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find Author "SONGBin" 24 results
  • Molecular Imaging of Islet Transplantation:Tracking and Monitoring

    Objective To summarize and analyze the different modality on molecular imaging of tracking and monitoring for islet transplantation.Methods The current domestic and foreign reports on molecular imaging of islet transplantation were reviewed.Results Magnetic resonance imaging has high sensitivity,high spatial resolution,no ionizing radiation,is clinically applicable,and could be used of real-time MR-guided injections,but can’t discriminate between liver and dead cells,difficult to do in patients with liver iron overload.Nuclear molecular imaging only displays liver cells generate signal,is clinically applicable,but disadvantage is genetic manipulation,ionizing radiation,no anatomical information,low spatial resolution.The advantage of in vivo optical imaging is only liver cells generate signal,widely available,no ionizing radiation,and the disadvantage is genetic manipulation,not clinically applicable,low spatial resolution.Conclusions Islet imaging using magnetic resonance,nuclear molecular imaging,in vivo optical imaging,or multimodal imaging of microencapsulated islets may provide us with a direct means to interrogate islet cell distribution,survival,and function.Multimodal imaging of microencapsulated islets may be best way for tracking and monitoring in the future.

    Release date:2016-09-08 10:36 Export PDF Favorites Scan
  • The Research of Lymph Node Tumor Diagnosis Algorithm for Lymphography Based on Semi-Naive Bayes Classification Model

    Acquaintance of the lymph node is very important to evaluate whether the tumor is malignant or benign and therefore to the treatment of the tumors. Lymphography is now considered the gold standard for this purpose. Many computer aided diagnose (CAD) technologies have been developed to help radiologists to diagnose the tumor by the lymphography cases. In this paper, a computer aided diagnose model is constructed by Semi-naive Bayes Classification. The experiments carried out in our laboratory validated the Semi-Naive Bayes Classification on lymphography case. The result of experiments showed that Semi-Naive Bayes Classification could classify lymphography case effectively.

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  • Value of Magnetic Resonance Imaging in Characterizing Cirrhosis-Related Nodules: A Meta-Analysis

    ObjectiveTo evaluate the sensitivity, specificity, and accuracy of magnetic resonance imaging (MRI) in characterizing cirrhosis-related nodules. MethodsThe databases such as the Cochrane Library, PubMed, EMbase were searched on computer from 1998 to 2012.The reviewers screened the trials according to strict inclusion and exclusion criteria, extracted the data, and assessed the methodology quality.Meta-analysis was performed using the metadisc 1.40 software.The acquired pooled sensitivity, specificity, and summary receiver operating characteristic (SROC) curve were used to describe the diagnostic value.The pooled likelihood ratio was calculated based on the pooled sensitivity and specificity. ResultsSix case-control studies involving 917 patients diagnosed with cirrhosis who were suspected to have hepatic nodules were included and 776 masses were confirmed by the biopsy or postoperative histopathology.The pooled statistical results of meta-analysis showed that the sensitivity and specificity of MRI were 87%(83%-89%) and 79%(73%-84%) respectively, the positive and negative likelihood ratios of MRI were 3.95 and 0.18 respectively, and the area under the SROC curve (AUC) was 0.895 6.The sensitivity and specificity of CT were 69%(65%-73%) and 83%(77%-88%) respectively, the positive and negative likelihood ratios of CT were 3.29 and 0.42 respectively, and the AUC was 0.728 7.The sensitivity, positive likehood ratio, and accuracy of MRI in characterizing cirrhosis-related nodules were higher than those of CT. ConclusionAccording these evidences, the MRI should be the first imaging examination for qualitative diagnosis of cirrhosis-related nodules.

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  • Correlative Analysis of Three Computed Tomography Imaging Scoring to Bedside Index of Severity in Acute Pancreatitis in Evaluating for Severe Acute Pancreatitis

    ObjectiveTo investigate correlation of bedside index for severity in acute pancreatitis(BISAP) and computed tomography severity index(CTSI), modified computed tomography severity index(MCTSI), or extra-pancreatic inflammation on CT(EPIC) score, respectively, in assessing severity of acute pancreatitis. MethodsForty-five patients confirmed SAP from July 2015 to November 2015 in West China Hospital of Sichuan University were prospectively included into this study. Contrast-enhanced multi-detector-row CT scan was performed for all the patients. The abnormal imaging features, such as pancreatic and peri-pancreatic inflammatory changes, involvement of other organs and local complications, were observed and used to calculate three CT severity indexes(CTSI, MCTSI, and EPIC). The clinical data were also colle-cted to calculate BISAP and as compared with CT severity indexes. Correlation between the CT indexes points and BISAP score was estimated using the Spearman test. Interobserver agreement for CTSI, MCTSI or EPIC was calculated using the Kappa statistic. ResultsThe results of BISAP score were as follows: 4 cases gradeⅠ, 22 cases gradeⅡ, 19 cases gradeⅢ. The results of CTSI score were as follows: 6 cases gradeⅠ, 22 cases gradeⅡ, 17 cases gradeⅢ. The results of MCTSI score were as follows: 1 case gradeⅠ, 13 cases gradeⅡ, 31 cases gradeⅢ. The results of EPIC score were as follows: 6 cases gradeⅠ, 11 cases gradeⅡ, 28 cases gradeⅢ. The score of BISAP, CTSI, MCIST, or EPIC was 2.41±0.82, 6.02±1.96, 7.91± 2.11, and 5.57±1.52, respectively. Interobserver agreements for CTSI, MCTSI, and EPIC were good(CTSI: Kappa=0.748, 95% CI 0.000-0.076, P < 0.01; MCTSI: Kappa=0.788, 95% CI 0.000-0.076, P < 0.01; EPIC: Kappa=0.768, 95% CI 0.000-0.076, P < 0.01). Spearman statistic showed there was a positive correlation between CTSI score(rs=0.439, P=0.003), MCTSI score(rs=0.640, P=0.000), or EPIC(rs=0.503, P=0.001) and BISAP score. ConclusionThere is a positive correlation between MCTSI or EPIC and BISAP score, and MCTSI is more strongly correlated with BISAP as compared with EPIC.

    Release date:2021-06-24 01:08 Export PDF Favorites Scan
  • Correlative Analysis of Two Computed Tomography Imaging Scoring to Bedside Index for Severity in Acute Pancreatitis for Evaluating Severe Acute Pancreatitis

    ObjectiveTo investigate correlation of bedside index for severity in acute pancreatitis (BISAP) and computed tomography severity index (CTSI) or modified CT severity index (MCTSI) in assessing severe acute pancreatitis (SAP). MethodsThirty-eight patients confirmed SAP from July 2015 to October 2015 in West China Hospital of Sichuan University were prospectively included into this study. Contrast-enhanced multi-detector-row CT scan was performed for all the patients. The abnormal imaging features, such as pancreatic and peri-pancreatic inflammatory changes, involvement of other organs, and local complications, were observed and used to calculate by CTSI score and MCTSI score. The clinical data were also collected to calculate BISAP score and as compared with CTSI score and MCTSI score. ResultsThe results of BISAP score were as follows:3 cases gradeⅠ(8.9%), 20 cases gradeⅡ(52.6%), 15 cases gradeⅢ(39.5%). The results of CTSI score were as follows:6 cases gradeⅠ(15.8%), 22 cases gradeⅡ(57.9%), 10 cases gradeⅢ(26.3%). The results of MCTSI score were as follows:2 cases gradeⅠ(5.3%), 19 cases gradeⅡ(50.0%), 17 cases gradeⅢ(44.7%). The results of interobserver agreement were good (BISAP:Kappa=1, P < 0.01; CTSI:Kappa=0.748, 95% CI 0.00-0.076, P < 0.01; MCTSI:Kappa=0.788, 95% CI 0.00-0.076, P < 0.01). There was a positive correlation between CTSI score (rs=0.385, P=0.001) or MCTSI score (rs=0.326, P=0.004) and BISAP score using the Spearman test. ConclusionThere is a weak correlation between CTSI score or MCTSI score and BISAP score.

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  • The Iodine Maps Created from Dual-Source Dual-Energy CT for The Diagnosis of Pancreatic Necrosis in The Early Stage of Acute Pancreatitis

    ObjectiveTo evaluate the value of 120 kV portal venous phase images combined with iodine maps created from dual-source dual-energy CT (DECT) for the diagnosis of pancreatic necrosis in the early stage of acute pancreatitis. MethodsThis prospective study enrolled 17 patients who underwent abdominal dual-source DECT within 72 hours from the onset of acute pancreatitis. All patients had received treatment in West China Hospital from May 2014 to August 2014. Comparison of the diagnostic value of 120 kV portal venous phase images alone and 120 kV portal venous phase images combined with iodine maps created from dual-source DECT was performed. ResultsSix of the 17 patients were found the presence of pancreatic necrosis (4 patients without obvious necrosis in the early stage developed to pancreatic necrosis, and 2 patients with the presence of necrosis in the early stage improved). The sensitivity, specificity, and accuracy of 120 kV portal venous phase images for the diagnosis of pancreatic necrosis were 50.0% (3/6), 100% (11/11), and 82.4% (14/17), respectively, and it had a good diagnostic value (AUC=0.856, P=0.018). The sensitivity, specificity, and accuracy of 120 kV portal venous phase images combined with iodine maps created from dual-source DECT for predicting pancreatic necrosis were 100% (6/6), 90.9% (10/11), and 94.1% (16/17), respectively, and this method had good value too (AUC=0.977, P=0.002), which higher than that of 120 kV portal venous phase images (P=0.002). ConclusionsThe 120 kV portal venous phase images combined with iodine maps created from dual-source DECT is helpful to improve subjective judgment in the diagnosis of pancreatic necrosis in the early stage of acute pancreatitis. It also contributes to the display of hypo-perfusion area of the pancreatic parenchyma, and has higher diagnostic value.

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  • Research Hotspots Analysis on Imaging of Pancreatic Neuroendocrine Tumor on Bibliometrics

    ObjectiveTo investigate the hotspots from researches on imaging of pancreatic neuroendocrine tumor in recent five years. MethodsThe bibliographies from research literatures on imaging of pancreatic neuroendocrine tumor from 2010 to 2015 in PubMed database were downloaded. The Bicomb 2.0 bibliographies analysis software was used to count high-frequency of Mesh major topics (MJMEs). SPSS 22.0 statistical software was applied for clustering analysis with MJMEs, then to get the topic hotspots. ResultsA total of 357 literatures were screened out during the years of 2010-2015. The MJMEs which frequency > 13 were 28. Taken the 28 MJMEs into clustering analysis, then three research hotspots were clustered. ConclusionResearches on imaging of the pancreatic neuroendocrine tumor in recent five years are mainly in terms of imaging techniques, a comparative study of pathology and endoscopic ultrasonography-fine needle aspiration, imaging and disease treatment.

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  • The Value of Susceptibility Weighted Imaging in Determining Pathologic Grade of Hepatocellular Carcinoma in Rat Model

    ObjectiveTo evaluate the feasibility of susceptibility weighted imaging (SWI) in determining pathologic grade of hepatocellular carcinoma (HCC) in rat model. MethodsRat models were established first and SWI was performed before killing rats to be examined pathologically. The Edmondson-Steiner grading was used as gold reference for histological grade of HCC. The characters of intratumoral susceptibility signal intensity (ITSS) between lowand high-grade HCCs were compared. The diagnostic value of ITSS in differentiating lowfrom high-grade HCCs was evaluated. ResultsForty eight rat models of HCC were successfully established. Thirty two HCCs (18 low-grade HCCs and 14 highgrade HCCs) were included finally. The incidence of ITSS between two groups was not significant (P=0.113). Characters including component of ITSS (P=0.002) and ratio of ITSS in HCC (P < 0.001) were compared between lowand high-grade HCCs, which were both statistically significant. When score of ratio of ITSS in HCC was assessed as 2 scores, the sensitivity and specificity of ITSS in differentiating lowfrom high-grade HCCs were 85.7% (95% CI:74.9%-96.5%) and 94.4% (95% CI:83.6%-100%) respectively, and the area under roc curve (AUC) was 0.917. ConclusionSWI can evaluate characters of ITSS in HCC and can be an alternative method in grading HCC.

    Release date:2016-10-21 08:55 Export PDF Favorites Scan
  • Bibliometric Analysis of CT or MRI Application in Pancreatic Pseudocyst

    ObjectiveTo explore the current status and tendency of the application of CT or MRI in the pancreatic pseudocyst using bibiometric analysis for relative documents, and provide reference information for the future research of radiology. MethodsBibliographies from research literatures of CT or MRI application in the pancreatic pseudocyst from January 1, 2003 to September 20, 2014 in PubMed database were downloaded.The publication years, journals, the first authors, and the frequency of subject headings and subheadings were extracted from them by Bicomb 2.0 software.The subject headings and subheadings appeared more than five times were intercepted as high frequency ones, then created the high frequency subject headings and subheadings co-occurrence matrix.SPSS 22.0 statistical software was applied for clustering analysis with this matrix, then got the major hotspots. ResultsA total of 342 literatures were screened out.The research of CT or MRI application in the pancreatic pseudocyst increased slowly year by year in recent 10 years, then slowly decreased after 2008 year.The related literatures were published in the 164 journals, in which 16 journals (115 literatures were published) were core area distribution according to the Bradford law.There were 10 authors at least 2 published literatures, in who Bhasin DK in USA published 7 literatures, was the most active researcher in this field.The number of high frequency subject headings and subheadings was 33 and among which 5 research hotspots were clustered. ConclusionResearch hotspots about CT or MRI application in pancreatic pseudocyst mainly focuses on five aspects below:pathology, diagnosis, therapy, complications, and etiology.

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  • Pancreatic Duct Diameter and Pancreatic Gland Thickness Measured Using Preoperative CT Imaging in Predicting Pancreatic Fistula Following Pancreaticoduodenectomy

    ObjectiveTo evaluate the predictive value of pancreatic duct diameter and pancreatic gland thickness measured using preoperative CT imaging on pancreatic fistula(PF)following pancreaticoduodenectomy (PD). MethodsOne hundred and fifty-one patients who underwent PD consecutively from January 2013 to April 2014 were reviewed retrospectively. Associations between the gender, age and the pancreatic duct diameter and pancreatic gland thickness from preoperative CT imaging and PF were analyzed. The diagnostic values of the pancreatic duct diameter and pancreatic gland thickness in patients with PF were evaluate by receiver operating characteristic (ROC) analysis. The reliability analysis was done for the pancreatic duct diameter and pancreatic gland thickness by using the intraclass correlation coefficient (ICC). The Spearman rank correlation analysis was done between the pancreatic duct diameter and pancreatic gland thickness. Results①PF occurred in 46 cases (30.1%).②The gender and age were not associated with PF (Gender: χ2=1.698, P=0.193; Age: χ2=0.016, P=0.900). The pancreatic duct diameter and pancreatic gland thickness were associated with PF (Pancreatic duct diameter: OR=0.275, 95% CI 0.164-0.461, P=0.000; Pancreatic gland thickness: OR=1.319, 95% CI 1.163-1.496, P=0.000).③There was no correlation between the pancreatic duct diameter and the pancreatic gland thickness (rs=-0.120, P=0.145).④The area under curve of ROC was 0.814 (95% CI 0.745-0.883, P < 0.001) for the pancreatic duct diameter in predicting the PF, the sensitivity and specificity was 68.6% and 78.3% respectively when the best critical value was 3.5 mm. The area under curve of ROC was 0.762 (95% CI 0.674-0.849, P < 0.001) for the pancreatic gland thickness in predicting PF, the sensitivity and specificity was 63.0% and 85.7% respectively when the best critical value was 31 mm.⑤The ICC of the pancreatic duct diameter and pancreatic gland thickness was 0.984 and 0.992 respectively by two medical diagnostic measurement. ConclusionPancreatic duct diameter and pancreatic gland thickness measured using preoperative CT imaging might be useful in predicting PF following PD.

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