ABSTRACT
Objective:To investigate the value of CT radiomic model based on analysis of primary gastric cancer and the adipose tissue outside the gastric wall beside cancer in differentiating stage T1-2 from stage T3-4 gastric cancer.Methods:This study was a case-control study. Totally 465 patients with gastric cancer treated in Affiliated People′s Hospital of Jiangsu University from December 2011 to December 2019 were retrospectively collected. According to postoperative pathology, they were divided into 2 groups, one with 150 cases of T1-2 tumors and another with 315 cases of T3-4 tumors. The cases were divided into a training set (326 cases) and a test set (139 cases) by stratified sampling method at 7∶3. There were 104 cases of T1-2 stage and 222 cases of T3-4 stage in the training set, 46 cases of T1-2 stage and 93 cases of T3-4 stage in the test set. The axial CT images in the venous phase during one week before surgery were selected to delineate the region of interest (ROI) at the primary lesion and the extramural gastric adipose tissue adjacent to the cancer areas. The radiomic features of the ROIs were extracted by Pyradiomics software. The least absolute shrinkage and selection operator was used to screen features related to T stage to establish the radiomic models of primary gastric cancer and the adipose tissue outside the gastric wall beside cancer. Independent sample t test or χ2 test were used to compare the differences in clinical features between T1-2 and T3-4 patients in the training set, and the features with statistical significance were combined to establish a clinical model. Two radiomic signatures and clinical features were combined to construct a clinical-radiomics model and generate a nomogram. The area under the receiver operating characteristic curve (AUC) was used to evaluate the efficacy of each model in differentiating stage T1-2 from stage T3-4 gastric cancer. The calibration curve was used to evaluate the consistency between the T stage predicted by the nomogram and the actual T stage of gastric cancer. And the decision curve analysis was used to evaluate the clinical net benefit of treatment guided by the nomogram and by the clinical model. Results:There were significant differences in CT-T stage and CT-N stage between T1-2 and T3-4 patients in the training set ( χ2=10.59, 15.92, P=0.014, 0.001) and the clinical model was established. After screening and dimensionality reduction, the 5 features from primary gastric cancer and the 6 features from the adipose tissue outside the gastric wall beside cancer established the radiomic models respectively. In the training set and the test set, the AUC values of the primary gastric cancer radiomic model were 0.864 (95% CI 0.820-0.908) and 0.836 (95% CI 0.762-0.910), and the adipose tissue outside the gastric wall beside cancer radiomic model were 0.782 (95% CI 0.731-0.833) and 0.784 (95% CI 0.702-0.866). The AUC values of the clinical model were 0.761 (95% CI 0.705-0.817) and 0.758 (95% CI 0.671-0.845), and the nomogram were 0.876 (95% CI 0.835-0.917) and 0.851 (95% CI 0.781-0.921). The calibration curve reflected that there was a high consistency between the T stage predicted by the nomogram and the actual T stage in the training set ( χ2=1.70, P=0.989). And the decision curve showed that at the risk threshold 0.01-0.74, a higher clinical net benefit could be obtained by using a nomogram to guide treatment. Conclusions:The CT radiomics features of primary gastric cancer lesions and the adipose tissue outside the gastric wall beside cancer can effectively distinguish T1-2 from T3-4 gastric cancer, and the combination of CT radiomic features and clinical features can further improve the prediction accuracy.
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Objective TostudythevalueofDCE-MRItechniqueindifferentialdiagnosisofthyroidadenoma(TA)andpapillary thyroidcarcinoma(PTC).Methods 71thyroidnoduleswereanalyzedretrospectively,includingTA (28cases)andPTC (43cases), whichwereconfirmedbyhistologyafterMRIscanning.AfterconventionalMRIandDCE-MRIwereperformed,TICswereobtained. ThediagnosticindicatorsofPTCwithDCE-MRItechniquewereanalyzed,includingthesensitivity,specificity,accuracy,positivepredictive valueandnegativepredictivevalue.Results 23TAshowedⅠcurve,41PTCshowedⅢcurve,5TAand2PTCshowedⅡcurve, withstatisticallysignificantdifference(P＝0.000).Thesensitivity,specificity,accuracy,positivepredictivevalueandnegativepredictive valuewere95.3%,82.1%,90.1%,89.1%and92.0%,respectively.Conclusion DCE-MRItechniquehelpstoidentifyTAandPTC, andTICcanbeamorecomprehensivemethodtoanalyzemicrovascularhemodynamicprocessesofTAandPTC.
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Objective To investigate the correlation between neutrophil-lymphocyte ratio (NLR) and disease activity of systemic lupus erythematosus (SLE),and the changes of NLR in different organ involvement of SLE patients.Methods A total of 155 SLE patients and 135 healthy controls from the Rheumatology Department of Xiangya Hospital were enrolled in this study from 2010 to 2018.Patients with SLE were divided into lupus nephritis group (LN group) and non-lupus nephritis group (non-LN group),serositis group and non-serositis group,according to whether they had kidney involvement or serositis.According to the SLE disease activity index 2000(SLEDAI-2000),the patients were divided into mild to moderate disease activity group (SLEDAI score ＜ 15) and severe disease activity group (SLEDAI score≥ 15).The NLR values of the above groups were compared.Spearman's correlation analysis was used to analyze the correlation between NLR and SLE patients' laboratory indexes.Multiple linear regression model was used to analyze the relationship between NLR and SLE disease activity.Receiver operating characteristic curve (ROC) was used to evaluate the value of NLR in SLE diagnosis and activity assessment.Results (1)The NLR value of SLE patients was significantly higher than that of healthy control group,and the difference was statistically significant (P ＜ 0.01).(2)The NLR value of SLE patients in the LN group was higher than that in the non-LN group,and the NLR value of SLE patients with serositis was higher than that in the group without serositis,with statistically significant differences (both P ＜ 0.05).(3)The NLR value of SLE patients in the severe disease activity group was higher than that in the mild and moderate disease activity group,and the difference was statistically significant (P ＜ 0.01).(4)NLR of SLE patients was positively correlated with CRP (rs=0.188,P=0.019),SLEDAI score (rs=0.264,P=0.001),and negatively correlated with total serum protein (rs=-0.250,P=0.002) and serum albumin (rs=-0.329,P ＜ 0.001),respectively.(5) Multiple linear regression showed that NLR was independently associated with SLE disease activity (B=0.351,95％CI 0.012-0.690,t=2.047,P=0.042).(6) According to ROC curve,the optimal cut-off value of NLR for SLE diagnosis was 2.17 (sensitivity 60.0％,specificity 83.1％,AUC=0.744),and the best cut-off value for predicting the activity of severe disease activity in SLE patients was 3.28 (sensitivity 58.5％,specificity 78.1％,AUC=0.700).Conclusion NLR is closely related to renal involvement,serositis and disease activity in SLE patients,which indicates that NLR,as a new inflammatory indicator,is of great significance for the assessment of SLE disease activity and organ involvement.
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Objective To evaluate the application of exponential apparent diffusion coefficient (eADC)value in differentiating benign from malignant thyroid nodules.Methods Routine MR sequences and axial diffusion weighted imaging (DWI)sequences with different b-values(0, 300,500,800 s/mm2)were performed in 46 patients with 51 histopathologically confirmed thyroid nodules,including 35 malignant nodules and 1 6 benign nodules.The eADC values of each thyroid nodules’solid component with different b-values were measured and assessed by independent samples t test.Receiver operating characteristic (ROC)curves were drawn and used to determine the diagnostic threshold and assess the screen test.Results The eADC values of the malignant nodules were higher than that of benign nodules (P<0.05)in all of the three different b-values.The eADC values of the malignant nodules and the benign nodules were 0.618±0.080 and 0.492±0.071 (b=300 s/mm2),0.520±0.104 and 0.371±0.077 (b=500 s/mm2)and 0.407±0.114 and 0.286±0.097 (b=800 s/mm2)respectively. According to the ROC curve,the area under the curve(AUC)was 0.883,0.890 and 0.824 when the b-value was set as 300,500 and 800 s/mm2respectively.When the b-value was set as 500 s/mm2and the diagnostic threshold was 0.454,the sensitivity,specificity, positive predictive value,negative predictive value and Youden index were 74.3%,93.8%,96.3%,60.9% and 0.68,respectively.Conclusion The eADC value is helpful in differentiating benign from malignant thyroid nodules,and the best result can be obtained by using DWI with b-value of 500 s/mm2.
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Objective To discuss the value of CR and CT to diagnose early ankylosing spondylitis. Methods Clinical data and the signs of CR and CT of eighteen cases which were diagnosed as early ankylosing spondylitis were analyzed. Results Both CR and CT imaging could show the diseased region, morphous change, and the extent of diseased joint. CT imaging could show the tiny change of diseased articular facet. Conclusion CR plain is the first choice to diagnose early ankylosing spondylitis. As doubtful case, CR combination with CT scan can raise the accuracy rate of diagnosis to early ankylosing spondylitis.