1.Contrast-enhanced ultrasound for diagnosing malignant adnexal tumors
Jun ZHANG ; Liwei HONG ; Sijie HONG ; Xiaohong ZHONG ; Shengli LI ; Maiguo HU ; Xiaoqin HE ; Yanqiu ZHONG ; Liping ZHONG
Chinese Journal of Interventional Imaging and Therapy 2025;22(8):534-538
Objective To observe the value of contrast-enhanced ultrasound(CEUS)for diagnosing malignant adnexal tumors.Methods Totally 112 patients with single adnexal masse were retrospectively enrolled and divided into benign adnexal tumor group(benign group,n=73)and malignant adnexal tumor group(malignant group,n=39).Clinical data,laboratory indicators,ovarian-adnexal ultrasound reporting and data system(O-RADS)classification based on conventional ultrasound(US),CEUS manifestations and CEUS classification of benign and malignant tumors were compared between groups.Multivariable logistic regression analysis of clinical and laboratory indicators being statistically different between groups,as well as US O-RADS classification and CEUS classification was performed to screen the independent predictors of malignant adnexal tumors,and combined models were constructed using forward stepwise regression method.The efficacy of each independent predictor and combined model for diagnosing malignant adnexal tumors was analyzed.Results Statistical differences of carbohydrate antigen 125(CA125),US O-RADS classification,enhancement time and level of CEUS,as well as CEUS classification were found between groups(all P<0.05).CA125,US O-RADS classification and CEUS classification were all independent predictors of malignant adnexal tumors(all P<0.05).Combined model Ⅰ,Ⅱ and Ⅲ were constructed based on CA125+CEUS classification,US O-RADS classification+CEUS classification and CA125+US O-RADS classification+CEUS classification,respectively.The area under the curve(AUC)of single CA125 level,US O-RADS classification,CEUS classification and combined model Ⅰ,Ⅱ and Ⅲ for diagnosing malignant adnexal tumor was 0.708,0.809,0.908,0.918,0.945 and 0.954,respectively.AUC of combined model Ⅲ was higher than that of combined model Ⅰ(Z=-2.142,P=0.032),while no significant difference of AUC was found between combined model Ⅱ and Ⅰ nor Ⅱ and Ⅲ(both P>0.05).Conclusion CEUS could be used to effectively diagnose malignant adnexal tumor.Combining with CA125 level and US O-RADS classification could significantly improve its diagnostic efficacy.
2.Advances in regulation of dysregulated bone remodeling by immune cells within rheumatoid arthritis synovial microenvironment
Jun-jie HE ; Zhong-liu YAO ; Ming-yue HU ; Hong HUANG ; Xiong CAI
Chinese Pharmacological Bulletin 2025;41(10):1801-1807
Rheumatoid arthritis(RA)is characterized by bidi-rectional bone remodeling imbalance,clinically termed the "high resorption-low formation" paradox,stemming not only from osteoclast hyperactivation but also critically involving pro-found suppression of osteoblast differentiation and function.No-tably,this suppression cannot be fully attributed to osteoclast hyperactivity;synovium-resident immune cells exert a pivotal regulatory influence through distinct mechanisms.This review systematically examines how synovial immune cells orchestrate bone remodeling in RA through both paracrine cytokine networks and direct cell-cell communication with bone lineage cells,thereby perturbing physiological homeostasis and driving patho-logical progression.These mechanistic revelations yield innova-tive perspectives on RA pathogenesis,positioning immune-medi-ated osteoimmune dysregulation as a promising therapeutic fron-tier for targeted intervention.
3.Correlation between the Post-Traumatic Stress Disorder Level and Postoperative Fear Disease Progression and Quality of Life in Patients Undergoing Laparoscopic Myomectomy
Jun-qing WANG ; Hong ZHONG ; Xiu-fang ZHANG
Progress in Modern Biomedicine 2025;25(13):2174-2180
Objective:To explore the correlation between the post-traumatic stress disorder(PTSD)level and postoperative fear disease progression and quality of life in patients undergoing laparoscopic myomectomy,and to analyze the related factors affecting the occurrence of PTSD in patients.Methods:120 patients who underwent laparoscopic myomectomy in Ruijin People's Hospital from April 2022 to April 2024 were selected,the PTSD occurrence was assessed with the Civilian version of PTSD checklist-civilian version(PCL-C)1 month after operation,and the progression of fear of Disease was assessed with the fear of progression questionnaire-short form(FoP-Q-SF),the quality of life was assessed with uterine fibroid symptoms and health-related quality of life questionnaire(UFS-QOL).The correlation between PTSD level and postoperative fear disease progression and quality of life in patients undergoing laparoscopic myomectomy was analyzed,and the factors of PTSD in patients undergoing laparoscopic myomectomy were analyzed by multivariate Logistic regression.Results:PTSD scores of in patients undergoing laparoscopic myomectomy was(36.93±5.69)score,fear of disease progression was(26.00±1.66)score,quality of life was(54.27±4.82)score.The total score of PCL-C was positively correlated with the total score of FoP-Q-SF,and negatively correlated with the total score of UFS-QOL(P<0.05).The patients were divided into PTSD group(n=30)and non-PTSD group(n=90)according to whether or not occurrence of PTSD at 1 month after operation.Univariate analysis showed that,there were significant differences in age,education level,family income,number of fibroids,operation time and preoperative anxiety level between the PTSD group and the non-PTSD group(P<0.05).Multivariate Logistic regression analysis showed that age ≥35 years old,operation time ≥90 min,preoperative anxiety level of moderate to severe,and increased total score of FoP-Q-SF were independent risk factors for PTSD in patients undergoing laparoscopic myomectomy(P<0.05),and increased total score of UFS-QOL were protective factors(P<0.05).Conclusion:The PTSD level in patients undergoing laparoscopic myomectomy is positively correlated with fear disease progression and negatively correlated with quality of life.Age,operation time,preoperative anxiety,fear disease progression and quality of life were the factors that influenced the occurrence of PTSD.
4.Correlation between the Post-Traumatic Stress Disorder Level and Postoperative Fear Disease Progression and Quality of Life in Patients Undergoing Laparoscopic Myomectomy
Jun-qing WANG ; Hong ZHONG ; Xiu-fang ZHANG
Progress in Modern Biomedicine 2025;25(13):2174-2180
Objective:To explore the correlation between the post-traumatic stress disorder(PTSD)level and postoperative fear disease progression and quality of life in patients undergoing laparoscopic myomectomy,and to analyze the related factors affecting the occurrence of PTSD in patients.Methods:120 patients who underwent laparoscopic myomectomy in Ruijin People's Hospital from April 2022 to April 2024 were selected,the PTSD occurrence was assessed with the Civilian version of PTSD checklist-civilian version(PCL-C)1 month after operation,and the progression of fear of Disease was assessed with the fear of progression questionnaire-short form(FoP-Q-SF),the quality of life was assessed with uterine fibroid symptoms and health-related quality of life questionnaire(UFS-QOL).The correlation between PTSD level and postoperative fear disease progression and quality of life in patients undergoing laparoscopic myomectomy was analyzed,and the factors of PTSD in patients undergoing laparoscopic myomectomy were analyzed by multivariate Logistic regression.Results:PTSD scores of in patients undergoing laparoscopic myomectomy was(36.93±5.69)score,fear of disease progression was(26.00±1.66)score,quality of life was(54.27±4.82)score.The total score of PCL-C was positively correlated with the total score of FoP-Q-SF,and negatively correlated with the total score of UFS-QOL(P<0.05).The patients were divided into PTSD group(n=30)and non-PTSD group(n=90)according to whether or not occurrence of PTSD at 1 month after operation.Univariate analysis showed that,there were significant differences in age,education level,family income,number of fibroids,operation time and preoperative anxiety level between the PTSD group and the non-PTSD group(P<0.05).Multivariate Logistic regression analysis showed that age ≥35 years old,operation time ≥90 min,preoperative anxiety level of moderate to severe,and increased total score of FoP-Q-SF were independent risk factors for PTSD in patients undergoing laparoscopic myomectomy(P<0.05),and increased total score of UFS-QOL were protective factors(P<0.05).Conclusion:The PTSD level in patients undergoing laparoscopic myomectomy is positively correlated with fear disease progression and negatively correlated with quality of life.Age,operation time,preoperative anxiety,fear disease progression and quality of life were the factors that influenced the occurrence of PTSD.
5.Contrast-enhanced ultrasound for diagnosing malignant adnexal tumors
Jun ZHANG ; Liwei HONG ; Sijie HONG ; Xiaohong ZHONG ; Shengli LI ; Maiguo HU ; Xiaoqin HE ; Yanqiu ZHONG ; Liping ZHONG
Chinese Journal of Interventional Imaging and Therapy 2025;22(8):534-538
Objective To observe the value of contrast-enhanced ultrasound(CEUS)for diagnosing malignant adnexal tumors.Methods Totally 112 patients with single adnexal masse were retrospectively enrolled and divided into benign adnexal tumor group(benign group,n=73)and malignant adnexal tumor group(malignant group,n=39).Clinical data,laboratory indicators,ovarian-adnexal ultrasound reporting and data system(O-RADS)classification based on conventional ultrasound(US),CEUS manifestations and CEUS classification of benign and malignant tumors were compared between groups.Multivariable logistic regression analysis of clinical and laboratory indicators being statistically different between groups,as well as US O-RADS classification and CEUS classification was performed to screen the independent predictors of malignant adnexal tumors,and combined models were constructed using forward stepwise regression method.The efficacy of each independent predictor and combined model for diagnosing malignant adnexal tumors was analyzed.Results Statistical differences of carbohydrate antigen 125(CA125),US O-RADS classification,enhancement time and level of CEUS,as well as CEUS classification were found between groups(all P<0.05).CA125,US O-RADS classification and CEUS classification were all independent predictors of malignant adnexal tumors(all P<0.05).Combined model Ⅰ,Ⅱ and Ⅲ were constructed based on CA125+CEUS classification,US O-RADS classification+CEUS classification and CA125+US O-RADS classification+CEUS classification,respectively.The area under the curve(AUC)of single CA125 level,US O-RADS classification,CEUS classification and combined model Ⅰ,Ⅱ and Ⅲ for diagnosing malignant adnexal tumor was 0.708,0.809,0.908,0.918,0.945 and 0.954,respectively.AUC of combined model Ⅲ was higher than that of combined model Ⅰ(Z=-2.142,P=0.032),while no significant difference of AUC was found between combined model Ⅱ and Ⅰ nor Ⅱ and Ⅲ(both P>0.05).Conclusion CEUS could be used to effectively diagnose malignant adnexal tumor.Combining with CA125 level and US O-RADS classification could significantly improve its diagnostic efficacy.
6.Advances in regulation of dysregulated bone remodeling by immune cells within rheumatoid arthritis synovial microenvironment
Jun-jie HE ; Zhong-liu YAO ; Ming-yue HU ; Hong HUANG ; Xiong CAI
Chinese Pharmacological Bulletin 2025;41(10):1801-1807
Rheumatoid arthritis(RA)is characterized by bidi-rectional bone remodeling imbalance,clinically termed the "high resorption-low formation" paradox,stemming not only from osteoclast hyperactivation but also critically involving pro-found suppression of osteoblast differentiation and function.No-tably,this suppression cannot be fully attributed to osteoclast hyperactivity;synovium-resident immune cells exert a pivotal regulatory influence through distinct mechanisms.This review systematically examines how synovial immune cells orchestrate bone remodeling in RA through both paracrine cytokine networks and direct cell-cell communication with bone lineage cells,thereby perturbing physiological homeostasis and driving patho-logical progression.These mechanistic revelations yield innova-tive perspectives on RA pathogenesis,positioning immune-medi-ated osteoimmune dysregulation as a promising therapeutic fron-tier for targeted intervention.
7.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
8.A Fitting Method for Photoacoustic Pump-probe Imaging Based on Phase Correction
Zhuo-Jun XIE ; Hong-Wen ZHONG ; Run-Xiang LIU ; Bo WANG ; Ping XUE ; Bin HE
Progress in Biochemistry and Biophysics 2025;52(2):525-532
ObjectivePhotoacoustic pump-probe imaging can effectively eliminate the interference of blood background signal in traditional photoacoustic imaging, and realize the imaging of weak phosphorescence molecules and their triplet lifetimes in deep tissues. However, background differential noise in photoacoustic pump-probe imaging often leads to large fitting results of phosphorescent molecule concentration and triplet lifetime. Therefore, this paper proposes a novel triplet lifetime fitting method for photoacoustic pump-probe imaging. By extracting the phase of the triplet differential signal and the background noise, the fitting bias caused by the background noise can be effectively corrected. MethodsThe advantages and feasibility of the proposed algorithm are verified by numerical simulation, phantom and in vivo experiments, respectively. ResultsIn the numerical simulation, under the condition of noise intensity being 10% of the signal amplitude, the new method can optimize the fitting deviation from 48.5% to about 5%, and has a higher exclusion coefficient (0.88>0.79), which greatly improves the fitting accuracy. The high specificity imaging ability of photoacoustic pump imaging for phosphorescent molecules has been demonstrated by phantom experiments. In vivo experiments have verified the feasibility of the new fitting method proposed in this paper for fitting phosphoometric lifetime to monitor oxygen partial pressure content during photodynamic therapy of tumors in nude mice. ConclusionThis work will play an important role in promoting the application of photoacoustic pump-probe imaging in biomedicine.
9.Expert consensus on the diagnosis and treatment of cemental tear.
Ye LIANG ; Hongrui LIU ; Chengjia XIE ; Yang YU ; Jinlong SHAO ; Chunxu LV ; Wenyan KANG ; Fuhua YAN ; Yaping PAN ; Faming CHEN ; Yan XU ; Zuomin WANG ; Yao SUN ; Ang LI ; Lili CHEN ; Qingxian LUAN ; Chuanjiang ZHAO ; Zhengguo CAO ; Yi LIU ; Jiang SUN ; Zhongchen SONG ; Lei ZHAO ; Li LIN ; Peihui DING ; Weilian SUN ; Jun WANG ; Jiang LIN ; Guangxun ZHU ; Qi ZHANG ; Lijun LUO ; Jiayin DENG ; Yihuai PAN ; Jin ZHAO ; Aimei SONG ; Hongmei GUO ; Jin ZHANG ; Pingping CUI ; Song GE ; Rui ZHANG ; Xiuyun REN ; Shengbin HUANG ; Xi WEI ; Lihong QIU ; Jing DENG ; Keqing PAN ; Dandan MA ; Hongyu ZHAO ; Dong CHEN ; Liangjun ZHONG ; Gang DING ; Wu CHEN ; Quanchen XU ; Xiaoyu SUN ; Lingqian DU ; Ling LI ; Yijia WANG ; Xiaoyuan LI ; Qiang CHEN ; Hui WANG ; Zheng ZHANG ; Mengmeng LIU ; Chengfei ZHANG ; Xuedong ZHOU ; Shaohua GE
International Journal of Oral Science 2025;17(1):61-61
Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans
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Dental Cementum/injuries*
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Consensus
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Diagnosis, Differential
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Cone-Beam Computed Tomography
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Tooth Fractures/therapy*
10.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

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