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Objective:To investigate the radiation dose and detection efficiency of artificial intelligence (AI) system for solid nodules in chest phantom with different scanning protocols.Methods:A total of 60 simulated nodules with different CT values and diameters were uniformly placed in each lung lobe and lung segment of the anthropomorphic chest phantom. GE Revolution evo CT was used to scan the chest phantom. 64 groups of images with different scanning parameters were collected at the tube voltage of 80, 100, 120, 140 kV, different noise indexes (NI 10-40 with interval 2), and other fixed parameters. The detection result of simulated nodules were recorded on AI software, and the detection rate and false detection rate were calculated, respectively, for different shapes of nodules. The mean volume CT dose index (CTDI vol) and dose length product (DLP) of each scan were recorded. Results:There were no statistically significant differences in the detection rate and false detection rate of spherical nodules and irregular nodules at different tube voltages( P > 0.05), but there were and statistically significant with different noise indices ( F=10.57, 17.77, 9.33, P < 0.001). Different tube voltages had no statistical significance for CTDI vol and DLP ( P > 0.05), while different noise indices had statistical significance for CTDI vol and DLP ( F=59.87, 60.92, P < 0.001). The detection rates of nodules were moderately or weakly correlated with noise indices, CTDI vol and DLP ( r=0.43, 0.56, -0.58, -0.78, P<0.05), but no correlation with tube voltage ( P>0.05). Conclusions:Scanning protocol has an impact on AI detection efficiency of pulmonary nodules. Reasonable scanning parameters should be selected according to different image quality requirements in clinical practice.
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Objective:To prepare a peptide fluorescent probe based on aggregation-induced emission and to investigate its application in the detection of early caries.Methods:Eight aspartate-serine-serine (DSS) were combined with aggregation-induced emission material to prepare peptide fluorescent probes, and an artificial demineralization model was established in vitro. The samples were immersed in the peptide fluorescent probe solution for 1 min, and a fluorescence imaging system was applied to examine the tooth samples and collect images and fluorescence data. Scanning electron microscopy was also applied to observe the phenotype of the teeth, and electron microscopy was applied to detect the calcium-phosphorus ratio on the enamel surface of the teeth. Polarized light microscopy was also applied to observe the enamel area of the teeth. Results:The fluorescence intensity of demineralized teeth was clearly observed to be lower than that of normal teeth in the peptide fluorescent probe-treated area, and the difference was statistically significant ( P < 0.05). The results of scanning electron microscopy showed that the enamel surface of the demineralized group had more irregular pores, while the enamel surface of the undemineralized group was flatter with only some irregular accumulation of flakes. The results of polarized light microscopy showed that a clear birefringence could be observed in the enamel region of normal teeth, while a black area or the disappearance of the birefringence effect accompanied by a partial black dark shadow could be observed in the enamel region of demineralized teeth. Conclusions:An aggregation-induced luminescence-based peptide fluorescent probe was successfully prepared, which can precisely localize the enamel and show some application value in early caries detection.
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Objective:To establish a lectin enzyme-linked immunosorbent assay (lectin-ELISA) for the dection of sialylated fetuin-A and to explore the clinical diagnostic value of sialylated fetuin-A in hepatocellular carcinoma (HCC).Methods:From January 2017 to December 2020, 300 HCC patients and 160 disease controls, including 36 liver cirrhosis subgroups and 124 chronic hepatitis B subgroups, were collected from Shanghai Eastern Hepatobiliary Surgery Hospital. At the same time, 100 healthy subjects were collected as healthy controls. Lectin-ELISA method for detecting sialylated fetuin A was established based on the principle that Sambucus nigra lectin (SNA) can recognize the structure of α-2, 6-linked sialic acid residues. Differences between groups were compared using t-test or analysis of variance. Logistic regression method was used to establish the multi-index joint detection model, and receiver operating characteristic curve (ROC) was used to evaluate the efficacy of single index and joint detection model in the diagnosis of HCC.Results:A lectin-ELISA method for the detection of serum Sia-fetuin A was established. The linear regression coefficient of the system was 0.978 5, and the precision evaluation and interference experiments were in line with the clinical detection requirements. Using this method to detect serum Sia-fetuin A levels in each group, the levels of HCC group, disease control group and healthy control group were 1.362±0.310, 1.199±0.370, 1.086±0.420, respectively, and the three groups decreased in turn. The areas under the curve of Sia-fetuin A, α-fetoprotein, and their combined detection models for differential diagnosis of HCC were 0.790, 0.809, and 0.860, respectively. The diagnostic model had a sensitivity of 79.3% (238/300) and a specificity of 95.0% (247/260). Among the 300 patients in the HCC group, 138 (46%) patients were negative for serum AFP (<20 μg/L), and their serum Sia-fetuin A level was 1.364±0.305. Combining the disease control group and the healthy control group into the non-Cancer group, the serum Sia-fetuin A level was 1.146±0.381. The serum level of Sia-fetuin A in AFP-negative HCC patients was higher than that in non-HCC group ( t=6.134, P<0.001). The areas under the curve of Sia-fetuin A and the combined diagnostic model for the diagnosis of AFP-negative HCC were 0.776 and 0.919, respectively. The combined diagnostic model had a sensitivity of 93.4% (129/138) and a specificity of 77.3% (201/260). Conclusion:Serum Sia-fetuin A and combined determination model can provide a new auxiliary diagnostic index for AFP-negative HCC.
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Objective To explore the value of GALAD model, including gender, age, AFP, AFP-L3 and DCP in diagnosis of primary hepatocellular carcinoma and prediction of microvascular invasion (MVI). Methods Using retrospective study method, 5919 patients with primary hepatocellular carcinoma (HCC) who received radical operation from January 2015 to December 2018 in Eastern Hepatobiliary Surgery Hospital were enrolled into study group. At the same time, 1745 patients with benign liver diseases (BLDs) were enrolled into control group. The concentration of DCP was detected by Lumipulse G1200 automatic immune analyzer, and the concentration of AFP was detected by Cobas e601 automatic immune analyzer. AFP-L3 was detected by affinity adsorption centrifugation. The non-parametric Mann Whitney test was used to compare the difference between two groups. The chi square test was used to compare the rates. The diagnostic value of single serological marker and GALAD model for primary hepatocellular carcinoma was analyzed. The predictive effect of GALAD model on MVI of primary hepatocellular carcinoma was evaluated. Results Compared with single serum marker, the diagnostic value of GALAD model is higher. When the cutoff value is-0.33, the diagnostic sensitivity, specificity and accuracy reach to 91.9％(5440/5919), 86.8％ (1515/1745) and 90.7％ (6955/7664), respectively. The area under the curve can reach 0.960 [95％CI (0.955-0.964)]. Compared with no MVI (MO) group, the value of GALAD model in MVI low-risk group (M1), MVI high-risk group (M2) and MVI (M1+2) were significantly higher (Z values were-12.517,-22.883,-21.655, P<0.05), Galad model predicts MVI (M2) in high risk group, AUC was 0.717 [95％CI (0.701-0.733)] (M0 ratio M2). Conclusion GALAD model has better diagnostic performance in primary hepatocellular carcinoma and has certain predictive value for microvascular invasion.
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Objective@#To explore the value of GALAD model, including gender, age, AFP, AFP-L3 and DCP in diagnosis of primary hepatocellular carcinoma and prediction of microvascular invasion (MVI).@*Methods@#Using retrospective study method, 5 919 patients with primary hepatocellular carcinoma (HCC) who received radical operation from January 2015 to December 2018 in Eastern Hepatobiliary Surgery Hospital were enrolled into study group. At the same time, 1 745 patients with benign liver diseases (BLDs) were enrolled into control group. The concentration of DCP was detected by Lumipulse G1200 automatic immune analyzer, and the concentration of AFP was detected by Cobas e601 automatic immune analyzer. AFP-L3 was detected by affinity adsorption centrifugation. The non-parametric Mann Whitney test was used to compare the difference between two groups. The chi square test was used to compare the rates. The diagnostic value of single serological marker and GALAD model for primary hepatocellular carcinoma was analyzed. The predictive effect of GALAD model on MVI of primary hepatocellular carcinoma was evaluated.@*Results@#Compared with single serum marker, the diagnostic value of GALAD model is higher. When the cutoff value is -0.33, the diagnostic sensitivity, specificity and accuracy reach to 91.9% (5 440/5 919), 86.8% (1 515/1 745) and 90.7% (6 955/7 664), respectively. The area under the curve can reach 0.960 [95%CI (0.955-0.964)]. Compared with no MVI (MO) group, the value of GALAD model in MVI low-risk group (M1), MVI high-risk group (M2) and MVI (M1+2) were significantly higher (Z values were-12.517, -22.883, -21.655, P<0.05), Galad model predicts MVI (M2) in high risk group,AUC was 0.717 [95%CI (0.701-0.733)] (M0 ratio M2).@*Conclusion@#GALAD model has better diagnostic performance in primary hepatocellular carcinoma and has certain predictive value for microvascular invasion.
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The modern medical research has confirmed that liver fibrosis is reversible, but there is no reliable drugs. The traditional Chinese medicine on liver fibrosis treatment has showed some certain advantages, but its basic etiology and pathogenesis and treatment methods have not yet been discussed. This paper summarized recent 5 years of literature about the knowledge and treatment of traditional Chinese medicine for liver fibrosis, in order to explore more appropriate treatment to guide the clinical.