1.Improved effect of image reconstruction algorithm on the basis of deep learning for automatic segmentation of ultralow dose CT on airway of children
Teng LU ; Yun PENG ; Haoyan LI ; Hongwei TIAN ; Yaoyao SONG ; Jihang SUN
China Medical Equipment 2025;22(7):25-29
Objective:To evaluate whether the reconstructed image on the basis of deep learning(DL)can improve the success rate and display quality of automatic segmentation of computed tomography(CT)with ultralow dose for chest of children on airway.Methods:The clinical data of 41 consecutive cases who adopted ultralow dose CT to underwent reexamination on chest at Beijing Children's Hospital,Capital Medical University from February 2020 to September 2020 were selected,whose average age was(4.43±1.61 years).The scan protocol of ultralow dose CT was(0.05 mGy).The reconstructed images included 6 groups,which were respectively filtered reflection projection(FBP)image with 0.625 mm thickness,50%adaptive iterative recombination(ASIR-V)images,100%ASIR-V images,low energy DL(DL-L),medium energy DL(DL-M),and high energy DL(DL-H).The automatically segmentation software was used to conduct automatically segmentation for airway,and the success rate of automatic segmentation was recorded.For images that were successful segmented,a 5-point scale was adopted to subjectively evaluate the displayed quality for airway(5 point is the best).In addition,the CT values and noise values of the images of 6 groups for airway were objectively measured.Results:The success rate of automatic segmentation of DL-H image was the highest(60.98%),and that of the 100%ASIR-V was the lowest(39.02%).The subjective score of DL-H image of the automatic segmentation was the highest(4.06±0.55)point,and that of 100%ASIR-V was the lowest(2.44±0.76)point.DL-H can display more fine and small airways.The noise values of objective measurement showed that both of DL-H and 100%ASIR-V had the lowest noise value,and there was no statistical difference in that between them.Conclusion:The use of high energy deep learning iterative reconstruction(DLIR)algorithm can improve the success rate and display effect of automatic segmentation of ultralow dose CT for chest of children on airway,and DLIR is contribute to improve the accuracy of automatic segmentation algorithm of artificial intelligence.
2.Effects of TGR5 on liver lipid metabolism and bile acid synthesis in dairy cows with fatty liver
Yaqi CHANG ; Tianjiao YANG ; Yunfei LUAN ; Jihang LI ; Zexin ZHANG ; Bingbing ZHANG ; Chuang XU ; Wei YANG
Chinese Journal of Veterinary Science 2025;45(10):2282-2291
To explore the impacts of TGR5 on liver lipid metabolism and bile acid synthesis in dairy cows with fatty liver.Liver tissues of healthy cows and cows with fatty liver were collected through puncture technique.The protein and mRNA expressions of lipid synthesis-related factors ACC1,FAS,SREBF1,lipid oxidation factor CPT1A,and bile acid synthesis-related factors CYP8B1,CYP7B1,CYP27A1 were detected by Western blot and fluorescent quantitative PCR.Moreover,the mRNA levels of CYP7B1 were determined.Primary hepatocytes of 1-day-old calves were extracted and cultured in vitro,and four treatment groups were established,namely Control,NEFA,INT-777,and the INT-777+NEFA group.The concentration of NEFA group was 1.2 mmol/L,the con-centration of INT-777 group was 1 μmol/L,and the concentration of INT-777+NEFA group was 1.2 mmol/L NEFA and 1 μmol/L INT-777 simultaneously.After 12 h of stimulation,cells were collected,and the protein and mRNA levels of ACC1,FAS,SREBF1,CPT1A,CYP8B1,CYP7A1,CYP27A1,and the mRNA levels of CYP7B1 were detected by Western blot and fluorescent quanti-tative PCR.The content of lipid droplets and TG in the cells were detected by flow cytometry and kit.The results demonstrated that compared with healthy cows,the protein and mRNA expressions of ACC1,FAS,SREBF1,CYP8B1,and CYP7A1 in the liver tissues of fatty liver cows were upreg-ulated,while the protein and mRNA levels of CPT1 A,CYP27A1,TGR5,and the mRNA levels of CYP7B1 were downregulated.In vitro experiments revealed that compared with the Control group,the protein and mRNA levels of ACC1,FAS,SREBF1,CYP8B1,and CYP7A1 in the NEFA group were upregulated,and the protein and mRNA levels of CPT1A,CYP27A1,and TGR5,as well as the mRNA level of CYP7B1,were downregulated.Compared with the NEFA group,the protein and mRNA levels of ACC1,FAS,SREBF1,CYP8B1,CYP7A1 were downregulated in the INT-777+NEFA group,while the protein and mRNA levels of CPT1A CYP27A1,and TGR5 as well as the mRNA level of CYP7B1,were upregulated.The results of flow cytometry and the kit indicated that the lipid droplets and TG content in the NEFA group were upregulated compared with the Control group,while the lipid droplets and TG content in the INT-777+NEFA group were downregulated compared with the NEFA group.The above results suggested that the addition of TGR5 agonist promoted the expression of TGR5 and ameliorated the abnormal lipid metabolism and bile acid synthesis in the liver of dairy cows with fatty liver.
3.Effect of caprylic acid on lipid accumulation in primary hepatocytes of calves
Tianjiao YANG ; Yaqi CHANG ; Yunfei LUAN ; Jihang LI ; Zexin ZHANG ; Chuang XU ; Bingbing ZHANG ; Wei YANG
Chinese Journal of Veterinary Science 2025;45(7):1485-1492
The purpose of this study was to investigate the effect of medium-chain fatty acids(MC-FAs)caprylic acid(C8∶0)on lipid metabolism of calf hepatocytes.Primary calf hepatocytes were extracted and cultured,and 1.2 mmol/L nonesterified fatty acids(NEFAs)were added to the hep-atocytes to construct a model of hepatic lipid deposition in primary calf hepatocytes,Five process-ing groups have been set up:Control group(Ctrl),NEFA added group(NEFA),C8∶0 1.2 mmol/L treatment group(C8∶0 1.2),NEFA+C8∶0 0.2 mmol/L treatment group(NEFA+C8∶00.2),C8∶0 0.2 mmol/L treatment group(C8∶0 0.2).Stimulate calf liver cells for 12 hours,and the levels of triglyceride(TG),lipid oxidation(MDA),hydrogen peroxide(H2O2)and total SOD activity were detected by biochemical kit,and FAS,a protein related to lipid synthesis,was detec-ted by Western blot.The results showed that compared with the control group,the concentrations of TG,MDA and H2O2 in NEFA group increased significantly(P<0.01),and the activity of SOD decreased significantly(P<0.05).The protein expression levels of FAS,ACC1,DGAT2 and SREBP-1C were significantly up-regulated(P<0.01),while the expression level of CPT1A was significantly down-regulated(P<0.01).Compared with the NEFA group,the protein expression levels of SREBP-1C and DGAT2 in the NEFA+C8∶0(concentration 0.2 mmol/L)group de-creased significantly(P<0.05),and the protein expression level of fatty acid β-oxidation related molecule CPT1A was slightly higher than that in the NEFA group,but there was no statistical sig-nificance(P>0.05),and the MDA level in hepatocytes decreased significantly(P<0.05).In a word,the results of this study show that C8∶0 has antioxidant effect,which can effectively reduce the liver injury caused by oxidative stress,regulate the expression of liver fat gene,and then pro-tect liver injury.
4.Effects of TGR5 on liver lipid metabolism and bile acid synthesis in dairy cows with fatty liver
Yaqi CHANG ; Tianjiao YANG ; Yunfei LUAN ; Jihang LI ; Zexin ZHANG ; Bingbing ZHANG ; Chuang XU ; Wei YANG
Chinese Journal of Veterinary Science 2025;45(10):2282-2291
To explore the impacts of TGR5 on liver lipid metabolism and bile acid synthesis in dairy cows with fatty liver.Liver tissues of healthy cows and cows with fatty liver were collected through puncture technique.The protein and mRNA expressions of lipid synthesis-related factors ACC1,FAS,SREBF1,lipid oxidation factor CPT1A,and bile acid synthesis-related factors CYP8B1,CYP7B1,CYP27A1 were detected by Western blot and fluorescent quantitative PCR.Moreover,the mRNA levels of CYP7B1 were determined.Primary hepatocytes of 1-day-old calves were extracted and cultured in vitro,and four treatment groups were established,namely Control,NEFA,INT-777,and the INT-777+NEFA group.The concentration of NEFA group was 1.2 mmol/L,the con-centration of INT-777 group was 1 μmol/L,and the concentration of INT-777+NEFA group was 1.2 mmol/L NEFA and 1 μmol/L INT-777 simultaneously.After 12 h of stimulation,cells were collected,and the protein and mRNA levels of ACC1,FAS,SREBF1,CPT1A,CYP8B1,CYP7A1,CYP27A1,and the mRNA levels of CYP7B1 were detected by Western blot and fluorescent quanti-tative PCR.The content of lipid droplets and TG in the cells were detected by flow cytometry and kit.The results demonstrated that compared with healthy cows,the protein and mRNA expressions of ACC1,FAS,SREBF1,CYP8B1,and CYP7A1 in the liver tissues of fatty liver cows were upreg-ulated,while the protein and mRNA levels of CPT1 A,CYP27A1,TGR5,and the mRNA levels of CYP7B1 were downregulated.In vitro experiments revealed that compared with the Control group,the protein and mRNA levels of ACC1,FAS,SREBF1,CYP8B1,and CYP7A1 in the NEFA group were upregulated,and the protein and mRNA levels of CPT1A,CYP27A1,and TGR5,as well as the mRNA level of CYP7B1,were downregulated.Compared with the NEFA group,the protein and mRNA levels of ACC1,FAS,SREBF1,CYP8B1,CYP7A1 were downregulated in the INT-777+NEFA group,while the protein and mRNA levels of CPT1A CYP27A1,and TGR5 as well as the mRNA level of CYP7B1,were upregulated.The results of flow cytometry and the kit indicated that the lipid droplets and TG content in the NEFA group were upregulated compared with the Control group,while the lipid droplets and TG content in the INT-777+NEFA group were downregulated compared with the NEFA group.The above results suggested that the addition of TGR5 agonist promoted the expression of TGR5 and ameliorated the abnormal lipid metabolism and bile acid synthesis in the liver of dairy cows with fatty liver.
5.Effect of caprylic acid on lipid accumulation in primary hepatocytes of calves
Tianjiao YANG ; Yaqi CHANG ; Yunfei LUAN ; Jihang LI ; Zexin ZHANG ; Chuang XU ; Bingbing ZHANG ; Wei YANG
Chinese Journal of Veterinary Science 2025;45(7):1485-1492
The purpose of this study was to investigate the effect of medium-chain fatty acids(MC-FAs)caprylic acid(C8∶0)on lipid metabolism of calf hepatocytes.Primary calf hepatocytes were extracted and cultured,and 1.2 mmol/L nonesterified fatty acids(NEFAs)were added to the hep-atocytes to construct a model of hepatic lipid deposition in primary calf hepatocytes,Five process-ing groups have been set up:Control group(Ctrl),NEFA added group(NEFA),C8∶0 1.2 mmol/L treatment group(C8∶0 1.2),NEFA+C8∶0 0.2 mmol/L treatment group(NEFA+C8∶00.2),C8∶0 0.2 mmol/L treatment group(C8∶0 0.2).Stimulate calf liver cells for 12 hours,and the levels of triglyceride(TG),lipid oxidation(MDA),hydrogen peroxide(H2O2)and total SOD activity were detected by biochemical kit,and FAS,a protein related to lipid synthesis,was detec-ted by Western blot.The results showed that compared with the control group,the concentrations of TG,MDA and H2O2 in NEFA group increased significantly(P<0.01),and the activity of SOD decreased significantly(P<0.05).The protein expression levels of FAS,ACC1,DGAT2 and SREBP-1C were significantly up-regulated(P<0.01),while the expression level of CPT1A was significantly down-regulated(P<0.01).Compared with the NEFA group,the protein expression levels of SREBP-1C and DGAT2 in the NEFA+C8∶0(concentration 0.2 mmol/L)group de-creased significantly(P<0.05),and the protein expression level of fatty acid β-oxidation related molecule CPT1A was slightly higher than that in the NEFA group,but there was no statistical sig-nificance(P>0.05),and the MDA level in hepatocytes decreased significantly(P<0.05).In a word,the results of this study show that C8∶0 has antioxidant effect,which can effectively reduce the liver injury caused by oxidative stress,regulate the expression of liver fat gene,and then pro-tect liver injury.
6.Improved effect of image reconstruction algorithm on the basis of deep learning for automatic segmentation of ultralow dose CT on airway of children
Teng LU ; Yun PENG ; Haoyan LI ; Hongwei TIAN ; Yaoyao SONG ; Jihang SUN
China Medical Equipment 2025;22(7):25-29
Objective:To evaluate whether the reconstructed image on the basis of deep learning(DL)can improve the success rate and display quality of automatic segmentation of computed tomography(CT)with ultralow dose for chest of children on airway.Methods:The clinical data of 41 consecutive cases who adopted ultralow dose CT to underwent reexamination on chest at Beijing Children's Hospital,Capital Medical University from February 2020 to September 2020 were selected,whose average age was(4.43±1.61 years).The scan protocol of ultralow dose CT was(0.05 mGy).The reconstructed images included 6 groups,which were respectively filtered reflection projection(FBP)image with 0.625 mm thickness,50%adaptive iterative recombination(ASIR-V)images,100%ASIR-V images,low energy DL(DL-L),medium energy DL(DL-M),and high energy DL(DL-H).The automatically segmentation software was used to conduct automatically segmentation for airway,and the success rate of automatic segmentation was recorded.For images that were successful segmented,a 5-point scale was adopted to subjectively evaluate the displayed quality for airway(5 point is the best).In addition,the CT values and noise values of the images of 6 groups for airway were objectively measured.Results:The success rate of automatic segmentation of DL-H image was the highest(60.98%),and that of the 100%ASIR-V was the lowest(39.02%).The subjective score of DL-H image of the automatic segmentation was the highest(4.06±0.55)point,and that of 100%ASIR-V was the lowest(2.44±0.76)point.DL-H can display more fine and small airways.The noise values of objective measurement showed that both of DL-H and 100%ASIR-V had the lowest noise value,and there was no statistical difference in that between them.Conclusion:The use of high energy deep learning iterative reconstruction(DLIR)algorithm can improve the success rate and display effect of automatic segmentation of ultralow dose CT for chest of children on airway,and DLIR is contribute to improve the accuracy of automatic segmentation algorithm of artificial intelligence.
7.Feasibility of Deep Learning Algorithm to Optimize the Noise and Texture of Children's Head CT
Hongwei TIAN ; Yun PENG ; Daoyong LIU ; Haoyan LI ; Yong LIU ; Tianyu HONG ; Jihang SUN
Chinese Journal of Medical Imaging 2024;32(2):193-198
Purpose To evaluate the image quality improvement of deep learning iterative reconstruction(DLIR)on pediatric head CT images of head injury and to evaluate the performance of DLIR and conventional adaptive statistical iterative reconstruction-veo(ASIR-V)of noise and image texture of CT image in children's head trauma.Materials and Methods A total of 80 cases in Beijing Children's Hospital,Capital Medical University from December 7th to 11th 2020 of children's head low-dose CT were retrospectively selected.Scan voltage was 120 kV.Scan current was 150-220 mA.The raw data were reconstructed into 5 mm thick slice and 0.625 mm thin slice brain window and bone window images.50%ASIR-V and high weight DLIR images(DL-H)were reconstructed,respectively.A 4-point system was used to subjectively evaluate the display of sulcus,brain matter and bone.The number of lesions in each group was counted.The CT value and image noise values of gray matter and white matter were measured,and the contrast to noise ratio was calculated,then measured the blur metric index was measured in the same slice.The differences between the two image reconstruction methods were compared.Results Compared to 50%ASIR-V images,DL-H significantly improved the display ability of the sulcus and ventricles,as well as the display ability of the brain parenchyma(W=5.5-22.2,all P<0.05)in both slice thickness.There was no statistically significant difference in the display ability of the sulcus and ventricles between 5 mm 50%ASIR-V and 0.625 mm DL-H images(W=0.9,2.0,P=0.32,0.05,respectively).In terms of bone display ability,all images could achieve a maximum score of 4.0.A total of 35 lesions were found in 80 patients via 5 mm 50%ASIR-V and DL-H images,including 12 hemorrhagic lesions,1 intracranial gas,9 fractures,and 13 soft tissue swelling.In terms of objective evaluation,the noise level of DL-H images was significantly lower than that of 50%ASIR-V images(t=21.4-35.7,all P<0.05),and there was no statistically significant difference in noise and contrast noise ratio between 5 mm 50%ASIR-V and 0.625 mm DL-H images(t=1.7-2.2,all P≥0.05).The blur metric index showed that DL-H was superior to 50%ASIR-V images(t=6.1,10.0,both P<0.05),and there was no statistically significant difference in blur metric index between 0.625 mm DL-H and 5 mm 50%ASIR-V images(t=2.6,P=0.28).Conclusion DLIR can improve the CT image quality and image texture of children's head trauma,0.625 mm DL-H image quality is close to 5 mm 50%ASIR-V image,which can meet the diagnostic requirements,and possible to further reduce the radiation dose.
8.Investigation of radiation dose and diagnostic reference levels in CT scanning for children
Jihang SUN ; Xiaomin DUAN ; Tong YU ; Haoyan LI ; Yun PENG
Chinese Journal of Radiology 2022;56(10):1135-1140
Objective:To understand the current situation of CT radiation dose in children all over our country, and to explore the diagnostic reference level (DRL) of CT in children.Methods:The radiation dose reports of pediatric CT examination were collected end to November 30, 2021 and divided into five age groups: 0-1 month,>1 month-4 years,>4-10 years,>10-14 years and >14-18 years. There were 9 scanning item such as head, nasal sinus, temporal bone, neck, chest, abdomen, head enhanced CT, chest enhanced CT and abdomen enhanced CT. In each item, volume CT dose index (CTDI vol) and dose length product (DLP) were selected as radiation dose parameters, the 75% percentile were selected for DRL. The DRL results of head, chest and abdomen were compared with the DRL published by Chinese Society of Radiology and European Commission. Results:From March 2019 to November 2021, a total of 33 hospitals in 23 provinces were collected, including 20 children′s specialized hospitals, 11 women′s and children′s hospitals and 2 general hospitals, including 19 135 children′s CT scans. The DRL of 45 subgroups according to 5 age groups and 9 scanning items were obtained. The DRL results showed that the CTDI vol in five age groups was 26.9-42.8 mGy, and the DLP was 347-694 mGy·cm for head; 3.5-8.0 mGy, 54-293 mGy·cm for chest; and 6.3-13.2 mGy, 155-564 mGy·cm for abdomen. The DRL of the age group >4-10 years group in this investigation was agreed to the DRL of Chinese Society of Radiology. Compared with the European guidelines, there was little difference in the radiation dose of head scan, while the radiation dose of chest and abdomen in the young age group increased significantly. Conclusion:This survey reveals the radiation dose level distribution of children CT in our country. The radiation dose level of some items was inconsistent with the DRL of relevant international organizations. So our own DRL is needed to be set up according to the actual clinical reality of our country as a guideline.
9.Application of a deep learning image reconstruction algorithm to improve the measurement accuracy of vessel wall thickening in pediatric patients with Takayasu arteritis
Jihang SUN ; Lixin YANG ; Xiaolu TANG ; Haoyan LI ; Yun PENG
Chinese Journal of Radiology 2021;55(12):1308-1312
Objective:To demonstrate whether image quality and measurement accuracy of vessel wall thickening could be improved using a deep learning image reconstruction (DLIR) algorithm in children with Takayasu arteritis.Methods:From September 2019 to April 2020, 32 patients with Takayasu arteritis underwent low-dose contrast-enhanced CT with 100 kVp in Beijing Children′s Hospital were enrolled retrospectively. The raw data were reconstructed at 0.625 mm slice thickness using the filtered back projection (FBP), 50% adaptive statistical iterative reconstruction-V (ASIR-V) at 50% (50%ASIR-V), ASIR-V at 100% (100%ASIR-V) and DLIR. Subjective evaluation including the image quality of vessel wall identification, overall image noise and diagnostic confidence were evaluated using a 5 points scales by 2 observers. Objective evaluation including the thickness and standard deviation of vessel wall were measured, then the coefficient of variation (CV) was calculated. The CT value and noise of aorta were measured to calculate the contrast to noise ratio (CNR) of image. Friedman test was used to compare the differences of subjective scores among the four groups, and the analysis of variance of random blocks was used to compare the differences of objective measurement indices.Results:In terms of subjective score results, there was no significant difference between 100%ASIR-V and DLIR of overall image noise ( P>0.05), and the image scores of the two groups were higher than those of FBP and 50%ASIR-V (all P<0.05). The vessel wall identification and diagnostic confidence of DLIR were higher than those of other images (all P<0.05). The objective measurement results showed that the standard deviation and CV of vessel wall thickness in DLIR were significantly lower than those in other images (all P<0.05). There was no significant difference in vascular noise, muscle noise and CNR between 100%ASIR-V and DLIR (all P>0.05), which were lower than those in FBP and 50%ASIR-V (all P<0.05). Compared with 50%ASIR-V, the CV of DLIR was reduced by 22.9%, and the CNR was increased by 46.8%. Conclusion:DLIR can improve the overall image quality of CECT in children with Takayasu arteritis and the measurement accuracy of vascular wall, making it possible to further reduce the radiation dose.
10.Efficency and safety of various combined therapies in treating postoperative refractory recurrent liver cancer
Chao CUI ; Huayong CAI ; Junning CAO ; Jihang SHI ; Bingyang HU ; Wenwen ZHANG ; Hongguang WANG ; Jushan WU ; Guangming LI ; Feng DUAN ; Shichun LU
Chinese Journal of Hepatobiliary Surgery 2021;27(4):252-256
Objective:The study aimed to study the efficacy and safety of combined dual therapy using anti-programmed death (PD)-1 and tyrosine kinase inhibitor (TKI) with combined triple therapy using anti-PD-1, TKI and locoregional intervention triple therapy in patients with postoperative refractory recurrent liver cancer.Methods:Patients with postoperative refractory recurrent liver cancer who had undergone either anti-PD-1 and TKI dual therapy or anti-PD-1, TKI and locoregional intervention triple therapy between July 2016 and March 2019 at the First Medical Center, Chinese PLA General Hospital were retrospectively studied. Tumor responses were assessed by the modified response evaluation criteria in solid tumors and overall survival and progression free survival were compared. Adverse events were evaluated according to the National Cancer Institute Common Terminology Criteria for Adverse Events.Results:Of 63 patients who were included in this study, there were 25 patients in the dual therapy group (16 males and 9 females, aged 54.3±8.8 years) and 38 patients in the triple therapy group (31 males and 7 females, aged 55.5±8.4 years). The 1-year survival rate of the triple therapy group was significantly higher than the dual therapy group (94.5%vs 54.9%) ( P<0.01). The disease control rate was 64.0% (16/25) in the dual therapy group and 84.2% (32/38) in the triple therapy group, and the difference was not significant ( P>0.05). The incidence of treatment-related adverse events in the triple therapy group and the dual therapy group were 78.9% (30/38) and 80% (20/25), respectively. There was no treatment-related death in the 2 groups. Conclusions:Anti-PD-1 and TKI dual therapy and anti-PD-1, TKI and locoregional intervention triple therapy were effective and tolerable treatments for postoperative refractory recurrent liver cancer. The latter treatment had a significantly better clinical benefit on survival outcomes.

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