by the network laboratory of Xiaogan Center for Disease Control and Prevention during 2020‒2024 were collected. All data were stratified and statistically analyzed by time, age and gender. Inter-group differences were compared using the chi-square (χ²) test, and statistical analyses were performed with SPSS 27.0 software. ResultsA total of 781 528 outpatient and emergency cases were reported by two sentinel hospitals in Xiaogan City from 2020 to 2024, among which 34 078 were ILI cases, with an ILI proportion (ILI%) of 4.36%. The highest proportion of ILI cases was observed in the 0‒<5 years age group, accounting for 28.62% (9 754/34 078). A total of 11 000 surveillance samples were tested, and 1 515 were positive for influenza virus, with an overall positive rate of 13.77%. Among the positive samples, 724 (47.79%) were influenza A (H3N2) subtype, 232 (15.31%) were influenza A (H1N1) subtype, 554 (36.57%) were influenza B (Victoria lineage), and 5 (0.33%) were mixed infections. A statistically significant difference was found in the seasonal distribution of influenza virus positivity rate (χ²=9 120.63, P<0.001). Epidemic peaks mainly occurred in winter and spring, with positivity rates ranging from 42.22% to 76.62%, while summer epidemic peaks were observed only in 2021 and 2022 (positivity rate was 21.48% and 43.03%, respectively). A statistically significant difference was also observed in influenza virus positivity rate among different age groups (χ²=846.61, P<0.001), with the highest influenza positive rate in the 5‒<15 years age group. No statistically significant difference was found in gender distribution (χ²=2.43, P=0.650). ConclusionThe influenza epidemic season in Xiaogan City is mainly in winter and spring, with occasional summer peaks. Prevention and control efforts should focus on children and adolescents aged 5 to <15 years, and targeted measures should be adopted in key settings such as schools. It is necessary to continuously strengthen influenza surveillance to provide a scientific basis for formulating prevention and control strategies.
3.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
4.Typical failure treatment of large-aperture 16-slice spiral Siemens SOMATOM Sensation Open CT
Yu-kun ZHU ; Shi-dong CHENG ; Ming YANG ; Fei WENG ; Jing TIAN ; Chen LIANG
Chinese Medical Equipment Journal 2025;46(11):112-114
Three typical failures of large-aperture 16-slice spiral Siemens SOMATOM Sensation Open CT were introduced in terms of phenomenon,cause and treatment method.References were provided for medical engineers to treat similar failures.
5.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
6.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
7.Symptoms and quality of life benefits of successful percutaneous coronary intervention in left main disease and/or 3-vessel disease patients with diabetes
Bo-da ZHU ; Tian-tong YU ; Peng HAN ; Bo-hui ZHANG ; Xi ZHANG ; Ping YUAN ; Gang WANG ; Yi YANG ; Hui-li ZHU ; Pan-pan SUN ; Tong-tong LI ; Shuai ZHAO ; Cheng-xiang LI ; Kun LIAN
Chinese Journal of Interventional Cardiology 2025;33(2):93-100
Objective To investigate whether successful percutaneous coronary intervention(PCI)could improve symptoms and quality of life(QOL)in left main disease and/or 3-vessel disease patients with diabetes.Methods Patients with left main disease and/or 3-vessel disease who underwent PCI in the First Affiliated Hospital of Air Force Medical University from April 2018 to May 2021 were consecutively enrolled and subdivided into 2 groups:diabetes and no diabetes.Detailed baseline characteristics,symptoms,including dyspnea and angina,assessed with the Rose dyspnea scale(RDS),Seattle angina questionnaire(SAQ),the European quality of life-5 dimensions(EQ-5D)and 12-item short-form health survey(SF-12)questionnaire respectively,procedural details,and 1 month and 1 year follow-up data were collected.Results Among 440 left main disease and/or 3-vessel disease patients,disease was present in 176(40.00%),who had more hypertension,peripheral artery disease,and LCX lesion(all P<0.05).The incidence of major adverse cardiovascular events(MACE)and all-cause mortality were similar between the two groups(both P>0.05)at 1 month follow-up,while all-cause mortality in diabetes patients was significantly higher than those without diabetes at 1 year follow-up(P=0.013).Low left ventricular ejection fraction was an independent risk factor for MACE and all-cause mortality at 1 month and 1 year follow-up after successful revascularization(all P<0.05).Most importantly,symptoms,including dyspnea and angina,and QOL were markedly improved regardless of diabetes both at 1 month and 1 year follow-up(all P<0.05).Diabetes patients showed improved dyspnea and QOL at similar degree to the non-diabetes patients(all P>0.05)and a more significantly relieved angina(P=0.013).Additionally,the number of chronic total occlusion(CTO)per patient was identified as an independent risk factor of dyspnea(OR 0.723,95%CI 0.525~0.997,P=0.048)and angina relief(OR 0.686,95%CI 0.473~0.995,P=0.047),and the contrast volume(OR 0.995,95%CI 0.992~0.999,P=0.008)as an independent risk factor of QOL improvement in diabetic patients.Conclusions Successful PCI is beneficial for relieving symptoms and improving quality of life in patients with diabetes who have left main disease and/or 3-vessel disease.
8.A study on the correlation between HPV DNA and IHC P16 expression in cervical lesions
Haochen WANG ; Liqing JIA ; Yu YANG ; Qian WANG ; Chengli YU ; Tian TIAN ; Rui BI ; Xiaoyu TU ; Qianming BAI ; Xiaoli ZHU ; Xiaoyan ZHOU ; Min REN
China Oncology 2025;35(3):298-308
Background and purpose:Human papilloma virus(HPV)infection status is crucial for diagnosing cervical precancerous lesions and classifying cervical cancer.High-risk(HR)HPV is often linked to P16 protein overexpression,so P16 detection via immunohistochemistry(IHC)is commonly used to assess HPV infection.However,the differences between HPV status and P16 expression remains unclear.An in-depth study of the correlation between HPV and P16 is essential for clinical guidance.Methods:We retrospectively collected clinical and pathological data of cervical lesions from 618 patients diagnosed at the Department of Pathology,Fudan University Shanghai Cancer Center from January 2020 to December 2023(Ethical number:050432-4-2307E).Polymerase chain reaction(PCR)reverse dot hybridization was used to detect HPV including HR and low-risk(LR)subtypes,and immunohistochemistry was used to detect P16 for comparative analysis.Based on different clinical and pathological diagnoses,the sensitivity and specificity of P16 expression in evaluating HPV infection were evaluated.Among the 618 cases of cervical lesions,there were 92 cases of cervical squamous cell carcinoma,257 cases of cervical adenocarcinoma,79 cases of high-grade squamous intraepithelial lesions(HSIL),105 cases of low-grade squamous intraepithelial lesions(LSIL),and 85 cases of chronic cervical inflammation.Results:According to clinical diagnosis,the HR-HPV positive rate in cervical squamous cell carcinoma was 88.0%(81/92),the P16 positive rate was 91.3%(84/92),and the overall consistency rate between P16 and HPV detection was 90.2%(88/92);for HR-HPV infection,the sensitivity and specificity of P16 were 96.3%and 45.5%.The positive rate of HR-HPV in adenocarcinoma was 54.5%(140/257),the positive rate of P16 was 58.8%(151/257),and the overall consistency rate between P16 and HPV detection was 82.5%(212/257);for HR-HPV infection,the sensitivity and specificity of P16 were 87.9%and 76.1%.In HSIL,the HR-HPV positive rate was 75.9%(60/79),the positive rate of P16 was 70.9%(56/79),and the overall consistency rate between P16 and HR-HPV detection was 82.2%(65/79);for HR-HPV infection,the sensitivity and specificity of P16 were 85.0%and 73.7%.In LSIL,the HR-HPV positive rate was 73.3%(77/105),the positive rate of P16 was 8.5%(9/105),and the overall consistency rate between P16 and HR-HPV detection was 33.3%(35/105);for HR-HPV infection,the sensitivity and specificity of P16 were 10.4%and 96.4%.In chronic cervical inflammation,the HR-HPV positive rate was 20%(17/85),the positive rate of P16 was 0.0%(0/85);for HR-HPV infection,the sensitivity and specificity of P16 were 0.0%and 100.0%.There was a significant positive correlation between P16 positivity and HPV16/18 in cervical squamous cell carcinoma,adenocarcinoma,and HSIL(P=0.000),while there was no significant correlation in LSIL and chronic cervical inflammation(P>0.05).Conclusion:In cervical squamous cell carcinoma and adenocarcinoma,the consistency of P16 expression and HPV DNA positivity are high,especially in HPV16/18 subtype.There is a good concordance between HR-HPV positivity and P16 protein overexpression.The positive expression of P16 in HSIL may initially reflect HPV infection status.However,in LSIL and chronic cervicitis,P16 expression may not accurately correlate with HPV infection.The inconsistency between P16 and HPV DNA testing could be influenced by multiple factors,including HPV subtypes,histopathological categories,specimen quality,and technical limitations.In clinical practice,it is recommended to conduct comprehensive analysis or employ multiple diagnostic methods to confirm HPV infection status for precise evaluation.
9.Typical failure treatment of large-aperture 16-slice spiral Siemens SOMATOM Sensation Open CT
Yu-kun ZHU ; Shi-dong CHENG ; Ming YANG ; Fei WENG ; Jing TIAN ; Chen LIANG
Chinese Medical Equipment Journal 2025;46(11):112-114
Three typical failures of large-aperture 16-slice spiral Siemens SOMATOM Sensation Open CT were introduced in terms of phenomenon,cause and treatment method.References were provided for medical engineers to treat similar failures.
10.Predictive value of dose surface histogram for acute radiation proctitis induced by image guided radiotherapy for cervical cancer
Qing-xiao LIU ; Yue-xiang ZHU ; Wei WEI ; Long TIAN ; Song-lin YANG ; Zheng WANG ; Yu-sen ZHAO ; Su-li WANG ; Mao-ye CHANG
Chinese Medical Equipment Journal 2025;46(3):48-53
Objective To explore the predictive value of dose surface histogram(DSH)in image guided radiotherapy(IGRT)for radiotherapy-induced acute radiation proctitis(ARP)in cervical cancer(CCA).Methods Totally 380 patients with CCA IGRT admitted to some hospital from May 2019 to May 2023 were selected prospectively and randomly divided into a control group(n=1 80)and an experimental group(n=200).The patients in the 2 groups were followed up and the incidence rates of ARP were counted,and rectal dose distribution was evaluated using dose volume histogram(DVH)in the control group and DSH in the experimental group.The predictive values of DVH and DSH for ARP were evaluated and compared using ROC curves.Statistical analysis was performed using SPSS 21.0 software.Results The two groups did not have statistically significant difference in the incidence rate of ARP(P>0.05),while there were significant differences in the evaluation indicators of the rectal dose distribution(P<0.05).V40,V50,S40 and S50 proved to have low predictive values for grade Ⅰ-Ⅳ ARP with AUC 0.700(P<0.05);V60 and S60 had moderate predictive values for grade Ⅰ-Ⅳ ARP with AUC greater than 0.700 and less than or equal to 0.900(P<0.05);V70,V78,S70 and S7s showed high predictive values for grade Ⅰ-Ⅳ ARP with AUC higher than 0.900(P<0.05).Delong's test results indicated that DVH and DSH had no significant differences in AUC when used to predict gradeⅠ-Ⅳ ARP(allP>0.05).Conclusion DSH is essentially the same as DVH when used for the prediction of grade Ⅰ-Ⅳ ARP due to CCA IGRT,and thus can be used for the supplementation and optimization of radiotherapy planning systems.[Chinese Medical Equipment Journal,2025,46(3):48-53]

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