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For: Pelgrim GJ, Handayani A, Dijkstra H, Prakken NH, Slart RH, Oudkerk M, Van Ooijen PM, Vliegenthart R, Sijens PE. Quantitative Myocardial Perfusion with Dynamic Contrast-Enhanced Imaging in MRI and CT: Theoretical Models and Current Implementation. Biomed Res Int 2016;2016:1734190. [PMID: 27088083 DOI: 10.1155/2016/1734190] [Cited by in Crossref: 15] [Cited by in F6Publishing: 16] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Kamphuis ME, Kuipers H, Liefers HR, van Es J, Simonis FFJ, Greuter MJW, Slump CH, Slart RHJA. A Multimodality Myocardial Perfusion Phantom: Initial Quantitative Imaging Results. Bioengineering (Basel) 2022;9:436. [PMID: 36134982 DOI: 10.3390/bioengineering9090436] [Reference Citation Analysis]
2 Michallek F, Nakamura S, Ota H, Ogawa R, Shizuka T, Nakashima H, Wang YN, Ito T, Sakuma H, Dewey M, Kitagawa K. Fractal analysis of 4D dynamic myocardial stress-CT perfusion imaging differentiates micro- and macrovascular ischemia in a multi-center proof-of-concept study. Sci Rep 2022;12:5085. [PMID: 35332236 DOI: 10.1038/s41598-022-09144-6] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
3 Albano D, Bruno F, Agostini A, Angileri SA, Benenati M, Bicchierai G, Cellina M, Chianca V, Cozzi D, Danti G, De Muzio F, Di Meglio L, Gentili F, Giacobbe G, Grazzini G, Grazzini I, Guerriero P, Messina C, Micci G, Palumbo P, Rocco MP, Grassi R, Miele V, Barile A; Young SIRM Working Group. Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging. Jpn J Radiol 2021. [PMID: 34951000 DOI: 10.1007/s11604-021-01223-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Patel AR, Bamberg F, Branch K, Carrascosa P, Chen M, Cury RC, Ghoshhajra B, Ko B, Nieman K, Pugliese F, Schoepf J, Blankstein R. Society of cardiovascular computed tomography expert consensus document on myocardial computed tomography perfusion imaging. Journal of Cardiovascular Computed Tomography 2020;14:87-100. [DOI: 10.1016/j.jcct.2019.10.003] [Cited by in Crossref: 31] [Cited by in F6Publishing: 31] [Article Influence: 15.5] [Reference Citation Analysis]
5 Kim J, Moestue SA, Bathen TF, Kim E. R2* Relaxation Affects Pharmacokinetic Analysis of Dynamic Contrast-Enhanced MRI in Cancer and Underestimates Treatment Response at 7 T. Tomography 2019;5:308-19. [PMID: 31572792 DOI: 10.18383/j.tom.2019.00015] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
6 Kwiatkowski G, Kozerke S. Extended quantitative dynamic contrast-enhanced cardiac perfusion imaging in mice using accelerated data acquisition and spatially distributed, two-compartment exchange modeling. NMR in Biomedicine 2019;32:e4123. [DOI: 10.1002/nbm.4123] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
7 Conlin CC, Layec G, Hanrahan CJ, Hu N, Mueller MT, Lee VS, Zhang JL. Exercise-stimulated arterial transit time in calf muscles measured by dynamic contrast-enhanced magnetic resonance imaging. Physiol Rep 2019;7:e13978. [PMID: 30648355 DOI: 10.14814/phy2.13978] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
8 Ichikawa Y, Ishida M, Sakuma H. Quantitative Myocardial Perfusion MR Imaging. Annals of Nuclear Cardiology 2019;5:84-88. [DOI: 10.17996/anc.19-00096] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
9 van Assen M, Pelgrim GJ, Vliegenthart R. Dynamic Myocardial CT Perfusion Imaging. Contemporary Medical Imaging 2019. [DOI: 10.1007/978-1-60327-237-7_63] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
10 van Assen M, Pelgrim GJ, De Cecco CN, Stijnen JMA, Zaki BM, Oudkerk M, Vliegenthart R, Schoepf UJ. Intermodel disagreement of myocardial blood flow estimation from dynamic CT perfusion imaging. European Journal of Radiology 2019;110:175-80. [DOI: 10.1016/j.ejrad.2018.11.029] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 4.0] [Reference Citation Analysis]
11 van Assen M, Pelgrim GJ, Slager E, van Tuijl S, Schoepf UJ, Vliegenthart R, Oudkerk M. Low CT temporal sampling rates result in a substantial underestimation of myocardial blood flow measurements. Int J Cardiovasc Imaging 2019;35:539-47. [PMID: 30284642 DOI: 10.1007/s10554-018-1451-9] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
12 Richter H, Kircher PR, Joerger FB, Bruellmann E, Dennler M. Assessment of Myocardial Perfusion at Rest and During Stress Using Dynamic First-Pass Contrast-Enhanced Magnetic Resonance Imaging in Healthy Dogs. Front Vet Sci 2018;5:211. [PMID: 30234137 DOI: 10.3389/fvets.2018.00211] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
13 Prasetya H, Beijk MAM, Konduri PR, Epema T, Hirsch A, van der Harst P, van Bavel E, de Mol BAJM, Marquering HA. Limitations of Quantitative Blush Evaluator (QuBE) as myocardial perfusion assessment method on digital coronary angiograms. J Clin Transl Res 2018;3:394-400. [PMID: 30873487] [Reference Citation Analysis]
14 Wang S, Lu Z, Fan X, Medved M, Jiang X, Sammet S, Yousuf A, Pineda F, Oto A, Karczmar GS. Comparison of arterial input functions measured from ultra-fast dynamic contrast enhanced MRI and dynamic contrast enhanced computed tomography in prostate cancer patients. Phys Med Biol 2018;63:03NT01. [PMID: 29300175 DOI: 10.1088/1361-6560/aaa51b] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
15 Treibel TA, Rossi A, Pugliese F, Davies LC. Functional assessment of coronary artery disease by cardiac computed tomography. Expert Review of Cardiovascular Therapy 2017;15:657-65. [DOI: 10.1080/14779072.2017.1359087] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 1.2] [Reference Citation Analysis]
16 Weingärtner S, Zimmer F, Metzger GJ, Uğurbil K, Van de Moortele PF, Akçakaya M. Motion-robust cardiac B1+ mapping at 3T using interleaved bloch-siegert shifts. Magn Reson Med 2017;78:670-7. [PMID: 27599782 DOI: 10.1002/mrm.26395] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.3] [Reference Citation Analysis]