Computed Tomography(CT)images have been extensively employed in disease diagnosis and treatment,causing a huge concern over the dose of radiation to which patients are exposed.Increasing the radiation dose to get a be...Computed Tomography(CT)images have been extensively employed in disease diagnosis and treatment,causing a huge concern over the dose of radiation to which patients are exposed.Increasing the radiation dose to get a better image may lead to the development of genetic disorders and cancer in the patients;on the other hand,decreasing it by using a Low-Dose CT(LDCT)image may cause more noise and increased artifacts,which can compromise the diagnosis.So,image reconstruction from LDCT image data is necessary to improve radiologists’judgment and confidence.This study proposed three novel models for denoising LDCT images based on Wasserstein Generative Adversarial Network(WGAN).They were incorporated with different loss functions,including Visual Geometry Group(VGG),Structural Similarity Loss(SSIM),and Structurally Sensitive Loss(SSL),to reduce noise and preserve important information on LDCT images and investigate the effect of different types of loss functions.Furthermore,experiments have been conducted on the Graphical Processing Unit(GPU)and Central Processing Unit(CPU)to compare the performance of the proposed models.The results demonstrated that images from the proposed WGAN-SSIM,WGAN-VGG-SSIM,and WGAN-VGG-SSL were denoised better than those from state-of-the-art models(WGAN,WGAN-VGG,and SMGAN)and converged to a stable equilibrium compared with WGAN and WGAN-VGG.The proposed models are effective in reducing noise,suppressing artifacts,and maintaining informative structure and texture details,especially WGAN-VGG-SSL which achieved a high peak-signalto-noise ratio(PNSR)on both GPU(26.1336)and CPU(25.8270).The average accuracy of WGAN-VGG-SSL outperformed that of the state-ofthe-art methods by 1 percent.Experiments prove that theWGAN-VGG-SSL is more stable than the other models on both GPU and CPU.展开更多
The influence of low tube voltage in dual source CT（DSCT） coronary artery imaging on image quality and radiation dose and its application value in clinical practice were investigated. Totally, 300 cases of chest pai...The influence of low tube voltage in dual source CT（DSCT） coronary artery imaging on image quality and radiation dose and its application value in clinical practice were investigated. Totally, 300 cases of chest pain with low body mass index（BMI 〈18.5 kg/m2） subjected to DSCT coronary artery imaging were prospectively enrolled. The heart rate in all patients were greater than 65/min. The retrospective ECG gated scanning mode and simple random sampling method were used to assign the patients into groups A, B and C（n=100 each）. The patients in groups A, B and C experienced 120-, 100-, and 80-kV tube voltage imaging respectively, and the image quality was evaluated. The CT volume dose index（CTDIvol） and dose length product（DLP） were recorded, and the effective dose（ED） was calculated in each group. The image quality scores and radiation doses in groups were compared, and the influence of tube voltage on image quality and radiation dose was analyzed. The results showed that the excellent rate of image quality in groups A, B and C was 95.69%, 94.72% and 96.33% respectively with the difference being not statistically significant among the three groups（P〉0.05）. The CTDIvol values in groups A, B and C were 51.35±12.21, 21.28±7.13 and 6.34±3.34 mGy, respectively, with the difference being statistically significant（P〈0.05）. The ED values in groups A, B and C were 9.27±1.63, 4.56±2.29 and 2.29±1.69 mSv, respectively, with the difference being statistically significant（P〈0.05）. It was suggested that for the patients with low BMI, the application of DSCT coronary artery imaging with low tube voltage can obtain satisfactory image quality, and simultaneously, significantly reduce the radiation dose.展开更多
Because of the growing concern over the radiation dose delivered to patients, X-ray cone-beam CT(CBCT) imaging of low dose is of great interest. It is difficult for traditional reconstruction methods such as Feldkamp ...Because of the growing concern over the radiation dose delivered to patients, X-ray cone-beam CT(CBCT) imaging of low dose is of great interest. It is difficult for traditional reconstruction methods such as Feldkamp to reduce noise and keep resolution at low doses. A typical method to solve this problem is using optimizationbased methods with careful modeling of physics and additional constraints. However, it is computationally expensive and very time-consuming to reach an optimal solution. Recently, some pioneering work applying deep neural networks had some success in characterizing and removing artifacts from a low-dose data set. In this study,we incorporate imaging physics for a cone-beam CT into a residual convolutional neural network and propose a new end-to-end deep learning-based method for slice-wise reconstruction. By transferring 3D projection to a 2D problem with a noise reduction property, we can not only obtain reconstructions of high image quality, but also lower the computational complexity. The proposed network is composed of three serially connected sub-networks: a cone-to-fan transformation sub-network, a 2D analytical inversion sub-network, and an image refinement sub-network. This provides a comprehensive solution for end-to-end reconstruction for CBCT. The advantages of our method are that the network can simplify a 3D reconstruction problem to a 2D slice-wise reconstruction problem and can complete reconstruction in an end-to-end manner with the system matrix integrated into the network design. Furthermore, reconstruction can be less computationally expensive and easily parallelizable compared with iterative reconstruction methods.展开更多
目的基于Markov模型评价肺结节低剂量螺旋CT(LDCT)筛查的卫生经济学。方法利用2021年—2023年北京市某三甲医院的肺结节LDCT筛查数据和部分国外临床研究数据,采用成本效用分析方法,通过增量成本效用比(ICUR)确定优势筛查策略;使用R语言...目的基于Markov模型评价肺结节低剂量螺旋CT(LDCT)筛查的卫生经济学。方法利用2021年—2023年北京市某三甲医院的肺结节LDCT筛查数据和部分国外临床研究数据,采用成本效用分析方法,通过增量成本效用比(ICUR)确定优势筛查策略;使用R语言获得转移概率参数,利用TreeAge Pro 2011软件构建Markov模型。假设以我国10万名55岁及以上人群为肺结节筛查对象,模拟其疾病发展情况,并通过敏感性分析评价该模型的稳定性。结果成本效用分析显示,该模型经20次循环后,LDCT筛查策略的总成本为3543088618元,相较于不筛查策略的总成本增加了784130651元,额外获得了7996个质量调整生命年(QALY),每获得一个QALY需多花费98059.77元。采用WHO卫生经济学评价标准,LDCT筛查策略的ICUR大于1倍人均国内生产总值(GDP)但小于3倍人均GDP,为优势策略。敏感性分析显示,各变量在其敏感性分析范围内无论如何变化,都不会对ICUR产生较大影响,表明该模型具有较好的稳定性。结论在55岁及以上人群中开展每年一次肺结节LDCT筛查的ICUR小于3倍人均GDP,具有一定的经济学效用,该筛查策略有利于肺癌的“早发现、早诊断、早治疗”。展开更多
Objective:To investigate the value of application of low-dose and optimized length CT scan on puncture results,complications and patients’radiation dosage during CT-guided percutaneous biopsy of pulmonary nodules(PTN...Objective:To investigate the value of application of low-dose and optimized length CT scan on puncture results,complications and patients’radiation dosage during CT-guided percutaneous biopsy of pulmonary nodules(PTNB).Methods:A total of 231 patients with PTNB under CT guidance were collected.Low dose scanning utilized tube current of 20 mA as compared with 40 mA in conventional dosage.Optimized length in CT is defined as intentionally narrowing the range of CT scanning just to cover 25 mm(5 layers)around the target layer during needle adjustment.According to whether low-dose scans and optimized length scans techniques were utilized,patients were divided into three groups:conventional group(conventional sequence+no optimization),optimized length group(conventional sequence+optimized length),and low-dose optimized length group(low dose sequence+optimized length).The ED(effective dose),the DLP(dose length product),the average CTDIvol(Volume CT dose index),total milliampere second between subgroups were compared.Results:Compared with the conventional group,ED,intraoperative guidance DLP,total milliseconds and operation time in the optimized length group were reduced by 18.2%(P=0.01),37%(P=0.003),17.5%(P=0.013)and13.3%(P=0.021)respectively.Compared with the optimized length group,the ED was reduced by 87%,preoperative positioning,intraoperative guidance and postoperative review DLP were also reduced by 88%,total milliampere second was reduced by 79%,with an average CTDIvol was reduced by 86%,in the low-dose optimized length group(P<0.001 for all).Conclusion:Optimizing the length during CT scanning can effectively reduce the intraoperative radiation dose and reduce the operation time compared with conventional plan;low-dose and optimized length CT scan can further reduce the total radiation dose compared with optimized length group with no differences on intraoperative complications,biopsy results and operation time.展开更多
Background: Mortality outcomes in trials of low-dose computed tomography(CT) screening for lung cancer are inconsistent. This study aimed to evaluate whether CT screening in urban areas of China could reduce lung canc...Background: Mortality outcomes in trials of low-dose computed tomography(CT) screening for lung cancer are inconsistent. This study aimed to evaluate whether CT screening in urban areas of China could reduce lung cancer mortality and to investigate the factors that associate with the screening effect.Methods: A decision tree model with three scenarios(low-dose CT screening, chest X-ray screening, and no screening) was developed to compare screening results in a simulated Chinese urban cohort(100,000 smokers aged45-80 years). Data of participant characteristics were obtained from national registries and epidemiological surveys for estimating lung cancer prevalence. The selection of other tree variables such as sensitivities and specificities of low-dose CT and chest X-ray screening were based on literature research. Differences in lung cancer mortality(primary outcome), false diagnoses, and deaths due to false diagnosis were calculated. Sensitivity analyses were performed to identify the factors that associate with the screening results and to ascertain worst and optimal screening effects considering possible ranges of the variables.Results: Among the 100,000 subjects, there were 448,541, and 591 lung cancer deaths in the low-dose CT, chest X-ray, and no screening scenarios, respectively(17.2% reduction in low-dose CT screening over chest X-ray screening and 24.2% over no screening). The costs of the two screening scenarios were 9387 and 2497 false diagnoses and 7and 2 deaths due to false diagnosis among the 100,000 persons, respectively. The factors that most influenced death reduction with low-dose CT screening over no screening were lung cancer prevalence in the screened cohort, lowdose CT sensitivity, and proportion of early-stage cancers among low-dose CT detected lung cancers. Considering all possibilities, reduction in deaths(relative numbers) with low-dose CT screening in the worst and optimal cases were16(5.4%) and 288(40.2%) over no screening, respectively.Conclusions: In terms of mortality outcomes, our findings favor conducting low-dose CT screening in urban China.However, approaches to reducing false diagnoses and optimizing important screening conditions such as enrollment criteria for screening are highly needed.展开更多
文摘Computed Tomography(CT)images have been extensively employed in disease diagnosis and treatment,causing a huge concern over the dose of radiation to which patients are exposed.Increasing the radiation dose to get a better image may lead to the development of genetic disorders and cancer in the patients;on the other hand,decreasing it by using a Low-Dose CT(LDCT)image may cause more noise and increased artifacts,which can compromise the diagnosis.So,image reconstruction from LDCT image data is necessary to improve radiologists’judgment and confidence.This study proposed three novel models for denoising LDCT images based on Wasserstein Generative Adversarial Network(WGAN).They were incorporated with different loss functions,including Visual Geometry Group(VGG),Structural Similarity Loss(SSIM),and Structurally Sensitive Loss(SSL),to reduce noise and preserve important information on LDCT images and investigate the effect of different types of loss functions.Furthermore,experiments have been conducted on the Graphical Processing Unit(GPU)and Central Processing Unit(CPU)to compare the performance of the proposed models.The results demonstrated that images from the proposed WGAN-SSIM,WGAN-VGG-SSIM,and WGAN-VGG-SSL were denoised better than those from state-of-the-art models(WGAN,WGAN-VGG,and SMGAN)and converged to a stable equilibrium compared with WGAN and WGAN-VGG.The proposed models are effective in reducing noise,suppressing artifacts,and maintaining informative structure and texture details,especially WGAN-VGG-SSL which achieved a high peak-signalto-noise ratio(PNSR)on both GPU(26.1336)and CPU(25.8270).The average accuracy of WGAN-VGG-SSL outperformed that of the state-ofthe-art methods by 1 percent.Experiments prove that theWGAN-VGG-SSL is more stable than the other models on both GPU and CPU.
基金supported by the Natural Science Foundation of Hubei Province,China(No.2012FKB02443)
文摘The influence of low tube voltage in dual source CT（DSCT） coronary artery imaging on image quality and radiation dose and its application value in clinical practice were investigated. Totally, 300 cases of chest pain with low body mass index（BMI 〈18.5 kg/m2） subjected to DSCT coronary artery imaging were prospectively enrolled. The heart rate in all patients were greater than 65/min. The retrospective ECG gated scanning mode and simple random sampling method were used to assign the patients into groups A, B and C（n=100 each）. The patients in groups A, B and C experienced 120-, 100-, and 80-kV tube voltage imaging respectively, and the image quality was evaluated. The CT volume dose index（CTDIvol） and dose length product（DLP） were recorded, and the effective dose（ED） was calculated in each group. The image quality scores and radiation doses in groups were compared, and the influence of tube voltage on image quality and radiation dose was analyzed. The results showed that the excellent rate of image quality in groups A, B and C was 95.69%, 94.72% and 96.33% respectively with the difference being not statistically significant among the three groups（P〉0.05）. The CTDIvol values in groups A, B and C were 51.35±12.21, 21.28±7.13 and 6.34±3.34 mGy, respectively, with the difference being statistically significant（P〈0.05）. The ED values in groups A, B and C were 9.27±1.63, 4.56±2.29 and 2.29±1.69 mSv, respectively, with the difference being statistically significant（P〈0.05）. It was suggested that for the patients with low BMI, the application of DSCT coronary artery imaging with low tube voltage can obtain satisfactory image quality, and simultaneously, significantly reduce the radiation dose.
基金supported by the National Natural Science Foundation of China(Nos.61771279,11435007)the National Key Research and Development Program of China(No.2016YFF0101304)
文摘Because of the growing concern over the radiation dose delivered to patients, X-ray cone-beam CT(CBCT) imaging of low dose is of great interest. It is difficult for traditional reconstruction methods such as Feldkamp to reduce noise and keep resolution at low doses. A typical method to solve this problem is using optimizationbased methods with careful modeling of physics and additional constraints. However, it is computationally expensive and very time-consuming to reach an optimal solution. Recently, some pioneering work applying deep neural networks had some success in characterizing and removing artifacts from a low-dose data set. In this study,we incorporate imaging physics for a cone-beam CT into a residual convolutional neural network and propose a new end-to-end deep learning-based method for slice-wise reconstruction. By transferring 3D projection to a 2D problem with a noise reduction property, we can not only obtain reconstructions of high image quality, but also lower the computational complexity. The proposed network is composed of three serially connected sub-networks: a cone-to-fan transformation sub-network, a 2D analytical inversion sub-network, and an image refinement sub-network. This provides a comprehensive solution for end-to-end reconstruction for CBCT. The advantages of our method are that the network can simplify a 3D reconstruction problem to a 2D slice-wise reconstruction problem and can complete reconstruction in an end-to-end manner with the system matrix integrated into the network design. Furthermore, reconstruction can be less computationally expensive and easily parallelizable compared with iterative reconstruction methods.
文摘目的基于Markov模型评价肺结节低剂量螺旋CT(LDCT)筛查的卫生经济学。方法利用2021年—2023年北京市某三甲医院的肺结节LDCT筛查数据和部分国外临床研究数据,采用成本效用分析方法,通过增量成本效用比(ICUR)确定优势筛查策略;使用R语言获得转移概率参数,利用TreeAge Pro 2011软件构建Markov模型。假设以我国10万名55岁及以上人群为肺结节筛查对象,模拟其疾病发展情况,并通过敏感性分析评价该模型的稳定性。结果成本效用分析显示,该模型经20次循环后,LDCT筛查策略的总成本为3543088618元,相较于不筛查策略的总成本增加了784130651元,额外获得了7996个质量调整生命年(QALY),每获得一个QALY需多花费98059.77元。采用WHO卫生经济学评价标准,LDCT筛查策略的ICUR大于1倍人均国内生产总值(GDP)但小于3倍人均GDP,为优势策略。敏感性分析显示,各变量在其敏感性分析范围内无论如何变化,都不会对ICUR产生较大影响,表明该模型具有较好的稳定性。结论在55岁及以上人群中开展每年一次肺结节LDCT筛查的ICUR小于3倍人均GDP,具有一定的经济学效用,该筛查策略有利于肺癌的“早发现、早诊断、早治疗”。
基金supported by grants from National Natural Science Foundation of China(No.81801804).
文摘Objective:To investigate the value of application of low-dose and optimized length CT scan on puncture results,complications and patients’radiation dosage during CT-guided percutaneous biopsy of pulmonary nodules(PTNB).Methods:A total of 231 patients with PTNB under CT guidance were collected.Low dose scanning utilized tube current of 20 mA as compared with 40 mA in conventional dosage.Optimized length in CT is defined as intentionally narrowing the range of CT scanning just to cover 25 mm(5 layers)around the target layer during needle adjustment.According to whether low-dose scans and optimized length scans techniques were utilized,patients were divided into three groups:conventional group(conventional sequence+no optimization),optimized length group(conventional sequence+optimized length),and low-dose optimized length group(low dose sequence+optimized length).The ED(effective dose),the DLP(dose length product),the average CTDIvol(Volume CT dose index),total milliampere second between subgroups were compared.Results:Compared with the conventional group,ED,intraoperative guidance DLP,total milliseconds and operation time in the optimized length group were reduced by 18.2%(P=0.01),37%(P=0.003),17.5%(P=0.013)and13.3%(P=0.021)respectively.Compared with the optimized length group,the ED was reduced by 87%,preoperative positioning,intraoperative guidance and postoperative review DLP were also reduced by 88%,total milliampere second was reduced by 79%,with an average CTDIvol was reduced by 86%,in the low-dose optimized length group(P<0.001 for all).Conclusion:Optimizing the length during CT scanning can effectively reduce the intraoperative radiation dose and reduce the operation time compared with conventional plan;low-dose and optimized length CT scan can further reduce the total radiation dose compared with optimized length group with no differences on intraoperative complications,biopsy results and operation time.
基金supported by Peking Union Medical College Youth Fund and the Fundamental Research Funds for the Central Universities(No.2017310049)
文摘Background: Mortality outcomes in trials of low-dose computed tomography(CT) screening for lung cancer are inconsistent. This study aimed to evaluate whether CT screening in urban areas of China could reduce lung cancer mortality and to investigate the factors that associate with the screening effect.Methods: A decision tree model with three scenarios(low-dose CT screening, chest X-ray screening, and no screening) was developed to compare screening results in a simulated Chinese urban cohort(100,000 smokers aged45-80 years). Data of participant characteristics were obtained from national registries and epidemiological surveys for estimating lung cancer prevalence. The selection of other tree variables such as sensitivities and specificities of low-dose CT and chest X-ray screening were based on literature research. Differences in lung cancer mortality(primary outcome), false diagnoses, and deaths due to false diagnosis were calculated. Sensitivity analyses were performed to identify the factors that associate with the screening results and to ascertain worst and optimal screening effects considering possible ranges of the variables.Results: Among the 100,000 subjects, there were 448,541, and 591 lung cancer deaths in the low-dose CT, chest X-ray, and no screening scenarios, respectively(17.2% reduction in low-dose CT screening over chest X-ray screening and 24.2% over no screening). The costs of the two screening scenarios were 9387 and 2497 false diagnoses and 7and 2 deaths due to false diagnosis among the 100,000 persons, respectively. The factors that most influenced death reduction with low-dose CT screening over no screening were lung cancer prevalence in the screened cohort, lowdose CT sensitivity, and proportion of early-stage cancers among low-dose CT detected lung cancers. Considering all possibilities, reduction in deaths(relative numbers) with low-dose CT screening in the worst and optimal cases were16(5.4%) and 288(40.2%) over no screening, respectively.Conclusions: In terms of mortality outcomes, our findings favor conducting low-dose CT screening in urban China.However, approaches to reducing false diagnoses and optimizing important screening conditions such as enrollment criteria for screening are highly needed.
