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Liu YT, Yang YT, Tang CX, Ma JQ, Kong X, Li JH, Li YM, Liu SY, Zhou CS, Wang YF, Zhang LJ. Aberrant cortical morphology patterns are associated with cognitive impairment in patients with chronic heart failure. Eur J Neurosci 2024. [PMID: 38711292 DOI: 10.1111/ejn.16382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/17/2024] [Accepted: 04/23/2024] [Indexed: 05/08/2024]
Abstract
A mounting body of evidences suggests that patients with chronic heart failure (HF) frequently experience cognitive impairments, but the neuroanatomical mechanism underlying these impairments remains elusive. In this retrospective study, 49 chronic HF patients and 49 healthy controls (HCs) underwent brain structural MRI scans and cognitive assessments. Cortical morphology index (cortical thickness, complexity, sulcal depth and gyrification) were evaluated. Correlations between cortical morphology and cognitive scores and clinical variables were explored. Logistic regression analysis was employed to identify risk factors for predicting 3-year major adverse cardiovascular events. Compared with HCs, patients with chronic HF exhibited decreased cognitive scores (p < .001) and decreased cortical thickness, sulcal depth and gyrification in brain regions involved cognition, sensorimotor, autonomic nervous system (family-wise error correction, all p values <.05). Notably, HF duration and New York Heart Association (NYHA) demonstrated negative correlations with abnormal cortex morphology, particularly HF duration and thickness in left precentral gyrus (r = -.387, p = .006). Cortical morphology characteristics exhibited positive associations with global cognition, particularly cortical thickness in left pars opercularis (r = .476, p < .001). NYHA class is an independent risk factor for adverse outcome (p = .001). The observed correlation between abnormal cortical morphology and global cognition suggested that cortical morphology may serve as a promising imaging biomarker and provide insights into neuroanatomical underpinnings of cognitive impairment in patients with chronic HF.
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Affiliation(s)
- Yu Ting Liu
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yu Ting Yang
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Chun Xiang Tang
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Jun Qing Ma
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xiang Kong
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Jian Hua Li
- Department of Cardiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yan Ming Li
- Department of Cardiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Shu Yu Liu
- Department of Cardiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Chang Sheng Zhou
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yun Fei Wang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Long Jiang Zhang
- Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
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Li SY, Zhong J, Qiao HY, Schoepf UJ, Emrich T, Butler WN, Zuo R, Xue Y, Liu Y, Dai LY, Zhou CS, Lu GM, Tang CX, Zhang LJ. FFR CT and Static Computed Tomography Myocardial Perfusion Imaging for Therapeutic Decision-making and Prognosis in Patients With Coronary Artery Disease. J Thorac Imaging 2024; 39:101-110. [PMID: 37265250 PMCID: PMC10878454 DOI: 10.1097/rti.0000000000000718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
PURPOSE The purpose of this study was to investigate the effect of integrated evaluation of resting static computed tomography perfusion (CTP) and coronary computed tomography angiography (CCTA)-derived fractional flow reserve (FFR CT ) on therapeutic decision-making and predicting major adverse cardiovascular events (MACEs) in patients with suspected coronary artery disease. MATERIALS AND METHODS In this post hoc analysis of a prospective trial of CCTA in patients assigned to either CCTA or CCTA plus FFR CT arms, 500 patients in the CCTA plus FFR CT arm were analyzed. Both resting static CTP and FFR CT were evaluated by using the conventional CCTA. Perfusion defects in the myocardial segments with ≥50% degree of stenosis in the supplying vessels were defined as resting static CTP positive, and any vessel with an FFR CT value of ≤0.80 was considered positive. Patients were divided into 3 groups: (1) negative CTP-FFR CT match group (resting static CTP-negative and FFR CT -negative group); (2) mismatch CTP-FFR CT group (resting static CTP-positive and FFR CT -negative or resting static CTP-negative and FFR CT -positive group); and (3) positive CTP-FFR CT match group (resting static CTP-positive and FFR CT -positive group). We compared the revascularization-to-invasive coronary angiography ratio and the MACE rate among 3 subgroups at 1- and 3-year follow-ups. The adjusted Cox hazard proportional model was used to assess the prognostic value of FFR CT and resting static CTP to determine patients at risk of MACE. RESULTS Patients in the positive CTP-FFR CT match group were more likely to undergo revascularization at the time of invasive coronary angiography compared with those in the mismatch CTP-FFR CT group (81.4% vs 57.7%, P =0.033) and the negative CTP-FFR CT match group (81.4% vs 33.3%, P= 0.001). At 1- and 3-year follow-ups, patients in the positive CTP-FFR CT match group were more likely to have MACE than those in the mismatch CTP-FFR CT group (10.5% vs 4.2%, P= 0.046; 35.6% vs 9.4%, P <0.001) and the negative CTP-FFR CT match group (10.5% vs 0.9%, P <0.001; 35.6% vs 5.4%, P <0.001). A positive CTP-FFR CT match was strongly related to MACE at 1-year (hazard ratio=8.06, P= 0.003) and 3-year (hazard ratio=6.23, P <0.001) follow-ups. CONCLUSION In patients with suspected coronary artery disease, the combination of FFR CT with resting static CTP could guide therapeutic decisions and have a better prognosis with fewer MACE in a real-world scenario.
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Affiliation(s)
- Su Yu Li
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Jian Zhong
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Hong Yan Qiao
- Department of Medical Imaging, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, China
| | - U. Joseph Schoepf
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC
| | - Tilman Emrich
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC
| | - W. Nicholas Butler
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC
| | - Rui Zuo
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Yi Xue
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Ya Liu
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Li Yan Dai
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Chang Sheng Zhou
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Guang Ming Lu
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Chun Xiang Tang
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Long Jiang Zhang
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
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Zu ZY, Xu PP, Chen Q, Chen YC, Qi JC, Tang CX, Zhou CS, Xu C, Sun XJ, Lu MJ, Lu GM, Wang YN, Xu Y, Zhang LJ. The prognostic value of CT-derived fractional flow reserve in coronary artery bypass graft: a retrospective multicenter study. Eur Radiol 2022; 33:3029-3040. [PMID: 36576550 DOI: 10.1007/s00330-022-09353-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 11/07/2022] [Accepted: 11/29/2022] [Indexed: 12/29/2022]
Abstract
OBJECTIVES To investigate the predictive value of CT-derived fractional flow reserve (FFRCT) in anastomosis occlusion after coronary artery bypass graft (CABG) surgery. METHODS Patients undergoing CABG with both pre- and post-operative coronary computed tomographic angiography (CCTA) were retrospectively included. Preoperative CCTA studies were used to evaluate anatomical and FFRCT information of target vessels. A diameter stenosis (DS) ≥ 70% or left main > 50% was considered to be anatomically severe, while FFRCT value ≤ 0.80 be functionally significant. The primary endpoint was anastomosis occlusion evaluated on post-operative CCTA during follow-up. Predictors of anastomosis occlusion were assessed by the multivariate binary logistic regression with generalized estimating equations. RESULTS A total of 270 anastomoses were identified in 88 enrolled patients. Forty-one anastomoses from 30 patients exhibited occlusion during a follow-up of 15.3 months after CABG. The occluded group had significantly increased prevalence of non-severe DS (58.5% vs. 40.2%; p = 0.023) and non-significant FFRCT (48.8% vs. 10.0%; p < 0.001). Multivariable analysis indicated FFRCT ≤ 0.80 (odds ratio [OR]: 0.10, 95% CI: 0.03-0.33; p < 0.001) and older age (OR: 0.92, 95% CI: 0.87-0.97; p = 0.001) were predictors for bypass patency during follow-up, while myocardial infarction history and anastomosis to a local lesion or bifurcation (all p value < 0.05) were predictors of occlusion. Adding FFRCT into the model based on the clinical and anatomical predictors had an improved AUC of 0.848 (p = 0.005). CONCLUSIONS FFRCT ≤ 0.80 was associated with a significant risk reduction of anastomosis occlusion after CABG. Preoperative judgment of the hemodynamic significance may improve the CABG surgery strategy and reduce graft failure. KEY POINTS • FFRCT ≤ 0.80 was associated with a significant risk reduction of anastomosis occlusion after CABG. • The addition of FFRCT into the integrated model including clinical (age and history of myocardial infarction) and anatomical CCTA indicators (local lesion and bifurcation) significantly improved the model performance with an AUC of 0.848 (p = 0.005). • Preoperative judgment of the hemodynamic significance may help improve the decision-making and surgery planning in patients indicated for CABG and significantly reduce graft failure, without an extra radiation exposure and risk of invasive procedure.
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Affiliation(s)
- Zi Yue Zu
- Department of Radiology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Peng Peng Xu
- Department of Radiology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Qian Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yan Chun Chen
- Department of Radiology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Jian Chen Qi
- Department of Radiology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Chun Xiang Tang
- Department of Radiology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Chang Sheng Zhou
- Department of Radiology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Cheng Xu
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Xin Jie Sun
- Department of Radiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Meng Jie Lu
- Shanghai Jiao Tong University, Shanghai, China
| | - Guang Ming Lu
- Department of Radiology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Yi Ning Wang
- Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Yi Xu
- Department of Radiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
| | - Long Jiang Zhang
- Department of Radiology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
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Yin ZH, Zhou CS, Guo J, Wei Y, Ma YF, Zhu WS, Zhang LJ. [Feasibility analysis of CT angiography derived computational fluid dynamics in evaluating intracranial artery stenosis]. Zhonghua Yi Xue Za Zhi 2022; 102:2634-2637. [PMID: 36058691 DOI: 10.3760/cma.j.cn112137-20220721-01596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
A retrospective study was performed on 8 patients, including 7 males and 1 female, aged 47 to 77 (59±3) years, with intracranial artery stenosis in General Hospital of Eastern Theater Command from November 2018 to May 2019, who underwent CT angiography (CTA), digital subtraction angiography (DSA) and invasive fractional flow reserve (FFR) assessment. Three-dimensional (3D) prototyping models of intracranial artery based on image data of CTA was constructed and the hemodynamic parameters were obtained using computational fluid dynamics methods. The results showed that CT-FFR value was 0.59±0.18, and invasive FFR value was 0.60±0.22, from which we propased that noninvasive hemodynamic analyses can be used to evaluate the physiological significance of intracranial arterial stenosis.
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Affiliation(s)
- Z H Yin
- Department of Diagnostic Radiology, Jinling Clinical Hospital of Nanjing Medical University/PLA General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - C S Zhou
- Department of Diagnostic Radiology, Jinling Clinical Hospital of Nanjing Medical University/PLA General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - J Guo
- Shanghai United Imaging Medical Technology Group Co. Ltd, Shanghai 201807, China
| | - Y Wei
- Shanghai United Imaging Medical Technology Group Co. Ltd, Shanghai 201807, China
| | - Y F Ma
- Shanghai United Imaging Medical Technology Group Co. Ltd, Shanghai 201807, China
| | - W S Zhu
- Department of Neurology, Jinling Hospital of Nanjing University/PLA General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - L J Zhang
- Department of Diagnostic Radiology, Jinling Clinical Hospital of Nanjing Medical University/PLA General Hospital of Eastern Theater Command, Nanjing 210002, China
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Qiao HY, Tang CX, Schoepf UJ, Bayer RR, Tesche C, Di Jiang M, Yin CQ, Zhou CS, Zhou F, Lu MJ, Jiang JW, Lu GM, Ni QQ, Zhang LJ. One-year outcomes of CCTA alone versus machine learning-based FFR CT for coronary artery disease: a single-center, prospective study. Eur Radiol 2022; 32:5179-5188. [PMID: 35175380 DOI: 10.1007/s00330-022-08604-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 12/25/2021] [Accepted: 01/20/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVES To explore downstream management and outcomes of machine learning (ML)-based CT derived fractional flow reserve (FFRCT) strategy compared with an anatomical coronary computed tomography angiography (CCTA) alone assessment in participants with intermediate coronary artery stenosis. METHODS In this prospective study conducted from April 2018 to March 2019, participants were assigned to either the CCTA or FFRCT group. The primary endpoint was the rate of invasive coronary angiography (ICA) that demonstrated non-obstructive disease at 90 days. Secondary endpoints included coronary revascularization and major adverse cardiovascular events (MACE) at 1-year follow-up. RESULTS In total, 567 participants were allocated to the CCTA group and 566 to the FFRCT group. At 90 days, the rate of ICA without obstructive disease was higher in the CCTA group (33.3%, 39/117) than that (19.8%, 19/96) in the FFRCT group (risk difference [RD] = 13.5%, 95% confidence interval [CI]: 8.4%, 18.6%; p = 0.03). The ICA referral rate was higher in the CCTA group (27.5%, 156/567) than in the FFRCT group (20.3%, 115/566) (RD = 7.2%, 95% CI: 2.3%, 12.1%; p = 0.003). The revascularization-to-ICA ratio was lower in the CCTA group than that in the FFRCT group (RD = 19.8%, 95% CI: 14.1%, 25.5%, p = 0.002). MACE was more common in the CCTA group than that in the FFRCT group at 1 year (HR: 1.73; 95% CI: 1.01, 2.95; p = 0.04). CONCLUSION In patients with intermediate stenosis, the FFRCT strategy appears to be associated with a lower rate of referral for ICA, ICA without obstructive disease, and 1-year MACE when compared to the anatomical CCTA alone strategy. KEY POINTS • In stable patients with intermediate stenosis, ML-based FFRCT strategy was associated with a lower referral ICA rate, a lower normalcy rate of ICA, and higher revascularization-to-ICA ratio than the CCTA strategy. • Compared with the CCTA strategy, ML-based FFRCTshows superior outcome prediction value which appears to be associated with a lower rate of 1-year MACE. • ML-based FFRCT strategy as a non-invasive "one-stop-shop" modality may be the potential to change diagnostic workflows in patients with suspected coronary artery disease.
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Affiliation(s)
- Hong Yan Qiao
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.,Department of Medical Imaging, Affiliated Hospital of Jiangnan University, Wuxi, 214041, Jiangsu, China
| | - Chun Xiang Tang
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - U Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC, 29425, USA
| | - Richard R Bayer
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC, 29425, USA
| | - Christian Tesche
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC, 29425, USA.,Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Munich, Germany.,Department of Internal Medicine, St. Johannes-Hospital, Dortmund, Germany
| | - Meng Di Jiang
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Chang Qing Yin
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Chang Sheng Zhou
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Fan Zhou
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Meng Jie Lu
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Jian Wei Jiang
- Department of Medical Imaging, Affiliated Hospital of Jiangnan University, Wuxi, 214041, Jiangsu, China
| | - Guang Ming Lu
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
| | - Qian Qian Ni
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Long Jiang Zhang
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
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Yang L, Xu PP, Schoepf UJ, Tesche C, Pillai B, Savage RH, Tang CX, Zhou F, Wei HD, Luo ZQ, Wang QG, Zhou CS, Lu MJ, Lu GM, Zhang LJ. Correction to: Serial coronary CT angiography-derived fractional flow reserve and plaque progression can predict long-term outcomes of coronary artery disease. Eur Radiol 2021; 32:2862-2863. [PMID: 34902062 DOI: 10.1007/s00330-021-08347-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Liu Yang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Peng Peng Xu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - U Joseph Schoepf
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.,Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, 29425, USA
| | - Christian Tesche
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, 29425, USA.,Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Munich, Germany.,Department of Internal Medicine, St. Johannes-Hospital, Dortmund, Germany
| | - Balakrishnan Pillai
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, 29425, USA
| | - Rock H Savage
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, 29425, USA
| | - Chun Xiang Tang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Fan Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Hao Dong Wei
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Zhong Qiang Luo
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Qing Gen Wang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Meng Jie Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
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Li JH, Tang CX, Liu TY, Chen YC, Zhou CS, Lu GM, Zhang JY, Zhang LJ, Yang G. [Association of coronary perivascular fat attenuation index, the parameters of plaque and fractional flow reserve]. Zhonghua Yi Xue Za Zhi 2021; 101:3214-3220. [PMID: 34689533 DOI: 10.3760/cma.j.cn112137-20210414-00889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the association of coronary perivascular fat attenuation index (FAI), the parameters of plaque and fractional flow reserve (FFR). Methods: A total of 113 patients (with 141 plaques) (78 males and 35 females, age from 40 to 83 years) with stable coronary artery disease were retrospectively collected from Jingling Hospital and Shanghai Sixth People's Hospital. All the patients underwent coronary CT angiography and invasive FFR examinations. The quantitative and qualitative parameters of plaque and vessel (such as the length and volume of plaque, the characteristics of plaque and high-risk plaque) and the FAI around the plaque were measured. The patients were divided into positive FAI group (n=46) and negative FAI group (n=66) according to the standard of whether the threshold of FAI≥ -70 HU. The quantitative indexes, including age, the length and volume of plaque, minimal lumen area (MLA) and FAI, as well as the qualitative indexed, including the characteristics of plaque, the number and characteristic of high-risk plaque and the number of patients and plaque with positive FFR were compared between the two groups. Further, logistic regression analysis was performed to analyze the correlation among myocardial ischemia, age, the length of plaque, minimal lumen area (MLA), FAI and so on. ROC curve was used for evaluating the performance of each parameter. Results: Compared to the negative FAI group, positive FAI group had lower MLA (2.00±1.33 mm2 vs 4.13±2.41 mm2, P<0.001). The proportion of patients and vessels with FFR<0.75 in positive FAI group were significantly higher than that in negative FAI group (21.3% vs 4.5%, P=0.006; 23.2% vs 8.2%, P=0.016). The FAI between high-risk plaque and non-high-risk plaque had no significant difference (21.2% vs 16.1%, P=0.451). FAI predicted myocardial ischemia (AUC=0.666, P=0.021) and significantly improved the prediction efficiency of complex model(0.915 vs 0.951,P=0.033). Conclusion: Lower MLA and higher incidence of myocardial ischemia were associated with patients with higher FAI. In addition, FAI has a certain prediction efficiency and can provide incremental value for the determination of myocardial ischemia.
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Affiliation(s)
- J H Li
- Department of Diagnostic Radiology, General Hospital of Eastern Theater Command/Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - C X Tang
- Department of Diagnostic Radiology, General Hospital of Eastern Theater Command/Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - T Y Liu
- Department of Diagnostic Radiology, General Hospital of Eastern Theater Command/Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - Y C Chen
- Department of Diagnostic Radiology, General Hospital of Eastern Theater Command/Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - C S Zhou
- Department of Diagnostic Radiology, General Hospital of Eastern Theater Command/Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - G M Lu
- Department of Diagnostic Radiology, General Hospital of Eastern Theater Command/Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - J Y Zhang
- Department of Radiology, Shanghai Sixth People's Hospital, Shanghai 200233, China
| | - L J Zhang
- Department of Diagnostic Radiology, General Hospital of Eastern Theater Command/Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - Guifen Yang
- Department of Nuclear Medicine, General Hospital of Eastern Theater Command/Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
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Luo S, Qiu XM, Zeng XJ, Zhang DY, Wan B, Li X, Tian RH, Wang JT, Wang MY, Zhu J, Zhang C, Yang R, Chen F, Liang Y, Fan B, Jiang HJ, Wang XM, Chen W, Xu K, Gao JB, Du C, Zhang LN, Yang Y, Jia SJ, Ren H, Zu ZY, Xu PP, Zhong J, Yang YT, Zhou CS, Zhang W, Liu XX, Zhang QR, Xia F, Qi L, Lu MJ, Zhang LJ, Liu YX, Lu GM. Coronary artery calcification and risk of mortality and adverse outcomes in patients with COVID-19: a Chinese multicenter retrospective cohort study. ACTA ACUST UNITED AC 2021; 5:20-28. [PMID: 34222797 PMCID: PMC8237549 DOI: 10.1007/s42058-021-00072-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 05/02/2021] [Accepted: 06/04/2021] [Indexed: 01/08/2023]
Abstract
Background Coronary artery calcification (CAC) is an independent risk factor of major adverse cardiovascular events; however, the impact of CAC on in-hospital death and adverse clinical outcomes in patients with coronavirus disease 2019 (COVID-19) remains unclear. Objective To explore the association between CAC and in-hospital mortality and adverse events in patients with COVID-19. Methods This multicenter retrospective cohort study enrolled 2067 laboratory-confirmed COVID-19 patients with definitive clinical outcomes (death or discharge) admitted from 22 tertiary hospitals in China between January 3, 2020 and April 2, 2020. Demographic, clinical, laboratory results, chest CT findings, and CAC on admission were collected. The primary outcome was in-hospital death and the secondary outcome was composed of in-hospital death, admission to intensive care unit (ICU), and requiring mechanical ventilation. Multivariable Cox regression analysis and Kaplan–Meier plots were used to explore the association between CAC and in-hospital death and adverse clinical outcomes. Results The mean age was 50 years (SD,16) and 1097 (53.1%) were male. A total of 177 patients showed high CAC level, and compared with patients with low CAC, these patients were older (mean age: 49 vs. 69 years, P < 0.001) and more likely to be male (52.0% vs. 65.0%, P = 0.001). Comorbidities, including cardiovascular disease (CVD) ([33.3%, 59/177] vs. [4.7%, 89/1890], P < 0.001), presented more often among patients with high CAC, compared with patients with low CAC. As for laboratory results, patients with high CAC had higher rates of increased D-dimer, LDH, as well as CK-MB (all P < 0.05). The mean CT severity score in high CAC group was also higher than low CAC group (12.6 vs. 11.1, P = 0.005). In multivariable Cox regression model, patients with high CAC were at a higher risk of in-hospital death (hazard ratio [HR], 1.731; 95% CI 1.010–2.971, P = 0.046) and adverse clinical outcomes (HR, 1.611; 95% CL 1.087–2.387, P = 0.018). Conclusion High CAC is a risk factor associated with in-hospital death and adverse clinical outcomes in patients with confirmed COVID-19, which highlights the importance of calcium load testing for hospitalized COVID-19 patients and calls for attention to patients with high CAC. Supplementary Information The online version contains supplementary material available at 10.1007/s42058-021-00072-4.
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Affiliation(s)
- Song Luo
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Xiao Ming Qiu
- Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Hubei, People's Republic of China
| | - Xian Jun Zeng
- Department of Imaging, the First Affiliated Hospital of Nanchang University, Nanchang, 330006 People's Republic of China
| | - Dong You Zhang
- Department of Radiology, Wuhan First Hospital, Wuhan, 430000 Hubei People's Republic of China
| | - Bing Wan
- Department of Medical Imaging, Jingzhou Central Hospital, The Second Clinical Medical College, Yangtze University, Jingzhou, Hubei People's Republic of China
| | - Xiao Li
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China.,Department of Radiology, Wuhan Huoshenshan Hospital, Wuhan, 430100 Hubei People's Republic of China
| | - Rong Hua Tian
- Department of Medical Imaging, Xiaogan Central Hospital of Wuhan University of Science and Technology, Xiaogan, Hubei People's Republic of China
| | - Jiang Tao Wang
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital Of Hubei University of Arts and Science, Xiangyang, 441000 Hubei People's Republic of China
| | - Mei Yun Wang
- Department of Radiology, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou University, Henan, People's Republic of China
| | - Juan Zhu
- Department of Medical Imaging, the Affiliated Anqing Hospital of Anhui Medical University, Anqing, Anhui People's Republic of China
| | - Can Zhang
- Department of Radiology, Yichang Central People's Hospital, Yichang, Hubei People's Republic of China
| | - Ran Yang
- Department of Radiology, Chongqing Sanxia Central Hospital, Chongqing, People's Republic of China
| | - Feng Chen
- Department of Radiology, Hainan General Hospital, Haikou, Hainan People's Republic of China
| | - Yi Liang
- Department of Radiology, General Hospital of the Yangtze River Shipping, Wuhan, Hubei People's Republic of China
| | - Bin Fan
- Department of Radiology, Huanggang Central Hospital, Huangzhou District, No. 11, Kaopeng Road, Huanggang, Hubei People's Republic of China
| | - Hui Jie Jiang
- Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150000 Heilongjiang People's Republic of China
| | - Xi Ming Wang
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong People's Republic of China
| | - Wei Chen
- Department of Medical Imaging, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang People's Republic of China
| | - Kai Xu
- Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu People's Republic of China
| | - Jian Bo Gao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China
| | - Chao Du
- Department of Radiology, Nanjing Second Hospital, Nanjing, 210000 Jiangsu People's Republic of China
| | - Li Na Zhang
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Yi Yang
- Department of Radiology, Wuhan First Hospital, Wuhan, 430000 Hubei People's Republic of China
| | - Shi Jun Jia
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital Of Hubei University of Arts and Science, Xiangyang, 441000 Hubei People's Republic of China
| | - Hao Ren
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital Of Hubei University of Arts and Science, Xiangyang, 441000 Hubei People's Republic of China
| | - Zi Yue Zu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Peng Peng Xu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Jing Zhong
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Yu Ting Yang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Wei Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Xiao Xue Liu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Qi Rui Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Fei Xia
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Li Qi
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Meng Jie Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Yu Xiu Liu
- Department of Medical Statistics, Jinling Hospital, School of Public Health of Southern Medical University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
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9
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Liu CY, Tang CX, Zhang XL, Chen S, Xie Y, Zhang XY, Qiao HY, Zhou CS, Xu PP, Lu MJ, Li JH, Lu GM, Zhang LJ. Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality. Eur J Radiol 2021; 142:109835. [PMID: 34237493 DOI: 10.1016/j.ejrad.2021.109835] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 05/28/2021] [Accepted: 06/23/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVES To investigate the effect of reader experience, calcification and image quality on the performance of deep learning (DL) powered coronary CT angiography (CCTA) in automatically detecting obstructive coronary artery disease (CAD) with invasive coronary angiography (ICA) as reference standard. METHODS A total of 165 patients (680 vessels and 1505 segments) were included in this study. Three sessions were performed in order: (1) The artificial intelligence (AI) software automatically processed CCTA images, stenosis degree and processing time were recorded for each case; (2) Six cardiovascular radiologists with different experiences (low/ intermediate/ high experience) independently performed image post-processing and interpretation of CCTA, (3) AI + human reading was performed. Luminal stenosis ≥50% was defined as obstructive CAD in ICA and CCTA. Diagnostic performances of AI, human reading and AI + human reading were evaluated and compared on a per-patient, per-vessel and per-segment basis with ICA as reference standard. The effects of calcification and image quality on the diagnostic performance were also studied. RESULTS The average post-processing and interpretation times of AI was 2.3 ± 0.6 min per case, reduced by 76%, 72%, 69% compared with low/ intermediate/ high experience readers (all P < 0.001), respectively. On a per-patient, per-vessel and per-segment basis, with ICA as reference method, the AI overall diagnostic sensitivity for detecting obstructive CAD were 90.5%, 81.4%, 72.9%, the specificity was 82.3%, 93.9%, 95.0%, with the corresponding areas under the curve (AUCs) of 0.90, 0.90, 0.87, respectively. Compared to human readers, the diagnostic performance of AI was higher than that of low experience readers (all P < 0.001). The diagnostic performance of AI + human reading was higher than human reading alone, and AI + human readers' ability to correctly reclassify obstructive CAD was also improved, especially for low experience readers (Per-patient, the net reclassification improvement (NRI) = 0.085; per-vessel, NRI = 0.070; and per-segment, NRI = 0.068, all P < 0.001). The diagnostic performance of AI was not significantly affected by calcification and image quality (all P > 0.05). CONCLUSIONS AI can substantially shorten the post-processing time, while AI + human reading model can significantly improve the diagnostic performance compared with human readers, especially for inexperienced readers, regardless of calcification severity and image quality.
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Affiliation(s)
- Chun Yu Liu
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Chun Xiang Tang
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Xiao Lei Zhang
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Sui Chen
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Yuan Xie
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Xin Yuan Zhang
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Hong Yan Qiao
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Chang Sheng Zhou
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Peng Peng Xu
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Meng Jie Lu
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Jian Hua Li
- Department of Cardiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Guang Ming Lu
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China
| | - Long Jiang Zhang
- Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, PR China.
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Tang CX, Guo BJ, Schoepf JU, Bayer RR, Liu CY, Qiao HY, Zhou F, Lu GM, Zhou CS, Zhang LJ. Feasibility and prognostic role of machine learning-based FFR CT in patients with stent implantation. Eur Radiol 2021; 31:6592-6604. [PMID: 33864504 DOI: 10.1007/s00330-021-07922-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 02/25/2021] [Accepted: 03/22/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVES To investigate the feasibility and prognostic implications of coronary CT angiography (CCTA) derived fractional flow reserve (FFRCT) in patients who have undergone stents implantation. METHODS Firstly, the feasibility of FFRCT in stented vessels was validated. The diagnostic performance of FFRCT in identifying hemodynamically in-stent restenosis (ISR) in 33 patients with invasive FFR ≤ 0.88 as reference standard, intra-group correlation coefficient (ICC) between FFRCT and FFR was calculated. Secondly, prognostic value was assessed with 115 patients with serial CCTA scans after PCI. Stent characteristics (location, diameter, length, etc.), CCTA measurements (minimum lumen diameter [MLD], minimum lumen area [MLA], ISR), and FFRCT measurements (FFRCT, ΔFFRCT, ΔFFRCT/stent length) both at baseline and follow-up were recorded. Longitudinal analysis included changes of MLD, MLA, ISR, and FFRCT. The primary endpoint was major adverse cardiovascular events (MACE). RESULTS Per-patient accuracy of FFRCT was 0.85 in identifying hemodynamically ISR. FFRCT had a good correlation with FFR (ICC = 0.84). 15.7% (18/115) developed MACE during 25 months since follow-up CCTA. Lasso regression identified age and follow-up ΔFFRCT/length as candidate variables. In the Cox proportional hazards model, age (hazard ratio [HR], 1.102 [95% CI, 1.032-1.177]; p = 0.004) and follow-up ΔFFRCT/length (HR, 1.014 [95% CI, 1.006-1.023]; p = 0.001) were independently associated with MACE (c-index = 0.856). Time-dependent ROC analysis showed AUC was 0.787 (95% CI, 0.594-0.980) at 25 months to predict adverse outcome. After bootstrap validation with 1000 resamplings, the bias-corrected c-index was 0.846. CONCLUSIONS Noninvasive ML-based FFRCT is feasible in patients following stents implantation and shows prognostic value in predicting adverse events after stents implantation in low-moderate risk patients. KEY POINTS • Machine-learning-based FFRCT is feasible to evaluate the functional significance of in-stent restenosis in patients with stent implantation. • Follow-up △FFRCT along with the stent length might have prognostic implication in patients with stent implantation and low-to-moderate risk after 2 years follow-up. The prognostic role of FFRCT in patients with moderate-to-high or high risk needs to be further studied. • FFRCT might refine the clinical pathway of patients with stent implantation to invasive catheterization.
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Affiliation(s)
- Chun Xiang Tang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Bang Jun Guo
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Joseph U Schoepf
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC, 29425, USA
| | - Richard R Bayer
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC, 29425, USA
| | - Chun Yu Liu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Hong Yan Qiao
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Fan Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
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Shi Z, Chen GZ, Mao L, Li XL, Zhou CS, Xia S, Zhang YX, Zhang B, Hu B, Lu GM, Zhang LJ. Machine Learning-Based Prediction of Small Intracranial Aneurysm Rupture Status Using CTA-Derived Hemodynamics: A Multicenter Study. AJNR Am J Neuroradiol 2021; 42:648-654. [PMID: 33664115 PMCID: PMC8041003 DOI: 10.3174/ajnr.a7034] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 11/09/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND AND PURPOSE Small intracranial aneurysms are being increasingly detected while the rupture risk is not well-understood. We aimed to develop rupture-risk models of small aneurysms by combining clinical, morphologic, and hemodynamic information based on machine learning techniques and to test the models in external validation datasets. MATERIALS AND METHODS From January 2010 to December 2016, five hundred four consecutive patients with only small aneurysms (<5 mm) detected by CTA and invasive cerebral angiography (or surgery) were retrospectively enrolled and randomly split into training (81%) and internal validation (19%) sets to derive and validate the proposed machine learning models (support vector machine, random forest, logistic regression, and multilayer perceptron). Hemodynamic parameters were obtained using computational fluid dynamics simulation. External validation was performed in other hospitals to test the models. RESULTS The support vector machine performed the best with areas under the curve of 0.88 (95% CI, 0.85-0.92) and 0.91 (95% CI, 0.74-0.98) in the training and internal validation datasets, respectively. Feature ranks suggested hemodynamic parameters, including stable flow pattern, concentrated inflow streams, and a small (<50%) flow-impingement zone, and the oscillatory shear index coefficient of variation, were the best predictors of aneurysm rupture. The support vector machine showed an area under the curve of 0.82 (95% CI, 0.69-0.94) in the external validation dataset, and no significant difference was found for the areas under the curve between internal and external validation datasets (P = .21). CONCLUSIONS This study revealed that machine learning had a good performance in predicting the rupture status of small aneurysms in both internal and external datasets. Aneurysm hemodynamic parameters were regarded as the most important predictors.
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Affiliation(s)
- Z Shi
- From the Department of Diagnostic Radiology (Z.S., C.S.Z., B.H., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - G Z Chen
- Department of Medical Imaging (G.Z.C.), Nanjing First Hospital, Nanjing, Jiangsu, China
| | - L Mao
- Deepwise AI Lab (L.M., X.L.L.), Beijing, China
| | - X L Li
- Deepwise AI Lab (L.M., X.L.L.), Beijing, China
| | - C S Zhou
- From the Department of Diagnostic Radiology (Z.S., C.S.Z., B.H., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - S Xia
- Department of Radiology (S.X.), Tianjin First Central Hospital, Tianjin, China
| | - Y X Zhang
- Laboratory of Image Science and Technology (Y.X.Z.), School of Computer Science and Engineering, Southeast University, Nanjing, China
| | - B Zhang
- Department of Radiology (B.Z.), Taizhou People's Hospital, Taizhou, Jiangsu, China
| | - B Hu
- From the Department of Diagnostic Radiology (Z.S., C.S.Z., B.H., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - G M Lu
- From the Department of Diagnostic Radiology (Z.S., C.S.Z., B.H., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - L J Zhang
- From the Department of Diagnostic Radiology (Z.S., C.S.Z., B.H., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
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Lyu WH, Xia F, Zhou CS, Huang M, Ding WW, Zhang S, Liu F, Ma JC, Li XL, Yu YZ, Zhang LJ, Lu GM. [Application of deep learning-based chest CT auxiliary diagnosis system in emergency trauma patients]. Zhonghua Yi Xue Za Zhi 2021; 101:481-486. [PMID: 33631892 DOI: 10.3760/cma.j.cn112137-20201117-03123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the diagnostic efficacy and potential application value of deep learning-based chest CT auxiliary diagnosis system in emergency trauma patients. Methods: A total of 403 patients, including 254 males and 149 females aged from 16 to 100 (50±19) years, who received emergency treatment for trauma and chest CT examination in the Eastern Theater General Hospital from September 2019 to November 2019 were retrospectively analyzed. Dr. Wise Lung Analyzer's chest CT auxiliary diagnosis system was applied to detect 5 types of injuries, including pneumothorax, pleural effusion/hemothorax, pulmonary contusion (shown as consolidation and ground glass opacity), rib fractures, and other fractures (including thoracic vertebrae, sternum, scapula and clavicle, etc.) and 6 other abnormalities (bullae, emphysema, pulmonary nodules, stripe, reticulation, pleural thickening). The diagnostic reference standards were labeled by two radiologists independently. The sensitivity and specificity of the auxiliary diagnosis system were evaluated. The imaging diagnostic reports were compared with the results of the auxiliary diagnosis system, and the diagnostic consistency between the two was calculated by using the Kappa test. Results: According to the reference standards, among the 403 patients, 29 were pneumothorax, 75 were pleural effusion/hemothorax, 131 were pulmonary contusion, 124 were rib fractures, and 63 were other fractures. The sensitivity and specificity of the auxiliary diagnosis system for detection of pneumothorax, pleural effusion/hemothorax, rib fractures, and other fractures were 96.6%, 97.6%, 80.0%, 99.7%, 99.2%, 83.9%, 84.1%, and 99.7%, respectively. The sensitivity of detecting lung contusion was 97.7%. There was a high consistency between the auxiliary diagnosis system and imaging diagnosis in the diagnosis of injuries, in which the kappa values of pneumothorax, pleural effusion, rib fracture and other fractures were 0.783, 0.821, 0.706 and 0.813, respectively (all P<0.001). Two cases of pneumothorax, three cases of pleural effusion/hemothorax, nine cases of rib fractures, and six cases of other fractures missed by imaging diagnosis were all detected by the auxiliary diagnosis system. The detection sensitivity of the auxiliary diagnosis system was higher for emphysema, pulmonary nodules and stripe (all>85%), but lower for bullae, reticulation and pleural thickening. Conclusions: The deep learning-based chest CT auxiliary diagnosis system could effectively assist chest CT to detect injuries in emergency trauma patients, which was expected to optimize the clinical workflow.
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Affiliation(s)
- W H Lyu
- Department of Medical Imaging, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, 210002, China
| | - F Xia
- Department of Medical Imaging, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, 210002, China
| | - C S Zhou
- Department of Medical Imaging, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, 210002, China
| | - M Huang
- Department of Medical Imaging, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, 210002, China
| | - W W Ding
- Department of General Surgery, Jinling Hospital, Southern Medical University, Nanjing 210002, China
| | - S Zhang
- Deepwise AI Lab, Deepwise Inc., Beijing 100080, China
| | - F Liu
- Deepwise AI Lab, Deepwise Inc., Beijing 100080, China
| | - J C Ma
- Deepwise AI Lab, Deepwise Inc., Beijing 100080, China
| | - X L Li
- Deepwise AI Lab, Deepwise Inc., Beijing 100080, China
| | - Y Z Yu
- Deepwise AI Lab, Deepwise Inc., Beijing 100080, China
| | - L J Zhang
- Department of Medical Imaging, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, 210002, China
| | - G M Lu
- Department of Medical Imaging, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, 210002, China
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Qiao HY, Li JH, Schoepf UJ, Bayer RR, Tinnefeld FC, Di Jiang M, Yang F, Guo BJ, Zhou CS, Ge YQ, Lu MJ, Jiang JW, Lu GM, Zhang LJ. Prognostic implication of CT-FFR based functional SYNTAX score in patients with de novo three-vessel disease. Eur Heart J Cardiovasc Imaging 2020:jeaa256. [PMID: 33184644 DOI: 10.1093/ehjci/jeaa256] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 08/22/2020] [Indexed: 02/01/2023] Open
Abstract
AIMS This study was aimed at investigating whether a machine learning (ML)-based coronary computed tomographic angiography (CCTA) derived fractional flow reserve (CT-FFR) SYNTAX score (SS), 'Functional SYNTAX score' (FSSCTA), would predict clinical outcome in patients with three-vessel coronary artery disease (CAD). METHODS AND RESULTS The SS based on CCTA (SSCTA) and ICA (SSICA) were retrospectively collected in 227 consecutive patients with three-vessel CAD. FSSCTA was calculated by combining the anatomical data with functional data derived from a ML-based CT-FFR assessment. The ability of each score system to predict major adverse cardiac events (MACE) was compared. The difference between revascularization strategies directed by the anatomical SS and FSSCTA was also assessed. Two hundred and twenty-seven patients were divided into two groups according to the SSCTA cut-off value of 22. After determining FSSCTA for each patient, 22.9% of patients (52/227) were reclassified to a low-risk group (FSSCTA ≤ 22). In the low- vs. intermediate-to-high (>22) FSSCTA group, MACE occurred in 3.2% (4/125) vs. 34.3% (35/102), respectively (P < 0.001). The independent predictors of MACE were FSSCTA (OR = 1.21, P = 0.001) and diabetes (OR = 2.35, P = 0.048). FSSCTA demonstrated a better predictive accuracy for MACE compared with SSCTA (AUC: 0.81 vs. 0.75, P = 0.01) and SSICA (0.81 vs. 0.75, P < 0.001). After FSSCTA was revealed, 52 patients initially referred for CABG based on SSCTA would have been changed to PCI. CONCLUSION Recalculating SS by incorporating lesion-specific ischaemia as determined by ML-based CT-FFR is a better predictor of MACE in patients with three-vessel CAD. Additionally, the use of FSSCTA may alter selected revascularization strategies in these patients.
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Affiliation(s)
- Hong Yan Qiao
- Department of Medical Imaging, Jinling Clinical College of Nanjing Medical University, Nanjing, Jiangsu 210002, China
- Department of Medical Imaging, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214041, China
| | - Jian Hua Li
- Department of Cardiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China
| | - U Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC 29425, USA
| | - Richard R Bayer
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC 29425, USA
| | - Fiona C Tinnefeld
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC 29425, USA
| | - Meng Di Jiang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China
| | - Fei Yang
- Department of Medical Imaging, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214041, China
| | - Bang Jun Guo
- Department of Medical Imaging, Jinling Hospital, Medical School of Southern Medical University, Nanjing, Jiangsu 210002, China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Clinical College of Nanjing Medical University, Nanjing, Jiangsu 210002, China
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China
| | - Ying Qian Ge
- CT Scientific Marketing, Siemens Healthcare, Shanghai, China
| | - Meng Jie Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China
| | - Jian Wei Jiang
- Department of Medical Imaging, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214041, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Clinical College of Nanjing Medical University, Nanjing, Jiangsu 210002, China
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China
- Department of Medical Imaging, Jinling Hospital, Medical School of Southern Medical University, Nanjing, Jiangsu 210002, China
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14
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Lin ZX, Zhou F, Schoepf UJ, Pillai B, Zhou CS, Quan W, Bao XQ, Lu GM, Zhang LJ. Tube Voltage, DNA Double-Strand Breaks, and Image Quality in Coronary CT Angiography. Korean J Radiol 2020; 21:967-977. [PMID: 32677381 PMCID: PMC7369208 DOI: 10.3348/kjr.2019.0932] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 02/16/2020] [Accepted: 03/05/2020] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE To evaluate the effects of tube voltage on image quality in coronary CT angiography (CCTA), the estimated radiation dose, and DNA double-strand breaks (DSBs) in peripheral blood lymphocytes to optimize the use of CCTA in the era of low radiation doses. MATERIALS AND METHODS This study included 240 patients who were divided into 2 groups according to the DNA DSB analysis methods, i.e., immunofluorescence microscopy and flow cytometry. Each group was subdivided into 4 subgroups: those receiving CCTA only with different tube voltages of 120, 100, 80, or 70 kVp. Objective and subjective image quality was evaluated by analysis of variance. Radiation dosages were also recorded and compared. RESULTS There was no significant difference in demographic characteristics between the 2 groups and 4 subgroups in each group (all p > 0.05). As tube voltage decreased, both image quality and radiation dose decreased gradually and significantly. After CCTA, γ-H2AX foci and mean fluorescence intensity in the 120-, 100-, 80-, and 70-kVp groups increased by 0.14, 0.09, 0.07, and 0.06 foci per cell and 21.26, 9.13, 8.10, and 7.13 (all p < 0.05), respectively. The increase in the DNA DSB level in the 120-kVp group was higher than those in the other 3 groups (all p < 0.05), while there was no significant difference in the DSBs levels among these latter groups (all p > 0.05). CONCLUSION The 100-kVp tube voltage may be optimal for CCTA when weighing DNA DSBs against the estimated radiation dose and image quality, with further reductions in tube voltage being unnecessary for CCTA.
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Affiliation(s)
- Zhu Xiao Lin
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.,Department of Medical Imaging, Yantaishan Hospital, Yantai, China
| | - Fan Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - U Joseph Schoepf
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.,Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Balakrishnan Pillai
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Wei Quan
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Xue Qin Bao
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
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15
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Di Jiang M, Zhang XL, Liu H, Tang CX, Li JH, Wang YN, Xu PP, Zhou CS, Zhou F, Lu MJ, Zhang JY, Yu MM, Hou Y, Zheng MW, Zhang B, Zhang DM, Yi Y, Xu L, Hu XH, Yang J, Lu GM, Ni QQ, Zhang LJ. The effect of coronary calcification on diagnostic performance of machine learning-based CT-FFR: a Chinese multicenter study. Eur Radiol 2020; 31:1482-1493. [PMID: 32929641 DOI: 10.1007/s00330-020-07261-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 07/23/2020] [Accepted: 09/04/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To investigate the effect of coronary calcification morphology and severity on the diagnostic performance of machine learning (ML)-based coronary CT angiography (CCTA)-derived fractional flow reserve (CT-FFR) with FFR as a reference standard. METHODS A total of 442 patients (61.2 ± 9.1 years, 70% men) with 544 vessels who underwent CCTA, ML-based CT-FFR, and invasive FFR from China multicenter CT-FFR study were enrolled. The effect of calcification arc, calcification remodeling index (CRI), and Agatston score (AS) on the diagnostic performance of CT-FFR was investigated. CT-FFR ≤ 0.80 and lumen reduction ≥ 50% determined by CCTA were identified as vessel-specific ischemia with invasive FFR as a reference standard. RESULTS Compared with invasive FFR, ML-based CT-FFR yielded an overall sensitivity of 0.84, specificity of 0.94, and accuracy of 0.90 in a total of 344 calcification lesions. There was no statistical difference in diagnostic accuracy, sensitivity, or specificity of CT-FFR across different calcification arc, CRI, or AS levels. CT-FFR exhibited improved discrimination of ischemia compared with CCTA alone in lesions with mild-to-moderate calcification (AUC, 0.89 vs. 0.69, p < 0.001) and lesions with CRI ≥ 1 (AUC, 0.89 vs. 0.71, p < 0.001). The diagnostic accuracy and specificity of CT-FFR were higher than CCTA alone in patients and vessels with mid (100 to 299) or high (≥ 300) AS. CONCLUSION Coronary calcification morphology and severity did not influence diagnostic performance of CT-FFR in ischemia detection, and CT-FFR showed marked improved discrimination of ischemia compared with CCTA alone in the setting of calcification. KEY POINTS • CT-FFR provides superior diagnostic performance than CCTA alone regardless of coronary calcification. • No significant differences in the diagnostic performance of CT-FFR were observed in coronary arteries with different coronary calcification arcs and calcified remodeling indexes. • No significant differences in the diagnostic accuracy of CT-FFR were observed in coronary arteries with different coronary calcification score levels.
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Affiliation(s)
- Meng Di Jiang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Xiao Lei Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Hui Liu
- Department of Radiology, Guangdong General Hospital, Guangzhou, 510080, China
| | - Chun Xiang Tang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Jian Hua Li
- Department of Cardiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Yi Ning Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Peng Peng Xu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Fan Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Meng Jie Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Jia Yin Zhang
- Institute of Diagnostic and Interventional Radiology and Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Meng Meng Yu
- Institute of Diagnostic and Interventional Radiology and Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Yang Hou
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110001, China
| | - Min Wen Zheng
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shanxi, China
| | - Bo Zhang
- Department of Radiology, Jiangsu Taizhou People's Hospital, Taizhou, 225300, China
| | - Dai Min Zhang
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, Jiangsu, China
| | - Yan Yi
- Institute of Diagnostic and Interventional Radiology and Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 10029, China
| | - Xiu Hua Hu
- Department of Radiology, Shaoyifu Hospital Affiliated to Medical College of Zhejiang University, Hangzhou, 310016, China
| | - Jian Yang
- Department of Radiology, the First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Qian Qian Ni
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
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Wang Y, Luo S, Zhou CS, Wen ZQ, Chen W, Chen W, Liao WH, Liu J, Yang Y, Shi JC, Liu SD, Xia F, Yan ZH, Lu X, Chen T, Yan F, Zhang B, Zhang DY, Sun ZY. Clinical and radiological characteristics of COVID-19: a multicentre, retrospective, observational study. Hong Kong Med J 2020; 27:7-17. [PMID: 32848097 DOI: 10.12809/hkmj208725] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Y Wang
- Department of Radiology, The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - S Luo
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - CS Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - ZQ Wen
- Department of Outpatient, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - W Chen
- Department of Radiology, Jinling Hospital, Southern Medical University, Nanjing, Jiangsu, China; Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - W Chen
- Department of Medical Imaging, Taihe Hospital, Shiyan, Hubei, China
| | - WH Liao
- Department of Medical Imaging, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - J Liu
- Department of Medical Imaging, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Y Yang
- Department of Medical Imaging, Wuhan First Hospital, Wuhan, Hubei, China
| | - JC Shi
- Department of Infectious Disease, Wenzhou Central Hospital, Wenzhou, Zhejiang, China
| | - SD Liu
- Department of Infectious Disease, Wenzhou Central Hospital, Wenzhou, Zhejiang, China
| | - F Xia
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - ZH Yan
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - X Lu
- State Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - T Chen
- Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - F Yan
- State Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - B Zhang
- Department of Radiology, The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - DY Zhang
- Department of Medical Imaging, Wuhan First Hospital, Wuhan, Hubei, China
| | - ZY Sun
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
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Yao ZZ, Tan HC, Chen JF, Jin T, Zhou CS, Liang J, Hu AX. Suppression of p38/HBP1 pathway alleviates hyperosmotic stress-induced senescent progression of chondrocyte senescence. J BIOL REG HOMEOS AG 2020; 34:357-366. [PMID: 32549582 DOI: 10.23812/20-63-a-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
This study aims to explore the effect of p38 mitogen-activated protein kinase and its downstream target HMG-box transcription factor 1 (HBP1) in the chondrocyte (CH) senescence caused by hyperosmotic stress. Human cartilage tissue with or without osteoarthritis (OA) were collected to detect the differential expression of p38 and HBP1 by Western blot. CHs were isolated from cartilage without OA and used the hyperosmotic medium to accelerate CH senescence in vitro. A p38 inhibitor and siRNA were used to mediate the expression of p38 and HBP1. The viability of CHs was determined by cell counting kit 8 (CCK8) assay. CH-related mRNA expression was analyzed by quantitative real-time polymerase chain reaction (RT-PCR). Immunofluorescence was also used to detect collagen II and beta-galactosidase expression. Senescent cells were increased in both OA cartilage and hyperosmotic stress treatment with a marked upregulation of p38 and HBP1. Suppression of p38 activation reversed the hyperosmotic stress-induced CH senescence and led to an inhibition of HBP1, p16, Runx-2, MMP-13, collagen X expression, and an upregulation of collagen II and SOX-9 expression. Moreover, the silencing of HBP1 also played a protective effect on CH senescence. The suppression of the p38/HBP1 pathway alleviates the hyperosmotic stress-induced senescent progression of CHs.
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Affiliation(s)
- Z Z Yao
- Department of Orthopedic Surgery, The People's Hospital of China Three Gorges University/The First People's Hospital of Yichang, Yichang, China
| | - H C Tan
- Department of Orthopedic Surgery, The People's Hospital of China Three Gorges University/The First People's Hospital of Yichang, Yichang, China
| | - J F Chen
- Department of Orthopedic Surgery, The People's Hospital of China Three Gorges University/The First People's Hospital of Yichang, Yichang, China
| | - T Jin
- Department of Orthopedic Surgery, The People's Hospital of China Three Gorges University/The First People's Hospital of Yichang, Yichang, China
| | - C S Zhou
- Department of Orthopedic Surgery, The People's Hospital of China Three Gorges University/The First People's Hospital of Yichang, Yichang, China
| | - J Liang
- Department of Orthopedic Surgery, The People's Hospital of China Three Gorges University/The First People's Hospital of Yichang, Yichang, China
| | - A X Hu
- Department of Orthopedic Surgery, The People's Hospital of China Three Gorges University/The First People's Hospital of Yichang, Yichang, China
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Qiao HY, Tang CX, Schoepf UJ, Tesche C, Bayer RR, Giovagnoli DA, Todd Hudson H, Zhou CS, Yan J, Lu MJ, Zhou F, Lu GM, Jiang JW, Zhang LJ. Impact of machine learning–based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease. Eur Radiol 2020; 30:5841-5851. [DOI: 10.1007/s00330-020-06964-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 04/02/2020] [Accepted: 05/15/2020] [Indexed: 12/12/2022]
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Xu PP, Tian RH, Luo S, Zu ZY, Fan B, Wang XM, Xu K, Wang JT, Zhu J, Shi JC, Chen F, Wan B, Yan ZH, Wang RP, Chen W, Fan WH, Zhang C, Lu MJ, Sun ZY, Zhou CS, Zhang LN, Xia F, Qi L, Zhang W, Zhong J, Liu XX, Zhang QR, Lu GM, Zhang LJ. Risk factors for adverse clinical outcomes with COVID-19 in China: a multicenter, retrospective, observational study. Am J Cancer Res 2020; 10:6372-6383. [PMID: 32483458 PMCID: PMC7255028 DOI: 10.7150/thno.46833] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 05/04/2020] [Indexed: 01/08/2023] Open
Abstract
Background: The risk factors for adverse events of Coronavirus Disease-19 (COVID-19) have not been well described. We aimed to explore the predictive value of clinical, laboratory and CT imaging characteristics on admission for short-term outcomes of COVID-19 patients. Methods: This multicenter, retrospective, observation study enrolled 703 laboratory-confirmed COVID-19 patients admitted to 16 tertiary hospitals from 8 provinces in China between January 10, 2020 and March 13, 2020. Demographic, clinical, laboratory data, CT imaging findings on admission and clinical outcomes were collected and compared. The primary endpoint was in-hospital death, the secondary endpoints were composite clinical adverse outcomes including in-hospital death, admission to intensive care unit (ICU) and requiring invasive mechanical ventilation support (IMV). Multivariable Cox regression, Kaplan-Meier plots and log-rank test were used to explore risk factors related to in-hospital death and in-hospital adverse outcomes. Results: Of 703 patients, 55 (8%) developed adverse outcomes (including 33 deceased), 648 (92%) discharged without any adverse outcome. Multivariable regression analysis showed risk factors associated with in-hospital death included ≥ 2 comorbidities (hazard ratio [HR], 6.734; 95% CI; 3.239-14.003, p < 0.001), leukocytosis (HR, 9.639; 95% CI, 4.572-20.321, p < 0.001), lymphopenia (HR, 4.579; 95% CI, 1.334-15.715, p = 0.016) and CT severity score > 14 (HR, 2.915; 95% CI, 1.376-6.177, p = 0.005) on admission, while older age (HR, 2.231; 95% CI, 1.124-4.427, p = 0.022), ≥ 2 comorbidities (HR, 4.778; 95% CI; 2.451-9.315, p < 0.001), leukocytosis (HR, 6.349; 95% CI; 3.330-12.108, p < 0.001), lymphopenia (HR, 3.014; 95% CI; 1.356-6.697, p = 0.007) and CT severity score > 14 (HR, 1.946; 95% CI; 1.095-3.459, p = 0.023) were associated with increased odds of composite adverse outcomes. Conclusion: The risk factors of older age, multiple comorbidities, leukocytosis, lymphopenia and higher CT severity score could help clinicians identify patients with potential adverse events.
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Qi R, Chen W, Liu S, Thompson PM, Zhang LJ, Xia F, Cheng F, Hong A, Surento W, Luo S, Sun ZY, Zhou CS, Li L, Jiang X, Lu GM. Psychological morbidities and fatigue in patients with confirmed COVID-19 during disease outbreak: prevalence and associated biopsychosocial risk factors. medRxiv 2020:2020.05.08.20031666. [PMID: 32511502 PMCID: PMC7273270 DOI: 10.1101/2020.05.08.20031666] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Objective The coronavirus disease 2019 (COVID-19) - a novel and highly infectious pneumonia - has now spread across China and beyond for over four months. However, its psychological impact on patients is unclear. We aim to examine the prevalence and associated risk factors for psychological morbidities and fatigue in patients with confirmed COVID-19 infection. Methods Amidst the disease outbreak, 41 out of 105 COVID-19 patients in a local designated hospital in China were successfully assessed using a constellation of psychometric questionnaires to determine their psychological morbidities and fatigue. Several potential biopsychosocial risk factors (including pre-existing disabilities, CT severity score of pneumonia, social support, coping strategies) were assessed through multivariable logistic regression analyses to clarify their association with mental health in patients. Results 43.9% of 41 patients presented with impaired general mental health, 12.2% had post-traumatic stress disorder (PTSD) symptoms, 26.8% had anxiety and/or depression symptoms, and 53.6% had fatigue. We did not find any association between pneumonia severity and psychological morbidities or fatigue in COVID-19 patients. However, high perceived stigmatization was associated with an increased risk of impaired general mental health and high perceived social support was associated with decreased risk. Besides, negative coping inclination was associated with an increased risk of PTSD symptoms; high perceived social support was associated with a decreased risk of anxiety and/or depression symptoms. Conclusions Psychological morbidities and chronic fatigue are common among COVID-19 patients. Negative coping inclination and being stigmatized are primary risk factors while perceived social support is the main protective factor.
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Affiliation(s)
- Rongfeng Qi
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
- Department of Radiology, Jinling Hospital, Southern Medical University, Nanjing, Jiangsu, 210002, China
| | - Wei Chen
- Department of Radiology, Jinling Hospital, Southern Medical University, Nanjing, Jiangsu, 210002, China
- Department of Radiology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Xueyuanxi Road, No 109, Wenzhou, Zhejiang, 325027, China
| | - Saiduo Liu
- Departments of Infectious Disease, Wenzhou Central Hospital, 32 West Jiangbin Road, Wenzhou, Zhejiang, 325000, China
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA 90292, USA
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Fei Xia
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Fang Cheng
- Departments of Infectious Disease, Wenzhou Central Hospital, 32 West Jiangbin Road, Wenzhou, Zhejiang, 325000, China
| | - Ailing Hong
- Departments of Infectious Disease, Wenzhou Central Hospital, 32 West Jiangbin Road, Wenzhou, Zhejiang, 325000, China
| | - Wesley Surento
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA 90292, USA
| | - Song Luo
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Zhi Yuan Sun
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Lingjiang Li
- Mental Health Institute of the Second Xiangya Hospital, Central South University, China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Xiangao Jiang
- Departments of Infectious Disease, Wenzhou Central Hospital, 32 West Jiangbin Road, Wenzhou, Zhejiang, 325000, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
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Wang L, Yang SJ, Tan YZ, Luo S, Kong X, Tang CX, Lu MJ, Qi L, Zhou CS, Lu GM, Zhang LJ, Li YM. [Radiation dose and image quality of noncontrast chest CT in domestic and imported main stream manufacturers]. Zhonghua Yi Xue Za Zhi 2020; 100:1148-1153. [PMID: 32311878 DOI: 10.3760/cma.j.cn112137-20190903-01957] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To compare the radiation dose and image quality of noncontrast chest CT and detection of ground-glass opacity pulmonary nodules (GGN) in domestic 128-slice spiral CT with the other CT scanners from three main stream manufacturers. Methods: From May 8, 2018 to October 31, 2018, noncontrast chest CT images from Neusoft 128-slice CT (75 males, 25 females, (42±16) years), dual-source 64-slice CT (53 males, 47 females, (50±16) years) and dual-source 128-slice CT scanners(69 males, 31 females, (62±17) years), Toshiba 128-slice CT (51 males, 49 females, (58±13) years) and GE 128-slice CT scanner (55 males, 45 females, (60±10) years) were collected in Eastern Theater Command and Tianjin People's Hospital. Radiation dose and image quality were evaluated.GGN detected both in Neusoft CT and dual-source CT scanners were used to analyze the displaying ability of lesions. Results: The noise in lung window of Neusoft CT ((37.8±4.9) HU) was higher than that of other mainstream CT scanners, and the noise in mediastinal window ((8.4±1.9) HU) was lower than that of GE 128-slice CT ((9.8±3.2) HU), but higher than that of dual-source CT and Toshiba 128-slice CT ((6.9±3.5)HU) (P<0.05). The absolute value of lung SNR in Neusoft CT was lower than that of other mainstream CT scanners, and the SNR in aorta (4.6±1.3) was lower than those of dual-source CT and Toshiba 128-slice CT(6.8±2.2) (P<0.05), but was not statistically significant compared with GE 128-slice CT (5.0±1.7). The mean CT value of upper lung ((-863±31) HU) at Neusoft CT was higher than 128-row dual-source CT ((-869±35) HU), and the mean CT value of aorta ((37±7) HU) was lower than that of Toshiba 128-slice CT((42±7) HU) and GE 128-slice CT ((45±9) HU) (P<0.05), while the mean CT values of the remaining lung and aorta were not statistically significant (P>0.05). The two readers had good to excellent consistency for image quality in five scanners (the highest kappa value=0.984). The delineation ability of Neusoft CT for GGN boundary was lower than that of dual-source CT (P<0.05), but had similar abilities to display the solid components, lobulation, burring, vacuoles, vascular bundle sign and pleural depression sign of GGN (all P>0.05). Radiation dose of Neusoft CT was lower than Toshiba 128-slice CT, but higher than dual-source 64-sliceCT and GE 128-slice CT scanners (P<0.05). Conclusions: With lower radiation dose than Toshiba 128-slice CT, Neusoft CT chest examination can meet the requirements of clinical diagnosis, but higher radiation dose and the lower image quality than dual-source CT and GE 128-slice CT shown in this study indicate further improvement is needed in terms of software and hardware.
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Affiliation(s)
- L Wang
- Jinling Hospital, Medical School of Nanjing University, Department of Medical Imaging, General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - S J Yang
- Department of Radiology, Tianjin Union Medical Center, Tianjin 300121, China
| | - Y Z Tan
- Jinling Hospital, Medical School of Nanjing University, Department of Medical Imaging, General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - S Luo
- Jinling Hospital, Medical School of Nanjing University, Department of Medical Imaging, General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - X Kong
- Jinling Hospital, Medical School of Nanjing University, Department of Medical Imaging, General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - C X Tang
- Jinling Hospital, Medical School of Nanjing University, Department of Medical Imaging, General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - M J Lu
- Jinling Hospital, Medical School of Nanjing University, Department of Medical Imaging, General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - L Qi
- Jinling Hospital, Medical School of Nanjing University, Department of Medical Imaging, General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - C S Zhou
- Jinling Hospital, Medical School of Nanjing University, Department of Medical Imaging, General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - G M Lu
- Jinling Hospital, Medical School of Nanjing University, Department of Medical Imaging, General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - L J Zhang
- Jinling Hospital, Medical School of Nanjing University, Department of Medical Imaging, General Hospital of Eastern Theater Command, Nanjing 210002, China
| | - Y M Li
- Department of Radiology, Tianjin Union Medical Center, Tianjin 300121, China
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Zhou F, Wang YN, Schoepf UJ, Tesche C, Tang CX, Zhou CS, Xu L, Hou Y, Zheng MW, Yan J, Lu MJ, Lu GM, Zhang DM, Zhang B, Zhang JY, Zhang LJ. Diagnostic Performance of Machine Learning Based CT-FFR in Detecting Ischemia in Myocardial Bridging and Concomitant Proximal Atherosclerotic Disease. Can J Cardiol 2019; 35:1523-1533. [PMID: 31679622 DOI: 10.1016/j.cjca.2019.08.026] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 08/19/2019] [Accepted: 08/21/2019] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND The diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) in detecting ischemia in myocardial bridging (MB) has not been investigated to date. METHODS This retrospective multicentre study included 104 patients with left anterior descending MBs. MB was classified as either superficial or deep, short, or long, whereas all MB vessels were further divided into <50%, 50% to 69%, and ≥70% groups, according to proximal lumen stenosis on invasive coronary angiography. Diagnostic performance and receiver operating characteristics (ROC) of CT-FFR to detect lesion-specific ischemia was assessed on a per-vessel level, using invasive FFR as reference standard. Intraclass correlation coefficient (ICC) and Bland-Altman plots were used for agreement measurement. RESULTS Forty-eight MB vessels (46.2%) showed ischemia by invasive FFR (≤0.80). Sensitivity, specificity, and accuracy of CT-FFR to detect functional ischemia were 0.96 (0.85 to 0.99), 0.84 (0.71 to 0.92), and 0.89 (0.81 to 0.94), respectively, in all MB vessels. There were no differences in diagnostic performance between superficial and deep MB or between short and long MB (all P > 0.05). The accuracy of CT-FFR was 0.96 (0.85 to 0.99) in ≥70% stenosis, 0.82 (0.67 to 0.91) in 50% to 69% stenosis, and 0.89 (0.51 to 0.99) in <50% stenosis (P = 0.081). Bland-Altman analysis showed a slight mean difference between CT-FFR and invasive FFR of 0.014 (95% limit of agreement, -0.117 to 0.145). The ICC was 0.775 (95% confidence interval, 0.685-0.842, P < 0.001). CONCLUSIONS CT-FFR demonstrated high diagnostic performance for identifying functional ischemia in vessels with MB and concomitant proximal atherosclerotic disease when compared with invasive FFR. However, the clinical use of CT-FFR in patients with MB needs further study for stronger and more robust results.
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Affiliation(s)
- Fan Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - Yi Ning Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - U Joseph Schoepf
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Christian Tesche
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA; Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany
| | - Chun Xiang Tang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yang Hou
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Min Wen Zheng
- Department of Radiology, Xijing Hospital, Air Force Military Medical University, Xi'an, China
| | - Jing Yan
- Siemens Healthcare Ltd., Shanghai, China
| | - Meng Jie Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - Dai Min Zhang
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Bo Zhang
- Department of Radiology, Taizhou People's Hospital, Taizhou, Jiangsu, China
| | - Jia Yin Zhang
- Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China.
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Tang CX, Zhou CS, Schoepf UJ, Mastrodicasa D, Duguay T, Cline A, Zhao YE, Lu L, Li X, Tao SM, Lu MJ, Lu GM, Zhang LJ. Computer-assisted detection of acute pulmonary embolism at CT pulmonary angiography in children and young adults: a diagnostic performance analysis. Acta Radiol 2019; 60:1011-1019. [PMID: 30376717 DOI: 10.1177/0284185118808547] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Background To diagnose pulmonary embolism (PE) in children and adults since evaluating tiny pulmonary vasculature beyond segmental level is a challenging and demanding task with thousands of images. Purpose To evaluate the effect of computer-assisted detection (CAD) on acute PE on CTPA in children and young adults by readers with varying experience levels. Material and Methods Six radiologists were retrospectively divided into three groups according to experience levels and assessed the CTPA studies on a per-emboli basis. All readers identified independently the PE presence, and ranked diagnostic confidence on a 5-point scale with and without CAD. Reading time, sensitivities, specificities, accuracies, positive predictive values (PPVs), and negative predictive values (NPVs) were calculated for each reading. Results The sensitivities and NPVs differed significantly in most readers ( P = 0.004, 0.001, 0.010, 0.010, and 0.012 for sensitivities and P = 0.011, 0.003, 0.016, 0.017, and 0.019 for NPVs) except for reader 6 ( P = 0.148 and 0.165, respectively), and the accuracies of all readers differed significantly (all P < 0.05) in peripheral PE (beyond segmental level) detection readings with CAD versus without CAD between two reading methods. The overall time using CAD was longer than those without CAD (76.6 ± 54.4 s vs. 49.4 ± 17.7 s, P = 0.000) for all readers. Significant differences were found for confidence scores in inter-group measurements with CAD ( P = 0.045) and without CAD ( P < 0.001). Conclusion At the expense of longer reading time, the use of the CAD algorithms improves sensitivities, NPVs, and the accuracies of readers in peripheral PE detection, especially for readers with a poor level of interpretation experience.
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Affiliation(s)
- Chun Xiang Tang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Uwe Joseph Schoepf
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Domenico Mastrodicasa
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Taylor Duguay
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Anna Cline
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Yan E Zhao
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Li Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Xie Li
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Shu Min Tao
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Meng Jie Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
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Tang CX, Wang YN, Zhou F, Schoepf UJ, Assen MV, Stroud RE, Li JH, Zhang XL, Lu MJ, Zhou CS, Zhang DM, Yi Y, Yan J, Lu GM, Xu L, Zhang LJ. Diagnostic performance of fractional flow reserve derived from coronary CT angiography for detection of lesion-specific ischemia: A multi-center study and meta-analysis. Eur J Radiol 2019; 116:90-97. [DOI: 10.1016/j.ejrad.2019.04.011] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 04/03/2019] [Accepted: 04/19/2019] [Indexed: 10/27/2022]
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Tao SM, Zhou F, Schoepf UJ, Johnson AA, Lin ZX, Zhou CS, Lu GM, Zhang LJ. The effect of abdominal contrast-enhanced CT on DNA double-strand breaks in peripheral blood lymphocytes: an in vitro and in vivo study. Acta Radiol 2019; 60:687-693. [PMID: 30200772 DOI: 10.1177/0284185118799513] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND As abdominal computed tomography (CT) radiation dose can be higher compared with other organ systems, monitoring the radiation exposure from this exam type is especially important. PURPOSE To evaluate the effect of abdominal contrast-enhanced CT (CE-CT) on levels of DNA double-strand breaks (DSBs) in peripheral blood lymphocytes. MATERIAL AND METHODS This study was performed in two parts: (i) an in vitro study: venous blood samples from 12 volunteers were divided into four groups. Samples in group A did not undergo radiation exposure, while groups B, C, and D received one CT scan with 1-3 times the radiation dose equivalent to abdominal CE-CT scan, respectively; and (ii) an in vivo study: blood was taken before CT and 5 min after CT in 30 patients. Lymphocytes were isolated and stained by immunofluorescence of γ-H2AX protein. DSB levels were compared by variance analysis or paired t-test. The relationship between radiation dose and γ-H2AX focus increase was analyzed using Pearson correlation analysis. RESULTS In the in vitro study, DSBs levels in groups B, C, and D were 49.4%, 96.6%, and 149.4% higher than those in Group A, respectively (all P < 0.001). Radiation dose in the four subgroups had a linear correlation to DSB levels ( P < 0.001). In the in vivo study, the DSB level was 43.5% higher after CT ( P < 0.001). CONCLUSION Abdominal CE-CT significantly increased DSB levels in both in vitro and in vivo experiments. A positive linear correlation of CT radiation dose with intracellular DSBs levels was observed in the in vitro study.
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Affiliation(s)
- Shu Min Tao
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
- Medical Imaging Center, Affiliated Hospital of Nantong University, Nantong, PR China
| | - Fan Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - U Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Addison A Johnson
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Zhu Xiao Lin
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
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Zhou F, Tang CX, Schoepf UJ, Tesche C, Rollins JD, Liu H, Zhou CS, Yan J, Lu MJ, Lu GM, Ni QQ, Zhang LJ. Machine Learning Using CT-FFR Predicts Proximal Atherosclerotic Plaque Formation Associated With LAD Myocardial Bridging. JACC Cardiovasc Imaging 2019; 12:1591-1593. [PMID: 30878419 DOI: 10.1016/j.jcmg.2019.01.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 01/18/2019] [Accepted: 01/23/2019] [Indexed: 01/27/2023]
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Tao SM, Li X, Schoepf UJ, Nance JW, Jacobs BE, Zhou CS, Gu HF, Lu MJ, Lu GM, Zhang LJ. Comparison of the effect of radiation exposure from dual-energy CT versus single-energy CT on double-strand breaks at CT pulmonary angiography. Eur J Radiol 2018; 101:92-96. [PMID: 29571808 DOI: 10.1016/j.ejrad.2018.02.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 11/19/2017] [Accepted: 02/03/2018] [Indexed: 11/19/2022]
Abstract
PURPOSE To compare the effect of dual-source dual-energy CT versus single-energy CT on DNA double-strand breaks (DSBs) in blood lymphocytes at CT pulmonary angiography (CTPA). METHODS AND MATERIALS Sixty-two patients underwent either dual-energy CTPA (Group 1: n = 21, 80/Sn140 kVp, 89/38 mAs; Group 2: n = 20, 100/Sn140 kVp, 89/76 mAs) or single-energy CTPA (Group 3: n = 21, 120 kVp, 110 mAs). Blood samples were obtained before and 5 min after CTPA. DSBs were assessed with fluorescence microscopy and Kruskal-Walls tests were used to compare DSBs levels among groups. Volume CT dose index (CTDIvol), dose length product (DLP) and organ radiation dose were compared using ANOVA. RESULTS There were increased excess DSB foci per lymphocyte 5 min after CTPA examinations in three groups (Group 1: P = .001; Group 2: P = .001; Group 3: P = .006). There were no differences among groups regarding excess DSB foci/cell and percentage of excess DSBs (Group 1, 23%; Group 2, 24%; Group 3, 20%; P = .932). CTDIvol, DLP and organ radiation dose in Group 1 were the lowest among the groups (all P < .001). CONCLUSION DSB is increased following dual-source and single-source CTPA, while dual-source dual-energy CT protocols do not increase the estimated radiation dose and also do not result in a higher incidence of DNA DSBs in patients undergoing CTPA.
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Affiliation(s)
- Shu Min Tao
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Xie Li
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - U Joseph Schoepf
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr. Charleston, SC 29401, United States
| | - John W Nance
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr. Charleston, SC 29401, United States
| | - Brian E Jacobs
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr. Charleston, SC 29401, United States
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Hai Feng Gu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Meng Jie Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China.
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Tao SM, Kong X, Schoepf UJ, Wichmann JL, Shuler DC, Zhou CS, Lu GM, Zhang LJ. Acute kidney injury in patients with nephrotic syndrome undergoing contrast-enhanced CT for suspected venous thromboembolism: a propensity score-matched retrospective cohort study. Eur Radiol 2017; 28:1585-1593. [PMID: 29098438 DOI: 10.1007/s00330-017-5109-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 09/10/2017] [Accepted: 09/29/2017] [Indexed: 12/22/2022]
Abstract
OBJECTIVES To determine whether intravenous iodinated contrast material administration increases the risk of acute kidney injury (AKI) in patients with nephrotic syndrome undergoing contrast-enhanced CT. METHODS Patients with nephrotic syndrome undergoing contrast-enhanced CT were retrospectively identified (n = 701). Control group consisted of patients with nephrotic syndrome receiving non-contrast CT (n = 1053). Two different 1:1 propensity score matching models using three or 10 variables were developed for each estimated glomerular filtration (eGFR) subgroup. Incidence of post-CT AKI for the two groups was assessed and compared by standard AKI criteria and Acute Kidney Injury Network (AKIN) criteria. RESULTS After matching with three variables, the AKI incidence in the contrast-enhanced CT and non-contrast CT groups was 2.7% vs 2.5% (standard AKI criteria) and 4.2% vs. 6.7% (AKIN criteria) (p = 1.00 and 0.05), respectively. After matching with 10 variables, AKI incidences were 3.1% vs. 2.6% (standard AKI criteria) and 4.1% vs. 7.4% (AKIN criteria) (p = 0.72 and 0.03), respectively. AKI incidences of each eGFR subgroup in the contrast-enhanced CT group were not higher than in the non-contrast CT group (lowest p = 0.46). CONCLUSION Intravenous contrast material administration during CT was not found to be a risk factor for AKI in this large cohort of patients with nephrotic syndrome. KEY POINTS • AKI incidence of contrast-enhanced CT and non-contrast CT had no difference. • AKI incidences of eGFR subgroup in contrast-enhanced CT were not increased. • Studies without a non-contrast CT control group may overestimate CIN incidence.
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Affiliation(s)
- Shu Min Tao
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Xiang Kong
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - U Joseph Schoepf
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC, 29401, USA
| | - Julian L Wichmann
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC, 29401, USA
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Darby C Shuler
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC, 29401, USA
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China.
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Yang ZL, Ni QQ, Schoepf UJ, De Cecco CN, Lin H, Duguay TM, Zhou CS, Zhao YE, Lu GM, Zhang LJ. Small Intracranial Aneurysms: Diagnostic Accuracy of CT Angiography. Radiology 2017; 285:941-952. [PMID: 28654338 DOI: 10.1148/radiol.2017162290] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Purpose To assess the accuracy of computed tomographic (CT) angiography for diagnosis of cerebral aneurysms 5 mm or smaller, with digital subtraction angiography (DSA) as the reference standard, in a large patient cohort Materials and Methods This retrospective study was approved by the local institutional review board with a waiver of written informed consent. A total of 1366 patients who underwent cerebral CT angiography followed by DSA were included. The performance of CT angiography for depiction of aneurysms was evaluated by two readers on a per-patient and per-aneurysm basis and based on size of aneurysm, location, and status of rupture. The performance of CT angiography for diagnosis of aneurysms of different size, location, and rupture status was compared by using χ2 test. κ statistic was used to assess interreader agreement for diagnosis of aneurysms. Results Of 1366 patients, 579 patients had 711 small aneurysms at DSA. By using DSA as the reference standard, the respective sensitivity, specificity, and accuracy of CT angiography for readers 1 and 2 for detection of small aneurysms on a per-patient basis were 97.1% (562 of 579) and 97.4% (564 of 579), 98.5% (451 of 458) and 99.1% (454 of 458), and 97.7% (1013 of 1037) and 98.2% (1018 of 1037) and those on a per-aneurysm basis were 95.2% (677 of 711) and 95.4% (678 of 711), 96.6% (451 of 467) and 97.0% (454 of 468), and 95.8% (1128 of 1178) and 96.0% (1132 of 1179). The sensitivities of CT angiography were lower for detection of aneurysms smaller than 3 mm and unruptured compared with aneurysms that were 3-5 mm and ruptured (P < .001). No difference existed for the sensitivities of CT angiography for diagnosis of aneurysms in the anterior versus posterior circulation (P > .0167). Excellent or good interreader agreement was found for detection of intracranial aneurysms on a per-patient (κ = 0.982) and per-aneurysm (κ = 0.748) basis. Conclusion This large cohort study demonstrated that CT angiography had high accuracy for detection of small cerebral aneurysms, including those smaller than 3 mm. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Zhen Lu Yang
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China (Z.L.Y., Q.Q.N., U.J.S., C.S.Z., Y.E.Z., G.M.L., L.J.Z.); and Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (U.J.S., C.N.D.C., H.L., T.M.D.)
| | - Qian Qian Ni
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China (Z.L.Y., Q.Q.N., U.J.S., C.S.Z., Y.E.Z., G.M.L., L.J.Z.); and Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (U.J.S., C.N.D.C., H.L., T.M.D.)
| | - U Joseph Schoepf
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China (Z.L.Y., Q.Q.N., U.J.S., C.S.Z., Y.E.Z., G.M.L., L.J.Z.); and Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (U.J.S., C.N.D.C., H.L., T.M.D.)
| | - Carlo N De Cecco
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China (Z.L.Y., Q.Q.N., U.J.S., C.S.Z., Y.E.Z., G.M.L., L.J.Z.); and Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (U.J.S., C.N.D.C., H.L., T.M.D.)
| | - Han Lin
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China (Z.L.Y., Q.Q.N., U.J.S., C.S.Z., Y.E.Z., G.M.L., L.J.Z.); and Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (U.J.S., C.N.D.C., H.L., T.M.D.)
| | - Taylor M Duguay
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China (Z.L.Y., Q.Q.N., U.J.S., C.S.Z., Y.E.Z., G.M.L., L.J.Z.); and Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (U.J.S., C.N.D.C., H.L., T.M.D.)
| | - Chang Sheng Zhou
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China (Z.L.Y., Q.Q.N., U.J.S., C.S.Z., Y.E.Z., G.M.L., L.J.Z.); and Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (U.J.S., C.N.D.C., H.L., T.M.D.)
| | - Yan E Zhao
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China (Z.L.Y., Q.Q.N., U.J.S., C.S.Z., Y.E.Z., G.M.L., L.J.Z.); and Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (U.J.S., C.N.D.C., H.L., T.M.D.)
| | - Guang Ming Lu
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China (Z.L.Y., Q.Q.N., U.J.S., C.S.Z., Y.E.Z., G.M.L., L.J.Z.); and Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (U.J.S., C.N.D.C., H.L., T.M.D.)
| | - Long Jiang Zhang
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China (Z.L.Y., Q.Q.N., U.J.S., C.S.Z., Y.E.Z., G.M.L., L.J.Z.); and Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (U.J.S., C.N.D.C., H.L., T.M.D.)
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Chen GZ, Luo S, Zhou CS, Zhang LJ, Lu GM. Digital subtraction CT angiography for the detection of posterior inferior cerebellar artery aneurysms: comparison with digital subtraction angiography. Eur Radiol 2017; 27:3744-3751. [PMID: 28289932 DOI: 10.1007/s00330-017-4771-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Revised: 01/18/2017] [Accepted: 02/03/2017] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To evaluate the diagnostic accuracy of digital subtraction CT angiography (DS-CTA) in detecting posterior inferior cerebellar artery (PICA) aneurysms with digital subtraction angiography (DSA) as reference standard. METHODS A total of 115 patients, including 56 patients diagnosed with PICA aneurysms by CTA or DSA and 59 non-PICA-aneurysm patients were included in this retrospective study. All patients underwent DS-CTA and DSA. The site of PICA aneurysms and the pattern of haemorrhage were analysed. Sensitivity and specificity of DS-CTA without and with combining haemorrhage pattern in diagnosing PICA aneurysms were evaluated on a per patient and per aneurysm basis with DSA. RESULTS Of 115 patients, 56 patients (48.7%) had 61 PICA aneurysms (size range, 1.1-13.5 mm; mean size, 4.9 ± 2.8 mm) on DSA. The sensitivity and specificity in depicting PICA aneurysms were 89.3% and 96.6% on a per patient basis and 90.2% and 93.4% on a per aneurysm basis, while the corresponding values were 94.6% and 96.6% on a per patient basis and 95.1% and 93.4% on a per aneurysm basis when combining with haemorrhage site. CONCLUSION DS-CTA has a high sensitivity and specificity in detecting PICA aneurysms compared with DSA. It may be helpful for clinical diagnosis of PICA aneurysms to combine with haemorrhage sites. KEY POINTS • CT angiography has a good diagnostic performance in detecting PICA aneurysms. • The haemorrhage location is helpful to detect PICA aneurysms. • Digital subtraction CTA is a preferable diagnostic means for PICA aneurysms.
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Affiliation(s)
- Guo Zhong Chen
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Song Luo
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China.
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China.
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Chen GZ, Fang XK, Zhou CS, Zhang LJ, Lu GM. Cerebral CT angiography with iterative reconstruction at 70 kVp and 30 mL iodinated contrast agent: Initial experience. Eur J Radiol 2017; 88:102-108. [DOI: 10.1016/j.ejrad.2016.12.037] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 11/10/2016] [Accepted: 12/30/2016] [Indexed: 01/07/2023]
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Ni QQ, Chen GZ, Schoepf UJ, Klitsie MAJ, De Cecco CN, Zhou CS, Luo S, Lu GM, Zhang LJ. Cerebral CTA with Low Tube Voltage and Low Contrast Material Volume for Detection of Intracranial Aneurysms. AJNR Am J Neuroradiol 2016; 37:1774-1780. [PMID: 27151751 DOI: 10.3174/ajnr.a4803] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 03/06/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Multidetector row CTA has become the primary imaging technique for detecting intracranial aneurysms. Technical progress enables the use of cerebral CTA with lower radiation doses and contrast media. We evaluated the diagnostic accuracy of 80-kV(peak) cerebral CTA with 30 mL of contrast agent for detecting intracranial aneurysms. MATERIALS AND METHODS Two hundred four patients were randomly divided into 2 groups. Patients in group A (n = 102) underwent 80-kVp CTA with 30 mL of contrast agent, while patients in group B (n = 102) underwent conventional CTA (120 kVp, 60 mL of contrast agent). All patients underwent DSA. Image quality, diagnostic accuracy, and radiation dose between the 2 groups were compared. RESULTS Diagnostic image quality was obtained in 100 and 99 patients in groups A and B, respectively (P = .65). With DSA as reference standard, diagnostic accuracy on a per-aneurysm basis was 89.9% for group A and 93.9% for group B. For evaluating smaller aneurysms (<3 mm), the diagnostic accuracy of groups A and B was 86.3% and 90.8%, respectively. There was no difference in diagnostic accuracy between each CTA group and DSA (all, P > .05) or between the 2 CTA groups (all, P > .05). The effective dose in group A was reduced by 72.7% compared with group B. CONCLUSIONS In detecting intracranial aneurysms with substantial radiation dose and contrast agent reduction, 80-kVp/30-mL contrast CTA provides the same diagnostic accuracy as conventional CTA.
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Affiliation(s)
- Q Q Ni
- From the Department of Medical Imaging (Q.Q.N., G.Z.C., C.S.Z., S.L., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - G Z Chen
- From the Department of Medical Imaging (Q.Q.N., G.Z.C., C.S.Z., S.L., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - U J Schoepf
- Department of Radiology and Radiological Science (U.J.S., M.A.J.K., C.N.D.C.), Medical University of South Carolina, Charleston, South Carolina
| | - M A J Klitsie
- Department of Radiology and Radiological Science (U.J.S., M.A.J.K., C.N.D.C.), Medical University of South Carolina, Charleston, South Carolina
| | - C N De Cecco
- Department of Radiology and Radiological Science (U.J.S., M.A.J.K., C.N.D.C.), Medical University of South Carolina, Charleston, South Carolina
| | - C S Zhou
- From the Department of Medical Imaging (Q.Q.N., G.Z.C., C.S.Z., S.L., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - S Luo
- From the Department of Medical Imaging (Q.Q.N., G.Z.C., C.S.Z., S.L., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - G M Lu
- From the Department of Medical Imaging (Q.Q.N., G.Z.C., C.S.Z., S.L., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - L J Zhang
- From the Department of Medical Imaging (Q.Q.N., G.Z.C., C.S.Z., S.L., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
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Guo TK, Zhao X, Xie XD, Chen ZH, Zhou CS, Wei LL, Zhang H. The Anti-proliferative Effects of Recombinant Human Lysozyme on Human Gastric Cancer Cells. J Int Med Res 2016; 35:353-60. [PMID: 17593864 DOI: 10.1177/147323000703500310] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
We investigated the anti-proliferative effects of recombinant human lysozyme (rHlys) on gastric cancer cell lines and normal human lung fibroblasts. Using conventional molecular cloning techniques we purified rHlys, which we incubated with cultured cells and measured the effects on cell proliferation and viability. At concentrations of 100 and 1000 μg/l, rHlys significantly inhibited the growth of human gastric cancer cell lines. In contrast, 10 and 50 μg/l of rHlys stimulated gastric cancer cell growth. None of the concentrations of rHlys affected cell viability. Only the highest concentration of rHlys (1000 μg/l) inhibited human lung fibroblast growth. Our results suggest that 100 μg/l is the optimum growth inhibiting concentration, which inhibited cancer cell growth but not normal cell growth. Our in vitro findings suggest that genetically engineered rHlys might inhibit human gastric cancer cell proliferation in vivo, so it might warrant further investigation as a potential novel anti-cancer agent.
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Affiliation(s)
- T K Guo
- Key Laboratory of Preclinical Study for New Drugs of Gansu Province, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
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Qi L, Wu SY, Meinel FG, Zhou CS, Wang QQ, McQuiston AD, Ji XM, Schoepf UJ, Lu GM, Zhang LJ. Prospectively ECG-triggered high-pitch 80 kVp coronary computed tomography angiography with 30 mL of 270 mg I/mL contrast material and iterative reconstruction. Acta Radiol 2016; 57:287-94. [PMID: 26091686 DOI: 10.1177/0284185115590433] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2015] [Accepted: 05/10/2015] [Indexed: 11/16/2022]
Abstract
BACKGROUND The smallest diagnostically appropriate amount of contrast medium should be used in coronary computed tomography angiography (CCTA). PURPOSE To investigate the feasibility of prospectively ECG-triggered high-pitch CCTA using 30 mL of 270 mg I/mL contrast material, 80 kVp, and iterative reconstruction (IR). MATERIAL AND METHODS Eighty-two consecutive patients underwent CCTA with a prospectively ECG-triggered high-pitch protocol. Forty-three patients were examined at 100 kVp with filtered back projection after 60 mL of 370 mg I/mL contrast material was administered. Another 39 patients were examined at 80 kVp with IR after 30 mL of 270 mg I/mL contrast material was administered. Subjective and objective image quality was evaluated for each patient. Radiation doses were estimated and compared. RESULTS Mean attenuation, noise and signal-to-noise ratio in 80 kVp group were significantly lower than in 100 kVp group (all P < 0.05), while there was no significant difference in contrast-to-noise ratio (CNR), although a trend towards a lower CNR in 80 kVp group was observed (P = 0.099). The subjective image quality between the two groups was not significantly different (P = 0.905). The effective dose and iodine load in 80 kVp group were reduced by 54% and 64%, respectively, when compared with 100 kVp group. CONCLUSION Prospectively ECG-triggered high-pitch CCTA at 80 kVp with 30 mL of 270 mg I/mL contrast material and IR is feasible for patients with BMI less than 25 kg/m(2) and reduces radiation dose and iodine load when compared with the standard CCTA protocol.
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Affiliation(s)
- Li Qi
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | | | - Felix G Meinel
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Qing Qing Wang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Andrew D McQuiston
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Xue Man Ji
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - U Joseph Schoepf
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
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Cheng XQ, Chen Q, Zhou CS, Li JR, Zhang ZJ, Zhang LJ, Huang W, Lu GM. Whole-brain CT perfusion combined with CT angiography for ischemic complications following microsurgical clipping and endovascular coiling of ruptured intracranial aneurysms. J Clin Neurosci 2016; 26:50-6. [PMID: 26775148 DOI: 10.1016/j.jocn.2015.05.067] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2015] [Revised: 05/13/2015] [Accepted: 05/22/2015] [Indexed: 10/22/2022]
Abstract
Ischemic complications associated with microsurgical clipping and endovascular coiling affects the outcome of patients with intracranial aneurysms. We prospectively evaluated 58 intracranial aneurysm patients who had neurological deterioration or presented with poor grade (Hunt-Hess grades III and IV), aneurysm size >13 mm and multiple aneurysms after clipping or coiling. Thirty patients had ischemic complications (52%) as demonstrated by whole-brain CT perfusion (WB-CTP) combined with CT angiography (CTA). Half of these 30 patients had treatment-associated reduction in the diameter of the parent vessels (n=6), ligation of the parent vessels or perforating arteries (n=2), and unexplained or indistinguishable vascular injury (n=7); seven of these 15 (73%) patients suffered infarction. The remaining 15 patients had disease-associated cerebral ischemia caused by generalized vasospasm (n=6) and focal vessel vasospasm (n=9); six of these 15 (40%) patients developed infarction. Three hemodynamic patterns of ischemic complications were found on WB-CTP, of which increased time to peak, time to delay and mean transit time associated with decreased cerebral blood flow and cerebral blood volume were the main predictors of irreversible ischemic lesions. In conclusion, WB-CTP combined with CTA can accurately determine the cause of neurological deterioration and classify ischemic complications. This combined approach may be helpful in assessing hemodynamic patterns and monitoring operative outcomes.
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Affiliation(s)
- Xiao Qing Cheng
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu Province 210002, China
| | - Qian Chen
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu Province 210002, China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu Province 210002, China
| | - Jian Rui Li
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu Province 210002, China
| | - Zong Jun Zhang
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu Province 210002, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu Province 210002, China
| | - Wei Huang
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu Province 210002, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu Province 210002, China.
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Cheng XQ, Zhou CS, Chen Q, Lu GM. Cerebral Hemodynamic Evaluation of Parent Artery Occlusion for Giant Intracranial Aneurysm in Patients who Tolerated Balloon Test Occlusion: Two Case Reports. Turk Neurosurg 2015; 25:959-62. [PMID: 26617150 DOI: 10.5137/1019-5149.jtn.11692-14.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Parent artery occlusion is an effective treatment for giant intracranial aneurysms that cannot be clipped directly by surgery in patients who tolerate balloon test occlusion. However, concern remains that impaired hemodynamics after parent artery occlusion may cause delayed ischemic events in the ipsilateral hemisphere. We used computed tomography perfusion studies to evaluate the cerebral hemodynamics before and after parent artery occlusion in two patients with giant intracranial aneurysms who tolerated balloon test occlusion. In the first case, significant vortex flow in the aneurysm cavity prevented distal vascular engorgement and caused severe ischemic changes. After parent artery occlusion, the vortex flow was eliminated, circle of Willis compensatory flow was restored, and cerebral hemodynamics were significantly improved. In the second case, cerebral hemodynamics were normal on preoperative computed tomography perfusion. After parent artery occlusion, the time-to-peak was prolonged in the cerebral hemisphere on the occluded side compared with the contralateral hemisphere.
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Affiliation(s)
- Xiao Qing Cheng
- Nanjing University, Clinical School of Medical College, Jinling Hospital, Department of Medical Imaging, Nanjing, Jiangsu Province 210002, China
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Zhang LJ, Wang Y, Schoepf UJ, Meinel FG, Bayer RR, Qi L, Cao J, Zhou CS, Zhao YE, Li X, Gong JB, Jin Z, Lu GM. Image quality, radiation dose, and diagnostic accuracy of prospectively ECG-triggered high-pitch coronary CT angiography at 70 kVp in a clinical setting: comparison with invasive coronary angiography. Eur Radiol 2015; 26:797-806. [PMID: 26382844 DOI: 10.1007/s00330-015-3868-z] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2015] [Revised: 05/05/2015] [Accepted: 05/29/2015] [Indexed: 12/14/2022]
Abstract
PURPOSE To investigate image quality, radiation dose, and diagnostic performance of prospectively ECG-triggered high-pitch coronary CT angiography (CCTA) at 70 kVp compared to invasive coronary angiography (ICA) as reference standard. MATERIALS AND METHODS Forty-three patients underwent prospectively ECG-triggered high-pitch CCTA at 70 kVp using 30 cc (11 g iodine) contrast medium and ICA. Subjective and objective image quality was evaluated for each CCTA study. CCTA performance for diagnosing ≥50% stenosis was assessed. Results were stratified according to heart rate (HR), body mass index (BMI), Agatston score, and image quality. RESULTS At CCTA, 94.3% (500/530) of coronary segments were of diagnostic quality. Using ICA as reference standard, sensitivity and accuracy were 100% and 93.0% on a per-patient basis. Per-vessel and per-segment performances were 92.2% and 89.5%; 79.5% and 88.3%, respectively. No differences were found in diagnostic accuracy between different HR, BMI, and calcification subgroups (all P > 0.05) on a per-patient basis. However, low image quality reduced diagnostic accuracy on a per-patient, per-vessel and per-segment basis (all P < 0.05). The mean effective radiation dose was 0.2 ± 0.0 mSv. CONCLUSION Our presented protocol results in an effective radiation dose of 0.2 mSv and high diagnostic accuracy for stenosis detection in a selected, non-obese population. KEY POINTS Prospectively ECG-triggered high-pitch CCTA at 70 kVp is feasible. This protocol has a high diagnostic accuracy for stenosis detection. The mean effective radiation dose was 0.2 ± 0.0 mSv. Only 30 cc of contrast material is used in this protocol. Low image quality reduced diagnostic accuracy of CCTA.
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Affiliation(s)
- Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China.
| | - Yining Wang
- Department of Radiology, Peking Union Medical College Hospital, Beijing, China
| | - U Joseph Schoepf
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China.,Division of Cardiovascular Imaging, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC, 29425, USA
| | - Felix G Meinel
- Division of Cardiovascular Imaging, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC, 29425, USA.,Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Richard R Bayer
- Division of Cardiovascular Imaging, Medical University of South Carolina, Ashley River Tower, MSC 226, 25 Courtenay Dr, Charleston, SC, 29425, USA
| | - Li Qi
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Jian Cao
- Department of Radiology, Peking Union Medical College Hospital, Beijing, China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Yan E Zhao
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Xie Li
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Jian Bin Gong
- Department of Cardiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Zhengyu Jin
- Department of Radiology, Peking Union Medical College Hospital, Beijing, China.
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China.
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Qi L, Zhao Y, Zhou CS, Spearman JV, Renker M, Schoepf UJ, Zhang LJ, Lu GM. Image quality and radiation dose of lower extremity CT angiography at 70 kVp on an integrated circuit detector dual-source computed tomography. Acta Radiol 2015; 56:659-65. [PMID: 24919466 DOI: 10.1177/0284185114535391] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2014] [Accepted: 04/21/2014] [Indexed: 11/15/2022]
Abstract
BACKGROUND Despite the well-established requirement for radiation dose reduction there are few studies examining the potential for lower extremity CT angiography (CTA) at 70 kVp. PURPOSE To compare the image quality and radiation dose of lower extremity CTA at 70 kVp using a dual-source CT system with an integrated circuit detector to similar studies at 120 kVp. MATERIAL AND METHODS A total of 62 patients underwent lower extremity CTA. Thirty-one patients were examined at 70 kVp using a second generation dual-source CT with an integrated circuit detector (70 kVp group) and 31 patients were evaluated at 120 kVp using a first generation dual-source CT (120 kVp group). The attenuation and image noise were measured and signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Two radiologists assessed image quality. Radiation dose was compared. RESULTS The mean attenuation of the 70 kVp group was higher than the 120 kVp group (575 ± 149 Hounsfield units [HU] vs. 258 ± 38 HU, respectively, P < 0.001) as was SNR (44.0 ± 22.0 vs 32.7 ± 13.3, respectively, P = 0.017), CNR (39.7 ± 20.6 vs 26.6 ± 11.7, respectively, P = 0.003) and the mean image quality score (3.7 ± 0.1 vs. 3.2 ± 0.3, respectively, P < 0.001). The inter-observer agreement was good for the 70 kVp group and moderate for the 120 kVp group. The dose-length product was lower in the 70 kVp group (264.5 ± 63.1 mGy × cm vs. 412.4 ± 81.5 mGy × cm, P < 0.001). CONCLUSION Lower extremity CTA at 70 kVp allows for lower radiation dose with higher SNR, CNR, and image quality when compared with standard 120 kVp.
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Affiliation(s)
- Li Qi
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu Province, PR China
- Department of Medical Imaging, Jinling Hospital, Clinical School of Nanjing University, Nanjing, Jiangsu Province, PR China
| | - Yan’E Zhao
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu Province, PR China
- Department of Medical Imaging, Jinling Hospital, Clinical School of Nanjing University, Nanjing, Jiangsu Province, PR China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu Province, PR China
- Department of Medical Imaging, Jinling Hospital, Clinical School of Nanjing University, Nanjing, Jiangsu Province, PR China
| | - James V Spearman
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Matthias Renker
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
- Department of Cardiology, Kerckhoff Heart and Thorax Center, Bad Nauheim, Germany
| | - U Joseph Schoepf
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu Province, PR China
- Department of Medical Imaging, Jinling Hospital, Clinical School of Nanjing University, Nanjing, Jiangsu Province, PR China
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu Province, PR China
- Department of Medical Imaging, Jinling Hospital, Clinical School of Nanjing University, Nanjing, Jiangsu Province, PR China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu Province, PR China
- Department of Medical Imaging, Jinling Hospital, Clinical School of Nanjing University, Nanjing, Jiangsu Province, PR China
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Cheng XQ, Tian JM, Zuo CJ, Zhang LJ, Zhou CS, Zhao YE, Luo S, Zhang Q, Lu GM. Hemodynamic alterations in unilateral chronic middle cerebral artery stenosis patients and the effect of percutaneous transluminal angioplasty and stenting: a perfusion-computed tomography study. Acta Radiol 2015; 56:754-60. [PMID: 25009278 DOI: 10.1177/0284185114538793] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2013] [Accepted: 05/13/2014] [Indexed: 11/16/2022]
Abstract
BACKGROUND The Stenting and Aggressive Medical Management for Preventing Recurrent Stroke in Intracranial Stenosis (SAMMPRIS) trial indicated that most patients with symptomatic intracranial atherosclerosis are not good candidates for percutaneous transluminal angioplasty and stenting (PTAS) because of a higher complication risk than with conservative treatment. However, enrollment of SAMMPRIS patients was based on lesion severity only, without functional imaging. PURPOSE To determine whether perfusion computed tomography (PCT) can effectively evaluate hemodynamic compromise in unilateral chronic middle cerebral artery stenosis and the alterations of hemodynamics after PTAS. MATERIAL AND METHODS In this prospective study, 89 patients with unilateral middle cerebral artery (MCA) stenosis/occlusion were enrolled and classified into four groups according to the degree of stenosis. Cerebral hemodynamics was evaluated by measuring cerebral blood flow (CBF), cerebral blood volume (CBV), and time to peak (TTP) in the ipsilateral and contralateral hemispheres by PCT before and after intervention with PTAS. Differences in hemodynamic parameters before and after intervention were analyzed. RESULTS Three different hemodynamic patterns were observed in these patients. Patients with severe MCA stenosis (70-99%) or MCA occlusion demonstrated a significant increase of ipsilateral CBV and TTP, indicating hemodynamic compromise. Ten severe stenosis patients with recurrent ischemic symptoms despite of maximal conservative therapy were selected for PTAS. PTAS induced a rapid recovery of cerebral hemodynamics (especially TTP) at 1 week post intervention. CONCLUSION PCT appears to be a valuable noninvasive technique to evaluate hemodynamic compromise in unilateral chronic MCA stenosis and the improvements after PTAS.
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Affiliation(s)
- Xiao Qing Cheng
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Nanjing, Jiangsu Province, PR China
| | - Jian Ming Tian
- Department of Medical Imaging, Changhai Hospital, The 2nd Military Medical University, Shanghai, PR China
| | - Chang Jing Zuo
- Department of Nuclear Medicine, Changhai Hospital, The 2nd Military Medical University, Shanghai, PR China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Nanjing, Jiangsu Province, PR China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Nanjing, Jiangsu Province, PR China
| | - Yan E Zhao
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Nanjing, Jiangsu Province, PR China
| | - Song Luo
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Nanjing, Jiangsu Province, PR China
| | - Qi Zhang
- Department of Neurosurgery, Changhai Hospital, The 2nd Military Medical University, Shanghai, PR China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Nanjing, Jiangsu Province, PR China
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Chen GZ, Zhang LJ, Schoepf UJ, Wichmann JL, Milliken CM, Zhou CS, Qi L, Luo S, Lu GM. Radiation dose and image quality of 70 kVp cerebral CT angiography with optimized sinogram-affirmed iterative reconstruction: comparison with 120 kVp cerebral CT angiography. Eur Radiol 2015; 25:1453-63. [PMID: 25636415 DOI: 10.1007/s00330-014-3533-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Revised: 10/15/2014] [Accepted: 11/20/2014] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To evaluate radiation dose, image quality, and optimal level of sinogram-affirmed iterative reconstruction (SAFIRE) of cerebral CT angiography (CTA) at 70 kVp. METHODS One hundred patients were prospectively classified into two groups: Group A (n = 50), 70 kVp cerebral CTA with 5 levels of SAFIRE reconstruction (S1-S5); and Group B (n = 50), 120 kVp with filtered back projection (FBP) reconstruction. CT attenuation values, noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the internal carotid artery (ICA) and middle cerebral artery (MCA) were measured. Subjective image quality was evaluated. Effective dose (ED) was estimated. RESULTS CT attenuation and noise of the ICA and MCA in Group A were higher than those of Group B (all P < 0.001) while the SNRICA, SNRMCA, CNRICA, and CNRMCA of Group A at S4-5 were comparable to (P > 0.05) or higher than in Group B (P < 0.05). There was no difference in overall image quality between Group A S3-5 and Group B (P > 0.05). ED was 0.2 ± 0.0 mSv for Group A with 85 % ED reduction in comparison to Group B (1.3 ± 0.2 mSv). CONCLUSION Cerebral CTA at 70 kVp is feasible, allowing for substantial radiation dose reduction. SAFIRE S4 level is recommended for obtaining optimal image quality. KEY POINTS • 70 kVp cerebral CTA is feasible and provides diagnostic image quality. • 70 kVp cerebral CTA resulted in 85% effective dose reduction. • S4 level of SAFIRE is recommended for 70 kVp cerebral CTA.
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Affiliation(s)
- Guo Zhong Chen
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
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Zhang LJ, Qi L, De Cecco CN, Zhou CS, Spearman JV, Schoepf UJ, Lu GM. High-pitch coronary CT angiography at 70 kVp with low contrast medium volume: comparison of 80 and 100 kVp high-pitch protocols. Medicine (Baltimore) 2014; 93:e92. [PMID: 25396334 PMCID: PMC4616317 DOI: 10.1097/md.0000000000000092] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
The purpose of this article is to evaluate image quality and radiation dose of prospectively electrocardiogram (ECG)-triggered high-pitch coronary computed tomography angiography (CCTA) at 70 kVp and 30 mL contrast medium.One hundred fifty patients with a heart rate ≤70 beats per minute (bpm) underwent CCTA using a second-generation dual-source computed tomography (CT) scanner and were randomized into 3 groups according to tube voltage and contrast medium volume (370 mg/mL iodine concentration) (100 kVp group, 100 kVp/60 mL, n = 55; 80 kVp group, 80 kVp/60 mL, n = 44; 70 kVp group, 70 kVp/30 mL, n = 51). Objective and subjective image quality along with the effect of heart rate (HR) and body mass index (BMI) was evaluated and compared between the groups. Radiation dose was estimated for each patient.CT attenuation and image noise were higher in the 80 and 70 kVp groups than in the 100 kVp group (all P < 0.001). Signal-to-noise ratios (SNRs) and contrast-to-noise ratios (CNRs) were lower in the 70 kVp group than in the 80 and 100 kVp groups (all P < 0.05). There was no difference for subjective image quality between the groups (P > 0.05). HR did not affect subjective image quality (all P > 0.05), while patients with BMI <23 kg/m had higher image quality than patients with BMI ≥23 kg/m (P < 0.05). Compared with the 100 kVp group, the radiation dose of the 70 kVp group was reduced by 75%.In conclusion, prospectively ECG-triggered high-pitch 70 kVp/30 mL CCTA can obtain diagnostic image quality with lower radiation dose in selected patients with BMI <23 kg/m compared with 80/100 kVp/60 mL CCTA.
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Affiliation(s)
- Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
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Zhang LJ, Zhou CS, Wang Y, Jin Z, Yu W, Zhang Z, Zhang B, Fang X, Cui X, Li K, Huang W, Zheng L, Ji XM, Hoffman C, Schoepf UJ, Lu GM. Prevalence and types of coronary to pulmonary artery fistula in a Chinese population at dual-source CT coronary angiography. Acta Radiol 2014; 55:1031-9. [PMID: 24280135 DOI: 10.1177/0284185113512299] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Coronary to pulmonary artery fistula (CPAF) is rare; reports on the prevalence and types of CPAF in a large cohort of patients are scarce. PURPOSE To analyze the prevalence and types of CPAF on computed tomography coronary angiography (CTCA) in a large Chinese population. MATERIAL AND METHODS CTCA data of 58,533 patients from five Chinese tertiary referral medical centers were retrospectively studied. The prevalence, origin, aneurysmal sac, fistula tracts, and extracardiac communication of CPAF were recorded. CTCA findings were compared with conventional coronary angiography when possible. RESULTS Ninety-nine patients had CPAF (prevalence of 0.17%). Of the 99 CPAF cases, fistulas were found to originate from either both coronary arteries in 52 patients or from one coronary artery (33 cases from the left and 14 cases from the right coronary artery). Ten CPAF patients were complicated with the communication of extracardiac arteries. Fifteen (15.2%) CPAF patients had aneurysmal sac formation. Thirty (30.3%) patients had a single fistula tract, while 69 (69.7%) patients had multiple fistula tracts. CTCA findings in 16 patients were similar to those at DSA. CONCLUSION Based on this large cohort, the prevalence of CPAF in the Chinese population is about 0.17%, with origin from either the left or right coronary artery or from both. CTCA can clearly visualize the types, abnormal vascular tracts, and aneurysmal sac formation of CPAF.
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Affiliation(s)
- Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Yining Wang
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, PR China
| | - Zhengyu Jin
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, PR China
| | - Wei Yu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, PR China
| | - Zhaoqi Zhang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, PR China
| | - Bo Zhang
- Department of Radiology, Taizhou People's Hospital, Taizhou, Jiangsu, PR China
| | - Xiangming Fang
- Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi, Jiangsu, PR China
| | - Xingyu Cui
- Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi, Jiangsu, PR China
| | - Kai Li
- Department of Pharmacology, Suzhou University, Suzhou, PR China
| | - Wei Huang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Ling Zheng
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Xue Man Ji
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Cane Hoffman
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
| | - U Joseph Schoepf
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
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He ZX, Sun ZH, Yang WZ, Beauchemin KA, Tang SX, Zhou CS, Han XF, Wang M, Kang JH, Tan ZL. Effects of maternal protein or energy restriction during late gestation on immune status and responses to lipopolysaccharide challenge in postnatal young goats. J Anim Sci 2014; 92:4856-64. [PMID: 25253814 DOI: 10.2527/jas.2014-7904] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Knowledge of maternal malnutrition of ruminants and effects on development of the immune system of their offspring is lacking. A study was conducted to investigate the effects of maternal protein or energy restriction during late gestation on immune status of their offspring at different ages. Sixty-three pregnant goats (local breed, Liuyang black goat, 22.2 ± 1.5 kg at d 90 of gestation) were fed control (CON, ME = 9.34 MJ/kg and CP = 12.5%, DM basis), 40% protein restricted (PR), or 40% energy restricted (ER) diets from d 91 of gestation to parturition, after which all animals received an adequate diet for nutritional recovery. Plasma concentrations of complement components (C3, C4), C-reactive protein (CRP) and immunoglobulins (IgG and IgM), jejunum cytokines (IL-2, IL-6, and IL-10) expression levels and morphology in the offspring were measured. Additionally, plasma concentration of complement and IL-6, and cytokines expression levels in gastrointestinal tract obtained at 6 wk from young goats were assessed under saline or lipopolysaccharide (LPS) challenging conditions. Maternal PR or ER decreased (P < 0.05) plasma C3, C4, IgG, and IgM concentrations, and IL-2 and IL-6 mRNA expression in the jejunum from neonatal kids, but did not alter (P > 0.05) plasma CRP concentration. The IL-10 mRNA expression of jejunum from PR kids was also less (P < 0.01) than that from CON kids. Moreover, jejunum villous height (P < 0.10 in PR, P < 0.05 in ER) and crypt depth (P < 0.05 both in PR and ER) were reduced in neonatal kids from malnourished mothers. At 6 wk of age, there were no differences (P > 0.05) in any plasma or tissue immune parameters among the 3 treatments. However, when given a LPS challenge, ER and PR kids had greater (P = 0.02) IL-6 concentration compared with CON kids. Our results suggest that both PR and ER during late gestation induced short-term as well as long-lasting alterations on immune responses in their offspring, which may make the animals more susceptible to a bacterial pathogen challenge. The present findings expand the existing knowledge in immunological mechanisms responsible for the development of disease in later life.
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Affiliation(s)
- Z X He
- Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock & Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, China Lethbridge Research Centre, Agriculture and Agri-Food Canada, Lethbridge, Alberta T1J 4B1, Canada
| | - Z H Sun
- College of Animal Sciences and Technology, Southwest University, Chongqing 400715, China
| | - W Z Yang
- Lethbridge Research Centre, Agriculture and Agri-Food Canada, Lethbridge, Alberta T1J 4B1, Canada
| | - K A Beauchemin
- Lethbridge Research Centre, Agriculture and Agri-Food Canada, Lethbridge, Alberta T1J 4B1, Canada
| | - S X Tang
- Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock & Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, China
| | - C S Zhou
- Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock & Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, China
| | - X F Han
- Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock & Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, China
| | - M Wang
- Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock & Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, China
| | - J H Kang
- Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock & Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, China
| | - Z L Tan
- Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock & Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in Ministry of Agriculture, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, China
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Lu GM, Luo S, Meinel FG, McQuiston AD, Zhou CS, Kong X, Zhao YE, Zheng L, Schoepf UJ, Zhang LJ. High-pitch computed tomography pulmonary angiography with iterative reconstruction at 80 kVp and 20 mL contrast agent volume. Eur Radiol 2014; 24:3260-8. [PMID: 25100336 DOI: 10.1007/s00330-014-3365-9] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2014] [Revised: 05/12/2014] [Accepted: 07/21/2014] [Indexed: 11/27/2022]
Abstract
OBJECTIVES To evaluate the image quality, radiation dose and diagnostic accuracy of 80kVp, high-pitch CT pulmonary angiography (CTPA) with iterative reconstruction using 20 ml of contrast agent. METHODS One hundred patients with suspected pulmonary embolism (PE) were randomly divided into two groups (n = 50 each; group A, 100 kVp, 1.2 pitch, 60 ml of contrast medium and filtered back projection algorithm; group B, 80 kVp, 2.2 pitch, 20 ml of contrast medium and sinogram affirmed iterative reconstruction). Image quality, diagnostic accuracy and radiation dose were evaluated and compared. RESULTS Mean CT numbers of pulmonary arteries in group B were higher than those in group A (all P < 0.001). Contrast-to-noise ratio and signal-to-noise ratio of group B were higher than those of group A (both P < 0.001). There was no significant difference in subjective image quality scores between two groups (P = 0.807). The interobserver agreement was excellent (k = 0.836). There was no significant difference in diagnostic accuracy between the two groups (P > 0.05). Compared with group A, radiation dose of group B was reduced by 50.3% (P < 0.001). CONCLUSIONS High-pitch CTPA at 80 kVp can obtain sufficient image quality in normal-weight individuals with 20 ml of contrast agent and half the radiation dose of a conventional CTPA protocol. KEY POINTS CTPA is feasible at 80 kVp using only 20 ml of contrast agent. High-pitch CTPA at 80 kVp has an effective dose under 1 mSv. This CTPA protocol can obtain sufficient image quality in normal-weight individuals.
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Affiliation(s)
- Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China,
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Zhao YE, Wang ZJ, Zhou CS, Zhu FP, Zhang LJ, Lu GM. Multidetector Computed Tomography of Superior Mesenteric Artery: Anatomy and Pathologies. Can Assoc Radiol J 2014; 65:267-74. [PMID: 24874500 DOI: 10.1016/j.carj.2013.10.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2012] [Revised: 10/14/2013] [Accepted: 10/22/2013] [Indexed: 01/15/2023] Open
Abstract
The recent introduction of multidetector computed tomography scanners has significantly improved computed tomography angiographic (CTA) applications, especially for the evaluation of medium- and small-arterial structures. CTA of the superior mesenteric artery has been reported previously. However, there have been few systematic and detailed reviews of the superior mesenteric artery pathologies that use CTA. The purpose of this pictorial essay is mainly to review the various superior mesenteric artery pathologies at CTA with our own experiences.
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Affiliation(s)
- Yan E. Zhao
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu, China
| | - Zhen Jane Wang
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu, China
| | - Fei Peng Zhu
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu, China
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Zhang LJ, Zhang Z, Li SJ, Meinel FG, Nance JW, Zhou CS, Zhao YE, Schoepf UJ, Lu GM. Pulmonary embolism and renal vein thrombosis in patients with nephrotic syndrome: prospective evaluation of prevalence and risk factors with CT. Radiology 2014; 273:897-906. [PMID: 25072187 DOI: 10.1148/radiol.14140121] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE To prospectively determine the prevalence of pulmonary embolism ( PE pulmonary embolism ) and renal vein thrombosis ( RVT renal vein thrombosis ) with computed tomography (CT) and to identify markers predictive of PE pulmonary embolism and/or RVT renal vein thrombosis in a large consecutive cohort of patients with nephrotic syndrome. MATERIALS AND METHODS This study was approved by the local institutional review board, and all patients or their guardians provided written informed consent. Consecutive patients with nephrotic syndrome (24-hour urine protein > 3.5 g) underwent combined CT pulmonary angiography for PE pulmonary embolism and renal CT venography for RVT renal vein thrombosis . Prevalence of PE pulmonary embolism and/or RVT renal vein thrombosis was estimated for different ages, sexes, and histopathologic types of nephrotic syndrome. Multivariate analysis was used to determine independent predictors for PE pulmonary embolism and/or RVT renal vein thrombosis in patients with nephrotic syndrome. RESULTS There were 512 patients in the study cohort (331 male patients, 181 female patients; mean age, 37 years ± 17 [standard deviation]; range, 9-81 years), including 80 children. One hundred eighty (35%) of 512 patients had PE pulmonary embolism and/or RVT renal vein thrombosis , with PE pulmonary embolism the more common condition (85% [153 of 180]). PE pulmonary embolism was associated with RVT renal vein thrombosis in 85 (56%) of 153 patients and was isolated in 68 patients (44%). Most patients with PE pulmonary embolism (84% [128 of 153]) were asymptomatic. One hundred twelve (22%) of 505 patients had RVT renal vein thrombosis . PE pulmonary embolism and/or RVT renal vein thrombosis was found in 15 (19%) of 80 children with nephrotic syndrome, while 165 (38%) of 432 adult patients with nephrotic syndrome had PE pulmonary embolism and/or RVT renal vein thrombosis (P = .001). Membranous nephropathy was the most common histopathologic type associated with PE pulmonary embolism and/or RVT renal vein thrombosis (48% [88 of 183]). Membranous nephropathy, age greater than 60 years, high hemoglobin level, long prothrombin time, and high creatinine level were independent predictors of PE pulmonary embolism and/or RVT renal vein thrombosis (P < .05 for all). CONCLUSION PE pulmonary embolism and RVT renal vein thrombosis are common in patients with nephrotic syndrome. PE pulmonary embolism is more common than RVT renal vein thrombosis , is most often asymptomatic, and is most frequently found in patients with membranous nephropathy. A high index of suspicion and a low threshold for diagnostic work-up is warranted in these patients.
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Affiliation(s)
- Long Jiang Zhang
- From the Department of Medical Imaging (L.J.Z., Z.Z., C.S.Z., Y.E.Z., U.J.S., G.M.L.) and Research Institute of Nephrology (S.J.L.), Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu Province, China 200012; and Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (F.G.M., J.W.N., U.J.S.)
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Qi L, Meinel FG, Zhou CS, Zhao YE, Schoepf UJ, Zhang LJ, Lu GM. Image quality and radiation dose of lower extremity CT angiography using 70 kVp, high pitch acquisition and sinogram-affirmed iterative reconstruction. PLoS One 2014; 9:e99112. [PMID: 24915439 PMCID: PMC4051648 DOI: 10.1371/journal.pone.0099112] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Accepted: 05/10/2014] [Indexed: 01/09/2023] Open
Abstract
Objectives The purpose of this study was to assess image quality and radiation dose of lower extremity CT angiography (CTA) with 70 kVp, high pitch acquisition and sinogram-affirmed iterative reconstruction (SAFIRE). Methods Lower extremity CTAs were performed on 44 patients: 22 patients were examined using protocol A (120 kVp, pitch of 0.85 and 120 ml of contrast agent on a first-generation dual-source CT) (120 kVp group) and 22 patients were evaluated with protocol B (70 kVp, pitch of 2.2 and 80 ml of contrast agent on a second-generation dual-source CT) (70 kVp group). Images from the 120 kVp group were reconstructed with filtered back projection (FBP) and images from the 70 kVp group with SAFIRE. The attenuation, image noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Two radiologists subjectively assessed image quality of lower extremity arteries, plantar arterial enhancement and venous contamination of all patients. Radiation dose was compared between the two groups. Results Higher mean intravascular attenuation was obtained in the 70 kVp group (70 vs. 120 kVp group, 555.4±83.4 HU vs. 300.9±81.4 HU, P<0.001), as well as image noise (20.0±2.8 HU vs. 17.5±3.2 HU, P = 0.010), SNR (32.0±7.0 vs. 19.1±6.9, P<0.001) and CNR (28.1±6.6 vs 15.9±6.3, P<0.001). No difference in subjective image quality and plantar arterial enhancement was found between 120 kVp group and 70 kVp group (all P>0.05). The venous contamination score was 1.5±0.8 for 120 kVp group while no venous contamination was found in 70 kVp group. The inter-observer agreement was moderate to good for both groups (0.515∼1, P<0.001). The effective dose was lower in 70 kVp group (0.3±0.1 mSv) than in 120 kVp group (1.6±0.7 mSv)(P<0.001). Conclusions Lower extremity CTA using 70 kVp, high pitch acquisition and SAFIRE, except increasing imaging noise, allows for lower radiation dose and contrast material volume without compromising image quality.
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Affiliation(s)
- Li Qi
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu, China
| | - Felix G. Meinel
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, United States of America
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu, China
| | - Yan E. Zhao
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu, China
| | - U. Joseph Schoepf
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu, China
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, United States of America
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu, China
- * E-mail: (LJZ); (GML)
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Clinical School of South Medical University, Nanjing, Jiangsu, China
- * E-mail: (LJZ); (GML)
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Luo S, Zhang LJ, Meinel FG, Zhou CS, Qi L, McQuiston AD, Schoepf UJ, Lu GM. Low tube voltage and low contrast material volume cerebral CT angiography. Eur Radiol 2014; 24:1677-85. [PMID: 24792591 DOI: 10.1007/s00330-014-3184-z] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Revised: 03/13/2014] [Accepted: 04/09/2014] [Indexed: 12/01/2022]
Abstract
OBJECTIVES To evaluate the image quality, radiation dose and diagnostic accuracy of low kVp and low contrast material volume cerebral CT angiography (CTA) in intracranial aneurysm detection. METHODS One hundred twenty patients were randomly divided into three groups (n = 40 for each): Group A, 70 ml iodinated contrast agent/120 kVp; group B, 30 ml/100 kVp; group C, 30 ml/80 kVp. The CT numbers, noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured in the internal carotid artery (ICA) and middle cerebral artery (MCA). Subjective image quality was evaluated. For patients undergoing DSA, diagnostic accuracy of CTA was calculated with DSA as reference standard and compared. RESULTS CT numbers of ICA and MCA were higher in groups B and C than in group A (P < 0.01). SNR and CNR in groups A and B were higher than in group C (both P < 0.05). There was no difference in subjective image quality among the three groups (P = 0.939). Diagnostic accuracy for aneurysm detection among these groups had no statistical difference (P = 1.00). Compared with group A, the radiation dose of groups B and C was decreased by 45% and 74%. CONCLUSION Cerebral CTA at 100 or 80 kVp using 30 ml contrast agent can obtain diagnostic image quality with a low radiation dose while maintaining the same diagnostic accuracy for aneurysm detection. KEY POINTS • Cerebral CTA is feasible using 100/80 kVp and 30 ml contrast agent. • This approach obtains diagnostic image quality with 45-74% radiation dose reduction. • Diagnostic accuracy for intracranial aneurysm detection seems not to be compromised.
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Affiliation(s)
- Song Luo
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
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Zhang LJ, Wu X, Yang GF, Tang CX, Luo S, Zhou CS, Ji XM, Lu GM. Three-dimensional contrast-enhanced magnetic resonance venography for detection of renal vein thrombosis: comparison with multidetector CT venography. Acta Radiol 2013; 54:1125-31. [PMID: 23794130 DOI: 10.1177/0284185113490152] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Renal vein thrombosis is not uncommon, however, there have been few reports on the diagnostic accuracy of three-dimensional contrast-enhanced magnetic resonance venography (3D-CE-MRV) in the detection of renal vein thrombosis (RVT). PURPOSE To evaluate the value of 3D-CE-MRV for detecting RVT with multidetector computed tomography (CT) venography as reference standard. MATERIAL AND METHODS Thirty-two patients with nephrotic syndrome underwent renal CT venography and gradient echo pulse sequence (FLASH 3D) 3D-CE-MRV in a clinical 3-T whole-body MR scanner for suspected RVT with time interval of 0-5 days. RVT was recorded on a per-patient and per-vessel (left renal vein, right renal vein, and inferior vena cava) basis. The diagnostic accuracy of 3D-CE-MRV for detection of RVT was calculated with CT venography as reference standard. Inter-reader agreement for RVT detection was evaluated using Kappa statistics. RESULTS Of 32 patients, CT venography detected 22 vessels with thrombosis in 17 patients, including five in right renal veins, 14 in left renal veins, and three in inferior vena cava, while 15 patients had no RVT. 3D-CE-MRV detected 21 vessels (21/96, 21.9%) with thrombosis in 16 patients (6/32, 50%), including five in right renal veins, 13 in left renal veins, and three in inferior vena cava, while 16 patients (16/32, 50%) had no RVT. With CT venography as reference standard, the sensitivities and specificities of 3D-CE-MRV for RVT detection were 94.1%, 100%; 95.5%, 100% on a per-patient and a per-vessel basis, respectively. Excellent inter-reader agreement (Kappa value = 0.969, P < 0.001) was observed for RVT detection. CONCLUSION 3D-CE-MRV has a high diagnostic accuracy in the detection of RVT, which is optimal alternative imaging modality in the detection of RVT.
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Affiliation(s)
- Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Xinsheng Wu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Gui Fen Yang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Chun Xiang Tang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Song Luo
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Xue Man Ji
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, PR China
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Zhang LJ, Luo S, Yeh BM, Zhou CS, Tang CX, Zhao Y, Li L, Zheng L, Huang W, Lu GM. Diagnostic accuracy of three-dimensional contrast-enhanced MR angiography at 3-T for acute pulmonary embolism detection: Comparison with multidetector CT angiography. Int J Cardiol 2013; 168:4775-83. [DOI: 10.1016/j.ijcard.2013.07.228] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2013] [Revised: 07/20/2013] [Accepted: 07/25/2013] [Indexed: 02/03/2023]
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