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.

Objective:To understand the relevant situation of people seeking tattoo removal in laser cosmetic clinics.Methods:A face-to-face questionnaire survey was conducted among respondents seeking tattoo removal who visited the Laser Cosmetic Clinic of the Provincial Hospital Affiliated to Shandong First Medical University from June 2021 to May 2022. The questionnaire survey content included 4 categories and a total of 30 questions: basic information of the tattoo respondents, tattoo-related situations, respondents’ cognition of tattoos, and tattoo removal needs. The questionnaire responses were statistically analyzed, and differences were analyzed according to the gender, age of the tattoo respondents, and educational level at the time of tattooing. Descriptive statistical analysis was conducted on the general information of the questionnaire; Mantel-Haenszel chi-square test or Pearson’s chi-squared test were used for the analysis of the difference in the composition ratio of each data.Results:A total of 150 questionnaires were distributed and 142 valid questionnaires were collected. There were 81 male and 61 female tattoo respondents, with an age of (21.8±4.9) years (13-41 years). The result of the survey showed that 52.8%(75/142) of the respondents were minors (<18 years old) at the time of tattooing, and 97.2%(138/142) were <24 years old at the time of tattooing; 67.6% (96/142) regretted the act of tattooing; 73.2%(104/142) of the respondents themselves asked for the removal of tattoos; who removed their tattoos for personal development (joining the army, working, studying) was 68.3%(97/142); only 23.2%(33/142) of the respondents understood the harms of tattoos; and 21.8%(31/142) of the respondents suffered from adverse reactions after getting tattoos. The percentage of respondents who hid their tattoos from their family members was 82.4%(117/142); the percentage of respondents whose family members approved of the tattoos was only 25.4%(36/142). Analysis of variance showed that there was no correlation between the education level of the respondents and their knowledge of the tattoo risks( P>0.05); the reasons for removing tattoos were correlated with the age and gender of the respondents at the time of consultation ( P<0.01); the size of tattoos was correlated with the gender of the respondents ( P<0.01) and the female respondents were more inclined to choose a small tattoo; the age of tattooing of the respondents was correlated with the level of education of the respondents when they had tattooed themselves ( P<0.01), the proportion of tattoos aged <18 years old was highest among respondents with junior high school education at the time of tattooing [76.2%(32/42)], and this proportion tended to decrease significantly as the education level at the time of tattooing increased. Conclusion:The respondents seeking tattoo removal in the laser cosmetic clinic are mainly teenagers. About half of the respondents were minors at the time of tattooing, and most of them were not aware of the tattoo risks. There is a certain correlation between the age of the respondents and their educational background at the time of tattooing. There are certain differences in the reasons for removing tattoos among respondents depending on gender and age. There is no correlation between the educational background of the respondents and their understanding of the tattoo risks.

Objective:To understand the relevant situation of people seeking tattoo removal in laser cosmetic clinics.Methods:A face-to-face questionnaire survey was conducted among respondents seeking tattoo removal who visited the Laser Cosmetic Clinic of the Provincial Hospital Affiliated to Shandong First Medical University from June 2021 to May 2022. The questionnaire survey content included 4 categories and a total of 30 questions: basic information of the tattoo respondents, tattoo-related situations, respondents’ cognition of tattoos, and tattoo removal needs. The questionnaire responses were statistically analyzed, and differences were analyzed according to the gender, age of the tattoo respondents, and educational level at the time of tattooing. Descriptive statistical analysis was conducted on the general information of the questionnaire; Mantel-Haenszel chi-square test or Pearson’s chi-squared test were used for the analysis of the difference in the composition ratio of each data.Results:A total of 150 questionnaires were distributed and 142 valid questionnaires were collected. There were 81 male and 61 female tattoo respondents, with an age of (21.8±4.9) years (13-41 years). The result of the survey showed that 52.8%(75/142) of the respondents were minors (<18 years old) at the time of tattooing, and 97.2%(138/142) were <24 years old at the time of tattooing; 67.6% (96/142) regretted the act of tattooing; 73.2%(104/142) of the respondents themselves asked for the removal of tattoos; who removed their tattoos for personal development (joining the army, working, studying) was 68.3%(97/142); only 23.2%(33/142) of the respondents understood the harms of tattoos; and 21.8%(31/142) of the respondents suffered from adverse reactions after getting tattoos. The percentage of respondents who hid their tattoos from their family members was 82.4%(117/142); the percentage of respondents whose family members approved of the tattoos was only 25.4%(36/142). Analysis of variance showed that there was no correlation between the education level of the respondents and their knowledge of the tattoo risks( P>0.05); the reasons for removing tattoos were correlated with the age and gender of the respondents at the time of consultation ( P<0.01); the size of tattoos was correlated with the gender of the respondents ( P<0.01) and the female respondents were more inclined to choose a small tattoo; the age of tattooing of the respondents was correlated with the level of education of the respondents when they had tattooed themselves ( P<0.01), the proportion of tattoos aged <18 years old was highest among respondents with junior high school education at the time of tattooing [76.2%(32/42)], and this proportion tended to decrease significantly as the education level at the time of tattooing increased. Conclusion:The respondents seeking tattoo removal in the laser cosmetic clinic are mainly teenagers. About half of the respondents were minors at the time of tattooing, and most of them were not aware of the tattoo risks. There is a certain correlation between the age of the respondents and their educational background at the time of tattooing. There are certain differences in the reasons for removing tattoos among respondents depending on gender and age. There is no correlation between the educational background of the respondents and their understanding of the tattoo risks.

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.

Objective To construct and validate a risk prediction model for delayed healing of venous leg ulcer(VLU),so as to provide a reference basis for early identification of people at high risk of delayed healing.Methods Using a convenience sampling method,331 VLU patients attending vascular surgery departments in 2 tertiary A hospitals in Sichuan Province from January 2018 to December 2022 were selected as a modeling group and an internal validation group,and 112 patients admitted to another tertiary A hospital were selected as an external validation group.Risk factors for delayed healing in VLU patients were screened using univariate analysis,LASSO regression,and multivariate logistic regression analysis,and a risk prediction model was constructed using R software,and the predictive effects of the models were examined using the area under the receiver operating characteristic curve,the Hosmer-Lemeshow test,decision curve,and the bootstrap resampling for internal validation and spatial external validation were performed,respectively.Results The predictors that ultimately entered the prediction model were diabetes(OR=4.752),deep vein thrombosis(OR=4.104),lipodermatosclerosis(OR=5.405),ulcer recurrence(OR=3.239),and ankle mobility(OR=5.520).The model had good discrimination(AUC:0.819 for internal validation and 0.858 for external validation),calibration(Hosmer-Lemeshow test:χ2=13.517,P=0.095 for internal validation and χ2=3.375,P=0.909 for external validation)and clinical validity.Conclusion The model constructed in this study has good differentiation and calibration,and it can effectively predict people at high risk of delayed healing of VLU,which facilitates targeted clinical interventions to improve ulcer outcomes and reduce the risk of delayed ulcer healing.

The climate on the plateau is characterized by hypobaria and hypoxia,where the natural environment is harsh,which poses a serious threat to the health and combativeness of troops.As a vital organ of the human body,the kidney has a complex vascular structure,large oxygen consumption,and is vulnerable to damage from hypoxia and other factors.This paper outlines the special changes of renal function and current diagnosis and treatment of kidney injury by taking into consideration the actual conditions on the plateau and renal blood and oxygen supply.Meanwhile,related countermeasures are recommended to facilitate the prevention and treatment of kidney injury in warfare on the plateau.