Objective To observe the feasibility of inducible costimulatory(ICOS)target in mice adjuvant-induced arthritis(AIA)models.Methods Twenty BALB/c mice were injected with equal dose of complete Freund's adjuvant(AIA group,n=10)or phosphate buffered saline(control group,n=10)into the right back paws.The second day after injection,ICOS-IRD680 mAb probes were injected in AIA group,while IgG-IRD680 mAb probes were injected in control group through tail vein,respectively.The fluorescent intensity ratio of the right and left paw based on near-infrared fluorescence imaging 24 and 48 h later were compared between groups.The total RNA of mice were extracted for transcriptome sequencing,and differentially expressed genes(DEG)were screened and analyzed.Primary T cells were extracted from the spleen of mice in control group,then magnetic negative T cells were sorted.Activated T cells were stimulated and induced using phoboxylate/ionomycin,the expression level of ICOS protein on the surface of activated T cells were detected,and the safety of probe was also evaluated.Results The expression of ICOS gene in AIA group was significantly up-regulated,and the proportion of T cells was higher than that in control group.ICOS tented to distribute in FoxP3+ regulatory T cells,CD8+T cells and CD4+T cells.The purity of CD3+T cells before and after magnetic negative T cells was 65.31％ and 90.14％,respectively.The proportion of CD4+T cells before and after activated was 7.14％ and 31.20％,respectively,and the mean fluorescent intensity of ICOS protein in activated CD4+T cells(586±25)was significantly higher than that in non-activated CD4+T cells(161±31)(t=25.390,P＜0.001).Twenty-four and 48 h after probe injection,the fluorescent intensity ratio of the right paw/left paw in AIA group was higher than that in control group(t=34.600,P＜0.001;t=23.380,P＜0.001).Compared with control group,no significant pathological change of heart,liver nor kidney tissues of mice in AIA group was detected,while no significant difference of glutamic-pyruvic transaminase,glutamic-oxaloacetic transaminase nor creatinine was found between groups(all P＞0.05).Conclusion ICOS target was safe and feasible for mice AIA models.

Objective:To investigate the value of machine learning model based on MRI in predicting the abundance of tumor infiltrating CD 8+ T cell and prognosis of pancreatic cancer patients. Methods:The clinical data of 156 patients with pathological confirmed pancreatic cancer who underwent pre-operative MRI within 7 days before surgery in the First Affiliated Hospital of Naval Medical University from January 2017 to April 2018 was retrospectively analyzed. According to the international consensus on the predictive model, a total of 116 patients from January to December 2017 were included in the training set, and a total of 40 patients from January to April 2018 were included in the validation set. With the overall survival of patients as the outcome variable, X-Tile software was used to obtain cut-off values of the percentage of CD 8+ T cells, and all patients were divided into CD 8+ T-high and -low groups. The clinical, pathological and radiological features were compared between two groups. 3D slicer software was used to draw the region of interest in each layer of the primary MR T 1- and T 2-weighted imaging, arterial phase, portal venous phase, and delayed phase images for tumor segmentation. Python package was applied to extract the radiomics features of pancreatic tumors after segmentation and the extracted features were reduced and chosen using the least absolute shrinkage and selection operator (Lasso) logistic regression algorithm. Lasso logistic regression formula was applied to calculate the rad-score. The extreme gradient boosting (XGBoost) were used to construct the machine learning predicted model. The models′ performances were determined by area under the ROC curve (AUC), sensitivity, specificity, accuracy, positive predictive value, and negative predictive value. Results:The cut-off value of the CD 8+ T-cell level was 19.09% as determined by the X-tile program. Patients in the high CD 8+ T cell group had a longer median survival than those in the low CD 8+ T cell group (25.51 month vs 22.92 month, P=0.007). The T stage in the training set and tumor size in the validation set significantly differed between the groups (all P value <0.05). A total of 1 409 radiomics features were obtained, and 19-selected features associated with the level of CD 8+ T cell were determined after being reduced by the Lasso logistic regression algorithm. The rad-score was significantly lower in the CD 8- high group (median: -0.43; range: -1.55 to 0.65) than the CD 8- low group (median: 0.22; range: -0.68 to 2.54, P<0.001). The prediction model combined the radiomics features and tumor size. In the training set, the AUC, sensitivity, specificity, accuracy, and positive and negative predictive value were 0.90 (95% CI 0.85-0.95), 75.47%, 90.48%, 0.84, 0.87, and 0.81. In the validation set, the AUC, sensitivity, specificity, accuracy, and positive and negative predictive value were 0.79 (95% CI 0.63-0.96), 90.00%, 80.00%, 0.85, 0.82, and 0.89. The predictive model can accurately distinguish patients with high and low CD 8+ T cells in pancreatic cancer. Conclusions:The radiomics-based machine learning model is valuable in predicting the CD 8+ T cells infiltrating level in pancreatic cancer patients, which could be useful in identifying potential patients who can benefit from immunotherapies.

Objective:To develop and verify a predictive model based on CT characteristics for predicting infected walled-off necrosis (IWON) in MSAP and SAP patients.Methods:The clinical and CT data of 1 322 patients diagnosed as MSAP and SAP according to the 2012 Atlanta revised diagnostic criteria in the First Affiliated Hospital of Naval Medical University from January 2015 to December 2020 were continuously collected. Finally, 126 patients who underwent enhanced CT scans within 3 days after admission and percutaneous catheter drainage of WON during hospitalization were enrolled. Among them, there were 63 MSAP and 63 SAP patients. According to the results of the culture from drainage fluid, the patients were divided into sterile walled-off necrosis group (SWON group, n=31) and infected walled-off necrosis group (IWON group, n=95). Patients were divided into training set (18 patients with SWON and 74 patients with IWON from January 2015 to December 2018) and validation set (13 patients with SWON and 21 patients with IWON from January 2019 to December 2020). Univariate and multivariate logistic regression analysis were performed to establish a model for predicting IWON. The model was visualized as a nomogram. The receiver operating characteristic curve (ROC) was drawn. The predictive efficacy of the model was evaluated by the area under the curve (AUC), sensitivity, specificity and accuracy, and the clinical application value was judged by decision curve analysis (DCA). Results:Univariate regression analysis showed that age, etiology, WON with bubble sign and the lowest CT value of WON were significantly associated with IWON. Multivariate logistic regression analysis showed that older age, biliary acute pancreatitis, WON with bubble sign, and the greater minimum CT value of WON were independent predictors for IWON. The formula for the prediction model was 0.12+ 0.01 age-0.75 hyperlipidemia-1.62 alcoholic-2.62 other causes+ 19.18 WON bubble sign+ 0.10 minimum CT value of WON. The AUC, sensitivity, specificity, and accuracy of the model were 0.85 (95% CI 0.76-0.94), 67.57%, 88.89%, and 71.74% in the training set and 0.78(95% CI0.62-0.94), 66.67%, 84.62%, and 73.53% in the validation set, respectively. The decision analysis curve showed that when the nomogram differentiated IWON from SWON at a rate greater than 0.38, using the nomogram could benefit the patients. Conclusions:The prediction model established based on CT characteristics might non-invasively and accurately predict the presence or absence of IWON in MSAP and SAP patients, and provide a basis for guiding treatment and evaluating prognosis.

Objective:To investigate the imaging features of colloid carcinoma arising from intraductal papillary mucinous neoplasm (IPMN) of pancreas and the differentiation features from ductal adenocarcinoma arising from IPMN, using the pathological findings as the reference.Methods:Twenty-four patients with pathologically confirmed colloid carcinoma from November 2013 to January 2020 in Changhai Hospital, Navy Medical University were included in this study. The clinical manifestations, imaging features and pathological data were retrospective reviewed. Thirty patients of ductal adenocarcinoma arising from IPMN confirmed by pathology were selected as the control group. CT and MRI features of two groups were blindly analyzed by two radiologists, including the lesions location, type of IPMN, size, components, density or signal, calcification, dilation and size of the main pancreatic duct (MPD), pancreatic parenchymal atrophy, fistula formation. The χ 2 test or Fisher exact probability was used to compare the imaging features between the two groups. Results:As for IPMN with colloid carcinoma, 16 cases were located in the head of the pancreas, 7 cases in the body and tail of the pancreas, and 1 case showed diffused changes of the pancreas. Mass was found in twenty-two cases, with the size of 54.5 (29) mm. Nineteen cases were solid-cystic, 4 were cystic and 1 was solid. Thick wall and internal separation with mild enhancement were displayed. Five cases were found with high signal on T 1WI. Thirteen cases had calcification and 2 cases had gas in the tumor. The size of MPD was (13±5) mm. Pancreatic parenchymal atrophy was found in 21 cases and fistula formation was found in 8 cases. The mass size of IPMN with colloid carcinoma was significantly greater than that of IPMN with ductal adenocarcinoma [31 (16) mm, Z=-3.758, P<0.001]. Solid-cystic mass was more found in IPMN with colloid carcinoma and solid mass was more found in IPMN with ductal adenocarcinoma ( P<0.001). Calcification ( P=0.001), fistula formation ( P=0.031), and high signal on T 1WI ( P=0.034) were more found in IPMN with colloid carcinoma than IPMN with ductal adenocarcinoma. Conclusion:Compared with IPMN with ductal adenocarcinoma, the solid-cystic mass, calcification, fistula formation and high signal on T 1WI were more commonly found in IPMN with colloid carcinoma.

Objective:To investigate the MRI features of intraductal papillary mucinous tumor (IPMN) of the pancreas and establish a prediction model for predicting the malignancy risk.Methods:The clinical data of 260 IPMN patients who underwent MRI and pathological confirmed in the First Affiliated Hospital of Naval Medical University from October 2012 to April 2020 were retrospectively analyzed. According to the pathological results, all patients were divided into benign group (including IPMN with low-grade dysplasia) and malignant group (including IPMN with high grade dysplasia and invasive carcinoma). According to international consensus of prediction model modeling, patients were divided into training set and validation set in chronological order. A prediction model was developed based on a training set consisting of 193 patients (including 117 patients with benign IPMN and 76 patients with malignant IPMN) between October 2012 and April 2019, and the model was validated in 67 patients (including 40 patients with benign IPMN and 27 patients with malignant IPMN) between May 2019 and April 2020. The multivariable logistic regression model was adopted to identify the independent predictive factors for IPMN malignancy and establish and visualized a nomogram. The ROC was drawn and AUC was calculated. The decision curve analysis was used to evaluate its clinical usefulness.Results:The IPMN type, cyst size, thickened cyst wall, mural nodule size, diameter of main pancreatic duct (MPD) and the abrupt change in the caliber of the MPD with distal pancreatic atrophy in the training set and validation set, and jaundice and lymphadenopathy in the training set were significantly different between benign group and malignant group ( P<0.05). The multivariable logistic regression model of characteristics included the jaundice, cyst size, mural nodule size ≥5 mm, the abrupt change in caliber of the MPD with distal pancreatic atrophy were independent risk factors for IPMN maligancy. The model for predicting IPMN malignancy was -0.35+ 2.28×(jaundice)+ 1.57×(mural nodule size ≥5 mm)+ 2.92×(the abrupt change in caliber of the MPD with distal pancreatic atrophy)-1.95×(cyst <3 cm)-1.05×(cyst≥3 cm). The individualized prediction nomogram using these predictors of the malignant IPMN achieved an AUC of 0.85 (95% CI 0.79-0.91) in the training set and 0.84 (95% CI 0.74-0.94) in the validation set. The sensitivity, specificity and accuracy of the training set were 72.37%, 85.47% and 80.31%, respectively. The sensitivity, specificity and accuracy of the validation set were 81.48%, 75.00% and 77.61%, respectively. The decision curve analysis demonstrated that when the IPMN malignancy rate was >0.16, the nomogram diagnosing IPMN could benefit patients more than the strategy of considering all the patients as malignancy or non-malignancy. Conclusions:The nomogram based on MRI features can accurately predict the risk of malignant IPMN, and can be used as an effective predictive tool to provide more accurate information for personalized diagnosis and treatment of patients.

Objective:To develop and validate a visualized computed tomography nomogram for differentiating focal-type autoimmune pancreatitis (fAIP) from pancreatic ductal adenocarcinoma (PDAC).Methods:This retrospective review included 42 consecutive patients with fAIP diagnosed according to the International Consensus Diagnostic Criteria and 242 consecutive patients with PDAC confirmed by pathology between January 2011 and December 2018 in the First Affiliated Hospital of Naval Medical University. Among them, 209 consecutive patients (25 fAIP and 184 PDAC) were enrolled in the development cohort; Seventy-five consecutive patients (17 fAIP and 58 PDAC) were enrolled in the validation cohort. CT image characteristics, including lesion location, size, enhancement mode and degree of mass enhancement in portal vein phase, pancreatic parenchymal atrophy, main pancreatic duct dilation, common bile duct dilation, cyst, acute obstructive pancreatitis, and vascular invasion were compared. Univariate and multivariate analysis were used to screen the independent predictive factors for fAIP and PDAC, based on which the nomogram was constructed and visualized. The receiver operating characteristic curve (ROC) was drawn and area under the curve (AUC) was calculated to evaluate the differential efficacy of the nomogram. The clinical usefulness of the nomogram was evaluated by decision curve analysis.Results:There were statistically significant differences on common bile duct dilation and the mode and degree of enhancement in portal phase between fAIP group and PDAC group in training set and validation set ( P<0.05). Univariate regression analysis showed that common bile duct dilation and degree of mass enhancement in portal vein were closely correlated with fAIP and PDAC phase between the two groups in training set and validation set; mass enhancement mode in portal vein phase and main pancreatic duct dilation were closely correlated with fAIP and PDAC in training set. Multivariate logistic regression analysis showed that common biliary duct dilatation ( OR=0.26, 95% CI 0.06-1.10, P=0.07), main pancreatic duct dilation ( OR=9.46, 95% CI 1.60-56.04, P<0.01) and mass mild hyper-enhancing in portal vein phase ( OR=0.003, 95% CI 0.0003-0.0278, P<0.0001) were the three independent predictors for fAIP and PDAC. Thus, the equation for predicting the probability of PDAC was 4.51-1.33× no dilatation of the common bile duct+ 2.25× the main pancreatic duct dilated-5.84× mass mild hyper-enhancing during the portal phase. The individualized prediction nomogram using these predictors of the fAIP achieved an AUC of 0.97 (95% CI 0.95-0.99) in the development set and 0.97(95% CI0.94-1.00) in the validation set. The sensitivity, specificity and accuracy of the model were 87.5%, 100% and 89% in the training set; and 94.83%, 94.12% and 94.67% in the validation set, respectively. The decision curve analysis demonstrated that the nomogram was clinically useful when the nomogram differentiated fAIP and PDAC at a rate of >0.2. Conclusions:The nomogram based on common bile duct dilation, main pancreatic duct dilation and mass enhancement in portal vein phase can be used as a useful tool for predicting fAIP and PDAC and provide valuable evidence for clinical decision.

Objective:To develop an diagnostic equipment with artificial intelligence (AI) real-time assistance under endoscopy (endoscopic AI equipment) for the detection of gastrointestinal protruding lesions, and to evaluate its performance and safety.Methods:From January to December 2017, at Endoscopy Center of West China Hospital, Sichuan University, the endoscopic images of individuals who underwent routine gastroscopy and colonoscopy were collected. The model was established based on convolutional neural network and the endoscopic AI equipment was developed. From June to December 2019, a prospective, single center, blinded and parallel controlled study was conducted to compare the differences in evaluation of protruding lesions of the same patient under gastroscopy or colonoscopy between endoscopist and the endoscopic AI equipment and to evaluated the impact of lesion size (lesions <5 mm and ≥5 mm) on the detection of endoscopic AI equipment. The main outcome measure was the detection time difference in reporting the protruding lesion between endoscopic AI equipment and endoscopist; and the secondary indicator was the accuracy of endoscopic AI equipment in detecting the protruding lesion. Wilcoxon rank sum test and chi-square test were used for statistical analysis.Results:A total of 71 582 white light endoscopy images were used for endoscopic AI equipment training, which included 41 376 images of protruding lesions. The endoscopic AI equipment was successfully developed and obtained the registration certificate of medical devices of the People′s Republic of China (Sichuan Instrument Standard, 20202060049). The accuracy, sensitivity, and specificity of endoscopic AI equipment in detecting protruding lesions were 96.4%, 95.1% and 92.8%, respectively. The detection time of each protruding lesions under gastroscopy of endoscopic AI equipment was 1.524 seconds faster than that of endoscopist; but the detection time of each protruding lesions under colonoscopy was 0.070 seconds slower than that of endoscopist, and the differences were statistically significant ( Z=-5.505 and -4.394, both P<0.01). The detection time of each protruding lesions under gastroscopy or colonoscopy of endoscopic AI equipment was not inferior to that of endoscopist. The detection rate of protruding lesions under colonoscopy by endoscopic AI equipment was 89.9% (249/277) and the sensitivity was 89.9%; the detection rate of protruding lesions under colonoscopy was 87.0% (450/517) and the sensitivity was 86.9%. There were no statistically significant differences in the detection time difference, sensitivity and missed diagnostic rate between the lesions <5 mm and ≥5 mm detected by endoscopic AI equipment under gastroscopy (all P>0.05). The sensitivity of endoscopic AI equipment in detecting the lesions ≥5 mm under colonoscopy was higher than that of lesions <5 mm (96.8% vs. 84.9%), and the missed diagnostic rate was lower than that of lesions <5 mm (3.2%, 3/94 vs. 15.1%, 61/405), and the differences were statistically significant ( χ2=9.615 and 9.612, both P=0.002). No adverse events on patients and medical staffs occurred, and there were no cases of equipment electricity leakage, and abnormal work reported during the use of endoscopic AI equipment. Conclusions:The endoscopic AI equipment can report the protruding lesions simultaneously with endoscopists, and the accuracy is close to 90%, which is expected to be a practical assistant for endoscopists to avoid missed detection of protruding lesions.

Objective To study the value of reduced field-of-view (rFOV DWI) in differentiating patients with solid pancreatic focal lesions.Methods 139 patients with solid pancreatic mass were enrolled,including 105 patients with pancreatic ductal acinar carcinoma (PDAC),16 patients with neuroendocrine neoplasms,7 patients with mass forming chronic pancreatitis (MFCP) and 11 patients with solid papillary tumor (SPT).38 healthy adult volunteers served as controls,and underwent single stimulated echo planar imaging (ss-EPI) DWI and rFOV DWI(b value =0 and 600 s/mm2) MRI examination.Quartation method was used to evaluate the image quality of ss-EPI) DWI and rFOV DWI in the three terms of the visibility of anatomical structure,contrast of pancreatic lesions,motion and the susceptibility artifacts during MRI.Work station self-carried software was used to measure the ADC value of the region of interest (ROI).The image quality and ADC values of different pancreatic diseases and normal pancreas were compared.ROC curve for ADC value was drawn to evaluate the difference among PDAC,other benign pancreatic masses and normal pancreas.Results At b value of 0 and 600 s/mm2,rFOV DWI was superior to ss-EPI DWI in terms of showing pancreatic anatomic structure,the contrast of the lesion and the score evaluation for susceptibility artifacts(b =0 s/mm22.99 ±0.51 vs 2.79 ±0.64,2.37±0.48 vs 1.81 ±0.63,3.17 ±0.56 vs 2.91 ±0.60;b =600 s/mm23.63 ±0.50 vs 3.32 ±0.56,3.45 ±0.50 vs 3.01 ±0.49,3.74 ±0.44 vs 3.12 ±0.37),and the differences were statistically significant (P＜0.001).ADC values of PDAC,NET,MFCP,SPT and normal pancreas were (1.38 ± 0.17) × 10-3,(1.22 ± 0.35) × 10-3,(1.29 ± 0.13) × 10-3,(1.04 ± 0.38) ×10-3and(1.86±0.15) ×10-3mm2/sforrFOV DWI,and (1.73 ± 0.24) ×10-3,(1.63±0.39) ×10-3,(1.58±0.19) × 10-3,(1.25±0.26) × 10-3 and(2.04±0.20) × 10-3mm2/s for ss-EPI DWI.The difference on ADC values among different groups and within one group were all statistically significant (P ＜0.001).There were no statistical significant differences on ADC values between MFCP and PDAC,between MFCP and SPT as well as on ss-EPI DWI ADC values between PDAC and NET,but statistical differences were found between other two groups (P ＜ 0.05).The area under the ROC curve of rFOV and ssEPI DWI was 0.983 (95％ CI 0.944-0.998) and 0.889 (95％ CI 0.822-0.936),respectively,and the difference was statistically significant (P =0.0004),but rFOV DWI and ss-EPI DWI ADC values for PDAC and all benign solid diseases were 0.799 (95％ CI 0.719-0.864) and 0.755 (95％ CI 0.672-0.827),and the difference was not statistically significant.Conclusions rFOV DWI could significantly enhance the quality of DWI images,and its diagnostic efficacy was much better than ss-EPI DWI.

BACKGROUND:Discectomy is an important therapy for lumbar disc herniation, but a smal number of patients undergoing discectomy wil relapse.
OBJECTIVE:To investigate the spinal stability fol owing posterior pedicle screw fixation combined with interbody fusion cage for treatment of recurrent lumbar disc herniation.
METHODS:Twenty-six patients with recurrent lumbar disc herniation from January 2007 to December 2011 were enrol ed and subjected to posterior pedicle screw fixation combined with interbody fusion cage. Pain relief and lumbar stability were observed postoperatively. We analyzed the spinal stability in recurrent lumbar disc herniation patients after posterior pedicle screw fixation combined with interbody fusion cage depending on literature search.
RESULTS AND CONCLUSION:Al the 26 patients were fol owed up for 12-36 months. After treatment, al patients effectively al eviated the symptoms of low back pain, and lumbar interbody fusion was good, with a good rate of 96.2%. There was no pedicle screw loosening, broken, non-fusion phenomenon. Posterior decompression and interbody fusion cage combined with posterior pedicle screw fixation for recurrent lumbar disc herniation, characterized as fast symptom relief, strong fixation, exact interbody fusion exact, is an ideal treatment for recurrent lumbar disc herniation.

BACKGROUND: Expectant treatment for intertrochanteric fractures in elderly patients with osteoporosis and other chronic diseases can easily lead to complications of lying in bed.OBJECTIVE: To evaluate the results of percutaneous compression plating system (PCCP) for intertrochanteric fractures in elderly patients. METHODS: Thirty-two cases of elderly intertrochanteric fractures treated with PCCP admitted from June 2007 to June 2009 and 40 cases of elderly intertrochanteric fractures treated with dynamic hip screw system (DHS) were reviewed. The operative bleeding, operative time and curative effect were compared.RESULTS AND CONCLUSION: The operative bleeding and operative time in the patients receiving PCCP were significantly lower than those in the patients receiving DHS. There was not statistical significance between the curative effects about the two methods. PCCP applied in elderly patients with intertrochanteric fracture can get satisfactory effects, and the system is operated simply with minimally invasive surgery, which is beneficial to reduce surgical complications.