ABSTRACT
Objective:To investigate the prediction of National Institute of Healthy (NIH) risk stratification of gastrointestinal stromal tumor(GIST) based on clinical ultrasound model, ultrasonographic radiomics model and combined model by oral contrast enhanced ultrasonography.Methods:The clinical and ultrasound imaging data of 204 gastric GIST patients attending Tianjin Medical University Cancer Institute and Hospital from June 2021 to June 2022 were retrospectively analyzed, among whom a total of 101 patients with high and moderate NIH risk stratification GIST confirmed by postoperative pathology were included in the high risk group, and a total of 103 patients with low and extremely low NIH risk stratification GIST were in the low risk group. The ultrasound images of the largest diameter of the GIST were manually segmented by ITK-SNAP software, and Pyradiomics (v3.0.1) module in Python 3.8.7 was applied to extract ultrasonographic radiomics features from the ROI segmented images. The patients were randomly divided into training and validation sets in the ratio of 7∶3. The XGBoost of Sklearn module was applied to construct the clinical ultrasound imaging model, ultrasonographic radiomics model, and combined model. Then the area under ROC curve (AUC), sensitivity, specificity, and accuracy were evaluated; the predictive ability of the three models was compared by Delong test. Calibration Curve was applied to evaluate the model performance, and the clinical Decision Curve Analysis was applied to determine the net benefit to patients.Results:A total of 578 ultrasonographic radiomics features were extracted from ROI, and 8 ultrasonographic radiomics features were finally retained for modeling after regression and dimensionality reduction. Finally, test results showed that AUC, sensitivity, specificity and accuracy of clinical ultrasound imaging model, ultrasonographic radiomics model and combined model were 0.75, 69.3%, 68.9%, 69.1%; 0.87, 79.2%, 81.6%, 80.4%; 0.91, 80.2%, 83.5%, 81.9%, respectively. Delong test showed that the difference of AUC between ultrasonographic radiomics model and clinical ultrasound imaging model was statistically significant ( Z=2.698, P<0.001), and the combined model was significantly better than clinical ultrasound imaging model ( Z=4.062, P<0.001) and ultrasonographic radiomics model ( Z=2.225, P=0.026). Calibration Curve showed the high performance of combined model, and Decision Curve Analysis showed the superior clinical usefulness of combined model. Conclusions:It is feasible to construct an ultrasonographic radiomics model for GIST NIH risk stratification based on oral contrast enhanced ultrasonography images, and the combined model has more advantageous diagnostic performance, which can identify high risk NIH GIST objectively and stably for clinical purposes.
ABSTRACT
Objective To observe the postconditioning cardioprotective effects of atorvastatin (ATV) on ischemia-re?perfusion injury in isolated rat heart, and the role of phosphatidylinositol-3-kinase , protein kinase B(PI3K-Akt), mitochon?drial ATP-sensitive potassium (mito-KATP channel) and mitochondrial permeability transition pore (mPTP) thereof. Meth?ods Healthy male Wistar rats were randomly divided into 9 groups:ischemia reperfusion (I/R) control group, atorvastatin postconditioning (ATV) group, ATV plus PI3K inhibitor LY294002 (ATV+LY294002) group, LY294002 group, ATV plus mi?to-KATP channel inhibitor 5-hydroxydecanoate (ATV+5-HD) group, 5-HD group, ATV plus mPTP inhibitor ATR (ATV+ATR) group, ATR group and ethanol group. Model rats were given 30-min ischemia followed by 120-min reperfusion. The myocardial infarction size, hemodynamic parameters, creatine kinase isoenzyme (CK-MB), lactate dehydrogenase (LDH), nic?otinamide adenine dinucleotide (NAD+) and the expression of myocardial protein kinase B (Akt) and myocardial phospho-pro?tein kinase B (p-Akt) were evaluated. Results Compared with the control group, atorvastatin reduced the myocardial in?farction size, CK-MB and LDH(P<0.05), increased NAD+(P<0.05). There were no significant differences in the myocardi?al infarction size, CK-MB, LDH and NAD+between ATV+LY294002 group, ATV+5-HD group and ATV+ATR group. The hemodynamic parameters were improved in ATV group compared with those in control group. Western blot analysis con? firmed the significant phosphorylation of Akt in ATV group, ATV+5-HD group and ATV+ATR group compared with those of control group. There were no significant differences in the phosphorylation of Akt between ATV +LY294002 group, LY294002 group, ATR group and 5-HD group. Conclusion Atorvastatin postconditioning could attenuate the ischemia-re?perfusion injury through activating the PI3K-Akt, promoting mito-KATP channel opening and inhibiting mPTP opening.
ABSTRACT
45 saliva samples of AIDS patients and 55 saliva samples in normal population were detected by the Surface-enhanced Raman spectroscopy (SERS) system. And the spectrum data were analyzed using the Support Vector Machine (SVM) algorithm, one of the data mining technologies. Statistical analysis showed that two groups were distinguished effectively. This study provided a new research direction of the quick non-invasive testing for AIDS.