Pub Date : 2022-09-01DOI: 10.1136/heartjnl-2022-bsci.4
M. Daghem, P. Adamson, Kang-Ling Wang, M. Doris, R. Bing, E. V. Beek, Laura Forsyth, M. Williams, P. Slomka, M. Dweck, D. Newby, A. Moss
spectrum remodelling
光谱改造
{"title":"OP4 Temporal changes in coronary 18f-fluoride plaque uptake in patients with coronary atherosclerosis","authors":"M. Daghem, P. Adamson, Kang-Ling Wang, M. Doris, R. Bing, E. V. Beek, Laura Forsyth, M. Williams, P. Slomka, M. Dweck, D. Newby, A. Moss","doi":"10.1136/heartjnl-2022-bsci.4","DOIUrl":"https://doi.org/10.1136/heartjnl-2022-bsci.4","url":null,"abstract":"spectrum remodelling","PeriodicalId":117644,"journal":{"name":"Scientific oral presentations","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125209219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01DOI: 10.1136/heartjnl-2022-bsci.1
A. Ramasamy, Hessam Sokooti, Xiaotong Zhang, E. Tzorovili, Retesh Bajaj, P. Kitslaar, A. Broersen, R. Amersey, A. Jain, M. Ozkor, J. Reiber, J. Dijkstra, P. Serruys, R. Torii, J. Moon, A. Mathur, A. Baumbach, F. Pugliese, C. Bourantas
{"title":"OP1 A novel coronary computed tomography angiography deep-learning methodology for coronary atheroma assessment trained using near-infrared spectroscopy-intravascular ultrasound","authors":"A. Ramasamy, Hessam Sokooti, Xiaotong Zhang, E. Tzorovili, Retesh Bajaj, P. Kitslaar, A. Broersen, R. Amersey, A. Jain, M. Ozkor, J. Reiber, J. Dijkstra, P. Serruys, R. Torii, J. Moon, A. Mathur, A. Baumbach, F. Pugliese, C. Bourantas","doi":"10.1136/heartjnl-2022-bsci.1","DOIUrl":"https://doi.org/10.1136/heartjnl-2022-bsci.1","url":null,"abstract":"","PeriodicalId":117644,"journal":{"name":"Scientific oral presentations","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116052930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01DOI: 10.1136/heartjnl-2022-bsci.2
S. Monga, L. Valkovič, S. Myerson, S. Neubauer, M. Mahmod, O. Rider
{"title":"OP2 A randomised double-blind placebo-controlled study of fenofibrate as a metabolic modulator to augment cardiac physiology in moderate-severe aortic stenosis","authors":"S. Monga, L. Valkovič, S. Myerson, S. Neubauer, M. Mahmod, O. Rider","doi":"10.1136/heartjnl-2022-bsci.2","DOIUrl":"https://doi.org/10.1136/heartjnl-2022-bsci.2","url":null,"abstract":"","PeriodicalId":117644,"journal":{"name":"Scientific oral presentations","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115806549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01DOI: 10.1136/heartjnl-2022-bsci.3
S. Monga, L. Valkovič, M. Mahmod, S. Myerson, S. Neubauer, O. Rider
{"title":"OP3 Metabolic phenotyping in aortic stenosis: insights from a multi-parametric cardiac magnetic resonance study","authors":"S. Monga, L. Valkovič, M. Mahmod, S. Myerson, S. Neubauer, O. Rider","doi":"10.1136/heartjnl-2022-bsci.3","DOIUrl":"https://doi.org/10.1136/heartjnl-2022-bsci.3","url":null,"abstract":"","PeriodicalId":117644,"journal":{"name":"Scientific oral presentations","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116779057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01DOI: 10.1136/heartjnl-2022-bsci.5
Zuzanna Malgorzata Gebert, A. Moss, J. Weir-McCall, G. Roditi, E. V. Beek, E. Nicol, N. Mills, M. Dweck, D. Dey, D. Newby, M. Williams
{"title":"OP5 Impact of diabetes mellitus on the quantitative assessment of coronary atherosclerosis in scot-heart trial","authors":"Zuzanna Malgorzata Gebert, A. Moss, J. Weir-McCall, G. Roditi, E. V. Beek, E. Nicol, N. Mills, M. Dweck, D. Dey, D. Newby, M. Williams","doi":"10.1136/heartjnl-2022-bsci.5","DOIUrl":"https://doi.org/10.1136/heartjnl-2022-bsci.5","url":null,"abstract":"","PeriodicalId":117644,"journal":{"name":"Scientific oral presentations","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126318673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1136/HEARTJNL-2020-BSCI.4
C. Kotanidis, E. Oikonomou, M. Marwan, K. Thomas, A. Alashi, A. Antonopoulos, C. Shirodaria, S. Neubauer, K. Channon, S. Achenbach, M. Desai, C. Antoniades
Introduction Coronary inflammation induces spatial changes in perivascular adipose tissue (PVAT) composition, which can now be detected as spatial changes in PVAT attenuation quantified by the perivascular Fat Attenuation Index (FAI) on coronary computed tomography angiography (CCTA). We assessed the ability of perivascular FAI mapping around the right and left coronary territories to independently stratify future cardiac risk. Methods This was a post-hoc analysis of the CRISP-CT (Cardiovascular RISk Prediction using Computed Tomography) study that included 3912 patients with an average age of 55.7 years (standard deviation [SD]: 13.7 years). Perivascular FAI mapping was performed around the proximal right (RCA) and left anterior descending (LAD) coronary arteries. FAI was calculated based on the weighted average attenuation of PVAT using the CaRi-HEART algorithm, as previously described. The independent association with future incidence of cardiac death was assessed in adjusted Cox regression models. Results Over a median follow-up period of 5.6 years, 74 cardiac deaths were recorded. The cross-sectional association between perivascular FAI around the RCA and LAD at baseline was found to be moderate (R2=0.36, P Conclusion Perivascular FAI around the coronary arteries is characterised by anatomical/regional variability, and its values are affected by the coronary segment interrogated. Non-invasive characterization of coronary inflammation using CCTA-derived FAI should include a comprehensive assessment of both coronary arteries in order to better characterize the inflammatory residual risk of each patient.
{"title":"OP4 Perivascular fat attenuation index mapping around the right and left coronary artery independently predict cardiac mortality","authors":"C. Kotanidis, E. Oikonomou, M. Marwan, K. Thomas, A. Alashi, A. Antonopoulos, C. Shirodaria, S. Neubauer, K. Channon, S. Achenbach, M. Desai, C. Antoniades","doi":"10.1136/HEARTJNL-2020-BSCI.4","DOIUrl":"https://doi.org/10.1136/HEARTJNL-2020-BSCI.4","url":null,"abstract":"Introduction Coronary inflammation induces spatial changes in perivascular adipose tissue (PVAT) composition, which can now be detected as spatial changes in PVAT attenuation quantified by the perivascular Fat Attenuation Index (FAI) on coronary computed tomography angiography (CCTA). We assessed the ability of perivascular FAI mapping around the right and left coronary territories to independently stratify future cardiac risk. Methods This was a post-hoc analysis of the CRISP-CT (Cardiovascular RISk Prediction using Computed Tomography) study that included 3912 patients with an average age of 55.7 years (standard deviation [SD]: 13.7 years). Perivascular FAI mapping was performed around the proximal right (RCA) and left anterior descending (LAD) coronary arteries. FAI was calculated based on the weighted average attenuation of PVAT using the CaRi-HEART algorithm, as previously described. The independent association with future incidence of cardiac death was assessed in adjusted Cox regression models. Results Over a median follow-up period of 5.6 years, 74 cardiac deaths were recorded. The cross-sectional association between perivascular FAI around the RCA and LAD at baseline was found to be moderate (R2=0.36, P Conclusion Perivascular FAI around the coronary arteries is characterised by anatomical/regional variability, and its values are affected by the coronary segment interrogated. Non-invasive characterization of coronary inflammation using CCTA-derived FAI should include a comprehensive assessment of both coronary arteries in order to better characterize the inflammatory residual risk of each patient.","PeriodicalId":117644,"journal":{"name":"Scientific oral presentations","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131485493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1136/HEARTJNL-2020-BSCI.5
C. Wall, Yuan Huang, C. Uy, E. Le, E. Tombetti, R. Manavaki, M. Dweck, D. Gopalan, M. Bennett, P. Slomka, D. Dey, J. Mason, J. Rudd, J. Tarkin
Introduction Pericoronary adipose tissue (PCAT) density is associated with vascular inflammation, but its nature is not fully understood. We compared PCAT density with clinical and molecular imaging markers of inflammation. Methods PCAT density was quantified in patients with Takayasu arteritis (TAK), coronary artery disease (CAD), and age and gender-matched healthy controls from cardiac CT images using semi-automated software (Autoplaque). In TAK patients, PCAT density was also compared to the Indian Takayasu Clinical Activity Score (ITAS). In CAD patients, PCAT density was compared to maximum tissue-to-blood ratio (TBRmax) from motion-corrected 68Ga-DOTATATE PET, using image registration software (FusionQuant), and aortic 18F-fluorodeoxyglucose (FDG) PET. Imaging was acquired during clinical care or prior research. 68Ga-DOTATATE is an experimental marker of vascular inflammation that binds macrophage somatostatin receptor-2. Results 60 patients were included (TAK, n=20; CAD, n=20; healthy, n=20). Mean PCAT density varied significantly among the three groups (TAK: -74.00 ±SD 11.92 Hounsfield unit [HU]; CAD: -80.39 ±SD 10.9 HU; healthy controls: -83.85 ±SD 10.07 HU; p Conclusion PCAT density could be a useful, non-PET marker of coronary arterial inflammation and disease activity in both TAK and CAD patients.
{"title":"OP5 Pericoronary adipose tissue density is greater in takayasu arteritis than atherosclerosis and is associated with coronary arterial inflammation measured by 68Ga-DOTATATE PET","authors":"C. Wall, Yuan Huang, C. Uy, E. Le, E. Tombetti, R. Manavaki, M. Dweck, D. Gopalan, M. Bennett, P. Slomka, D. Dey, J. Mason, J. Rudd, J. Tarkin","doi":"10.1136/HEARTJNL-2020-BSCI.5","DOIUrl":"https://doi.org/10.1136/HEARTJNL-2020-BSCI.5","url":null,"abstract":"Introduction Pericoronary adipose tissue (PCAT) density is associated with vascular inflammation, but its nature is not fully understood. We compared PCAT density with clinical and molecular imaging markers of inflammation. Methods PCAT density was quantified in patients with Takayasu arteritis (TAK), coronary artery disease (CAD), and age and gender-matched healthy controls from cardiac CT images using semi-automated software (Autoplaque). In TAK patients, PCAT density was also compared to the Indian Takayasu Clinical Activity Score (ITAS). In CAD patients, PCAT density was compared to maximum tissue-to-blood ratio (TBRmax) from motion-corrected 68Ga-DOTATATE PET, using image registration software (FusionQuant), and aortic 18F-fluorodeoxyglucose (FDG) PET. Imaging was acquired during clinical care or prior research. 68Ga-DOTATATE is an experimental marker of vascular inflammation that binds macrophage somatostatin receptor-2. Results 60 patients were included (TAK, n=20; CAD, n=20; healthy, n=20). Mean PCAT density varied significantly among the three groups (TAK: -74.00 ±SD 11.92 Hounsfield unit [HU]; CAD: -80.39 ±SD 10.9 HU; healthy controls: -83.85 ±SD 10.07 HU; p Conclusion PCAT density could be a useful, non-PET marker of coronary arterial inflammation and disease activity in both TAK and CAD patients.","PeriodicalId":117644,"journal":{"name":"Scientific oral presentations","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133920420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1136/heartjnl-2020-bsci.1
M. Osborne-Grinter, J. Kwiecinski, M. Doris, P. McElhinney, S. Cadet, P. Adamson, A. Moss, S. Alam, Amanda L. Hunter, Anoop S. V. Shah, N. Mills, T. Pawade, Chengjia Wang, Jonathan Weir McCall, G. Roditi, E. V. Beek, E. Nicol, D. Berman, P. Slomka, M. Dweck, D. Dey, D. Newby, M. Williams
Maia Osborne-Grinter, Jacek Kwiecinski, Mhairi Doris, Priscilla McElhinney, Sebastien Cadet, Philip D Adamson, Alastair J Moss, Shirjel Alam, Amanda Hunter, Anoop SV Shah, Nicholas L Mills, Tania Pawade, Chengjia Wang, Jonathan Weir McCall, Giles Roditi, Edwin JR van Beek, Edward D Nicol, Daniel Berman, Piotr J Slomka, Marc R Dweck, Damini Dey, David E Newby, Michelle C Williams. British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
Maia osburn - grinter, Jacek Kwiecinski, Mhairi Doris, Priscilla McElhinney, Sebastien Cadet, Philip D Adamson, Alastair J Moss, Shirjel Alam, Amanda Hunter, Anoop SV Shah, Nicholas L Mills, Tania Pawade, Chengjia Wang, Jonathan Weir McCall, Giles roroditi, Edwin JR van Beek, Edward D Nicol, Daniel Berman, Piotr J Slomka, Marc R Dweck, Damini Dey, David E Newby, Michelle C Williams。英国心脏基金会心血管科学中心，爱丁堡大学，英国爱丁堡
{"title":"OP1 Coronary artery disease and atherosclerotic plaque subtypes in patients with suspected angina and a coronary calcium score of zero","authors":"M. Osborne-Grinter, J. Kwiecinski, M. Doris, P. McElhinney, S. Cadet, P. Adamson, A. Moss, S. Alam, Amanda L. Hunter, Anoop S. V. Shah, N. Mills, T. Pawade, Chengjia Wang, Jonathan Weir McCall, G. Roditi, E. V. Beek, E. Nicol, D. Berman, P. Slomka, M. Dweck, D. Dey, D. Newby, M. Williams","doi":"10.1136/heartjnl-2020-bsci.1","DOIUrl":"https://doi.org/10.1136/heartjnl-2020-bsci.1","url":null,"abstract":"Maia Osborne-Grinter, Jacek Kwiecinski, Mhairi Doris, Priscilla McElhinney, Sebastien Cadet, Philip D Adamson, Alastair J Moss, Shirjel Alam, Amanda Hunter, Anoop SV Shah, Nicholas L Mills, Tania Pawade, Chengjia Wang, Jonathan Weir McCall, Giles Roditi, Edwin JR van Beek, Edward D Nicol, Daniel Berman, Piotr J Slomka, Marc R Dweck, Damini Dey, David E Newby, Michelle C Williams. British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK","PeriodicalId":117644,"journal":{"name":"Scientific oral presentations","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125160799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1136/HEARTJNL-2020-BSCI.3
C. Kotanidis, E. Oikonomou, M. Marwan, Laura Kluener, K. Thomas, A. Alashi, A. Antonopoulos, C. Shirodaria, S. Neubauer, K. Channon, S. Achenbach, M. Desai, C. Antoniades
Introduction High-risk plaque (HRP) features on coronary computed tomography angiography (CCTA) are indicators of increased cardiac risk. Coronary inflammation induces spatial changes in perivascular adipose tissue (PVAT) composition, which can be quantified with the perivascular Fat Attenuation Index (FAI). We hypothesized that perivascular FAI mapping can further stratify the cardiac risk associated with HRP on CCTA. Methods Individuals from the CRISP-CT (Cardiovascular RISk Prediction using Computed Tomography) study were included (n=3,912, mean age 55.7±13.7 years, 41.1% females). Perivascular FAI mapping was performed around the proximal right coronary artery and was calculated based on the weighted average attenuation of PVAT using the CaRi-HEART algorithm, as previously described. HRP features were defined as the presence of either positive remodelling, low-attenuation plaque, spotty calcification or napkin-ring sign. The association with future incidence of major adverse cardiac events (cardiac mortality or non-fatal myocardial infarction) was assessed using Cox regression models (adjusted for age, sex, epicardial fat volume and coronary artery disease [≥50% stenosis]). Results The prevalence of HRP and high FAI (≥-70.1 Hounsfield Units, as previously validated) was 23.6% (n=923) and 24.3% (n=952), respectively. Over a median follow-up of 5.6 years (25th-75th percentile: 4.0–7.0 years) 91 MACE were recorded. Patients with both HRP features and high FAI (FAI+/HRP+) had a 6.3-fold higher adjusted risk of MACE compared to those with neither of these risk features (HRP-/FAI-). Furthermore, patients without HRP features but with high FAI (HRP-/FAI+) had a 4.9-fold higher adjusted risk of MACE compared to the reference (HRP-/FAI-) group. Conclusion FAI is a stronger predictor of cardiac mortality than high-risk plaques, and there is additive predictive value between plaque morphology and coronary inflammatory burden. There is need for tools to provide comprehensive risk assessment based on CCTA, by extracting, weighting and interpreting all available information from these scans.
{"title":"OP3 Improved cardiac risk stratification in individuals with high risk plaque features using the perivascular fat attenuation index on CCTA","authors":"C. Kotanidis, E. Oikonomou, M. Marwan, Laura Kluener, K. Thomas, A. Alashi, A. Antonopoulos, C. Shirodaria, S. Neubauer, K. Channon, S. Achenbach, M. Desai, C. Antoniades","doi":"10.1136/HEARTJNL-2020-BSCI.3","DOIUrl":"https://doi.org/10.1136/HEARTJNL-2020-BSCI.3","url":null,"abstract":"Introduction High-risk plaque (HRP) features on coronary computed tomography angiography (CCTA) are indicators of increased cardiac risk. Coronary inflammation induces spatial changes in perivascular adipose tissue (PVAT) composition, which can be quantified with the perivascular Fat Attenuation Index (FAI). We hypothesized that perivascular FAI mapping can further stratify the cardiac risk associated with HRP on CCTA. Methods Individuals from the CRISP-CT (Cardiovascular RISk Prediction using Computed Tomography) study were included (n=3,912, mean age 55.7±13.7 years, 41.1% females). Perivascular FAI mapping was performed around the proximal right coronary artery and was calculated based on the weighted average attenuation of PVAT using the CaRi-HEART algorithm, as previously described. HRP features were defined as the presence of either positive remodelling, low-attenuation plaque, spotty calcification or napkin-ring sign. The association with future incidence of major adverse cardiac events (cardiac mortality or non-fatal myocardial infarction) was assessed using Cox regression models (adjusted for age, sex, epicardial fat volume and coronary artery disease [≥50% stenosis]). Results The prevalence of HRP and high FAI (≥-70.1 Hounsfield Units, as previously validated) was 23.6% (n=923) and 24.3% (n=952), respectively. Over a median follow-up of 5.6 years (25th-75th percentile: 4.0–7.0 years) 91 MACE were recorded. Patients with both HRP features and high FAI (FAI+/HRP+) had a 6.3-fold higher adjusted risk of MACE compared to those with neither of these risk features (HRP-/FAI-). Furthermore, patients without HRP features but with high FAI (HRP-/FAI+) had a 4.9-fold higher adjusted risk of MACE compared to the reference (HRP-/FAI-) group. Conclusion FAI is a stronger predictor of cardiac mortality than high-risk plaques, and there is additive predictive value between plaque morphology and coronary inflammatory burden. There is need for tools to provide comprehensive risk assessment based on CCTA, by extracting, weighting and interpreting all available information from these scans.","PeriodicalId":117644,"journal":{"name":"Scientific oral presentations","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133377897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：