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Aim To explore the mechanism of the natural phenolic compound pterostilbene(PTE)in the protection of liver ischemic/reperfusion. Methods A total of 40 C57 mice were divided into control group,model group,drug delivery group and treatment group and a 70% liver ischemic/reperfusion(ischemic 60 min)model was established,then primary LSECs were isolated by perfusion and digestion. Hepatic structural disruption was observed by HE staining. The ultrastructure of hepatic sinus endothelial cells was observed by transmission electron microscopy(TEM). The structure of LSECs fenestrae was observed by scanning electron microscopy(SEM). The expression level of heme oxygenase 1(HO-1)in LSECs was detected by Western blot. Results HE staining showed that PTE protected against hepatic ischemic injury. TEM observed that PTE had a protective effect on hepatic sinus endothelial cells,and the number of LSECs fenestrae in the blank control group was larger and the number of fenestrae in the liver I/R model group was reduced. The number of LSECs fenestrae in the liver I/R model group treated with PTE increased compared with the untreated liver I/R model group. Western blot result showed that PTE was able to induce HO-1 expression in LSECs. Conclusions PTE alleviates oxidative damage of endothelial cells in mouse hepatic sinus by inducing HO-1expression,and protects the liver from ischemia/reperfusion injury.
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Medical studies have found that tumor mutation burden (TMB) is positively correlated with the efficacy of immunotherapy for non-small cell lung cancer (NSCLC), and TMB value can be used to predict the efficacy of targeted therapy and chemotherapy. However, the calculation of TMB value mainly depends on the whole exon sequencing (WES) technology, which usually costs too much time and expenses. To deal with above problem, this paper studies the correlation between TMB and slice images by taking advantage of digital pathological slices commonly used in clinic and then predicts the patient TMB level accordingly. This paper proposes a deep learning model (RCA-MSAG) based on residual coordinate attention (RCA) structure and combined with multi-scale attention guidance (MSAG) module. The model takes ResNet-50 as the basic model and integrates coordinate attention (CA) into bottleneck module to capture the direction-aware and position-sensitive information, which makes the model able to locate and identify the interesting positions more accurately. And then, MSAG module is embedded into the network, which makes the model able to extract the deep features of lung cancer pathological sections and the interactive information between channels. The cancer genome map (TCGA) open dataset is adopted in the experiment, which consists of 200 pathological sections of lung adenocarcinoma, including 80 data samples with high TMB value, 77 data samples with medium TMB value and 43 data samples with low TMB value. Experimental results demonstrate that the accuracy, precision, recall and F1 score of the proposed model are 96.2%, 96.4%, 96.2% and 96.3%, respectively, which are superior to the existing mainstream deep learning models. The model proposed in this paper can promote clinical auxiliary diagnosis and has certain theoretical guiding significance for TMB prediction.
Sujets)
Humains , Tumeurs du poumon/anatomopathologie , Carcinome pulmonaire non à petites cellules/génétique , Mutation , Adénocarcinome pulmonaire/génétique , Marqueurs biologiques tumoraux/génétiqueRésumé
Objective:To investigate the clinical value of contrast-enhanced ultrasound and gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid-enhanced magnetic resonance imaging (Gd-EOB-DTPA MRI) in the diagnosis of hepatocellular carcinoma (HCC).Methods:The clinically diagnostic test was conducted. The clinicopathological data of 274 lesions in 250 patients with liver neoplasms who were admitted to the First Hospital Affiliated to Army Medical University from January 2017 to December 2018 were collected. There were 204 males and 46 females, aged (52±11)years, with a range from 22 to 78 years. Patients underwent contrast-enhanced ultrasound and Gd-EOB-DTPA MRI, and they received surgical resection or biopsy within one month. Images was read and analyzed by two senior radiologists for diagnosis. Observation indicators: (1) imaging features of contrast-enhanced ultrasound and Gd-EOB-DTPA MRI, including ① imaging features of contrast-enhanced ultrasound, ② imaging features of Gd-EOB-DTPA MRI, ③ enhanced imaging manifestation in different phases of 223 HCC lesions; (2) dignostic performance of contrast-enhanced ultrasound, Gd-EOB-DTPA MRI, or the combined examinations for HCC diagnosis, including ① sensitivity, specificity and accuracy rate of the three methods for HCC diagnosis and ② sensitivity, specificity and accuracy rate of the three methods for HCC diagnosis in lesions with different diameters. Count data were represented as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. With the pathological examination as the golden criteria of diagnosis, the sensitivity, specificity and accuracy rate of the contrast-enhanced ultrasound, Gd-EOB-DTPA MRI, or the combined examinations for HCC diagnosis were calculated.Results:(1) Imaging features of contrast-enhanced ultrasound and Gd-EOB-DTPA MRI. ① Imaging features of contrast-enhanced ultrasound: of the 223 HCC lesions on contrast-enhanced ultrasound, 167 lesions were accorded with fast in fast out of HCC, 7 were missed diagnosed and 49 were misdiagnosed. Of the 51 non-HCC lesions on contrast-enhanced ultrasound, 7 lesions were accorded with fast in fast out, including 3 of combined hepatocellular-cholangiocarcinoma, 2 of intrahepatic cholangiocarcinoma, 1 of neuroendocrine tumor, 1 of inflammatory granuloma, 44 lesions were no fast in fast out. ② Imaging features of Gd-EOB-DTPA MRI: of the 223 HCC lesions on Gd-EOB-DTPA MRI, 178 lesions were accorded with fast in fast out of HCC, 1 was missed diagnosed and 44 were misdiagnosed. Of the 51 non-HCC lesions on Gd-EOB-DTPA MRI, 5 lesions were accorded with fast in fast out, inlcuding 2 of intrahepatic cholangiocarcinoma, 1 of combined hepatocellular-cholangiocarcinoma, 1 of neuroendocrine tumor, 1 of inflammatory granuloma, 46 lesions were no fast in fast out. ③ Enhanced imaging manifestation in different phases of 223 HCC lesions. In arterial phase, 92.83%(207/223) of the lesions displayed hyper-enhanced on contrast-enhanced ultrasound, and 80.72%(180/223) of the lesions displayed hyper-enhanced on Gd-EOB-DTPA MRI, showing a significant difference ( χ2=14.240, P<0.05). In portal vein phase or late phase, 78.48%(175/223) of the lesions displayed hypo-enhanced on contrast-enhanced ultrasound, and 96.41%(215/223) of the lesions displayed hypo-enhanced on Gd-EOB-DTPA MRI, showing a significant difference ( χ2=32.674, P<0.05). On Gd-EOB-DTPA MRI, 96.41%(215/223) of the lesions displayed low signals in portal-vein phase or late phase, and 98.21%(219/223) of the lesions displayed low signals in hepatobiliary phase, showing no significant difference ( χ2=1.370, P>0.05). (2) Dignostic performance of contrast-enhanced ultrasound, Gd-EOB-DTPA MRI, or the combined examinations for HCC diagnosis. ① Sensitivity, specificity and accuracy rate of the three methods for HCC diagnosis: the sensitivities of contrast-enhanced ultrasound, Gd-EOB-DTPA MRI, or the combined examinations for HCC diagnosis were 74.89%(167/223), 79.82%(178/223), 94.62%(211/223), respectively. The specificities of contrast-enhanced ultrasound, Gd-EOB-DTPA MRI, or the combined examinations for HCC diagnosis were 86.27%(44/51), 90.20%(46/51), 80.39%(41/51). The accuracy rates of contrast-enhanced ultrasound, Gd-EOB-DTPA MRI, or the combined examinations for HCC diagnosis were 77.01%(211/274), 81.75%(224/274), 91.97%(252/274). There were significant differences in the sensitivity and accuracy rate among the three methods ( χ2=33.499, 23.345, P<0.05). There was no significant difference in the specificity among the three methods ( χ2=2.017, P>0.05). ② Sensitivity, specificity and accuracy rate of the three methods for HCC diagnosis in lesions with different diameters: 128 of 274 lesions had the maximun diameter>3 cm and ≤5 cm, 92 lesions had the maximun diameter >2 cm and ≤3 cm, 54 lesions had the maximun diameter≤ 2 cm. The sensitivities of contrast-enhanced ultrasound for HCC diagnosis in lesions with the maximun diameter>3 cm and ≤5 cm, >2 cm and ≤3 cm, ≤2 cm were 81.19%(82/101), 76.92%(60/78), 56.82%(25/44), the specificities were 92.59%(25/27), 71.43%(10/14), 90.00%(9/10), and the accuracy rates were 83.59%(107/128), 76.09%(70/92), 62.96%(34/54), respectively. The sensitivities of Gd-EOB-DTPA MRI for HCC diagnosis in lesions with the maximun diameter>3 cm and ≤5 cm, >2 cm and ≤3 cm, ≤2 cm were 83.17%(84/101), 79.49%(62/78), 72.73%(32/44), the specificities were 96.30%(26/27), 85.71%(12/14), 80.00%(8/10), and the accuracy rates were 85.94%(110/128), 80.43%(74/92), 74.07%(40/54), respectively. The sensitivities of contrast-enhanced ultrasound combined with Gd-EOB-DTPA MRI for HCC diagnosis in lesions with the maximun diameter>3 cm and ≤5 cm, >2 cm and ≤3 cm, ≤2 cm were 95.05%(96/101), 96.15%(75/78), 90.91%(40/44), the specificities were 92.59%(25/27), 57.14%(8/14), 80.00%(8/10), and the accuracy rates were 94.53%(121/128), 90.22%(83/92), 88.89%(48/54), respectively. There were significant differences in the sensitivities for HCC diagnosis in lesions with the maximun diameter>3 cm and ≤5 cm, >2 cm and ≤3 cm, ≤2 cm among the three methods ( χ2=9.703, 12.777, 13.142, P<0.05). There were also significant differences in the accuracy rates ( χ2=8.051, 6.600, 9.826, P<0.05). There was no significant difference in the specificies ( P>0.05). Conclusions:There was no significant difference in the dignostic performance for HCC diagnosis between contrast-enhanced ultrasound and Gd-EOB-DTPA MRI, and the combination of contrast-enhanced ultrasound and Gd-EOB-DTPA MRI can improve the diagnostic sensitivity and accuracy rate of HCC.
Résumé
Objective To probe into the present family bed workloads at community health centers in Shanghai,for bettering the service mode.Methods 41 community health centers in 17 districts or counties in Shanghai were randomly sampled with questionnaires,to learn the profile of the family beds and analyze the workloads provided by the institutions from 2010 to 2012.Results For the 41 institutions surveyed,patients aged 60 or above accounted for 95.07% of the total patients,of whom the seniors over age 80 accounted for 51.00%; 3-year family bed setup rate is 4.45‰,5.09‰ and 5.51‰ respectively;the family bed checkup interval is 6.26 days,6.08 days and 5.84 days respectively.The average monthly payment from medical insurance per person is 441.86 yuan in 2010,433.41 in 2011,and 401.26 in 2012.Diseases makeup:Cardiovascular diseases accounting for 51.16 %of the total,stroke patients for 31.02 %,chronic bronchitis for 4.81%,and cancer patients for 1.10%.Among those patients withdrawn from family beds,86.54% were cured,steady plus improvements.Conclusion Further improvement of the family bed service for better elderly chronic care management; preferential policies to further enhance the family bed service capabilities; emphasis of internal management to continuously improve the social benefits.