1.Application of Deep Learning-Based Image Reconstruction Technology in 5.0T MRI for Nasopharyngeal Carcinoma
Penghui ZHOU ; Haibin LIU ; Hai LIN ; Ziming YU ; Guixiao XU ; Haoqiang HE ; Chuanmiao XIE
Chinese Journal of Medical Imaging 2025;33(7):694-699
Purpose To explore the feasibility and clinical value of deep learning-based image reconstruction technology in 5.0T MRI for nasopharyngeal carcinoma.Materials and Methods A prospective study was conducted on 50 newly diagnosed nasopharyngeal carcinoma patients from August to December 2024 at Sun Yat-sen University Cancer Center.5.0T MRI was performed to scan the nasopharynx region.Routine scanning protocols included transverse T2WI,transverse T1WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI sequences.Based on these standard scanning protocols,DeepRecon deep learning reconstruction technology with different levels(grade 1-5)was applied,generating a total of 24 sets of images.Qualitative evaluation employed a Likert scale(5-point system)for subjective scoring on lesion detection,lesion edge clarity,artifacts and overall image quality.Quantitative evaluation was performed using the signal-to-noise ratio and contrast-to-noise ratio to objectively assess the quality of the 24 image sets.Differences in qualitative and quantitative indicators between different groups were compared,while the Kappa coefficient was used to analyze the consistency of subjective evaluations by two radiologists.Results In the qualitative assessment of 24 image sets from four MRI sequences(with and without DeepRecon reconstruction),DeepRecon images(grade 2-4)significantly outperformed traditional images in all features except for artifact reduction(Z=-12.11--6.23,all P<0.001).Images reconstructed at DeepRecon grade 3 had the highest overall score and the best image quality.Furthermore,compared with traditional images,DeepRecon images(grade 2-5)demonstrated significantly improved signal-to-noise ratio for both lesions and the lateral pterygoid muscle(t=-15.67--3.44,Z=-6.09--4.63,all P<0.01).In addition,in the transverse T2WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI images with DeepRecon reconstruction(grade 2-5),the contrast-to-noise ratio(lesion/lateral pterygoid muscle)also showed significant improvement compared to traditional images(t=-12.71--3.19,Z=-6.08--4.47,all P<0.001).The inter-observer agreement for the overall subjective quality score between the two radiologists was good(Kappa=0.75-0.82,all P<0.01).Conclusion DeepRecon deep learning reconstruction technology significantly increases the signal-to-noise ratio and resolution of traditional magnetic resonance images of nasopharyngeal cancer,improving image clarity and bringing more possibilities for the advancement of imaging diagnosis.
2.Application of Deep Learning-Based Image Reconstruction Technology in 5.0T MRI for Nasopharyngeal Carcinoma
Penghui ZHOU ; Haibin LIU ; Hai LIN ; Ziming YU ; Guixiao XU ; Haoqiang HE ; Chuanmiao XIE
Chinese Journal of Medical Imaging 2025;33(7):694-699
Purpose To explore the feasibility and clinical value of deep learning-based image reconstruction technology in 5.0T MRI for nasopharyngeal carcinoma.Materials and Methods A prospective study was conducted on 50 newly diagnosed nasopharyngeal carcinoma patients from August to December 2024 at Sun Yat-sen University Cancer Center.5.0T MRI was performed to scan the nasopharynx region.Routine scanning protocols included transverse T2WI,transverse T1WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI sequences.Based on these standard scanning protocols,DeepRecon deep learning reconstruction technology with different levels(grade 1-5)was applied,generating a total of 24 sets of images.Qualitative evaluation employed a Likert scale(5-point system)for subjective scoring on lesion detection,lesion edge clarity,artifacts and overall image quality.Quantitative evaluation was performed using the signal-to-noise ratio and contrast-to-noise ratio to objectively assess the quality of the 24 image sets.Differences in qualitative and quantitative indicators between different groups were compared,while the Kappa coefficient was used to analyze the consistency of subjective evaluations by two radiologists.Results In the qualitative assessment of 24 image sets from four MRI sequences(with and without DeepRecon reconstruction),DeepRecon images(grade 2-4)significantly outperformed traditional images in all features except for artifact reduction(Z=-12.11--6.23,all P<0.001).Images reconstructed at DeepRecon grade 3 had the highest overall score and the best image quality.Furthermore,compared with traditional images,DeepRecon images(grade 2-5)demonstrated significantly improved signal-to-noise ratio for both lesions and the lateral pterygoid muscle(t=-15.67--3.44,Z=-6.09--4.63,all P<0.01).In addition,in the transverse T2WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI images with DeepRecon reconstruction(grade 2-5),the contrast-to-noise ratio(lesion/lateral pterygoid muscle)also showed significant improvement compared to traditional images(t=-12.71--3.19,Z=-6.08--4.47,all P<0.001).The inter-observer agreement for the overall subjective quality score between the two radiologists was good(Kappa=0.75-0.82,all P<0.01).Conclusion DeepRecon deep learning reconstruction technology significantly increases the signal-to-noise ratio and resolution of traditional magnetic resonance images of nasopharyngeal cancer,improving image clarity and bringing more possibilities for the advancement of imaging diagnosis.
3.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
4.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
5.Therapeutic mechanism of Shenbing Decoction Ⅲ for renal fibrosis in chronic kidney disease: a study with network pharmacology, molecular docking and validation in rats.
Guanfeng LUO ; Huaxi LIU ; Bei XIE ; Yijian DENG ; Penghui XIE ; Xiaoshan ZHAO ; Xiaomin SUN
Journal of Southern Medical University 2023;43(6):924-934
OBJECTIVE:
To observe the effect of Shenbing Decoction Ⅲ for improving renal function and pathology in rats with 5/6 nephrectomy and analyze its therapeutic mechanism for renal fibrosis in chronic kidney disease using network pharmacology combined with molecular docking.
METHODS:
Forty male SD rats were randomized into two groups to receive two-staged 5/6 nephrectomy (n=30) or sham operation (n=10), and 2 weeks after the final operation, serum creatinine level of the rats was measured. The rats with nephrectomy were further randomized into Shenbing Decoction Ⅲ group, losartan group and model group for daily treatment with the corresponding drugs via gavage starting at 1 week after 5/6 nephrectomy. After 16 weeks of treatment, serum creatinine and urea nitrogen levels of the rats were measured, and HE staining and Western blotting were used to examine the changes in renal pathology and fibrosis-related factors. Network pharmacology combined with molecular docking study was performed to explore the therapeutic mechanism Shenbing Decoction Ⅲ against renal fibrosis in chronic kidney disease, and Western blotting was used to verify the expressions of the core targets.
RESULTS:
Compared with those in the model group, the rats receiving 5/6 nephrectomy and Shenbing Decoction Ⅲ treatment showed significantly reduced serum creatinine and urea nitrogen levels, lessened renal pathologies, and improvement of the changes in epithelial mesenchymal transition-related proteins. Network pharmacological analysis showed that the main active ingredients of Shenbing Decoction Ⅲ were acacetin, apigenin, eupatilin, quercetin, kaempferol and luteolin, and the key targets included STAT3, SRC, CTNNB1, PIK3R1 and AKT1. Molecular docking study revealed that the active ingredients of Shenbing Decoction Ⅲ had good binding activity to the key targets. Western blotting showed that in rats with 5/6 nephrectomy, treatment with Shenbing Decoction Ⅲ obviously restored the protein expression of STAT3, PI3K, and AKT in renal tissue.
CONCLUSION
Shenbing Decoction Ⅲ can reduce renal injury induced by 5/6 nephrectomy in rats, and its therapeutic effects are mediated possibly by its main pharmacologically active ingredients that alleviate renal fibrosis via modulating multiple targets including STAT3, PIK3R1, and AKT1.
Male
;
Animals
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Rats
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Rats, Sprague-Dawley
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Molecular Docking Simulation
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Network Pharmacology
;
Creatinine
;
Renal Insufficiency, Chronic/drug therapy*
;
Fibrosis
;
Urea
6.SWI/SNF Complex Gene Mutations Promote the Liver Metastasis of Non-small Cell Lung Cancer Cells in NSI Mice.
Lingling GAO ; Zhi XIE ; Shouheng LIN ; Zhiyi LV ; Wenbin ZHOU ; Ji CHEN ; Linlin ZHU ; Li ZHANG ; Penghui ZENG ; Xiaodan HUANG ; Wenqing YAN ; Yu CHEN ; Danxia LU ; Shuilian ZHANG ; Weibang GUO ; Peng LI ; Xuchao ZHANG
Chinese Journal of Lung Cancer 2023;26(10):753-764
BACKGROUND:
The switch/sucrose nonfermentable chromatin-remodeling (SWI/SNF) complex is a pivotal chromatin remodeling complex, and the genomic alterations (GAs) of the SWI/SNF complex are observed in several cancer types, correlating with multiple biological features of tumor cells. However, their role in liver metastasis of non-small cell lung cancer (NSCLC) remains unclear. Our study aims to investigate the role and potential mechanisms underlying NSCLC liver metastasis induced by the GAs of SWI/SNF complex.
METHODS:
The GAs of SWI/SNF complex in NSCLC cell lines (H1299, H23 and H460) were identified by whole-exome sequencing (WES). ARID1A knockout H1299 cell was constructed with the CRISPR/Cas9 technology. The mouse model of liver metastasis from NSCLC was established to simulate lung cancer liver metastasis and observe the metastasis rate under different gene mutation conditions. RNA sequencing and Western blot were conducted for differential gene expression analysis. Immunohistochemistry (IHC) analysis was used to assess protein expression levels of SWI/SNF-regulated target molecules in mouse liver metastases.
RESULTS:
WES analysis revealed intracellular gene mutations. The animal experiments demonstrated a correlation between the GAs of SWI/SNF complex and a higher liver metastasis rate in immunodeficient mice. Transcriptome sequencing and Western blot analysis showed upregulated expression of ALDH1A1 and APOBEC3B in SWI/SNF-mut cells, particularly in ARID1A-deficient H460 and H1299 sgARID1A cells. IHC staining of mouse liver metastases further demonstrated elevated expression of ALDH1A1 in the H460 and H1299 sgARID1A group.
CONCLUSIONS
This study underscores the critical role of the GAs of SWI/SNF complex, such as ARID1A and SMARCA4, in promoting liver metastasis of lung cancer cells. The GAs of SWI/SNF complex may promote liver-specific metastasis by upregulating ALDH1A1 and APOBEC3B expression, providing novel insights into the molecular mechanisms underlying lung cancer liver metastasis.
Animals
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Mice
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Carcinoma, Non-Small-Cell Lung/genetics*
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Lung Neoplasms/genetics*
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Mutation
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Liver Neoplasms/genetics*
7.Fixation with a retrograde pubic ramus intramedullary nail for anterior pelvic ring fractures
Enzhi YIN ; Yangxing LUO ; Xuefeng YUAN ; Li HE ; Meiqi GU ; Jie XIE ; Song GONG ; Zhen WANG ; Zhe XU ; Penghui XIANG ; Ruixiang CHENG ; Chengla YI
Chinese Journal of Orthopaedic Trauma 2023;25(6):491-497
Objective:To explore the clinical efficacy of a retrograde pubic ramus intramedullary nail (RPRIN) in the treatment of anterior pelvic ring fractures.Methods:A retrospective study was conducted to analyze the 14 patients with anterior pelvic ring fracture who had been treated and followed up at Department of Traumatic Surgery, Tongji Hospital From June 2020 to February 2021. There were 10 males and 4 females with an age of (44.8±12.5) years. By the AO/OTA classification for pelvic fractures, 5 cases were type 61-A, 4 cases 61-B, and 5 cases type 61-C; by the Nakatani classification, 1 case belonged to unilateral zone Ⅰ fracture, 5 cases to unilateral zone Ⅱ fracture, 2 cases to unilateral zone Ⅲ fracture, 3 cases to right zone Ⅱ and left zone Ⅲ fracture, 2 cases to zone Ⅲ fracture on both left and right sides, and 1 case to zone Ⅱ fracture on both sides. The time from injury to operation was (7.8±1.8) days. All the anterior pelvic ring fractures were fixated with a RPRIN. The time and fluoroscopic frequency for placement of every single RPRIN, quality of fracture reduction, and pelvic function and incidence of postoperative complications at the last follow-up were recorded.Results:A total of 18 RPRINs were placed in the 14 patients. For placement of each RPRIN, the time was (35.9±8.6) min, and the fluoroscopic frequency (22.8±1.9) times. No complications such as infection occurred at any surgical incision after RPRIN placement. According to the Matta scoring, the quality of postoperative fracture reduction was assessed as excellent in 7 cases, as good in 5 cases and as fair in 2 cases. The 14 patients were followed up for (18.1+1.5) months. Their X-ray and CT images of the pelvis at the last follow-up showed that the fractures healed well and the intramedullary nails were placed in the cortical bone of the anterior ring of the pelvis. According to the Majeed scoring at the last follow-up, the pelvic function was assessed as excellent in 10 cases, as good in 3 cases and as fair in 1 case. One patient reported discomfort during squatting 2 months after operation but the symptom improved 3 months later without any special treatment. No patient experienced such complications as displacement or slippage of RPRIN, or pain at the insertion site.Conclusion:RPRIN is effective in the treatment of anterior pelvic ring fractures, showing advantages of small surgical incision, limited intraoperative fluoroscopy and short operation time.
8.Eligibility of C-BIOPRED severe asthma cohort for type-2 biologic therapies.
Zhenan DENG ; Meiling JIN ; Changxing OU ; Wei JIANG ; Jianping ZHAO ; Xiaoxia LIU ; Shenghua SUN ; Huaping TANG ; Bei HE ; Shaoxi CAI ; Ping CHEN ; Penghui WU ; Yujing LIU ; Jian KANG ; Yunhui ZHANG ; Mao HUANG ; Jinfu XU ; Kewu HUANG ; Qiang LI ; Xiangyan ZHANG ; Xiuhua FU ; Changzheng WANG ; Huahao SHEN ; Lei ZHU ; Guochao SHI ; Zhongmin QIU ; Zhongguang WEN ; Xiaoyang WEI ; Wei GU ; Chunhua WEI ; Guangfa WANG ; Ping CHEN ; Lixin XIE ; Jiangtao LIN ; Yuling TANG ; Zhihai HAN ; Kian Fan CHUNG ; Qingling ZHANG ; Nanshan ZHONG
Chinese Medical Journal 2023;136(2):230-232
9.Cervical endometriosis with adenomyosis: a case report and literature review
Shunhe LIN ; Penghui HUANG ; Yuyan GUO ; Chaobin LIU ; Zhenhong WANG ; Xi XIE
Chinese Journal of Reproduction and Contraception 2021;41(12):1129-1133
Objective:To discuss the pathogenesis, clinical manifestations, diagnosis and treatment of cervical endometriosis with adenomyosis.Methods:The clinical data, diagnosis and treatment of the deep cervical endometriosis patient with adenomyosis who was collected in Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University in May 2020 were analyzed, and the related literatures were reviewed systematically.Results:The patient had no obvious clinical symptoms. Cervical endometriosis cyst was of deep type. Laparoscopic hysterectomy was performed and the prognosis was good.Conclusion:The pathogenesis of cervical endometriosis is not clear, the lack of specific clinical manifestations, treatment methods have not formed a consensus. Hysterectomy may be considered for patients with deep type if no fertility requirement or other uterine lesions are present.
10.Cervical endometriosis with adenomyosis: a case report and literature review
Shunhe LIN ; Penghui HUANG ; Yuyan GUO ; Chaobin LIU ; Zhenhong WANG ; Xi XIE
Chinese Journal of Reproduction and Contraception 2021;41(12):1129-1133
Objective:To discuss the pathogenesis, clinical manifestations, diagnosis and treatment of cervical endometriosis with adenomyosis.Methods:The clinical data, diagnosis and treatment of the deep cervical endometriosis patient with adenomyosis who was collected in Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University in May 2020 were analyzed, and the related literatures were reviewed systematically.Results:The patient had no obvious clinical symptoms. Cervical endometriosis cyst was of deep type. Laparoscopic hysterectomy was performed and the prognosis was good.Conclusion:The pathogenesis of cervical endometriosis is not clear, the lack of specific clinical manifestations, treatment methods have not formed a consensus. Hysterectomy may be considered for patients with deep type if no fertility requirement or other uterine lesions are present.

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