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Items: 1 to 50 of 188

1.

Four Different Carotid Atherosclerotic Behaviors Based on Luminal Stenosis and Plaque Characteristics in Symptomatic Patients: An in Vivo Study.

Watase H, Canton G, Sun J, Zhao X, Hatsukami TS, Yuan C.

Diagnostics (Basel). 2019 Oct 2;9(4). pii: E137. doi: 10.3390/diagnostics9040137.

2.

Combining morphological and biomechanical factors for optimal carotid plaque progression prediction: An MRI-based follow-up study using 3D thin-layer models.

Wang Q, Tang D, Wang L, Canton G, Wu Z, Hatsukami TS, Billiar KL, Yuan C.

Int J Cardiol. 2019 Oct 15;293:266-271. doi: 10.1016/j.ijcard.2019.07.005. Epub 2019 Jul 4.

PMID:
31301863
3.

Improved carotid lumen delineation on non-contrast MR angiography using SNAP (Simultaneous Non-Contrast Angiography and Intraplaque Hemorrhage) imaging.

Liu H, Sun J, Hippe DS, Wu W, Chu B, Balu N, Hatsukami T, Yuan C.

Magn Reson Imaging. 2019 Oct;62:87-93. doi: 10.1016/j.mri.2019.06.012. Epub 2019 Jun 24.

PMID:
31247251
4.

Understanding Atherosclerosis Through an Osteoarthritis Data Set.

Liu W, Balu N, Canton G, Hippe DS, Watase H, Waterton JC, Hatsukami T, Yuan C.

Arterioscler Thromb Vasc Biol. 2019 Jun;39(6):1018-1025. doi: 10.1161/ATVBAHA.119.312513.

PMID:
31070477
5.

Quantitative assessment of the intracranial vasculature in an older adult population using iCafe.

Chen L, Sun J, Hippe DS, Balu N, Yuan Q, Yuan I, Zhao X, Li R, He L, Hatsukami TS, Hwang JN, Yuan C.

Neurobiol Aging. 2019 Jul;79:59-65. doi: 10.1016/j.neurobiolaging.2019.02.027. Epub 2019 Mar 28.

PMID:
31026623
6.

Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications.

Saba L, Saam T, Jäger HR, Yuan C, Hatsukami TS, Saloner D, Wasserman BA, Bonati LH, Wintermark M.

Lancet Neurol. 2019 Jun;18(6):559-572. doi: 10.1016/S1474-4422(19)30035-3. Epub 2019 Apr 4. Review.

PMID:
30954372
7.

Semiautomatic carotid intraplaque hemorrhage volume measurement using 3D carotid MRI.

Liu J, Sun J, Balu N, Ferguson MS, Wang J, Kerwin WS, Hippe DS, Wang A, Hatsukami TS, Yuan C.

J Magn Reson Imaging. 2019 Oct;50(4):1055-1062. doi: 10.1002/jmri.26698. Epub 2019 Mar 12.

PMID:
30861249
8.

Inter-rater and scan-rescan reproducibility of the detection of intracranial atherosclerosis on contrast-enhanced 3D vessel wall MRI.

Mossa-Basha M, Watase H, Sun J, Shibata DK, Hippe DS, Balu N, Hatsukami T, Yuan C.

Br J Radiol. 2019 May;92(1097):20180973. doi: 10.1259/bjr.20180973. Epub 2019 Feb 26.

PMID:
30789784
9.

Intracranial aneurysms at higher clinical risk for rupture demonstrate increased wall enhancement and thinning on multicontrast 3D vessel wall MRI.

Hartman JB, Watase H, Sun J, Hippe DS, Kim L, Levitt M, Sekhar L, Balu N, Hatsukami T, Yuan C, Mossa-Basha M.

Br J Radiol. 2019 Apr;92(1096):20180950. doi: 10.1259/bjr.20180950. Epub 2019 Jan 30.

PMID:
30653339
10.

Accelerated multi-contrast high isotropic resolution 3D intracranial vessel wall MRI using a tailored k-space undersampling and partially parallel reconstruction strategy.

Balu N, Zhou Z, Hippe DS, Hatsukami T, Mossa-Basha M, Yuan C.

MAGMA. 2019 Jun;32(3):343-357. doi: 10.1007/s10334-018-0730-8. Epub 2019 Jan 3.

11.

Quantification of morphometry and intensity features of intracranial arteries from 3D TOF MRA using the intracranial artery feature extraction (iCafe): A reproducibility study.

Chen L, Mossa-Basha M, Sun J, Hippe DS, Balu N, Yuan Q, Pimentel K, Hatsukami TS, Hwang JN, Yuan C.

Magn Reson Imaging. 2019 Apr;57:293-302. doi: 10.1016/j.mri.2018.12.007. Epub 2018 Dec 20.

PMID:
30580079
12.

Comparison of outcomes in women and men following carotid interventions in the Washington state's Vascular Interventional Surgical Care and Outcomes Assessment Program.

Nevidomskyte D, Tang GL, Shin SH, Hatsukami TS, Khor S, Flum DR, Meissner MH, Shalhub S; Surgical Care and Outcomes Assessment Program (SCOAP) Collaborative.

J Vasc Surg. 2019 Apr;69(4):1121-1128. doi: 10.1016/j.jvs.2018.08.152. Epub 2018 Oct 6.

PMID:
30301684
13.

Association of variant arch anatomy with type B aortic dissection and hemodynamic mechanisms.

Shalhub S, Schäfer M, Hatsukami TS, Sweet MP, Reynolds JJ, Bolster FA, Shin SH, Reece TB, Singh N, Starnes BW, Jazaeri O.

J Vasc Surg. 2018 Dec;68(6):1640-1648. doi: 10.1016/j.jvs.2018.03.409. Epub 2018 May 24.

PMID:
29804742
14.

Carotid Artery Remodeling Is Segment Specific: An In Vivo Study by Vessel Wall Magnetic Resonance Imaging.

Watase H, Sun J, Hippe DS, Balu N, Li F, Zhao X, Mani V, Fayad ZA, Fuster V, Hatsukami TS, Yuan C.

Arterioscler Thromb Vasc Biol. 2018 Apr;38(4):927-934. doi: 10.1161/ATVBAHA.117.310296. Epub 2018 Feb 22.

15.

Carotid Artery Wall Imaging: Perspective and Guidelines from the ASNR Vessel Wall Imaging Study Group and Expert Consensus Recommendations of the American Society of Neuroradiology.

Saba L, Yuan C, Hatsukami TS, Balu N, Qiao Y, DeMarco JK, Saam T, Moody AR, Li D, Matouk CC, Johnson MH, Jäger HR, Mossa-Basha M, Kooi ME, Fan Z, Saloner D, Wintermark M, Mikulis DJ, Wasserman BA; Vessel Wall Imaging Study Group of the American Society of Neuroradiology.

AJNR Am J Neuroradiol. 2018 Feb;39(2):E9-E31. doi: 10.3174/ajnr.A5488. Epub 2018 Jan 11.

16.
17.

Development of a quantitative intracranial vascular features extraction tool on 3D MRA using semiautomated open-curve active contour vessel tracing.

Chen L, Mossa-Basha M, Balu N, Canton G, Sun J, Pimentel K, Hatsukami TS, Hwang JN, Yuan C.

Magn Reson Med. 2018 Jun;79(6):3229-3238. doi: 10.1002/mrm.26961. Epub 2017 Oct 17.

18.

Added Value of Vessel Wall Magnetic Resonance Imaging for Differentiation of Nonocclusive Intracranial Vasculopathies.

Mossa-Basha M, Shibata DK, Hallam DK, de Havenon A, Hippe DS, Becker KJ, Tirschwell DL, Hatsukami T, Balu N, Yuan C.

Stroke. 2017 Nov;48(11):3026-3033. doi: 10.1161/STROKEAHA.117.018227. Epub 2017 Oct 13.

19.
20.

Prevalence and Characteristics of Carotid Artery High-Risk Atherosclerotic Plaques in Chinese Patients With Cerebrovascular Symptoms: A Chinese Atherosclerosis Risk Evaluation II Study.

Zhao X, Hippe DS, Li R, Canton GM, Sui B, Song Y, Li F, Xue Y, Sun J, Yamada K, Hatsukami TS, Xu D, Wang M, Yuan C; CARE‐II Study Collaborators.

J Am Heart Assoc. 2017 Aug 14;6(8). pii: e005831. doi: 10.1161/JAHA.117.005831.

21.

Introduction: Evolution of carotid atherosclerotic disease therapies.

Hatsukami TS.

Semin Vasc Surg. 2017 Mar;30(1):1. doi: 10.1053/j.semvascsurg.2017.04.003. Epub 2017 Apr 27. No abstract available.

PMID:
28818253
22.

MRI-based patient-specific human carotid atherosclerotic vessel material property variations in patients, vessel location and long-term follow up.

Wang Q, Canton G, Guo J, Guo X, Hatsukami TS, Billiar KL, Yuan C, Wu Z, Tang D.

PLoS One. 2017 Jul 17;12(7):e0180829. doi: 10.1371/journal.pone.0180829. eCollection 2017.

23.

Association between Snoring and High-Risk Carotid Plaque Features.

Kirkham EM, Hatsukami TS, Heckbert SR, Sun J, Canton G, Yuan C, Weaver EM.

Otolaryngol Head Neck Surg. 2017 Aug;157(2):336-344. doi: 10.1177/0194599817715634. Epub 2017 Jul 11.

24.

A vascular image registration method based on network structure and circuit simulation.

Chen L, Lian Y, Guo Y, Wang Y, Hatsukami TS, Pimentel K, Balu N, Yuan C.

BMC Bioinformatics. 2017 May 2;18(1):229. doi: 10.1186/s12859-017-1649-1.

25.

Risk Factors for Development of Carotid Plaque Components.

Zhao XQ, Hatsukami TS.

JACC Cardiovasc Imaging. 2018 Feb;11(2 Pt 1):193-195. doi: 10.1016/j.jcmg.2016.12.027. Epub 2017 Apr 12. No abstract available.

26.

Imaging atherosclerosis in rheumatoid arthritis: evidence for increased prevalence, altered phenotype and a link between systemic and localised plaque inflammation.

Skeoch S, Cristinacce PLH, Williams H, Pemberton P, Xu D, Sun J, James J, Yuan C, Hatsukami T, Hockings PD, Alexander MY, Waterton JC, Bruce IN.

Sci Rep. 2017 Apr 11;7(1):827. doi: 10.1038/s41598-017-00989-w.

27.

Carotid Plaque Lipid Content and Fibrous Cap Status Predict Systemic CV Outcomes: The MRI Substudy in AIM-HIGH.

Sun J, Zhao XQ, Balu N, Neradilek MB, Isquith DA, Yamada K, Cantón G, Crouse JR 3rd, Anderson TJ, Huston J 3rd, O'Brien K, Hippe DS, Polissar NL, Yuan C, Hatsukami TS.

JACC Cardiovasc Imaging. 2017 Mar;10(3):241-249. doi: 10.1016/j.jcmg.2016.06.017.

28.

Noninvasive characterization of carotid plaque strain.

Khan AA, Sikdar S, Hatsukami T, Cebral J, Jones M, Huston J, Howard G, Lal BK.

J Vasc Surg. 2017 Jun;65(6):1653-1663. doi: 10.1016/j.jvs.2016.12.105. Epub 2017 Mar 6.

29.

Simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) imaging: Comparison with contrast-enhanced MR angiography for measuring carotid stenosis.

Shu H, Sun J, Hatsukami TS, Balu N, Hippe DS, Liu H, Kohler TR, Zhu W, Yuan C.

J Magn Reson Imaging. 2017 Oct;46(4):1045-1052. doi: 10.1002/jmri.25653. Epub 2017 Feb 6.

30.

Ipsilateral plaques display higher T1 signals than contralateral plaques in recently symptomatic patients with bilateral carotid intraplaque hemorrhage.

Wang X, Sun J, Zhao X, Hippe DS, Hatsukami TS, Liu J, Li R, Canton G, Song Y, Yuan C; CARE-II study investigators.

Atherosclerosis. 2017 Feb;257:78-85. doi: 10.1016/j.atherosclerosis.2017.01.001. Epub 2017 Jan 12.

31.

"Small Blood Vessels: Big Health Problems?": Scientific Recommendations of the National Institutes of Health Workshop.

Bosetti F, Galis ZS, Bynoe MS, Charette M, Cipolla MJ, Del Zoppo GJ, Gould D, Hatsukami TS, Jones TL, Koenig JI, Lutty GA, Maric-Bilkan C, Stevens T, Tolunay HE, Koroshetz W; “Small Blood Vessels: Big Health Problems” Workshop Participants.

J Am Heart Assoc. 2016 Nov 4;5(11). pii: e004389. No abstract available.

32.

Carotid plaque fissure: An underestimated source of intraplaque hemorrhage.

Daemen MJ, Ferguson MS, Gijsen FJ, Hippe DS, Kooi ME, Demarco K, van der Wal AC, Yuan C, Hatsukami TS.

Atherosclerosis. 2016 Nov;254:102-108. doi: 10.1016/j.atherosclerosis.2016.09.069. Epub 2016 Sep 28.

33.

Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection.

Liu J, Balu N, Hippe DS, Ferguson MS, Martinez-Malo V, DeMarco JK, Zhu DC, Ota H, Sun J, Xu D, Kerwin WS, Hatsukami TS, Yuan C.

J Cardiovasc Magn Reson. 2016 Jul 16;18(1):41. doi: 10.1186/s12968-016-0260-3.

34.

Added Value of Vessel Wall Magnetic Resonance Imaging in the Differentiation of Moyamoya Vasculopathies in a Non-Asian Cohort.

Mossa-Basha M, de Havenon A, Becker KJ, Hallam DK, Levitt MR, Cohen WA, Hippe DS, Alexander MD, Tirschwell DL, Hatsukami T, Amlie-Lefond C, Yuan C.

Stroke. 2016 Jul;47(7):1782-8. doi: 10.1161/STROKEAHA.116.013320. Epub 2016 Jun 7.

35.

Blood Pressure Is a Major Modifiable Risk Factor Implicated in Pathogenesis of Intraplaque Hemorrhage: An In Vivo Magnetic Resonance Imaging Study.

Sun J, Canton G, Balu N, Hippe DS, Xu D, Liu J, Hatsukami TS, Yuan C.

Arterioscler Thromb Vasc Biol. 2016 Apr;36(4):743-9. doi: 10.1161/ATVBAHA.115.307043. Epub 2016 Feb 4.

36.

Plaque Imaging to Decide on Optimal Treatment: Medical Versus Carotid Endarterectomy Versus Carotid Artery Stenting.

Sun J, Hatsukami TS.

Neuroimaging Clin N Am. 2016 Feb;26(1):165-73. doi: 10.1016/j.nic.2015.09.011. Review.

PMID:
26610667
37.

Nonstenotic Culprit Plaque: The Utility of High-Resolution Vessel Wall MRI of Intracranial Vessels after Ischemic Stroke.

de Havenon A, Yuan C, Tirschwell D, Hatsukami T, Anzai Y, Becker K, Sultan-Qurraie A, Mossa-Basha M.

Case Rep Radiol. 2015;2015:356582. doi: 10.1155/2015/356582. Epub 2015 Aug 6.

38.

High resolution FDG-microPET of carotid atherosclerosis: plaque components underlying enhanced FDG uptake.

Liu J, Kerwin WS, Caldwell JH, Ferguson MS, Hippe DS, Alessio AM, Martinez-Malo V, Pimentel K, Miyaoka RS, Kohler TR, Hatsukami TS, Yuan C.

Int J Cardiovasc Imaging. 2016 Jan;32(1):145-52. doi: 10.1007/s10554-015-0739-2. Epub 2015 Aug 18.

39.

In vivo semi-automatic segmentation of multicontrast cardiovascular magnetic resonance for prospective cohort studies on plaque tissue composition: initial experience.

Yoneyama T, Sun J, Hippe DS, Balu N, Xu D, Kerwin WS, Hatsukami TS, Yuan C.

Int J Cardiovasc Imaging. 2016 Jan;32(1):73-81. doi: 10.1007/s10554-015-0704-0. Epub 2015 Jul 14.

40.

Multicontrast high-resolution vessel wall magnetic resonance imaging and its value in differentiating intracranial vasculopathic processes.

Mossa-Basha M, Hwang WD, De Havenon A, Hippe D, Balu N, Becker KJ, Tirschwell DT, Hatsukami T, Anzai Y, Yuan C.

Stroke. 2015 Jun;46(6):1567-73. doi: 10.1161/STROKEAHA.115.009037. Epub 2015 May 7.

PMID:
25953365
41.

Joint blood and cerebrospinal fluid suppression for intracranial vessel wall MRI.

Wang J, Helle M, Zhou Z, Börnert P, Hatsukami TS, Yuan C.

Magn Reson Med. 2016 Feb;75(2):831-8. doi: 10.1002/mrm.25667. Epub 2015 Mar 13.

PMID:
25772551
42.

Intravascular ultrasound is a critical tool for accurate endograft sizing in the management of blunt thoracic aortic injury.

Wallace GA, Starnes BW, Hatsukami TS, Sobel M, Singh N, Tran NT.

J Vasc Surg. 2015 Mar;61(3):630-5. doi: 10.1016/j.jvs.2014.10.014. Epub 2014 Dec 9.

43.

Clinical factors associated with high-risk carotid plaque features as assessed by magnetic resonance imaging in patients with established vascular disease (from the AIM-HIGH Study).

Zhao XQ, Hatsukami TS, Hippe DS, Sun J, Balu N, Isquith DA, Crouse JR 3rd, Anderson T, Huston J 3rd, Polissar N, O'Brien K, Yuan C; AIM-HIGH Carotid MRI Sub-study Investigators.

Am J Cardiol. 2014 Nov 1;114(9):1412-9. doi: 10.1016/j.amjcard.2014.08.001. Epub 2014 Aug 13.

44.

Carotid magnetic resonance imaging for monitoring atherosclerotic plaque progression: a multicenter reproducibility study.

Sun J, Zhao XQ, Balu N, Hippe DS, Hatsukami TS, Isquith DA, Yamada K, Neradilek MB, Cantón G, Xue Y, Fleg JL, Desvigne-Nickens P, Klimas MT, Padley RJ, Vassileva MT, Wyman BT, Yuan C.

Int J Cardiovasc Imaging. 2015 Jan;31(1):95-103. doi: 10.1007/s10554-014-0532-7. Epub 2014 Sep 13.

45.

HDL-3 is a superior predictor of carotid artery disease in a case-control cohort of 1725 participants.

Kim DS, Burt AA, Rosenthal EA, Ranchalis JE, Eintracht JF, Hatsukami TS, Furlong CE, Marcovina S, Albers JJ, Jarvik GP.

J Am Heart Assoc. 2014 Jun 25;3(3):e000902. doi: 10.1161/JAHA.114.000902.

46.

Prediction of high-risk plaque development and plaque progression with the carotid atherosclerosis score.

Xu D, Hippe DS, Underhill HR, Oikawa-Wakayama M, Dong L, Yamada K, Yuan C, Hatsukami TS.

JACC Cardiovasc Imaging. 2014 Apr;7(4):366-73. doi: 10.1016/j.jcmg.2013.09.022. Epub 2014 Mar 13.

47.

Image-based modeling for better understanding and assessment of atherosclerotic plaque progression and vulnerability: data, modeling, validation, uncertainty and predictions.

Tang D, Kamm RD, Yang C, Zheng J, Canton G, Bach R, Huang X, Hatsukami TS, Zhu J, Ma G, Maehara A, Mintz GS, Yuan C.

J Biomech. 2014 Mar 3;47(4):834-46. doi: 10.1016/j.jbiomech.2014.01.012. Epub 2014 Jan 14. Review.

48.

Correlations between carotid plaque progression and mechanical stresses change sign over time: a patient follow up study using MRI and 3D FSI models.

Tang D, Yang C, Canton G, Wu Z, Hatsukami T, Yuan C.

Biomed Eng Online. 2013 Oct 14;12:105. doi: 10.1186/1475-925X-12-105. Erratum in: Biomed Eng Online. 2013;12:126.

49.

A framework for the co-registration of hemodynamic forces and atherosclerotic plaque components.

Canton G, Chiu B, Chen H, Chen Y, Hatsukami TS, Kerwin WS, Yuan C.

Physiol Meas. 2013 Sep;34(9):977-90. doi: 10.1088/0967-3334/34/9/977. Epub 2013 Aug 14.

50.

Favorable discharge disposition and survival after successful endovascular repair of ruptured abdominal aortic aneurysm.

Wallace GA, Starnes BW, Hatsukami TS, Quiroga E, Tang GL, Kohler TR, Tran NT.

J Vasc Surg. 2013 Jun;57(6):1495-502. doi: 10.1016/j.jvs.2012.11.089.

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