1.Increased CT Attenuation of Pericolic Adipose Tissue as a Noninvasive Marker of Disease Severity in Ulcerative Colitis
Jun LU ; Hui XU ; Jing ZHENG ; Tianxin CHENG ; Xinjun HAN ; Yuxin WANG ; Xuxu MENG ; Xiaoyang LI ; Jiahui JIANG ; Xue DONG ; Xijie ZHANG ; Zhenchang WANG ; Zhenghan YANG ; Lixue XU
Korean Journal of Radiology 2025;26(5):411-421
Objective:
Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity.
Materials and Methods:
This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC).
Results:
The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85.
Conclusion
Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.
2.Increased CT Attenuation of Pericolic Adipose Tissue as a Noninvasive Marker of Disease Severity in Ulcerative Colitis
Jun LU ; Hui XU ; Jing ZHENG ; Tianxin CHENG ; Xinjun HAN ; Yuxin WANG ; Xuxu MENG ; Xiaoyang LI ; Jiahui JIANG ; Xue DONG ; Xijie ZHANG ; Zhenchang WANG ; Zhenghan YANG ; Lixue XU
Korean Journal of Radiology 2025;26(5):411-421
Objective:
Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity.
Materials and Methods:
This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC).
Results:
The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85.
Conclusion
Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.
3.Increased CT Attenuation of Pericolic Adipose Tissue as a Noninvasive Marker of Disease Severity in Ulcerative Colitis
Jun LU ; Hui XU ; Jing ZHENG ; Tianxin CHENG ; Xinjun HAN ; Yuxin WANG ; Xuxu MENG ; Xiaoyang LI ; Jiahui JIANG ; Xue DONG ; Xijie ZHANG ; Zhenchang WANG ; Zhenghan YANG ; Lixue XU
Korean Journal of Radiology 2025;26(5):411-421
Objective:
Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity.
Materials and Methods:
This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC).
Results:
The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85.
Conclusion
Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.
4.Increased CT Attenuation of Pericolic Adipose Tissue as a Noninvasive Marker of Disease Severity in Ulcerative Colitis
Jun LU ; Hui XU ; Jing ZHENG ; Tianxin CHENG ; Xinjun HAN ; Yuxin WANG ; Xuxu MENG ; Xiaoyang LI ; Jiahui JIANG ; Xue DONG ; Xijie ZHANG ; Zhenchang WANG ; Zhenghan YANG ; Lixue XU
Korean Journal of Radiology 2025;26(5):411-421
Objective:
Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity.
Materials and Methods:
This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC).
Results:
The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85.
Conclusion
Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.
5.Increased CT Attenuation of Pericolic Adipose Tissue as a Noninvasive Marker of Disease Severity in Ulcerative Colitis
Jun LU ; Hui XU ; Jing ZHENG ; Tianxin CHENG ; Xinjun HAN ; Yuxin WANG ; Xuxu MENG ; Xiaoyang LI ; Jiahui JIANG ; Xue DONG ; Xijie ZHANG ; Zhenchang WANG ; Zhenghan YANG ; Lixue XU
Korean Journal of Radiology 2025;26(5):411-421
Objective:
Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity.
Materials and Methods:
This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC).
Results:
The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85.
Conclusion
Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.
6.Emergency medical response strategy for the 2025 Dingri, Tibet Earthquake
Chenggong HU ; Xiaoyang DONG ; Hai HU ; Hui YAN ; Yaowen JIANG ; Qian HE ; Chang ZOU ; Si ZHANG ; Wei DONG ; Yan LIU ; Huanhuan ZHONG ; Ji DE ; Duoji MIMA ; Jin YANG ; Qiongda DAWA ; Lü ; JI ; La ZHA ; Qiongda JIBA ; Lunxu LIU ; Lei CHEN ; Dong WU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(04):421-426
This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.
7.Effects and mechanism of Kiwi fruit essence on pulmonary fibrosis in rats
Hui-Ting CHEN ; Ning-Ning WEI ; Xiao-Jun DONG ; Min-Jiang HUANG
The Chinese Journal of Clinical Pharmacology 2024;40(3):393-397
Objective To observe the effects of different doses of Kiwi fruit essence on fibroblast growth factor 2(FGF2)and extracellular regulatory protein kinase 1/2(ERK1/2)in lung tissue of rats with pulmonary fibrosis.Methods SD rats were divided into blank control group(0.9%NaCl),model group(0.9%NaCl),positive control group(5 mg·kg-1 prednesone acetate),experimental group-L,-M,-H(60,120,180 mg·kg-1 Kiwi fruit essence),except the blank control group was injected with 0.9%NaCl at one time.The other groups were injected 5 mg·kg-1 bleomycin A5 into the trachea to construct the rat pulmonary fibrosis model.The expressions of FGF2 and ERK1/2 proteins and mRNA were detected by Western blot and real-time fluorescence quantitative polymerase chain reaction.Results The relative expression levels of FGF2 protein in blank control group,model group,positive control group and experimental group-L,-M,-H groups on the day 28 were 0.07±0.01,0.63±0.15,0.14±0.02,0.16±0.01,0.26±0.02 and 0.44±0.03,respectively;the relative expression levels of ERK1/2 protein on day 28 were 0.06±0.00,0.41±0.05,0.09±0.00,0.10±0.00,0.14±0.02,0.21±0.02,respectively;the relative expression levels of FGF2 mRNA on day 28 were 0.98±0.05,9.32±1.03,2.21±0.32,2.87±0.44,5.32±0.21,6.37±0.66,respectively;the relative expression levels of ERK1/2 mRNA on day 28 were 1.00±0.01,9.22±0.85,1.93±0.63,2.36±0.54,5.34±0.44 and 6.85±1.09,respectively.The above indexes in the model group were significantly different from those in the blank control group(all P<0.05).The above indexes in the positive control group and the experimental-L,-M,-H groups were significantly different from those in the model group(all P<0.05).Conclusion Kiwi essence may inhibit pulmonary fibrosis by regulating the expression of FGF2 and ERK1/2.
8.Interactions between gut microbiota-producing enzymes and natural drugs affect disease progression
Zhi-yu WANG ; Hao-ran SHEN ; Yan-xing HAN ; Jian-dong JIANG ; Wei JIANG ; Hui-hui GUO
Acta Pharmaceutica Sinica 2024;59(8):2183-2191
Naturally derived metabolites are valuable resources for drug research and development, and play an important role in the treatment of diseases. As the "second genome" of the body, gut microbiota is rich in metabolic enzymes, which interacts with external substances such as drugs, thus affecting the progression of diseases. This article summarizes the interaction between gut microbiota-producing enzymes and natural medicines, and focuses on the impact of this interaction on disease progression, hoping to provide new ideas for the development and pharmacological mechanism of natural medicines.
9.Differentiation and Treatment of Essential Hypertension from the Perspective of Qi and Blood Disharmony
Hui XU ; Bin CHENG ; Nan JIANG ; Xiaofen HOU ; Changwu DONG
Journal of Traditional Chinese Medicine 2024;65(20):2155-2158
It is believed that qi and blood disharmony is the key pathogenesis of essential hypertension, for which mildly regulating qi and blood is recommended. According to the different pathological states and related causes of qi and blood disorders, essential hypertension can be divided into five syndrome types for differentiation and treatment. In terms of blood deficiency and liver constraint, it is recommended to nourish the blood and soften the liver, rectify qi to resolve constraint, using Xiao Yao Powder (逍遥散) or self-made Qihua Jieyu Decoction (七花解郁汤). For qi stagnation and blood stasis, the method of regulating qi and harmonizing blood, dissolving stasis and unblocking collaterals should be used, with self-made Guitao Tongluo Decoction (桂桃通络汤). For phlegm-dampness internal obstruction, it is recommended to move qi and promote urination, dissolve phlegm and eliminate dampness, using self-made Zhuanqi Sanzhuo Formula (转气散浊方). For binding of phlegm and stasis, dissolving phlegm and dispelling stasis, dredging the bowels and directing the turbid downward is advised, and self-made Sanren Tiaozhi Formula (三仁调脂方) can be used. In terms of deficiency of both qi and blood, it is recommended to boost qi and nourish blood, supplement deficiency and consolidate the root, using Gui Pi Decoction (归脾汤) or self-made Shenqi Zaizao Decoction (参芪再造汤).
10.A Bibliometric and Visual Analysis of the Current Status and Trends of Foren-sic Mixed Stain Research
Qing-Wei FAN ; Ling LI ; Hui-Ling YANG ; Ting-Ting DENG ; Dong-Dong XU ; Yun WANG ; Bing DU ; Jiang-Wei YAN
Journal of Forensic Medicine 2024;40(1):20-29
Objective To explore the context and hotspot changes of forensic mixed stain research through bibliometric approach.Methods The literature of forensic mixed stain included in the core col-lection of Web of Science database from 2011 to 2022 were collected as the study object,and the an-nual publication number,countrie(region),institution,journal,keywords,etc.were bibliometrically and visually analyzed using the R-based Bibliometrix 1.1.6 package and VOSviewer 1.6.18 software.Re-sults A total of 732 articles on forensic mixed stain were included from 2011 to 2022,with the an-nual number of articles published and the annual citation frequency showing a steady increase year by year.Among the 59 countries(regions)with the most published articles,the United States ranked first with 246 articles,followed by China with 153 articles.The literature came from 104 journals,and the total number of articles published in the top 10 journals was 633.FORENSIC SCI INT GENET ranked first with 307 articles.Visual analysis using VOSviewer software showed that keywords could be divided into four research clusters,namely the genetic marker development group(blue),the mixed stain typing analysis theory group(red),the sequencing analysis group(yellow),and the case sample research group(green).It can be divided into four development stages in terms of different time peri-ods:early development(2011-2013),middle development(2014-2016),rapid development(2017-2020)and latest development(2021-2022).Conclusion The number of publications by domestic and foreign scholars in the study of mixed stain in forensic science is showing a relatively stable trend.Machine learning,next generation sequencing and other research have been the hottest topics that have attracted the most attention in recent years,which is expected to further develop the theory of mixed stain typing and sequencing analysis in forensic mixed stain research.

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