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The International Journal of Cardiovascular Imaging

Erschienen in:

13.03.2019 | Editorial

Cardiovascular imaging 2018 in the International Journal of Cardiovascular Imaging

verfasst von: Johan H. C. Reiber, Gabriel Tensol R. Pereira, Hiram G. Bezerra, Johan De Sutter, Paul Schoenhagen, Arthur E. Stillman, Nico R. L. Van de Veire

Erschienen in: The International Journal of Cardiovascular Imaging | Ausgabe 7/2019

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Excerpt

Please, find below an overview of the most relevant papers in the International Journal of Cardiovascular Imaging over the year 2018 for the different modalities. …

Detter C, Russ D, Kersten JF et al (2018) Qualitative angiographic and quantitative myocardial perfusion assessment using fluorescent cardiac imaging during graded coronary artery bypass stenosis. Int J Cardiovasc Imaging 34:159. https://doi.org/10.1007/s10554-017-1212-1 CrossRefPubMed

Hayıroğlu M, Keskin M, Uzun AO et al (2018) Predictive value of SYNTAX score II for clinical outcomes in cardiogenic shock underwent primary percutaneous coronary intervention; a pilot study. Int J Cardiovasc Imaging 34:329. https://doi.org/10.1007/s10554-017-1241-9 CrossRefPubMed

Strisciuglio T, Di Gioia G, Chatzikyriakou S et al (2018) Left atrial volume computed by 3D rotational angiography best predicts atrial fibrillation recurrence after circumferential pulmonary vein isolation. Int J Cardiovasc Imaging 34:337. https://doi.org/10.1007/s10554-017-1243-7 CrossRefPubMed

Kunio M, O’Brien CC, Lopes AC et al (2018) Vessel centerline reconstruction from non-isocentric and non-orthogonal paired monoplane angiographic images. Int J Cardiovasc Imaging 34:673. https://doi.org/10.1007/s10554-017-1275-z CrossRefPubMed

Karabağ Y, Çağdaş M, Rencuzogullari I et al (2018) Comparison of SYNTAX score II efficacy with SYNTAX score and TIMI risk score for predicting in-hospital and long-term mortality in patients with ST segment elevation myocardial infarction.. Int J Cardiovasc Imaging 34:1165. https://doi.org/10.1007/s10554-018-1333-1 CrossRefPubMed

Hayıroğlu M, Çınar T, Bıçakçı B et al (2018) Predictors of femoral hematoma in patients undergoing elective coronary procedure: a trigonometric evaluation. Int J Cardiovasc Imaging 34:1177. https://doi.org/10.1007/s10554-018-1339-8 CrossRefPubMed

Maccagni D, Benincasa S, Bellini B et al (2018) Noise reduction technology reduces radiation dose in chronic total occlusions percutaneous coronary intervention: a propensity score-matched analysis. Int J Cardiovasc Imaging 34:1185. https://doi.org/10.1007/s10554-018-1343-z CrossRefPubMed

Tian Y, Yuan Y, Lu H et al (2018) Analysis of anomalous origin of coronary arteries by coronary angiography in Chinese patients with coronary artery disease. Int J Cardiovasc Imaging 34:1331. https://doi.org/10.1007/s10554-018-1350-0 CrossRefPubMed

Her AY, Shin ES, Lee JM et al (2018) Paclitaxel-coated balloon treatment for functionally nonsignificant residual coronary lesions after balloon angioplasty. Int J Cardiovasc Imaging 34:1339. https://doi.org/10.1007/s10554-018-1351-z CrossRefPubMed

10.

Hideo-Kajita A, Garcia-Garcia HM, Kuku KO et al (2018) Clinical outcomes of complete revascularization using either angiography-guided or fractional flow reserve-guided drug-eluting stent implantation in non-culprit vessels in ST elevation myocardial infarction patients: insights from a study based on a systematic review and meta-analysis. Int J Cardiovasc Imaging 34:1349. https://doi.org/10.1007/s10554-018-1362-9 CrossRefPubMed

11.

Sonaglioni A, Baravelli M, Vincenti A et al (2018) A new modified anthropometric haller index obtained without radiological exposure. Int J Cardiovasc Imaging 34:1505. https://doi.org/10.1007/s10554-018-1366-5 CrossRefPubMed

12.

Kuku KO et al (2018) Optical coherence tomography-guided percutaneous coronary intervention compared with other imaging guidance: a meta-analysis. Int J Cardiovasc Imaging 34(4):503–513CrossRef

13.

Lv X et al (2018) Healing score of the Xinsorb scaffold in the treatment of de novo lesions: 6-month imaging outcomes. Int J Cardiovasc Imaging 34(7):1009–1016CrossRef

14.

Gil RJ et al (2018) Comparative assessment of three drug eluting stents with different platforms but with the same biodegradable polymer and the drug based on quantitative coronary angiography and optical coherence tomography at 12-month follow-up. Int J Cardiovasc Imaging 34(3):353–365CrossRef

15.

Kobayashi N et al (2018) Very early neointimal coverage of new biodegradable polymer drug-eluting stent compared with durable polymer everolimus-eluting stent evaluated by optical frequency domain imaging. Int J Cardiovasc Imaging 34(4):515–522CrossRef

16.

Kobayashi N et al (2018) Differences between first-generation and second-generation drug-eluting stent regarding in-stent neoatherosclerosis characteristics: an optical coherence tomography analysis. Int J Cardiovasc Imaging 34(10):1521–1528CrossRef

17.

Nato M et al (2018) One-year optical coherence tomography findings in patients with late and very-late stent thrombosis treated with intravascular imaging guided percutaneous coronary intervention. Int J Cardiovasc Imaging 34(10):1511–1520CrossRef

18.

Gupta PK et al (2018) Honeycomb-like appearance on optical coherence tomography in right coronary artery. Int J Cardiovasc Imaging 34(3):343–344CrossRef

19.

Kaichi R, Kataoka Y, Yasuda S (2018) Erupted coronary atheroma: insights from multi-modality imaging. Int J Cardiovasc Imaging 34(10):1669–1671CrossRef

20.

Lee Y, Park HC, Shin J (2018) Clinical efficacy of aspirin with identification of intimal morphology by optical coherence tomography in preventing event recurrence in patients with vasospasm-induced acute coronary syndrome. Int J Cardiovasc Imaging 34(11):1697–1706CrossRef

21.

Pyxaras SA et al (2018) In-stent fractional flow reserve variations and related optical coherence tomography findings: the FFR-OCT co-registration study. Int J Cardiovasc Imaging 34(4):495–502CrossRef

22.

Gutierrez-Chico JL (2018) Superficial wall stress: the long awaited comprehensive biomechanical parameter to objectify and quantify our intuition. Int J Cardiovasc Imaging 34(6):863–865CrossRef

23.

Kuku KO et al (2018) Intravascular ultrasound assessment of the effect of laser energy on the arterial wall during the treatment of femoro-popliteal lesions: a CliRpath excimer laser system to enlarge lumen openings (CELLO) registry study. Int J Cardiovasc Imaging 34(3):345–352CrossRef

24.

Oba Y et al (2018) A drug-coated balloon effectively treated in-stent restenosis due to a stent fracture. Int J Cardiovasc Imaging 34(2):169–170CrossRef

25.

Kim SS et al (2018) Intravascular ultrasound assessment of the effects of rotational atherectomy in calcified coronary artery lesions. Int J Cardiovasc Imaging 34(9):1365–1371CrossRef

26.

Kobayashi N et al (2018) Optical frequency-domain imaging findings to predict good stent expansion after rotational atherectomy for severely calcified coronary lesions. Int J Cardiovasc Imaging 34(6):867–874CrossRef

27.

Shrestha R et al (2018) A review in enormity of OCT and its enduring understanding of vulnerable plaque in coronary bifurcation lesion. Int J Cardiovasc Imaging 34(11):1679–1684CrossRef

28.

Chen L et al (2018) Intravascular ultrasound-guided drug-eluting stent implantation is associated with improved clinical outcomes in patients with unstable angina and complex coronary artery true bifurcation lesions. Int J Cardiovasc Imaging 34(11):1685–1696CrossRef

29.

Shariff B, Motwani M, Arsanjani R et al (2018) Impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging. Int J Cardiovasc Imag 34:661–669CrossRef

30.

Iguchi N, Utanohara Y, Suzuki Y et al (2018) Myocardial flow reserve derived by dynamic perfusion single-photon emission computed tomography reflects the severity of coronary atherosclerosis. Int J Cardiovasc Imag 34(9):1493–1501CrossRef

31.

Braad PE, Pedersen KT, Petersen H et al (2018) 15-O-water myocardial flow reserve PET and CT angiography by full hybrid PET/CT as a potential alternative to invasive angiography. Int J Cardiovasc Imag 34:2011–2022CrossRef

32.

Oudkerk M, Bluemke D, de Boer M et al (2018) Imaging the myocardial ischemic cascade. Int J Cardiovasc Imag 34:1249–1263CrossRef

33.

Namdar M, Rager O, Priamo J et al (2018) Prognostic value of revascularising viable myocardiu in elder patients with stable coronary artery disease and left ventricular dysfunction: a PET/CT Study. Int J Cardiovasc Imaging 34(10):1673–1678CrossRef

34.

Wang W, Li X, Tian C et al (2018) Cardiac death in patients with left ventricular aneurysm, remodeling and myocardial viability by gated TC-MIBI SPECT and gated FDG-PET. Int J Cardiovasc Imaging 34:485–493CrossRef

35.

Schneider M, Pistritto AM, Gerges C et al (2018) Multi-view approach for the diagnosis of pulmonary hypertension using transthoracic echocardiography. Int J Cardiovasc Imaging 34:695PubMed

36.

Filipiak-Strzecka D, Kasprzak JD, Lipiec P (2018) Brief cardiovascular imaging with pocket-size ultrasound devices improves the accuracy of the initial assessment of suspected pulmonary embolism. Int J Cardiovasc Imaging 34:1595CrossRef

37.

Olsen FJ, Svendsen JH, Køber L et al (2018) Impact of transducer frequency setting on speckle tracking measures. Int J Cardiovasc Imaging 34:457CrossRef

38.

Park JH, Choi JO, Park SW et al (2018) Normal references of right ventricular strain values by two-dimensional strain echocardiography according to the age and gender. Int J Cardiovasc Imaging 34:177CrossRef

39.

Wright LM, Dwyer N, Wahi S et al (2018) Association with right atrial strain with right atrial pressure: an invasive validation study. Int J Cardiovasc Imaging 34:1541CrossRef

40.

Papadopoulos CE, Pagourelias E, Bakogiannis C et al (2018) Left atrial deformation as a potent predictor for paroxysmal atrial fibrillation in patients with end-stage renal disease. Int J Cardiovasc Imaging 34:1393CrossRef

41.

Tadic M, Baudisch A, Haßfeld S et al (2018) Right ventricular function and mechanics in chemotherapy- and radiotherapy-naïve cancer patients. Int J Cardiovasc Imaging 34:1581CrossRef

42.

Aggeli C, Verveniotis A, Andrikopoulou E et al (2018) Echocardiographic features of PFOs and paradoxical embolism: a complicated puzzle. Int J Cardiovasc Imaging 34:1849CrossRef

43.

Piechnik SK, Jerosch-Herold M (2018) Myocardial T1 mapping and extracellular volume quantification: an overview of technical and biological confounders. Int J Cardiovasc Imaging 34:3–14. https://doi.org/10.1007/s10554-017-1235-7 CrossRefPubMed

44.

Lin K, Suwa K, Ma H et al (2018) Variability of native T1 values: implication for defining regional myocardial changes using MRI. Int J Cardiovasc Imaging 34:1637–1645. https://doi.org/10.1007/s10554-018-1371-8 CrossRefPubMed

45.

Huang H-H, Huang C-Y, Chen C-N et al (2018) Automatic regional analysis of myocardial native T1 values: left ventricle segmentation and AHA parcellations. Int J Cardiovasc Imaging 34:131–140. https://doi.org/10.1007/s10554-017-1216-x CrossRefPubMed

46.

Lagan J, Schmitt M, Miller CA (2018) Clinical applications of multi-parametric CMR in myocarditis and systemic inflammatory diseases. Int J Cardiovasc Imaging 34:35–54. https://doi.org/10.1007/s10554-017-1063-9 CrossRefPubMed

47.

Coelho-Filho OR, Shah R, Lavagnoli CFR et al (2018) Myocardial tissue remodeling after orthotopic heart transplantation: a pilot cardiac magnetic resonance study. Int J Cardiovasc Imaging 34:15–24. https://doi.org/10.1007/s10554-016-0937-6 CrossRefPubMed

48.

Yuan Y, Cai J, Cui Y et al (2018) CMR-derived extracellular volume fraction (ECV) in asymptomatic heart transplant recipients: correlations with clinical features and myocardial edema. Int J Cardiovasc Imaging 34:1959–1967. https://doi.org/10.1007/s10554-018-1421-2 CrossRefPubMed

49.

Nam BD, Kim SM, Jung HN et al (2018) Comparison of quantitative imaging parameters using cardiovascular magnetic resonance between cardiac amyloidosis and hypertrophic cardiomyopathy: inversion time scout versus T1 mapping. Int J Cardiovasc Imaging 34:1769–1777. https://doi.org/10.1007/s10554-018-1385-2 CrossRefPubMed

50.

Kuijpers D, van Dijk R, van Assen M et al (2018) Disagreement between splenic switch-off and myocardial T1-mapping after caffeine intake. Int J Cardiovasc Imaging 34:625–632. https://doi.org/10.1007/s10554-017-1274-0 CrossRefPubMed

51.

Gassenmaier S, van der Geest RJ, Schoepf UJ et al (2018) Quantitative inversion time prescription for myocardial late gadolinium enhancement using T1-mapping-based synthetic inversion recovery imaging: reducing subjectivity in the estimation of inversion time. Int J Cardiovasc Imaging 34:921–929. https://doi.org/10.1007/s10554-017-1294-9 CrossRefPubMed

52.

Jellis CL, Yingchoncharoen T, Gai N et al (2018) Correlation between right ventricular T1 mapping and right ventricular dysfunction in non-ischemic cardiomyopathy. Int J Cardiovasc Imaging 34:55–65. https://doi.org/10.1007/s10554-017-1113-3 CrossRefPubMed

53.

Podlesnikar T, Delgado V, Bax JJ (2018) Cardiovascular magnetic resonance imaging to assess myocardial fibrosis in valvular heart disease. Int J Cardiovasc Imaging 34:97–112. https://doi.org/10.1007/s10554-017-1195-y CrossRefPubMed

54.

Avitzur N, Satriano A, Afzal M et al (2018) 3D myocardial deformation analysis from cine MRI as a marker of amyloid protein burden in cardiac amyloidosis: validation versus T1 mapping. Int J Cardiovasc Imaging 34:1937–1946. https://doi.org/10.1007/s10554-018-1410-5 CrossRefPubMed

55.

Bhatti S, Vallurupalli S, Ambach S et al (2018) Myocardial strain pattern in patients with cardiac amyloidosis secondary to multiple myeloma: a cardiac MRI feature tracking study. Int J Cardiovasc Imaging 34:27–33. https://doi.org/10.1007/s10554-016-0998-6 CrossRefPubMed

56.

van Everdingen WM, Zweerink A, Nijveldt R et al (2018) Comparison of strain imaging techniques in CRT candidates: CMR tagging, CMR feature tracking and speckle tracking echocardiography. Int J Cardiovasc Imaging 34:443–456. https://doi.org/10.1007/s10554-017-1253-5 CrossRefPubMed

57.

Narang A, Blair JE, Patel MB et al (2018) Myocardial perfusion reserve and global longitudinal strain as potential markers of coronary allograft vasculopathy in late-stage orthotopic heart transplantation. Int J Cardiovasc Imaging 34:1607–1617. https://doi.org/10.1007/s10554-018-1364-7 CrossRefPubMedPubMedCentral

58.

Liu B, Dardeer AM, Moody WE et al (2018) Reference ranges for three-dimensional feature tracking cardiac magnetic resonance: comparison with two-dimensional methodology and relevance of age and gender. Int J Cardiovasc Imaging 34:761–775. https://doi.org/10.1007/s10554-017-1277-x CrossRefPubMed

59.

Hwang J-W, Cha MJ, Kim SM et al (2018) Relationship between cardiovascular risk factors and myocardial strain values of both ventricles in asymptomatic Asian subjects: measurement using cardiovascular magnetic resonance tissue tracking. Int J Cardiovasc Imaging 34:1949–1957. https://doi.org/10.1007/s10554-018-1414-1 CrossRefPubMed

60.

Suinesiaputra A, Sanghvi MM, Aung N et al (2018) Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results. Int J Cardiovasc Imaging 34:281–291. https://doi.org/10.1007/s10554-017-1225-9 CrossRefPubMed

61.

Göransson C, Vejlstrup N, Carlsen J (2018) Reproducibility of peak filling and peak emptying rate determined by cardiovascular magnetic resonance imaging for assessment of biventricular systolic and diastolic dysfunction in patients with pulmonary arterial hypertension. Int J Cardiovasc Imaging 34:777–786. https://doi.org/10.1007/s10554-017-1281-1 CrossRefPubMed

62.

Roberts PA, Lin ACW, Cowan BR et al (2018) Comparison of effects of losartan and metoprolol on left ventricular and aortic function at rest and during exercise in chronic aortic regurgitation. Int J Cardiovasc Imaging 34:615–624. https://doi.org/10.1007/s10554-017-1268-y CrossRefPubMed

63.

Shang Y, Zhang X, Leng W et al (2018) Left atrium passive ejection fraction is the most sensitive index of type 2 diabetes mellitus-related cardiac changes. Int J Cardiovasc Imaging 34:141–151. https://doi.org/10.1007/s10554-017-1213-0 CrossRefPubMed

64.

Stillman AE, Oudkerk M, Bluemke DA et al (2018) Imaging the myocardial ischemic cascade. Int J Cardiovasc Imaging 34:1249–1263. https://doi.org/10.1007/s10554-018-1330-4 CrossRefPubMed

65.

Baritussio A, Scatteia A, Bucciarelli-Ducci C (2018) Role of cardiovascular magnetic resonance in acute and chronic ischemic heart disease. Int J Cardiovasc Imaging 34:67–80. https://doi.org/10.1007/s10554-017-1116-0 CrossRefPubMed

66.

Sharif B, Motwani M, Arsanjani R et al (2018) Impact of incomplete ventricular coverage on diagnostic performance of myocardial perfusion imaging. Int J Cardiovasc Imaging 34:661–669. https://doi.org/10.1007/s10554-017-1265-1 CrossRefPubMed

67.

Spiczak von J, Manka R, Gotschy A et al (2018) Fusion of CT coronary angiography and whole-heart dynamic 3D cardiac MR perfusion: building a framework for comprehensive cardiac imaging. Int J Cardiovasc Imaging 34:649–660. https://doi.org/10.1007/s10554-017-1260-6 CrossRef

68.

Nordin S, Dancy L, Moon JC, Sado DM (2018) Clinical applications of multiparametric CMR in left ventricular hypertrophy. Int J Cardiovasc Imaging 34:577–585. https://doi.org/10.1007/s10554-018-1320-6 CrossRefPubMed

69.

Maragiannis D, Alvarez PA, Ghosn MG et al (2018) Left ventricular function in patients with hypertrophic cardiomyopathy and its relation to myocardial fibrosis and exercise tolerance. Int J Cardiovasc Imaging 34:121–129. https://doi.org/10.1007/s10554-017-1214-z CrossRefPubMed

70.

Gommans DHF, Cramer GE, Bakker J et al (2018) High T2-weighted signal intensity for risk prediction of sudden cardiac death in hypertrophic cardiomyopathy. Int J Cardiovasc Imaging 34:113–120. https://doi.org/10.1007/s10554-017-1252-6 CrossRefPubMed

71.

Cheng S, Choe YH, Ota H et al (2018) CMR assessment and clinical outcomes of hypertrophic cardiomyopathy with or without ventricular remodeling in the end-stage phase. Int J Cardiovasc Imaging 34:597–605. https://doi.org/10.1007/s10554-017-1263-3 CrossRefPubMed

72.

Kamper L, Dreger NM, Brandt AS et al (2018) Diffusion-weighted MRI and PET-CT in the follow up of chronic periaortitis. Int J Cardiovasc Imaging 34:1779–1785. https://doi.org/10.1007/s10554-018-1395-0 CrossRefPubMed

73.

Zhu C, Haraldsson H, Kallianos K et al (2018) Gated thoracic magnetic resonance angiography at 3T: noncontrast versus blood pool contrast. Int J Cardiovasc Imaging 34:475–483. https://doi.org/10.1007/s10554-017-1242-8 CrossRefPubMed

74.

Kamphuis VP, Westenberg JJM, van der Palen RLF et al (2018) Scan-rescan reproducibility of diastolic left ventricular kinetic energy, viscous energy loss and vorticity assessment using 4D flow MRI: analysis in healthy subjects. Int J Cardiovasc Imaging 34:905–920. https://doi.org/10.1007/s10554-017-1291-z CrossRefPubMed

75.

Mukai K, Burris NS, Mahadevan VS et al (2018) 4D flow image quality with blood pool contrast: a comparison of gadofosveset trisodium and ferumoxytol. Int J Cardiovasc Imaging 34:273–279. https://doi.org/10.1007/s10554-017-1224-x CrossRefPubMed

76.

Wehrum T, Günther F, Kams M et al (2018) Quantification of aortic stiffness in stroke patients using 4D flow MRI in comparison with transesophageal echocardiography. Int J Cardiovasc Imaging 34:1629–1636. https://doi.org/10.1007/s10554-018-1369-2 CrossRefPubMed

77.

Bech-Hanssen O, Svensson F, Polte CL et al (2018) Characterization of complex flow patterns in the ascending aorta in patients with aortic regurgitation using conventional phase-contrast velocity MRI. Int J Cardiovasc Imaging 34:419–429. https://doi.org/10.1007/s10554-017-1239-3 CrossRefPubMed

78.

Schäfer M, Morgan GJ, Mitchell MB et al (2018) Impact of different coarctation therapies on aortic stiffness: phase-contrast MRI study. Int J Cardiovasc Imaging 34:1459–1469. https://doi.org/10.1007/s10554-018-1357-6 CrossRefPubMed

79.

Yamasaki Y, Kawanami S, Kamitani T et al (2018) Noninvasive quantification of left-to-right shunt by phase contrast magnetic resonance imaging in secundum atrial septal defect: the effects of breath holding and comparison with invasive oximetry. Int J Cardiovasc Imaging 34:931–937. https://doi.org/10.1007/s10554-018-1297-1 CrossRefPubMed

80.

Shehu N, Meierhofer C, Messroghli D et al (2018) Diffuse fibrosis is common in the left, but not in the right ventricle in patients with transposition of the great arteries late after atrial switch operation. Int J Cardiovasc Imaging 34:1241–1248. https://doi.org/10.1007/s10554-018-1338-9 CrossRefPubMed

81.

Positano V, Meloni A, Macaione F et al (2018) Non-compact myocardium assessment by cardiac magnetic resonance: dependence on image analysis method. Int J Cardiovasc Imaging 34:1227–1238. https://doi.org/10.1007/s10554-018-1331-3 CrossRefPubMed

82.

Schmidt EJ, Halperin HR (2018) MRI use for atrial tissue characterization in arrhythmias and for EP procedure guidance. Int J Cardiovasc Imaging 34:81–95. https://doi.org/10.1007/s10554-017-1179-y CrossRefPubMed

83.

Zghaib T, Shahid A, Pozzessere C et al (2018) Validation of contrast-enhanced time-resolved magnetic resonance angiography in pre-ablation planning in patients with atrial fibrillation: comparison with traditional technique. Int J Cardiovasc Imaging 34:1451–1458. https://doi.org/10.1007/s10554-018-1355-8 CrossRefPubMed

84.

Behm P, Gastl M, Jahn A et al (2018) CMR-guidance of passively tracked endomyocardial biopsy in an in vivo porcine model. Int J Cardiovasc Imaging 34:1917–1926. https://doi.org/10.1007/s10554-018-1402-5 CrossRefPubMed

85.

Ghekiere O, Bielen J, Leipsic J, Dewilde W, Mancini I, Hansen D, Dendale P, Nchimi A (2018) Correlation of FFR-derived from CT and stress perfusion CMR with invasive FFR in intermediate-grade coronary artery stenosis. Int J Cardiovasc Imaging. https://doi.org/10.1007/s10554-018-1464-4 CrossRefPubMed

86.

van Assen M, Pelgrim GJ, Slager E, van Tuijl S, Schoepf UJ, Vliegenthart R, Oudkerk M (2018) Low CT temporal sampling rates result in a substantial underestimation of myocardial blood flow measurements. Int J Cardiovasc Imaging. https://doi.org/10.1007/s10554-018-1451-9 CrossRefPubMedPubMedCentral

87.

Nozue T, Takamura T, Fukui K, Hibi K, Kishi S, Michishita I (2018) Assessment of factors associated with measurability of fractional flow reserve derived from coronary computed tomography angiography in type 2 diabetic patients with intermediate coronary artery stenosis. Int J Cardiovasc Imaging. https://doi.org/10.1007/s10554-018-1476-0 CrossRefPubMed

88.

van der Werf NR, Willemink MJ, Willems TP, Vliegenthart R, Greuter MJW, Leiner T (2018) Influence of heart rate on coronary calcium scores: a multi-manufacturer phantom study. Int J Cardiovasc Imaging 34(6):959–966. https://doi.org/10.1007/s10554-017-1293-x CrossRefPubMed

89.

van der Werf NR, Willemink MJ, Willems TP, Greuter MJW, Leiner T (2018) Influence of iterative reconstruction on coronary calcium scores at multiple heart rates: a multivendor phantom study on state-of-the-art CT systems. Int J Cardiovasc Imaging 34(6):947–957. https://doi.org/10.1007/s10554-017-1292-y CrossRefPubMed

90.

Lindner S, Behnes M, Wenke A, Sartorius B, Ansari U, Akin M, Mashayekhi K, Vogler N, Haubenreisser H, Schoenberg SO, Borggrefe M, Akin I (2018) Assessment of peri-device leaks after interventional left atrial appendage closure using standardized imaging by cardiac computed tomography angiography. Int J Cardiovasc Imaging. https://doi.org/10.1007/s10554-018-1493-z CrossRefPubMed

91.

Obasare E, Mainigi SK, Morris DL, Slipczuk L, Goykhman I, Friend E, Ziccardi MR, Pressman GS (2018) CT based 3D printing is superior to transesophageal echocardiography for pre-procedure planning in left atrial appendage device closure. Int J Cardiovasc Imaging 34(5):821–831. https://doi.org/10.1007/s10554-017-1289-6 CrossRefPubMed

92.

Sims JR, Anavekar NS, Chandrasekaran K, Steckelberg JM, Wilson WR, Gersh BJ, Baddour LM, DeSimone DC (2018) Utility of cardiac computed tomography scanning in the diagnosis and pre-operative evaluation of patients with infective endocarditis. Int J Cardiovasc Imaging 34(7):1155–1163. https://doi.org/10.1007/s10554-018-1318-0 CrossRefPubMed

93.

Goo HW (2018) Coronary artery anomalies on preoperative cardiac CT in children with tetralogy of Fallot or Fallot type of double outlet right ventricle: comparison with surgical findings. Int J Cardiovasc Imaging 34(12):1997–2009. https://doi.org/10.1007/s10554-018-1422-1 CrossRefPubMed

94.

Xiang Y, Cheng G, Jin K, Zhang X, Yang Y (2018) Computed tomography findings and preoperative risk factors for mortality of total anomalous pulmonary venous connection. Int J Cardiovasc Imaging. https://doi.org/10.1007/s10554-018-1405-2 CrossRefPubMedPubMedCentral

95.

Gao X, Boccalini S, Kitslaar PH, Budde RPJ, Tu S, Lelieveldt BPF, Dijkstra J, Reiber JHC (2018) A novel software tool for semi-automatic quantification of thoracic aorta dilatation on baseline and follow-up computed tomography angiography. Int J Cardiovasc Imaging. https://doi.org/10.1007/s10554-018-1488-9 CrossRefPubMedPubMedCentral

96.

Pourmorteza A, Keller N, Chen R, Lardo A, Halperin H, Chen MY, McVeigh E (2018) Precision of regional wall motion estimates from ultra-low-dose cardiac CT using SQUEEZ. Int J Cardiovasc Imaging 34(8):1277–1286. https://doi.org/10.1007/s10554-018-1332-2 CrossRefPubMedPubMedCentral

97.

Abd Alamir M, Noack P, Jang KH, Moore JA, Goldberg R, Poon M (2018) Computer-aided analysis of 64- and 320-slice coronary computed tomography angiography: a comparison with expert human interpretation. Int J Cardiovasc Imaging 34(9):1473–1483. https://doi.org/10.1007/s10554-018-1361-x CrossRefPubMed

Titel: Cardiovascular imaging 2018 in the International Journal of Cardiovascular Imaging
verfasst von: Johan H. C. Reiber
Gabriel Tensol R. Pereira
Hiram G. Bezerra
Johan De Sutter
Paul Schoenhagen
Arthur E. Stillman
Nico R. L. Van de Veire
Publikationsdatum: 13.03.2019
Verlag: Springer Netherlands
Erschienen in: The International Journal of Cardiovascular Imaging / Ausgabe 7/2019
Print ISSN: 1569-5794
Elektronische ISSN: 1875-8312
DOI: https://doi.org/10.1007/s10554-019-01579-9

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Neu im Fachgebiet Kardiologie

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

Therapiestart mit Blutdrucksenkern erhöht Frakturrisiko

Adipositas-Medikament auch gegen Schlafapnoe wirksam

Komplette Revaskularisation bei Infarkt: Neue Studie setzt ein Fragezeichen

Update Kardiologie