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.

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.

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.

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.

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.

Cibotii Rhizoma has a long history of folk usage and clinical applications,which is commonly used to treat symptoms such as waist and knee soreness,numbness of hands and feet.Its chemical components mainly include sugars and glycosides,aromatics,volatile oils,pterosins,flavonoids,steroids,pyranones,amino acids and inorganic elements.Pharmacological studies have shown that Cibotii Rhizoma has antioxidant,anti-inflammatory,anti-osteoporosis,gastrointestinal protection,antibacterial,liver protection,anticancer,analgesic and other effects.This paper systematically reviews the research status of chemical constituents,pharmacological effects and quality control of Cibotii Rhizoma,which provides reference for the development and rational use of Cibotii Rhizoma.

Objective To optimize the extraction process of total phenolic acids from Cibotii rhizoma using Box-Behnken design-response surface methodology and evaluate antioxidant activity of total phenolic acid in vitro.Methods Taking the liquid-solid ratio,ethanol concentration and extraction temperature as influencing factors,and the extraction rate of total phenolic acids as evaluation indicator,the extraction process of total phenolic acids from Cibotii rhizoma was optimized using a three-factor and three-level Box-Behnken design-response surface methodology on the basis of single factor tests.Meanwhile,the scavenging effects of total phenolic acid extract from Cibotii rhizoma on ABTS·+and DPPH· was determined.Results The optimized extraction process for total phenolic acids from Cibotii rhizoma was as follows:the ethanol concentration of 55％,the extraction temperature of 88℃ and the liquid-solid ratio of 60∶1 mL/g.Under these conditions,the extraction rate could reach 8.67％.When the mass concentration of total phenolic acids extract were 2 mg/mL and 1 mg/mL,the clearance rates of ABTS·+and DPPH·were 92.76％and 88.66％,respectively.Conclusion The theoretical values obtained from the response surface optimization method are consistent with the actual measured values,and the extraction process of total phenolic acids from Cibotii rhizoma was simple and feasible.The total phenolic acids extract from Cibotii rhizoma exhibit strong antioxidant activity in vitro.

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

In order to further promote and achieve the modernization of traditional Chinese medicine,it is particularly important to establish a quality control system of traditional Chinese medicine which not only respects the theory of traditional Chinese medicine but also conforms to the development of the times.Since ancient times,the appearance character of traditional Chinese medicine,such as color,gas and taste,is one of the important criteria to distinguish its authenticity and quality.At present,the research on the appearance of traditional Chinese medicine has gradually shifted from subjective"evaluation of quality from appearance traits"to artificial intelligence sensory technology which can provide objective data support.According to the different simulated senses,intelligent sensory technology can be divided into electronic eyes,electronic nose,electronic tongue,electronic ear and electronic skin.This paper combs the principles of five kinds of artificial intelligence sensory technology and their application in the quality evaluation of traditional Chinese medicine,introduces the research status and future development trend of the quality control system of traditional Chinese medicine based on intelligent sense,in order to provide a reference for the upgrade and modern development of the quality control system of traditional Chinese medicine.

Objective To explore the diagnostic value of deep medullary vein (DMV) score for cognitive impairment in patients with cerebral small vessel disease (CSVD).Methods Collect clinical and imaging data of 108 patients who visited Lishui Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University from May 2022 to December 2023.According to the mini-mental state examination,patients were divided into a cognitive impairment group (36 cases) and a cognitive function normal group (72 cases).On magnetic sensitive images,the DMV scores of the six regions on both sides of the frontal lobe,parietal lobe,occipital lobe are rated from 0 to 3 points based on their visual conditions,and the total scores of the six regions is the DMV score (0 to 18 points).Applying international CSVD guidelines to assess CSVD burden in patients.Analyze the correlation between DMV score and cognitive impairment,and compare the diagnostic value of DMV scores and CSVD score for cognitive impairment.Results The median CSVD burden score of 108 patients was 1 (0,2) points,and the median DMV score was 4 (1,9) points.The DMV score was positively correlated with the presence of cognitive impairment (r=0.525,P<0.001).There were statistically significant differences in age,cerebral microbleeds,perivascular space enlargement,white matter hyperintensities,CSVD burden,and DMV score between the cognitive impairment group and the cognitive function normal group (P<0.05).The area under the receiver operating characteristic curve of diagnosed with cognitive impairment using DMV score was 0.820 (95％CI:0.741-0.898,P<0.001).Conclusion DMV score is positively correlated with CSVD cognitive impairment,and it has certain predictive value for cognitive impairment.