Assessment of tumor blood flow in breast tumors with T1-dynamic contrast-enhanced MR imaging: Impact of dose reduction and the use of a prebolus technique on diagnostic efficacy

Journal of Magnetic Resonance Imaging

Volumn 31, Issue 3, 2010, Pages 556-561

  Makkat, Smitha ^a   Luypaert, Robert ^a   Sourbron, Steven ^b   Stadnik, Tadeusz ^a   De Mey, Johan ^a  

^a UNIVERSITY HOSPITAL BRUSSELS   (Belgium)

^b LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

Author keywords

Blood flow; Breast tumors; Deconvolution; Prebolus; T1 DCE

Indexed keywords

GADOLINIUM PENTETATE MEGLUMINE;

ADULT; AGED; AORTA; ARTERY; ARTICLE; BOLUS INJECTION; BREAST TUMOR; CLINICAL ARTICLE; CLINICAL TRIAL; CONTRAST ENHANCEMENT; DRUG DOSE REDUCTION; DRUG MEGADOSE; FEASIBILITY STUDY; FEMALE; HISTOLOGY; HUMAN; INFORMED CONSENT; LOW DRUG DOSE; MAMMOGRAPHY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; TIME; TUMOR BLOOD FLOW;

ADULT; AGED; AGED, 80 AND OVER; BLOOD FLOW VELOCITY; BREAST NEOPLASMS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEOVASCULARIZATION, PATHOLOGIC; RADIATION DOSAGE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77649195693     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.22077     Document Type: Article

References (20)

1. Brix G, Kiessling F, Lucht R, et al. Microcirculation and micro-vasculature in breast tumors: pharmacokinetic analysis of dynamic MR image series. Magn Reson Med 2004;52:420-429.
2. Makkat S, Sourbron S, Dujardin M, Van Schuerbeek P, Luypaert R, Stadnik T. Deconvolution-based contrast enhanced MR imaging of breast tumors for perfusion quantification: a feasibility study. In: Proc 13th Annual Meeting ISMRM, Miami; 2005. Abstract 743.
3. Makkat S, Luypaert R, Sourbron S, Stadnik T, De Mey J. Quantification of perfusion and permeability in breast tumors with a deconvolution-based analysis of second-bolus T1-DCE data. J Magn Reson Imaging 2007;25:1159-1167.
4. Makkat S, Luypaert R, Stadnik T, et al. Deconvolution-based dynamic contrast-enhanced MR imaging of breast tumors: correlation of tumor blood flow with human epidermal growth factor receptor 2 status and clinicopathologic findings - preliminary results. Radiology 2008;249:471-482.
5. Canet E, Douek P, Janier M, et al. Influence of bolus volume and dose of gadolinium chelate for first-pass myocardial perfusion MR imaging studies. Magn Reson Imaging 1995;5:411-415.
6. Peeters F, Annet L, Hermoye L, Van Beers BE. Inflow correction of hepatic perfusion measurements using T1-weighted, fast gradient echo contrast-enhanced MRI. Magn Reson Med 2004;51: 710-717.
7. Ivancevic MK, Zimine I, Montet X, et al. Inflow effect correction in fast gradient-echo perfusion imaging. Magn Reson Med 2003;50: 885-891.
8. Kostler H, Ritter C, Lipp M, Beer M, Hahn D, Sandstede J. Prebolus quantitative MR heart perfusion imaging. Magn Reson Med 2004;52:296-299.
9. Risse F, Semmler W, Kauczor HU, Fink C. Dual-bolus approach to quantitative measurement of pulmonary perfusion by contrast-enhanced MRI. J Magn Reson Imaging 2006;24:1284-1290.
10. Christian TF, Rettmann DW, Aletras AH, at al. Absolute myocardial perfusion in canines measured by using dual-bolus firstpass MR imaging. Radiology 2004;232:677-684.
11. Makkat S, Luypaert R, Sourbron S, et al. Optimization of acquisition and post processing strategies for deconvolution-based perfusion quantification of breast tumors using T1-weighted DCE MRI. In: Proc 16th Annual Meeting ISMRM, Toronto; 2008. Abstract 3815.
12. Sourbron S, Dujardin M, Makkat S, Luypaert R. Pixel-by-pixel deconvolution of bolus-tracking data: optimization and implementation. Phys Med Biol 2007;52:429-447.
13. Jerosch-Herold M, Hu X, Murthy NS, Rickers C, Stillman AE. Magnetic resonance imaging of myocardial contrast enhancement with MS-325 and its relation to myocardial blood flow and the perfusion reserve. J Magn Reson Imaging 2003;18:544-554.
14. Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 1983;148:839-843.
15. Pollitt MJ, Hanby AM, Horgan K, Murphy CE, Jones PF, Speirs V. Angiogenesis in breast cancer: how should we measure this? (Review). Oncol Rep 2005;13:931-936.
16. Vaupel P, Hockel M. Blood supply, oxygenation status and metabolic micromilieu of breast cancers: characterization and therapeutic relevance. Int J Oncol 2000;17:869-879.
17. Zasadny KR, Tatsumi M, Wahl RL. FDG metabolism and uptake versus blood flow in women with untreated primary breast cancers. Eur J Nucl Med Mol Imaging 2003;30:274-280.
18. Mankoff DA, Dunnwald LK, Gralow JR, et al. Blood flow and metabolism in locally advanced breast cancer: relationship to response to therapy. J Nucl Med 2002;43:500-509.
19. Jerosch-Herold M, Hu X, Murthy NS, Seethamraju RT. Time delay for arrival of MR contrast agent in collateral-dependent myocardium. IEEE Trans Med Imaging 2004;23:881-890.
20. Calamante F, Gadian DG, Connelly A. Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition. Magn Reson Med 2000;44: 466-473.