BACKGROUND:Tumor angiogenesis is essential for primary and metastatic tumor growth.Computed tomography perfusion(CTP)is a new imaging method,made possible by the recent development of fast CT scanners and improved dat...BACKGROUND:Tumor angiogenesis is essential for primary and metastatic tumor growth.Computed tomography perfusion(CTP)is a new imaging method,made possible by the recent development of fast CT scanners and improved data analysis techniques,which allows measurement of the physiologic and hemodynamic properties of tissue vasculature.This study aimed to evaluate CTP in the quantification of angiogenesis and to assess the relationship between tissue perfusion parameters and microvascular density(MVD)and vascular endothelial growth factor(VEGF),attempting to detect the physiologic properties of angiogenesis.METHODS:Sixteen rabbits with VX2 liver tumors underwent multi-slice CT perfusion(MSCTP)on day 14 after tumor inoculation.CTP parameters included hepatic blood flow(HBF),hepatic blood volume(HBV),mean transit time(MTT),permeability of capillary vessel surface(PS),hepatic artery index(HAI),hepatic artery perfusion(HAP),and hepatic portal perfusion(HPP).The border of the tumor was stained with CD34 and VEGF immunohistochemical stains,and MVD was measured by anti-CD34.Then,CTP parameters were determined whether they were correlated with MVD and VEGF using Pearson’s correlation coefficient.RESULTS:The positive expression of MVD was different in the center and border of the tumor(P【0.01).There was a positive correlation between MVD and VEGF in the border(P【0.05).As more VEGF was expressed,the number of microvessels increased.Correlation analyses were also made between the perfusion parameters and MVD and VEGF in the border of the tumor.HBF,PS,HAI,and HAP values were positively correlated with MVD and VEGF(P【0.05),HPP was negatively correlated with MVD and VEGF(P【0.01),and HBV and MTT values were not correlated with MVD and VEGF(P】0.05).CONCLUSIONS:Significant correlations were found between perfusion parameters and MVD and VEGF.Therefore,MSCTP can be used to evaluate tumor angiogenesis in vivo.展开更多
Objective: To study the association of CT perfusion imaging parameters with plasma level of transforming growth factor-β1(TGF-β1) and vascular endothelial growth(VEGF) in patients with non small cell cancer(NSCLC). ...Objective: To study the association of CT perfusion imaging parameters with plasma level of transforming growth factor-β1(TGF-β1) and vascular endothelial growth(VEGF) in patients with non small cell cancer(NSCLC). Methods: A total of 67 patients with NSCLC(NSCLC group) and 64 patients with benign lesion(control group) were given with CT perfusion imaging to obtain blood flow, blood volume, mean transit time, time to peal and permeability surface through CT perfusion software. The plasma levels of TGF-β1 and VEGF were tested by ELISA. The relationship between plasma levels of TGF-β1, VEGF and CT perfusion imaging parameters were analyzed. Results: CT perfusion imaging parameters and the plasma levels of TGF-β1 and VEGF of NSCLC group were significantly higher than the control group(P<0.05), while CT perfusion parameters and the levels of TGF-β1 and VEGF in NSCLC group showed significant difference in different tumor node metastasis stages(P<0.05). Correlation analysis showed that the level of plasma TGF-β1 and VEGF were positively correlated with blood flow, blood volume, and mean transit time(P<0.05), and negatively correlated with time to peal(P<0.05). There was no significant correlation between TGF-β1 and VEGF with the permeability surface. Conclusions: CT perfusion imaging parameters in patients with NSCLC is closely associated with plasma TGF-β1, VEGF and its biological characteristics. CT perfusion imaging is a convenient method to detect tumor blood perfusion.展开更多
Purpose: Little is known about the relationship between perihematomal perfusion parameters in acute spontaneous hypertensive intracerebral hemorrhage patients and recent outcome. The purpose of this study was to evalu...Purpose: Little is known about the relationship between perihematomal perfusion parameters in acute spontaneous hypertensive intracerebral hemorrhage patients and recent outcome. The purpose of this study was to evaluate the relationship between the perfusion parameters of the perihematomal brain tissue and the recent prognosis of patients with acute spontaneous hypertensive intracerebral hemorrhage (shICH) using CT perfusion (CTP) imaging. Methods: Twenty-six patients with clinical and CT diagnosed supratentorial shICH received CTP scanning within 8 - 19 h after symptom onset. At the maximum levels of the hematoma, cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT) of perihematomal area (isodense within 1cm rim of perilesion area on plain CT) and contralateral mirrored hemisphere were measured, and rCBF, rCBV, rMTT were calculated (ipsilateral/contralateral). The one-month follow-up in accordance with daily living table (Barthel index, BI) by telephone was recorded. Results: The CBV, CBF, and MTT values of perihematoma area were (1.61 ± 1.53) ml·100 g-1, (16.48 ± 12.58) ml·100 g-1·min-1, and (9.12 ± 2.57) s, respectively. (For more information,please refer to the PDF)展开更多
Objective: To investigate the clinical diagnostic value of peripheral lung cancer using multi-slice CT (MSCT) perfu- sion imaging and the relationship with microvessel density (MVD). Methods: 38 patients with pulmonar...Objective: To investigate the clinical diagnostic value of peripheral lung cancer using multi-slice CT (MSCT) perfu- sion imaging and the relationship with microvessel density (MVD). Methods: 38 patients with pulmonary masses proved by pathology including 25 cases of peripheral lung cancer and 13 cases of benign masses were studied prospectively with GE Lightspeed Qx/I plus 16-slice helical CT perfusion imaging, and 25 patients with lung cancer were comparative studied with its MVD calculated using LSAB. With the CT perfusion 2-body tumor software, the parameters of CT perfusion including blood value (BV), blood flow (BF), mean transit time (MTT) and permeability surface (PS) were analyzed. Results: The four param- eter values in lung cancer were all higher than that in pulmonary benign masses, and there were significant differences among BV, MTT and PS (P<0.05), especially in BV (P<0.01). The MVD value of lung cancer was higher than that of pulmonary benign masses (P<0.05), and the MVD of adenocarcinoma was higher than that of squamous cell carcinoma (P<0.05). In 25 cases with lung cancer, there was positive correlation only between BV and MVD value (r=0.852, P<0.01). Conclusion: It is helpful to diagnose the peripheral lung cancer with MSCT perfusion imaging and to differentiate from pulmonary benign masses, its bases are MVD pathologically.展开更多
An experimental animal model of malignant soft-tissue tumor was established to investigate the applied value of multi-slice spiral CT perfusion imaging preliminarily. Ten New Zealand white rabbits which were implanted...An experimental animal model of malignant soft-tissue tumor was established to investigate the applied value of multi-slice spiral CT perfusion imaging preliminarily. Ten New Zealand white rabbits which were implanted with VX_ 2 tumor in either proximal thigh were subjected to CT plain scan and perfusion scan two weeks later respectively, then the original perfusion images were transmitted to AW4.0 Workstation. The functional maps and perfusion parameters including blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface (PS) were computed and analyzed. All the values of BF, BV and PS in VX_ 2 soft-tissue tumors were obviously higher while the MTT-values were lower than those in the normal muscular tissues significantly. It was suggested that multi-slice spiral CT perfusion imaging is an accurate, convenient and relatively safe functional imaging technique, and can give a quantitative assessment to angiogenesis and blood perfusion of soft-tissue tumors.展开更多
Objective:This study focused on the clinical application value of dynamic CT perfusion imaging in stroke.Methods:A total of 92 patients with stroke were enrolled in this study.All patients were selected from December ...Objective:This study focused on the clinical application value of dynamic CT perfusion imaging in stroke.Methods:A total of 92 patients with stroke were enrolled in this study.All patients were selected from December 2017 to December 2018 according to different diagnostic methods.They were randomly divided into two groups:the observation group and control group.The number of patients in each group was 46.The observation group mainly used dynamic CT perfusion imaging for diagnosis while the control group mainly used CT plain scan.The diagnostic effects of the two groups of patients and the hemodynamic parameters of the surrounding area of sub-acute hematoma and the acute phase of stroke in the observation group were compared.Results:The clinical diagnosis of the observation group was 95.65%while the clinical diagnosis of the control group was 69.57%.The observation group was higher than that of the control group and the difference was significant.In addition,the hemodynamic parameters of the acute phase of the observation group and the sub-acute hematoma were also varied.Conclusion:Dynamic CT perfusion imaging has significant clinical value in stroke,and it is worthy of further application.展开更多
Objective: To perform a contrast investigation of multi-slice spiral CT (MSCT) perfusion imaging and pathological findings in VX2 soft-tissue tumor of rabbits, and discuss the applicative value of multi-slice spiral C...Objective: To perform a contrast investigation of multi-slice spiral CT (MSCT) perfusion imaging and pathological findings in VX2 soft-tissue tumor of rabbits, and discuss the applicative value of multi-slice spiral CT perfusion imaging in soft-tissue tumors. Methods: 8 Newzealand white rabbits were implanted with 0.1 ml VX2 tumor tissue suspension in bilateral proximal thighs. 14 days and 21 days later, CT plain scan and perfusion scan were performed on these rabbits respectively, then the images were transmitted to AW4.0 workstation, the functional maps and perfusion parameters including blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface (PS) were computed and analyzed. Subsequently, the rabbits were sacrificed, the tumors of which were taken out for pathological examination. The correlation between MSCT functional parametric images and pathological findings was analyzed. Results: All the values of BF, BV and PS of VX2 soft-tissue tumors were obviously higher while the MTT-values were lower than those of the normal muscular tissues significantly (P<0.001). Conclusion: Multi-slice spiral CT perfusion imaging is an accurate, convenient and relatively safe functional imaging technique, which can give a quantitative assessment to blood perfusion and angiogenesis of soft-tissue tumors.展开更多
In the current landscape of the COVID-19 pandemic,the utilization of deep learning in medical imaging,especially in chest computed tomography(CT)scan analysis for virus detection,has become increasingly significant.De...In the current landscape of the COVID-19 pandemic,the utilization of deep learning in medical imaging,especially in chest computed tomography(CT)scan analysis for virus detection,has become increasingly significant.Despite its potential,deep learning’s“black box”nature has been a major impediment to its broader acceptance in clinical environments,where transparency in decision-making is imperative.To bridge this gap,our research integrates Explainable AI(XAI)techniques,specifically the Local Interpretable Model-Agnostic Explanations(LIME)method,with advanced deep learning models.This integration forms a sophisticated and transparent framework for COVID-19 identification,enhancing the capability of standard Convolutional Neural Network(CNN)models through transfer learning and data augmentation.Our approach leverages the refined DenseNet201 architecture for superior feature extraction and employs data augmentation strategies to foster robust model generalization.The pivotal element of our methodology is the use of LIME,which demystifies the AI decision-making process,providing clinicians with clear,interpretable insights into the AI’s reasoning.This unique combination of an optimized Deep Neural Network(DNN)with LIME not only elevates the precision in detecting COVID-19 cases but also equips healthcare professionals with a deeper understanding of the diagnostic process.Our method,validated on the SARS-COV-2 CT-Scan dataset,demonstrates exceptional diagnostic accuracy,with performance metrics that reinforce its potential for seamless integration into modern healthcare systems.This innovative approach marks a significant advancement in creating explainable and trustworthy AI tools for medical decisionmaking in the ongoing battle against COVID-19.展开更多
Objective:To analyze the characteristics,dynamic changes,and outcomes of the first imaging manifestations of 3 patients with severe COVID-19 in our hospital.Methods:Computed tomography(CT)findings of 3 patients with s...Objective:To analyze the characteristics,dynamic changes,and outcomes of the first imaging manifestations of 3 patients with severe COVID-19 in our hospital.Methods:Computed tomography(CT)findings of 3 patients with severe COVID-19 who tested positive by the nucleic acid test in our hospital were selected,mainly focusing on the morphology,distribution characteristics,and dynamic changes of the first CT findings.Results:3 patients with severe pneumonia were older,with one aged 80.The first chest CT examination for all 3 patients differed.Imaging showed a leafy distribution of consolidation,primarily affecting the lower lobes of both lungs and extending subpleurally.A grid-like pattern was observed,along with changes in the consolidation and air bronchogram.These changes had slower absorption,especially in patients with underlying diseases.Conclusion:CT manifestations of severe COVID-19 have specific characteristics and the analysis of their characteristics and dynamic changes provide valuable insights for clinical treatment.展开更多
基金supported by grants from the Natural Science Foundation of Heilongjiang(No.D2006-07)the Heilongjiang Educational Committee(No.1511181)the National Natural Science Foundation of China(No.30370431)
文摘BACKGROUND:Tumor angiogenesis is essential for primary and metastatic tumor growth.Computed tomography perfusion(CTP)is a new imaging method,made possible by the recent development of fast CT scanners and improved data analysis techniques,which allows measurement of the physiologic and hemodynamic properties of tissue vasculature.This study aimed to evaluate CTP in the quantification of angiogenesis and to assess the relationship between tissue perfusion parameters and microvascular density(MVD)and vascular endothelial growth factor(VEGF),attempting to detect the physiologic properties of angiogenesis.METHODS:Sixteen rabbits with VX2 liver tumors underwent multi-slice CT perfusion(MSCTP)on day 14 after tumor inoculation.CTP parameters included hepatic blood flow(HBF),hepatic blood volume(HBV),mean transit time(MTT),permeability of capillary vessel surface(PS),hepatic artery index(HAI),hepatic artery perfusion(HAP),and hepatic portal perfusion(HPP).The border of the tumor was stained with CD34 and VEGF immunohistochemical stains,and MVD was measured by anti-CD34.Then,CTP parameters were determined whether they were correlated with MVD and VEGF using Pearson’s correlation coefficient.RESULTS:The positive expression of MVD was different in the center and border of the tumor(P【0.01).There was a positive correlation between MVD and VEGF in the border(P【0.05).As more VEGF was expressed,the number of microvessels increased.Correlation analyses were also made between the perfusion parameters and MVD and VEGF in the border of the tumor.HBF,PS,HAI,and HAP values were positively correlated with MVD and VEGF(P【0.05),HPP was negatively correlated with MVD and VEGF(P【0.01),and HBV and MTT values were not correlated with MVD and VEGF(P】0.05).CONCLUSIONS:Significant correlations were found between perfusion parameters and MVD and VEGF.Therefore,MSCTP can be used to evaluate tumor angiogenesis in vivo.
文摘Objective: To study the association of CT perfusion imaging parameters with plasma level of transforming growth factor-β1(TGF-β1) and vascular endothelial growth(VEGF) in patients with non small cell cancer(NSCLC). Methods: A total of 67 patients with NSCLC(NSCLC group) and 64 patients with benign lesion(control group) were given with CT perfusion imaging to obtain blood flow, blood volume, mean transit time, time to peal and permeability surface through CT perfusion software. The plasma levels of TGF-β1 and VEGF were tested by ELISA. The relationship between plasma levels of TGF-β1, VEGF and CT perfusion imaging parameters were analyzed. Results: CT perfusion imaging parameters and the plasma levels of TGF-β1 and VEGF of NSCLC group were significantly higher than the control group(P<0.05), while CT perfusion parameters and the levels of TGF-β1 and VEGF in NSCLC group showed significant difference in different tumor node metastasis stages(P<0.05). Correlation analysis showed that the level of plasma TGF-β1 and VEGF were positively correlated with blood flow, blood volume, and mean transit time(P<0.05), and negatively correlated with time to peal(P<0.05). There was no significant correlation between TGF-β1 and VEGF with the permeability surface. Conclusions: CT perfusion imaging parameters in patients with NSCLC is closely associated with plasma TGF-β1, VEGF and its biological characteristics. CT perfusion imaging is a convenient method to detect tumor blood perfusion.
文摘Purpose: Little is known about the relationship between perihematomal perfusion parameters in acute spontaneous hypertensive intracerebral hemorrhage patients and recent outcome. The purpose of this study was to evaluate the relationship between the perfusion parameters of the perihematomal brain tissue and the recent prognosis of patients with acute spontaneous hypertensive intracerebral hemorrhage (shICH) using CT perfusion (CTP) imaging. Methods: Twenty-six patients with clinical and CT diagnosed supratentorial shICH received CTP scanning within 8 - 19 h after symptom onset. At the maximum levels of the hematoma, cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT) of perihematomal area (isodense within 1cm rim of perilesion area on plain CT) and contralateral mirrored hemisphere were measured, and rCBF, rCBV, rMTT were calculated (ipsilateral/contralateral). The one-month follow-up in accordance with daily living table (Barthel index, BI) by telephone was recorded. Results: The CBV, CBF, and MTT values of perihematoma area were (1.61 ± 1.53) ml·100 g-1, (16.48 ± 12.58) ml·100 g-1·min-1, and (9.12 ± 2.57) s, respectively. (For more information,please refer to the PDF)
基金Supported by a grant from the Scientific Research Foundation of the Educational Department of Liaoning province (No. 20272277).
文摘Objective: To investigate the clinical diagnostic value of peripheral lung cancer using multi-slice CT (MSCT) perfu- sion imaging and the relationship with microvessel density (MVD). Methods: 38 patients with pulmonary masses proved by pathology including 25 cases of peripheral lung cancer and 13 cases of benign masses were studied prospectively with GE Lightspeed Qx/I plus 16-slice helical CT perfusion imaging, and 25 patients with lung cancer were comparative studied with its MVD calculated using LSAB. With the CT perfusion 2-body tumor software, the parameters of CT perfusion including blood value (BV), blood flow (BF), mean transit time (MTT) and permeability surface (PS) were analyzed. Results: The four param- eter values in lung cancer were all higher than that in pulmonary benign masses, and there were significant differences among BV, MTT and PS (P<0.05), especially in BV (P<0.01). The MVD value of lung cancer was higher than that of pulmonary benign masses (P<0.05), and the MVD of adenocarcinoma was higher than that of squamous cell carcinoma (P<0.05). In 25 cases with lung cancer, there was positive correlation only between BV and MVD value (r=0.852, P<0.01). Conclusion: It is helpful to diagnose the peripheral lung cancer with MSCT perfusion imaging and to differentiate from pulmonary benign masses, its bases are MVD pathologically.
文摘An experimental animal model of malignant soft-tissue tumor was established to investigate the applied value of multi-slice spiral CT perfusion imaging preliminarily. Ten New Zealand white rabbits which were implanted with VX_ 2 tumor in either proximal thigh were subjected to CT plain scan and perfusion scan two weeks later respectively, then the original perfusion images were transmitted to AW4.0 Workstation. The functional maps and perfusion parameters including blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface (PS) were computed and analyzed. All the values of BF, BV and PS in VX_ 2 soft-tissue tumors were obviously higher while the MTT-values were lower than those in the normal muscular tissues significantly. It was suggested that multi-slice spiral CT perfusion imaging is an accurate, convenient and relatively safe functional imaging technique, and can give a quantitative assessment to angiogenesis and blood perfusion of soft-tissue tumors.
文摘Objective:This study focused on the clinical application value of dynamic CT perfusion imaging in stroke.Methods:A total of 92 patients with stroke were enrolled in this study.All patients were selected from December 2017 to December 2018 according to different diagnostic methods.They were randomly divided into two groups:the observation group and control group.The number of patients in each group was 46.The observation group mainly used dynamic CT perfusion imaging for diagnosis while the control group mainly used CT plain scan.The diagnostic effects of the two groups of patients and the hemodynamic parameters of the surrounding area of sub-acute hematoma and the acute phase of stroke in the observation group were compared.Results:The clinical diagnosis of the observation group was 95.65%while the clinical diagnosis of the control group was 69.57%.The observation group was higher than that of the control group and the difference was significant.In addition,the hemodynamic parameters of the acute phase of the observation group and the sub-acute hematoma were also varied.Conclusion:Dynamic CT perfusion imaging has significant clinical value in stroke,and it is worthy of further application.
文摘Objective: To perform a contrast investigation of multi-slice spiral CT (MSCT) perfusion imaging and pathological findings in VX2 soft-tissue tumor of rabbits, and discuss the applicative value of multi-slice spiral CT perfusion imaging in soft-tissue tumors. Methods: 8 Newzealand white rabbits were implanted with 0.1 ml VX2 tumor tissue suspension in bilateral proximal thighs. 14 days and 21 days later, CT plain scan and perfusion scan were performed on these rabbits respectively, then the images were transmitted to AW4.0 workstation, the functional maps and perfusion parameters including blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface (PS) were computed and analyzed. Subsequently, the rabbits were sacrificed, the tumors of which were taken out for pathological examination. The correlation between MSCT functional parametric images and pathological findings was analyzed. Results: All the values of BF, BV and PS of VX2 soft-tissue tumors were obviously higher while the MTT-values were lower than those of the normal muscular tissues significantly (P<0.001). Conclusion: Multi-slice spiral CT perfusion imaging is an accurate, convenient and relatively safe functional imaging technique, which can give a quantitative assessment to blood perfusion and angiogenesis of soft-tissue tumors.
基金the Deanship for Research Innovation,Ministry of Education in Saudi Arabia,for funding this research work through project number IFKSUDR-H122.
文摘In the current landscape of the COVID-19 pandemic,the utilization of deep learning in medical imaging,especially in chest computed tomography(CT)scan analysis for virus detection,has become increasingly significant.Despite its potential,deep learning’s“black box”nature has been a major impediment to its broader acceptance in clinical environments,where transparency in decision-making is imperative.To bridge this gap,our research integrates Explainable AI(XAI)techniques,specifically the Local Interpretable Model-Agnostic Explanations(LIME)method,with advanced deep learning models.This integration forms a sophisticated and transparent framework for COVID-19 identification,enhancing the capability of standard Convolutional Neural Network(CNN)models through transfer learning and data augmentation.Our approach leverages the refined DenseNet201 architecture for superior feature extraction and employs data augmentation strategies to foster robust model generalization.The pivotal element of our methodology is the use of LIME,which demystifies the AI decision-making process,providing clinicians with clear,interpretable insights into the AI’s reasoning.This unique combination of an optimized Deep Neural Network(DNN)with LIME not only elevates the precision in detecting COVID-19 cases but also equips healthcare professionals with a deeper understanding of the diagnostic process.Our method,validated on the SARS-COV-2 CT-Scan dataset,demonstrates exceptional diagnostic accuracy,with performance metrics that reinforce its potential for seamless integration into modern healthcare systems.This innovative approach marks a significant advancement in creating explainable and trustworthy AI tools for medical decisionmaking in the ongoing battle against COVID-19.
基金Qinghai Provincial Health Commission Medical and Health Science and Technology Project Guiding Topics“Analysis of Dynamic Changes in Chest Imaging of New Coronavirus Pneumonia in Qinghai Province”(2022-wjzdx-63)。
文摘Objective:To analyze the characteristics,dynamic changes,and outcomes of the first imaging manifestations of 3 patients with severe COVID-19 in our hospital.Methods:Computed tomography(CT)findings of 3 patients with severe COVID-19 who tested positive by the nucleic acid test in our hospital were selected,mainly focusing on the morphology,distribution characteristics,and dynamic changes of the first CT findings.Results:3 patients with severe pneumonia were older,with one aged 80.The first chest CT examination for all 3 patients differed.Imaging showed a leafy distribution of consolidation,primarily affecting the lower lobes of both lungs and extending subpleurally.A grid-like pattern was observed,along with changes in the consolidation and air bronchogram.These changes had slower absorption,especially in patients with underlying diseases.Conclusion:CT manifestations of severe COVID-19 have specific characteristics and the analysis of their characteristics and dynamic changes provide valuable insights for clinical treatment.
