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The global spread of COVID-19 seriously endangers human health and even lives. By predicting patients individualized disease development and further performing intervention in time, we may rationalize scarce medical resources and reduce mortality. Based on 1337 multi-stage ([≥]3) high-resolution chest computed tomography (CT) images of 417 infected patients from three centers in the epidemic area, we proposed a random forest + cellular automata (RF+CA) model to forecast voxel-level lesion development of patients with COVID-19. The model showed a promising prediction performance (Dice similarity coefficient [DSC] = 71.1%, Kappa coefficient = 0.612, Figure of Merit [FoM] = 0.257, positional accuracy [PA] = 3.63) on the multicenter dataset. Using this model, multiple driving factors for the development of lesions were determined, such as distance to various interstitials in the lung, distance to the pleura, etc. The driving processes of these driving factors were further dissected and explained in depth from the perspective of pathophysiology, to explore the mechanism of individualized development of COVID-19 disease. The complete codes of the forecast system are available at https://github.com/keyunj/VVForecast_covid19.
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Objective To explore the correlation between arterial iodine fraction ( AIF) obtained with energy spectrum CT and Child-Pugh staging of liver cirrhosis.Methods Retrospectively analyzed the Child-Turcotte-Pugh of hospitalized 80 patients diagnosed as liver cirrhosis (15 cases of Child -A,40 cases of Child -B,and 25 cases of Child-C) and CT examination results.HD750 spectral three-stage CT scanning was conducted in all patients.AIF was calculated with energy spectrum analysis software,and the correlation between AIF and Child-Pugh staging of liver cirrhosis was explored.Results There was no statistically significant difference in the iodine content of hepatic artery and portal vein among different groups(t=1.786,P>0.05).The hepatic artery iodine score pair-wise analysis among different groups showed that the differences were statistically significant(F=30.45,P<0.05). The hepatic artery iodine score was highest in Child-Pugh C group,secondary in Child-Pugh B group and lowest in Child-Pugh A group.AIF and Child-Pugh staging of liver cirrhosis was significantly correlated.Conclusion AIF of liver cirrhosis reveals the state of liver function and is correlated with Child-Pugh staging,thus can be adopted as a supplement in clinical Child-Pugh staging.
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Objective To investigate the effect of allogeneic bone marrow mesenchymal stem cell transplantation on the cardiac structure and function in rats with acute myocardial infarction. Methods Thirty SD rats were randomly divided into blank group, model group, and stem cells group, 10 rats in each group. The model group received left coronary artery ligation to induce acute myocardial infarction, and the stem cells group received myocardial injection of stem cells after coronary artery ligation. After four weeks, cardiac function and heart tissue pathological changes were observed. Results In the model group, left ventricular end-diastolic volume, left ventricular end-systolic volume and end dias-tolic volume were increased, and left ventricular ejection fraction, left ventricular fractional shortening rate and cardiac output were decreased as compared with the normal group and the stem cells group (P < 0. 05). The results of pathologi-cal examination showed that myocardiac fibers dissolved or even disappeared, and fibric proliferation and sear occurred in the model group; in the stem cells group, the arrangement of myocardiae fibers was in disorder and there were a few pro-liferated fibers and scar compared with the normal group. Conclusion Allogeneic bone marrow mesenchymal stem cell transplantation can improve the cardiac structure and function in rat model of acute myocardial infarction.
