劉婷

劉婷教授是中國醫科大學附屬第一醫院放射科教授，主任醫師，博士生導師，美國哈佛大學麻省總醫院博士後，美國Cedars Sinai醫學中心項目博士後，國家優秀青年科學基金項目（海外）獲得者。國際心血管CT協會專家會士，國際心血管磁共振協會專家會士，2016年起作為唯一亞洲成員任職 SCCT Firstexecutive committee 青年領導委員會，2019年繼續當選SCCT CME committee執行委員會成員 ，這是亞洲成員首次在國際心血管CT協會總部任職。同年任職國際心血管磁共振協會教育委員會委員。中華放射學會磁共振學組委員，中國醫師協會放射學分會心血管學組委員，國際心血管磁共振協會中國區常委，國際心血管CT協會中國區青委會副主委，中國研究型醫院感染協會青委會副主委，中國醫學裝備協會磁共振專委會委員，獲得2019年國際心血管CT協會GOLD AWARDS，亞洲心血管影像協會Best trainne。多次受邀美國心臟協會，國際心血管磁共振協會，國際心血管CT協會，亞洲心血管影像協會特邀做專題報告。擔任JMRI, Quantitative imaging and suregey等多本SCI雜誌編委。 ^{[2]  [4]} 

長期從事心血管影像放射診斷臨牀工作，對心臟磁共振及CT的臨牀應用具有豐富的經驗，是亞太放射學會認證心血管影像培訓導師，主持國家優秀青年科學基金項目（海外）一項，國家自然基金面上項目兩項。同時在美期間主持心血管領域國際著名多中心試驗 ROMOCAT II 和 Framingham研究中多項子課題。先後在《Journal of the American College of Cardiology》、《JACC：Cardiovascular Imaging》等心血管頂級雜誌發表SCI 30餘篇，單篇最高影響因子27.203分，累計影響因子100餘分，Google scholar他引1000餘次。

研究成果被寫入歐洲心臟病學會（ESC）/美國心臟病學會（ACC）/美國心臟協會（AHA）/世界心臟聯合會（WHF ）專家共識《第四版心肌梗死通用定義》，《2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR胸痛評估和診斷指南》，《SCCT/ACR/NASCI冠心病-CAD-RADS報告應用專家共識》等 8部國際指南並被推薦使用，同時寫入7本心血管領域經典英文教科書及專著。研究所獲重要內容曾多次被《Lancet》，《JAMA Cadiology 》，《JACC》, 《Europeanheart Journal》等雜誌引用和配發專題評述並給予正性評價。 ^[4] 

劉婷副教授作為青年領導委員會代表在7月13號舉行的SCCT年會 “”SCCT Jeopardy”心血管CT競賽環節與SCCT前任主席 Dr. Jonathon Leipsic一起以大比分優勢獲得本屆競賽冠軍。 ^[2] 

1.國家自然科學基金委員會，優秀青年（海外）項目，急性冠脈綜合徵的額精準影像學，2023年1月1號-2025年12月30號，200萬，在研，主持.

2.國家自然科學基金委員會，面上項目，82171918基於LRT-R2*Mapping成像及蛋白質組學分析探討鐵死亡介導梗死後心肌出血性損傷及其不良預後的機制研究2022年1月1號-2025年12月31號55萬，在研，主持

3.國家自然科學基金委員會，面上項目，81871435，基於神經網絡深度學習的全心冠狀動脈斑塊定量化分析及破裂風險預警模型研究，2019.01-2022.12，57萬，結題，主持

4興遼英才青年拔尖人才項目，50萬，在研，主持.

5.中國醫科大學青年拔尖人才，心肌內出血的機制及影像學評估.，2023年1月-2025年12月，100萬，在研主持

6.遼寧省教育廳重點實驗室項目LS201614，動脈粥樣硬化易損斑塊的多模影像預警模型研究，2016.07-2019.07，10萬，結題，主持

7.遼寧省興遼英才計劃支持項目，HIV相關心血管損傷及其預後得機制研究，XLYC2007058,2021.01-2023.12。50萬元，在研，主持

8.國家重點研發計劃項目，2016YFC1300400，冠狀動脈粥樣硬化病變早期識別和風險預警的影像學評價體系研究，2016年7月-2021年7月，830萬，結題，參加

9.國家自然科學基金委員會，青年項目，81801661，干擾校正R2*mapping聯合PDFF定量評估出血性心肌梗死慢性期鐵沉積介導梗死區脂肪浸潤及其機制研究，2019.01-2021.12，21萬，結題，參加

10.遼寧省優秀人才培育項目，2014021072，雙源CT雙能量成像評價心肌缺血與再灌注及心肌活性的實驗及臨牀研究，2014年7月-2017年7月，5萬元，已結題，參加 ^[4] 

LiuT, Howarth AG, Chen Y, Nair AR, Yang HJ, Ren D, Tang R, Sykes J,Kovacs MS, Dey D, Slomka P, Wood JC, Finney R, Zeng M, Prato FS, Francis J,Berman DS, Shah PK, Kumar A, Dharmakumar R. Intramyocardial Hemorrhage and the"Wave Front" of Reperfusion Injury Compromising Myocardial Salvage. JAm Coll Cardiol. 2022 Jan 4;79(1):35-48. (IF:27.034)

Li H, Zheng Y, Peng X, Liu H, Li Y, Tian Z, Hou Y,Jin S, Huo H, Liu T. Heart failure with preserved ejection fraction inpost myocardial infarction patients: a myocardial magnetic resonance (MR)tissue tracking study. Quant Imaging Med Surg. 2023 Mar 1;13(3):1723-1739.

Zhang H, Tian Z, Huo H, Li H, Liu H, Hou Y, Dai X, LiuT, Jin S. Effect of Infarct Location and Size on Left Atrial Function: ACardiovascular Magnetic Resonance Feature Tracking Study. J Clin Med. 2022 Nov24;11(23):6938.

Cao J, Li S, Cui L, Zhu K, Huo H, Liu T.Biventricular Myocardial Strain Analysis in Patients with Pulmonary ArterialHypertension Using Cardiac Magnetic Resonance Tissue-Tracking Technology. JClin Med. 2022 Apr 15;11(8):2230.

Peng X, Ding H, Huo H, Zheng Y, Zhou J, Li H, Hou Y,Li X, Geng W, Shang H, Liu T. Cardiac MRI-Based Assessment of MyocardialInjury in Asymptomatic People Living With Human Immunodeficiency Virus:Correlation With nadir CD4 Count. J Magn Reson Imaging. 2023 Mar 29.

Zheng Y, Liu H, Zhao L, Guan S, Huo H, Li H, Guo J,Peng X, Hao Y, Jin S, Hou Y, Dai X, Liu T, Zhang X. Serial Cardiac MRIfor Quantification of the Dynamics of Anthracycline-Induced SubclinicalMyocardial Injury. J Magn Reson Imaging. 2023 Mar 13.

Zhou K, Shang J, Guo Y, Ma S, Lv B, Zhao N, Liu H,Zhang J, Xv L, Wang Y, Liu T, Wang K, Dang Y, Ma Y, Chen X, Zhu N, RanZ, Li S, Ma Q, Hu H, Zhu X, Li D, Hou Y. Incremental diagnostic value ofradiomics signature of pericoronary adipose tissue for detecting functionalmyocardial ischemia: a multicenter study. Eur Radiol. 2023 May;33(5):3007-3019.

Chen Y, Ren D, Guan X, Yang HJ, Liu T, Tang R, Ho H, Jin H, Zeng M,Dharmakumar R. Quantification of myocardial hemorrhage using T2* cardiovascular magneticresonance at1.5T with ex-vivovalidation. J Cardiovasc Magn Reson. 2021 Sep 30;23(1):104. (IF:5.364)

DangY, Chen X, Ma S, Ma Y, Ma Q, Zhou K, Liu T, WangK, Hou Y. Association of PericoronaryAdipose Tissue Quality Determined by Dual-Layer Spectral Detector CT WithSeverity of Coronary Artery Disease: A Preliminary Study. Front Cardiovasc Med.2021 Sep 30;8:720127. (IF:6.050)

Ma S, Chen X, Ma Y, Liu H, Zhang J, XuL, Wang Y, Liu T, Wang K, Yang J,Hou Y. Lesion- Specific Peri-Coronary Fat Attenuation Index Is Associated WithFunctional Myocardial Ischemia Defined by Abnormal Fractional Flow Reserve. FrontCardiovasc Med. 2021 Nov3;8:755295. (IF:6.050)

ShangJ, Ma S, Guo Y, Yang L, Zhang Q, Xie F, Ma Y, Ma Q, Dang Y, Zhou K, Liu T, Yang J, Hou Y. Prediction of acute coronary syndromewithin 3 years using radiomics signature of pericoronary adipose tissue basedon coronary computed tomography angiography. Eur Radiol. 2021 Aug 25.(IF:5.315)

ChenX, Dang Y, Hu H, Ma S, Ma Y,Wang K, Liu T, Lu X, HouY. Pericoronary adipose tissueattenuation assessed by dual-layer spectral detector computed tomography is asensitiveimaging markerof high-risk plaques.Quant Imaging Med Surg. 2021 May;11(5):2093-2103. (IF:3.837)

Huo H, Li S, Zheng Y, Zhou J, Song Y,Liu S, Hou Y, Liu T*. DiagnosticAccuracy of Cardiac Magnetic Resonance TissueTracking Technology for differentiation Acuteversus Chronic MyocardialInfarction. Quant Imaging Med Surg. 2021 Aug;11(8) （IF:3.837）

Zhang X; He D; Zheng Y; Huo H; Li S;Chai, R; Liu, T*. Deep LearningBased Analysis of Breast Cancer Using Advanced EnsembleClassifier and LinearDiscriminant Analysis. IEEE Access. 2020; 8(12) 120208-120217(IF:3.745)

ZhangX, Wang D, Liu Z, Wang Z, Li Q, Xu H, Zhang B, Liu T*, JinF*. The diagnostic accuracy of magnetic resonance imaging in predicting pathologiccomplete response after neoadjuvant chemotherapy in patients with different molecularsubtypes of breastcancer. Quant Imaging Med Surg. 2020 Jan;10(1):197-210 （IF:3.837）

LiuT#*, Yuan X#, Wang C, Sun M, Jin S, Dai X*. Quantification ofplaque characteristics detected by dual source computed tomography angiographyto predict myocardial ischemia as assessed by single photon emission computedtomography myocardial perfusion imaging. Quant Imaging Med Surg. 2019Apr;9(4):711-721. （IF:3.837）

LiuT#, Wang C#, zhao Y, Li P*. Age- and gender-related normalreferences of right ventricular strain values by tissue tracking cardiacmagnetic resonance: results from a Chinese population. Quant Imaging Med Surg.2019 Aug;9(8):1441-1450. （IF:3.837）

LiuT#, Ferencik M#, Mayrhofer T, Puchner SB, Lu MT,Maurovich-Horvat P, Pope JH,Truong QA, UdelsonJE, Peacock WF, White CS, Woodard PK, Fleg JL, Nagurney JT,Januzzi JL, Hoffmann U. hs-Troponin IFollowed by CT Angiography Improves Acute Coronary Syndrome Risk StratificationAccuracy and Work-Up in Acute Chest Pain Patients:Results From ROMICAT IITrial. JACC Cardiovasc Imaging. 2015 Nov;8(11):1272-81.( 一 區IF:14.805)

Puchner SB, Liu T, Mayrhofer T, Truong QA, Lee H, Fleg JL, Nagurney JT, UdelsonJE,Hoffmann U, Ferencik M*. High-risk plaque detected on coronary CTangiography predictsacute coronary syndromes independent of significant stenosis in acute chest pain: resultsfrom the ROMICAT-II trial. JAm Coll Cardiol. 2014 Aug 19;64(7):684-92. (一區，IF:24.096)

Liu T#*, Maurovich-Horvat P#, Mayrhofer T, Puchner SB, Lu MT, Ghemigian K, KitslaarPH,Broersen A, Pursnani A, Hoffmann U, Ferencik M. Quantitative coronaryplaqueanalysis predicts high-risk plaque morphology on coronary computedtomographyangiography: results from the ROMICAT II trial. Int J CardiovascImaging. 2018 Feb;34(2):311-319. (三區，IF:2.357)

LiuT, Wang G, Li P, Dai X*. Risk classification of highly sensitivetroponin I predict presence of vulnerable plaque assessed by dual sourcecoronary computed tomography angiography. Int J Cardiovasc Imaging. 2017Nov;33(11):1831-1839. (三區，IF:2.357)

Ferencik M*, Pencina KM, Liu T, Ghemigian K, Baltrusaitis K, Massaro JM,D'Agostino RB Sr, O'Donnell CJ, Hoffmann U. Coronary Artery Calcium Distribution Is an Independent Predictor of Incident Major Coronary Heart Disease Events:Results From the Framingham Heart Study. Circ CardiovascImaging. 2017 Oct;10(10). (一區，IF:7.792)

Yu L, Tao X, Dai X, Liu T, Zhang J*. Dynamic CT MyocardialPerfusion Imaging in Patients without Obstructive Coronary Artery Disease:Quantification of Myocardial Blood Flow according to Varied Heart RateIncrements after Stress. Korean J Radiol. 2021 Jan;22(1):97- 105 (三區，IF:3.500)

Puchner SB*, Lu MT, Mayrhofer T, Liu T, Pursnani A, Ghoshhajra BB,Truong QA,Wiviott SD, Fleg JL, Hoffmann U, Ferencik M. High-risk coronaryplaque at coronary CT angiography is associated with nonalcoholic fatty liverdisease, independent of coronary plaque and stenosis burden: results from theROMICAT II trial. Radiology. 2015 Mar;274(3):693-701. (一區，IF:11.105)

Janjua SA*, Pursnani A, Mayrhofer T,Puchner SB, Liu T, Lu MT,Maurovich-Horvat P, Woodard PK, Chou E, FlegJL, Truong QA, Ferencik M, Hoffmann U. Statin Use Is Associated With Fewer High-Risk Plaqueson Coronary CT Angiography. JACC Cardiovasc Imaging. 2017 Feb;10(2):208-210. (一區，IF:14.805)

Ferencik M*, Lu MT, Mayrhofer T,Puchner SB, Liu T, Maurovich-HorvatP, Ghemigian K, Ivanov A, Adami E, Nagurney JT, Woodard PK, Truong QA, UdelsonJE, Hoffmann U. Noninvasive fractional flow reserve derived from coronarycomputed tomography angiography in patientswith acute chest pain: Subgroupanalysis of the ROMICAT II trial. J Cardiovasc Comput Tomogr. 2019Jul-Aug;13(4):196-202. (二區，IF:4.309)

Ferencik M*, Mayrhofer T, Puchner SB,Lu MT, Maurovich-Horvat P, Liu T, GhemigianK, Kitslaar P, Broersen A, Bamberg F, Truong QA, Schlett CL, Hoffmann U.Computed tomography-based high-risk coronary plaque score to predict acutecoronary syndrome among patients with acute chest pain - Results from theROMICAT II trial. J Cardiovasc Comput Tomogr. 2015 Nov-Dec;9(6):538-545. (二區，IF:4.309)

Lu MT*, Park J, Ghemigian K, MayrhoferT, Puchner SB, Liu T, Fleg JL,Udelson JE, Truong QA, Ferencik M, Hoffmann U. Epicardial and paracardialadipose tissue volume and attenuation - Association with high-risk coronaryplaque on computedtomographic angiography in the ROMICAT II trial.Atherosclerosis. 2016 Aug;251:47-54. ( 二區，IF:5.162)

Sun Y, Yu X, Zhi Y, Geng S, Li H, Liu T, Xu K, Chen L, Wu C, Qi G*.Across-sectional analysis of the relationship between uric acid and coronaryatherosclerosis in patients with suspected coronary arterydisease in China.BMC Cardiovasc Disord.2014 Aug 16;14:101. (四區，IF:2.298)

SunY, Yu X, Zhi Y, Geng S, Li H, Liu T, XuK, Qi G*. Influence of Cigarette Smokingon Burden and Characteristicsof Coronary Artery Plaques in Chinese Men. Acta Cardiol Sin. 2015Sep;31(5):398-405. (四區，IF:2.672)

Yu Y, Yin W, Liao K, Liu T, Wang X, Sun K, Lu B.Individualized contrast agents injection protocol tailored to body surface areain coronary computed tomography angiography. Acta Radiol. 2019Nov;60(11):1430-1437. (IF:1.990)

Puchner SB, Mayrhofer T, Park J, Lu MT, Liu T, Maurovich-Horvat P, GhemigianK, Bittner DO, Fleg JL, Udelson JE, Truong QA, Hoffmann U, Ferencik M. Differences in the association of total versus local coronaryartery calcium with acute coronary syndrome and culprit lesions in patientswith acute chest pain: The coronary calcium paradox. Atherosclerosis. 2018Jul;274:251-257. (，IF:5.162)

Wu X, Liu XB, Liu T, Tian W, Sun YJ. Effects of different statins applicationmethods on plaques in patients with coronary atherosclerosis. World J ClinCases. 2021 Feb 6;9(4):812-821. (四區，IF:1.337)

ChenX, Dang Y, Hu H, Ma S, Ma Y,Wang K, Liu T, Lu X, HouY. Pericoronary adipose tissueattenuation assessed by dual-layer spectral detector computed tomography is asensitive imaging marker of high-risk plaques. Quant Imaging Med Surg. 2021May;11(5):2093- 2103. (IF:3.837)

Chen Y, Ren D, Guan X, Yang HJ, Liu T, Tang R, Ho H, Jin H, Zeng M,Dharmakumar R. Quantification of myocardial hemorrhage using T2* cardiovascular magneticresonance at

1.5T with ex-vivovalidation. J Cardiovasc Magn Reson. 2021 Sep 30;23(1):104. (IF:5.364)

DangY, Chen X, Ma S, Ma Y, Ma Q, Zhou K, Liu T, WangK, Hou Y. Association of PericoronaryAdipose Tissue Quality Determined by Dual-Layer Spectral Detector CT WithSeverity of Coronary Artery Disease: A Preliminary Study. Front Cardiovasc Med.2021 Sep 30;8:720127. (IF:6.050) ^[4] 

國家自然基金優秀青年基金獲得者，國際心血管CT協會院士，國際心血管磁共振協會院士，興遼英才青年拔尖人才，中國醫科大學青年拔尖人才，2023中國醫科大學先進個人，優秀科技工作者 ^[4] 

劉婷副教授一直從事心血管影像的相關研究，2012至2014年間於美國哈佛大學麻省總醫院進行心血管CT相關的博士後研究，參與並主持多項著名大型國際心血管多中心研究ROMICATII 和Framingham中高危斑塊相關子課題，其在冠狀動脈CTA易損斑塊的相關研究受到國內外廣泛認可，部分研究結果被納入美國SCCT/ACR/ACC冠狀動脈CAD-RADS報告專家共識，更新了國內外冠狀動脈CTA診斷的指南和共識。 ^[2] 

心胸部影像診斷,心腦血管影像學,心臟磁共振,缺血性心肌病與心肌內出血 ^[4] 

SCCT年會 “”SCCT Jeopardy”心血管CT競賽環節獲得本屆競賽冠軍。 ^[2]