Objective To analyze various scanning parameters and contrast agent injection schemes,and explore the feasibility of three-low scanning technology characterized by lower radiation dose,slower injection rate and reduced contrast agent dosage in coronary angiography with wide-detector CT.Methods A total of 210 patients who underwent coronary angiography were recruited and randomly divided into group A(routine group,n=105)and group B(three-low group,n=105),and all of them were examined using the Revolution CT from the American GE company.Group A and group B adopted 120 and 100 kV tube voltages,respectively.The contrast injection rate and contrast agent dosage were calculated using formulas based on body mass index and beat per minute.Image quality was objectively evaluated using CT number,signal-to-noise ratio and contrast-to-noise ratio,and subjectively scored using Likert 5-point method.Results No statistical differences were found in the basic data between two groups(P>0.05).The CT numbers of the aortic sinus orifice in coronary artery images obtained from group A and group B were(442.70±58.26)and(454.11±62.36)HU,respectively.The differences between two groups in CT number,image score,signal-to-noise ratio,and contrast-to-noise ratio were trivial(P>0.05),while statistically significant differences were noted in injection rate,contrast agent dosage,tube current,and effective radiation dose(P<0.05).Group B reduced the effective radiation dose by 33.89%as compared with group A.Conclusion Based on the patient's body mass index and beat per minute,a personalized contrast agent injection scheme can be developed.Both routine group and three-low group can obtain image quality that meets imaging diagnosis requirements,and the latter has better image quality,demonstrating that the three-low scheme benefits the patients more for it can reduce the patient's radiation dose and contrast agent dosage while achieving higher image quality.

Objective To construct a machine learning prediction model for diabetic kidney disease(DKD)in type 2 diabetes mellitus(T2DM)patients in the plain-sand and loess hilly areas of Gansu Province,and analyze the interpretability of the model.Methods A multi-stage stratified random sampling method was used to collect the data of T2DM patients in the two areas.After key feature screening,eight ML prediction models were constructed for the risk of DKD in the two areas.The receiver operating characteristic(ROC)curve,accuracy and F1 index were used to evaluate the model,and Shapley additive explanation(SHAP)algorithm was used for model interpretation.Results A total of 1599 patients with T2DM were enrolled in this study.After feature screening,ten variables were selected for model construction in the plain-sand areas.Among the eight models,the gradient boosting decision tree(GBDT)model had the highest prediction efficiency.The area under the curve(AUC)of the test dataset was 0.972,the accuracy was 0.949,and the F1 index was 0.884.In the loess hilly region,12 variables were included in the model,and the best model was the random forest(RF).The AUC of the test set was 0.966,the accuracy was 0.951,and the F1 index was 0.861.SHAP analysis showed that in addition to serum creatinine,age,LDL-C,HbA1c,DM duration,serum uric acid and urinary microalbumin were also closely related to the high risk of DKD.Conclusions The GBDT and RF models have good predictive efficiency for the occurrence of DKD in the two areas,which can be used for the screening of DKD high-risk populations and the in-depth exploration of potential risk factors in the two areas.

Objective To analyze various scanning parameters and contrast agent injection schemes,and explore the feasibility of three-low scanning technology characterized by lower radiation dose,slower injection rate and reduced contrast agent dosage in coronary angiography with wide-detector CT.Methods A total of 210 patients who underwent coronary angiography were recruited and randomly divided into group A(routine group,n=105)and group B(three-low group,n=105),and all of them were examined using the Revolution CT from the American GE company.Group A and group B adopted 120 and 100 kV tube voltages,respectively.The contrast injection rate and contrast agent dosage were calculated using formulas based on body mass index and beat per minute.Image quality was objectively evaluated using CT number,signal-to-noise ratio and contrast-to-noise ratio,and subjectively scored using Likert 5-point method.Results No statistical differences were found in the basic data between two groups(P>0.05).The CT numbers of the aortic sinus orifice in coronary artery images obtained from group A and group B were(442.70±58.26)and(454.11±62.36)HU,respectively.The differences between two groups in CT number,image score,signal-to-noise ratio,and contrast-to-noise ratio were trivial(P>0.05),while statistically significant differences were noted in injection rate,contrast agent dosage,tube current,and effective radiation dose(P<0.05).Group B reduced the effective radiation dose by 33.89%as compared with group A.Conclusion Based on the patient's body mass index and beat per minute,a personalized contrast agent injection scheme can be developed.Both routine group and three-low group can obtain image quality that meets imaging diagnosis requirements,and the latter has better image quality,demonstrating that the three-low scheme benefits the patients more for it can reduce the patient's radiation dose and contrast agent dosage while achieving higher image quality.

Objective To construct a machine learning prediction model for diabetic kidney disease(DKD)in type 2 diabetes mellitus(T2DM)patients in the plain-sand and loess hilly areas of Gansu Province,and analyze the interpretability of the model.Methods A multi-stage stratified random sampling method was used to collect the data of T2DM patients in the two areas.After key feature screening,eight ML prediction models were constructed for the risk of DKD in the two areas.The receiver operating characteristic(ROC)curve,accuracy and F1 index were used to evaluate the model,and Shapley additive explanation(SHAP)algorithm was used for model interpretation.Results A total of 1599 patients with T2DM were enrolled in this study.After feature screening,ten variables were selected for model construction in the plain-sand areas.Among the eight models,the gradient boosting decision tree(GBDT)model had the highest prediction efficiency.The area under the curve(AUC)of the test dataset was 0.972,the accuracy was 0.949,and the F1 index was 0.884.In the loess hilly region,12 variables were included in the model,and the best model was the random forest(RF).The AUC of the test set was 0.966,the accuracy was 0.951,and the F1 index was 0.861.SHAP analysis showed that in addition to serum creatinine,age,LDL-C,HbA1c,DM duration,serum uric acid and urinary microalbumin were also closely related to the high risk of DKD.Conclusions The GBDT and RF models have good predictive efficiency for the occurrence of DKD in the two areas,which can be used for the screening of DKD high-risk populations and the in-depth exploration of potential risk factors in the two areas.

Objective To improve the CT image quality of the anorectal junction in venous phase using a new deep learning image reconstruction(DLIR)algorithm.Methods A retrospective analysis was conducted on 71 patients undergoing pelvic computed tomography(CT)scans.All CT images were reconstructed at a thin slice thickness of 0.625 mm using 50%ASiR-V,low-,medium-and high-intensity DLIR(DLIR-L,DLIR-M and DLIR-H).The CT attenuations and standard deviation values of anal canal and hip fat were measured for each reconstruction group.With the standard deviation of hip fat as background noise,the contrast-to-noise ratio(CNR)and signal-to-noise ratio(SNR)of anal canal were calculated.Two radiologists independently assessed image quality and diagnostic confidence for local invasion of rectal cancer using the 5-point Likert scale.The objective measurement indicators and subjective scores were analyzed and compared,and Kappa test was used to evaluate the consistency.Results The differences in CT value of anal canal and hip fat among the groups were trivial(P>0.05),but fat SD,anal canal SNR and CNR(P<0.05)differed significantly,with lowest fat SD,highest anal canal SNR and CNR in DLIR-H group,while highest fat SD,lowest anal canal SNR and CNR in 50%ASiR-V group.Compared with 50%ASiR-V group,DLIR-H group decreased fat SD by 44.3%,but increased anal canal SNR and CNR by 89.5%and 92.1%,respectively(P<0.05).The subjective score of 4 groups were significantly different(P<0.05),decreasing from DLIR-H to 50%ASiR-V,and the inter-group differences were significant(P<0.05),except the difference between 50%ASiR-V group and DLIR-L group(P>0.05).There was a statistically significant difference in the diagnostic confidence for local invasion of rectal cancer among different groups(P<0.05),and the scores were significantly higher in DLIR-M and DLIR-H groups than in 50%ASiR-V and DLIR-L groups(P<0.05).Conclusion Compared with the standard 50%ASiR-V image,DLIR-M and DLIR-H reconstruction algorithms can effectively improve the image quality for the anorectal junction in CT imaging.The higher-intensity DLIR results in better image quality and stronger ability to display fine structures,which can provide more evidences for clinical precision evaluation and personalized precision treatment.

Objective:To analyze the clinical features of post-pancreaticoduodenectomy hemorrhage, and explore effective and practical nursing strategies.Methods:Clinical data of 62 patients with post-pancreaticoduodenectomy hemorrhage from Jan 2014 to Dec 2019 in the First Affiliated Hospital of Naval Medical University were retrospectively analyzed. The bleeding time, location, vital signs, accompanying symptoms and surgical treatment measures and clinical outcomes were analyzed.Results:Among the 62 cases, early (within 24 h) hemorrhage occurred in 19/62 patients (30.6%), and late hemorrhage occurred in 43/62 patients (69.4%). 36/62 patients (58.1%) had arterial bleeding; And 43/62 patients (69.4%) had abdominal hemorrhage. Grade C hemorrhage occurred in 32/62 patients (51.6%). Sentinel hemorrhage occurred in 8/62 patients (12.9%). The manifestation of hemorrhage in 42 patients was bloody fluid from abdominal drainage tube (67.7%). Hemorrhage occurred in 23 patients with pancreatic fistula(37.1%), 12 patients with abdominal infection and other complications (19.4%). Shock symptoms occurred in 41 cases (66.1%) with postoperative hemorrhage. Pancreaticoduodenectomy hemorrhage were early detected in 0.3 h and last detected in 869 h, with a median time of 192.00 (14.63, 297.00) h. 30/62 cases (48.4%) of hemorrhage patients occurred 1 hour before and after nursing shift. When hemorrhage was found, emergency treatments such as blood transfusion to maintain blood volume ( n=47, 75.8%), hemostasis ( n=35, 56.5%) and vasoactive drugs to increase blood pressure ( n=32, 51.6%) were usually given immediately. 31/62 patients (50.0%) underwent emergency secondary surgery within 4 h of hemorrhage, and 45/62 patients (72.6%) were cured by emergency surgical treatment. A written treatment pre-plan for surgical nurses was established. Conclusions:Surgical nurses should be familiar with the clinical manifestations of post-pancreaticoduodenectomy hemorrhage, and improve the alarming ability of identifying the complications of post-operative hemorrhage. The establishment of an emergency pre-plan for surgical nurses could help to treat such patients timely and effectively.

Since the outbreak of coronavirus disease 2019 (COVID-19), chest computed tomography (CT) has been an important imaging modality in the diagnosis, treatment and follow-up of patients with COVID-19,but meanwhile the risk of cross-infection between the staff and patients in Department of Radiology is increasing. Shelter CT is specifically used for the examination of patients with suspected or confirmed COVID-19 to reduce the infection risk. Based on practical work experience, the management and prevention measures for COVID-19 in shelter CT are discussed from the aspects of the installation, function division and examination procedures of shelter CT, patient examination route, the staff management and infection prevention for radiology technologists, and the disinfection of CT equipments and object surface.

Objective To investigate the application of 3D scanning system in medical education technology.Methods David 3D scanning system had its advantages,calibration technique,working flow and post-processing of scanning data described,and then introduced into medical education and underwent series of tests.Results David 3D scanning system gained high modeling speed,and spent only 2 h for actual specimen scanning,modeling as well as synchronized collection and mapping.The scanning accuracy reached industrial level.Conclusion David 3D scanning system gains advantages over the traditional 3D scanning technique,and facilitates medical digital modeling by transforming object information into digital signal.

This study preliminarily discussed the TCM syndrome types of myasthenia gravis (or flaccidity) and its treatments and prescriptions through consensus method,providing evidence and level revision of the recommended expert consensus of myasthenia gravis in TCM clinical practice guideline.Literatures over TCM syndrome types,symptoms,therapeutic regime,medication and acupuncture were involved in the syndrome analysis of myasthenia gravis through literature retrieval.The common clinical syndromes were outputted by mentioned rate.Ten first-rate hospitals were finally included,such as The Affiliated Hospital of Changchun University of Traditional Chinese Medicine,Dongfang Hospital of Beijing University of Chinese Medicine,Guangdong Province Traditional Chinese Medical Hospital and Affiliated Hospital of Anhui University of Traditional Chinese Medicine.Twelve experts in aggregate were confirmed to participate in the discussion for the identification of the TCM syndrome types,treatments and prescriptions of myasthenia gravis.As a result,five TCM syndrome types,such as syndrome of spleen and stomach qi deficiency,syndrome of spleen-kidney deficiency,deficiency syndrome of both qi and yin,syndrome of deficiency and sinking of qi,were confirmed;while five therapeutic regimes were approved,including reinforcement of qi,tonification of spleen and stomach,tonification of spleen and kidney qi,tonification of qi and yin,the supplement of qi and restoration of yang for ascending qi collapse.In addition,five prescriptions were supported by the experts,such as Bu Zhong Yi Qi (BZYQ) decoction,BZYQ decoction combined with You Gui pills,BZYQ decoction combined with Sheng Mai powders and Sheng Xian decoction.In conclusion,the expert consensus method for the screen of TCM syndrome types of myasthenia gravis embodied the conception of literature research based on the clinical practice combined with the scientific methods in conformity with the current research approaches to TCM syndrome types.

Objective To investigate the clinical value of enhanced recovery after surgery (ERAS) in patients undergoing postoperative early enteral nutrition (EEN) with radical resection for hilar cholangiocarcinoma.Methods The clinical data of 48 patients with hilar cholangiocarcinoma who were admitted to the Drum Tower Clinical Medical College of Nanjing Medical University from July 2006 to September 2014 were retrospectively analyzed.All the 48 patients underwent radical resection for hilar cholangiocarcinoma,including 24 patients receiving postoperative EEN (EEN group) and 24 patients receiving total parenteral nutrition (TPN group).The serologic indices and liver function were detected regularly after operation.Ten percent of albumin (Alb) 10 g was administered by intravenous infusion when Alb ＜ 30 g/L.The indexes of all the 48 patients were compared in the 2 groups at postoperative day 3 and 7,including the serologic indices and liver function,the exhaust time,the volume of Alb infusion,the complications (incisional infection,abdominal infection,pleural effusion,peritoneal effusion and bile leakage) and the duration of hospital stay.The patients were followed up by outpatient examination and telephone interview till September 2014.The measurement data with normal distribution were presented as x ± s,comparison between groups and count data were analyzed using the t test and chi-squared test,respectively.Results Patients in the 2 groups were cured successfully and discharged,and no patient died perioperatively.Patients in the EEN group had a good tolerance for EEN and no occurrence of EEN-related complications was detected.The level of the GGT was (108 ± 73) U/L in the EEN group,which was significantly lower than (225 ± 121) U/L in the TPN group at postoperative day 3 (t =4.041,P ＜ 0.05).The level of the GGT was (142 ± 86) U/L in the EEN group,which was no significantly different from (183 ± 107)U/L in the TPN group at postoperative day 7 (t =1.477,P ＞ 0.05).The postoperative time to anal exsufflation and the duration of hospital stay were (73 ± 18) hours and (15 ± 4) days in the EEN group,which were significantly different from (97 ± 21) hours and (18 ± 4) days in the TPN group,and the volume of Alb infusion was (44 ± 29)g in the EEN group,which was significantly lower than (101 ± 92) g in the TPN group (t =4.295,2.615,2.916,P ＜ 0.05).All the 48 patients were followed up for 1 to 71 months (mediantime,10 months),no patients received reoperation or re-admitted to the hospital due to complications.Conclusion The application of postoperative EEN in enhanced recovery of patients undergoing radical resection for hilar cholangiocarcinoma is safe and effective,it could accelerate the recovery of enteral function,shorten the postoperative duration of hospital stay and reduce the supplement of extrinsic Alb,which is helpful for the fast recovery of patients.