ABSTRACT
Objective:To investigate the value of multimodal MRI radiomics in the preoperative prediction of Fuhrman nuclear grade of clear cell renal cell carcinoma (ccRCC).Methods:A total of 129 patients with ccRCC confirmed by pathology from April 2011 to April 2021 in Third Affiliated Hospital of Soochow University were collected, and the imaging and clinicopathological data were retrospectively analyzed. All patients were divided into training set ( n=90) and validation set ( n=39) at the ratio of 7∶3 using random indicator method. According to the postoperative pathological results, Fuhrman grades Ⅰ and Ⅱ were included in the low grade group (96 cases, 65 cases in the training set and 31 cases in the validation set), and Fuhrman grades Ⅲ and Ⅳ were included in the high grade group (33 cases, 25 cases in the training set and 8 cases in the validation set). Two radiologists manually delineated regions of interest (ROI) on T 1WI, T 2WI, Dixon-water, Dixon-fat, susceptibility weighted imaging (SWI), blood oxygen level dependent (BOLD) images, and 396 texture features were extracted from each ROI. In the training set, intra-class correlation coefficient, Mann-Whitney U test, minimum redundancy maximum relevance and least absolute shrinkage and selection operator method were used to reduce the dimension of features to obtain the best texture features. The logistic regression was used to develop the multimodal radiomics model, and the receiver operating characteristic (ROC) curve was used to evaluate the effectiveness of the model in identifying high and low-grade ccRCC in training set and validation set. Results:Four SWI, one T 2WI and one BOLD texture features were selected for modeling. The areas under the ROC curve (95%CI) of the multimodal radiomics model for identifying high and low grade ccRCC in the training and validation sets were 0.859 (0.770-0.923) and 0.883 (0.740-0.964), with the specificity at 95.4% and 87.1%, the sensitivity at 68.0% and 87.5%, the accuracy at 87.8% and 87.2%, respectively. Conclusion:The multimodal MRI radiomics model based on T 2WI, SWI and BOLD images has high effectiveness in preoperative predicting Fuhrman nuclear grade of ccRCC.
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Objective To investigate the performance of Injury Severity Score (ISS), New Injury Severity Score (NISS), Revised Trauma Score (RTS), CRAMS (circulation, respiration, abdomen, motor, speech)score and combined score on the trauma response of trauma patients. Methods Data of acute trauma patients from March 2014 to February 2015 were chosen as the research object. The clinical information at admission was recorded, and the ISS, NISS, RTS, CRAMS and acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ) were calculated. The optimal cut-off values were looked for the comparability between the four scores and APACHE Ⅱ score were figured out by ROC curve. The joint diagnosis combined physiological score with anatomical score in overlap mode was used for comparing sensitivity and specificity. Results There was a total of 1 020 patients included in the study. APACHEⅡscore ≥20 was found 711 cases, and APACHEⅡ<20 was 309 patients, and there were significant statistic differences in ISS score (U=11.347, P<0.05),NISS score (U=11.969, P<0.05),CRAMS score (U=8.194, P < 0.05) and RTS score (U=8.357, P < 0.05) between two groups. It was showed by ROC curve analysis that the area under the ROC curve (AUC) of ISS, NISS, CRAMS and RTS was 0.907, 0.941, 0.768 and 0.803 (all P<0.05). Compared with the trauma score, combined scores could increase the sensitivity of the prompt assessment of trauma severity in trauma patients, but the combined scores may also reduce the specificity. Conclusions Of these four scoring systems, NISS has the best correlation with APACHEⅡ. Compared with the trauma score, combined scores can increase the sensitivity of the prompt assessment of trauma severity in trauma patients, but the combined scores may also reduce the specificity.
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Objective To investigate the level of urinary protein in type 2 diabetic patients with different glucose excursion and investigation the effect of the glucose excursion on early diabetic nephropathy.Methods Fifty-six type 2 diabetes patients were divided into two groups by the level of glycosylated hemoglobin(HbA1c),good glycemic.Patients in control group with HbA1c ＜ 7.0％ and patients in poor glycemic control group with HbA1c ＜ 7.0％.Microalbuminuria,urine transferring (UTRF),α1-microglobulin (α1-MG) and 32-microglobulin(32-MG) were measured.All the patients were monitored using the continuous glucose monitoring system (CGMS),and mean amplitude of glucose excursions (MAGE) were analyzed.Patients were divided into two groups by MAGE,one group's MAGE was lower than 3.9 mmol/L,and another group's MAGE was higher than 3.9 mmol/L.Urinary proteins were measured and analyzed in the two groups.Results In the poor glycemic control group,the levels of microalbuminuria,UTRF and albunin/ creatinine(A/C) rate were (81.28 ±44.13) mg/L,(4.54 ± 1.54) mg/L and (22.17 ± 14.52) mg/mmol significantly higher than that in the good glycemic control group((21.63 ± 10.16) mg/L,(2.48 ±0.29) mg/L and (2.05 ± 0.76) mg/mmol; t =4.758,5.360,4.805 ; P ＜ 0.05).Fasting C peptide in the poor glycemic control group was (1.01 ± 0.13) ng/ml,significant lower than that in the good glycemic control group ((1.51 ± 0.21) μg/L;t =4.826;P ＜0.05).The levels of A/C rate,α1-MG and β2-MG in the group with MAGE above 3.9 mmol/L significantly higher than those in the group with MAGE below 3.9 mmol/L(t =4.358,8.641,12.702;P ＜ 0.05).Conclusion Both persistent hyperglycemia and blood glucose variability could influent diabetic nephropathy.