Use of dynamic contrast enhanced time intensity curve shape analysis in MRI: theory and practice

References

• Evelhoch JL. Key factors in the acquisition of contrast kinetic data for oncology. JMagn Reson Imaging. 1999;10(3):254–259.
   PubMed Web of Science ®Google Scholar
• Tofts PS, Brix G, Buckley DL, et al. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging. 1999;10(3):223–232.
   PubMed Web of Science ®Google Scholar
• Padhani AR, Leach MO. Antivascular cancer treatments: functional assessments by dynamic contrast-enhanced magnetic resonance imaging. Abdom Imaging. 2005;30(3):324–341.
   Google Scholar
• Leach MO, Brindle KM, Evelhoch JL, et al; Pharmacodynamic/Pharmacokinetic Technologies Advisory Committee, Drug Development Office, Cancer Research UK. The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations. Br J Cancer. 2005;92(9):1599–1610.
   PubMed Web of Science ®Google Scholar
• Henderson E, Rutt BK, Lee TY. Temporal sampling requirements for the tracer kinetics modeling of breast disease. Magn Reson Imaging. 1998;16(9):1057–1073.
   Web of Science ®Google Scholar
• Kaiser WA, Zeitler E. MR imaging of the breast: fast imaging sequences with and without Gd-DTPA. Preliminary observations. Radiology. 1989;170:681–686.
   PubMed Web of Science ®Google Scholar
• Hauth EA, Stockamp C, Maderwald S, et al. Evaluation of the three- time-point method for diagnosis of breast lesions in contrast-enhanced MR mammography. Clin Imaging. 2006;30(3):160–165.
   Web of Science ®Google Scholar
• Kubassova O, Boesen M, Boyle RD, et al. Fast and robust analysis of dynamic contrast enhanced MRI datasets. Med Image Comput Comput Assist Interv. 2007;10(2):261–269.
   Google Scholar
• van Rijswijk CS, Hogendoorn PC, Taminiau AH, Bloem JL. Synovial sarcoma: dynamic contrast-enhanced MR imaging features. Skeletal Radiol. 2001;30(l):25–30.
   Google Scholar
• Van der Woude HJ, Verstraete KL, Hogendoorn PC, Taminiau AH, Hermans J, Bloem JL. Musculoskeletal tumors: does fast dynamic contrast-enhanced subtraction MR imaging contribute to the characterization? Radiology. 1998;208(3):821–828.
   PubMed Web of Science ®Google Scholar
• Verstraete KL, Lang P. Bone and soft tissue tumors: the role of contrast agents for MR imaging. Eur J Radiol. 2000;34(3):229–246.
   Web of Science ®Google Scholar
• Lavini C, de Jonge MC, van de Sande MG, Tak PP, Nederveen AJ, Maas M. Pixel-by-pixel analysis of DCE MRI curve patterns and an illustration of its application to the imaging of the musculoskeletal system. Magn Reson Imaging. 2007;25:604–612.
   Web of Science ®Google Scholar
• Yuan J, Chow SK, Yeung DK, King AD. A five-colour colour-coded mapping method for DCE-MRI analysis of head and neck tumors. Clin Radiol. 2012;67(3):216–223.
   Web of Science ®Google Scholar
• Degani H, Gusis V, Weinstein D, Fields S, Strano S. Mapping pathophysiological features of breast tumors by MRI at high spatial resolution. Nat Med. 1997;3(7):780–782.
   Web of Science ®Google Scholar
• Massurakis S, Gibbs P, Horsman A. Primary breast abnormalities: selective pixel sampling on dynamic gadolinium-enhanced MR images. Radiology. 1998;206:465–473.
   Web of Science ®Google Scholar
• Rieber A, Brambs HJ, Gabelmann A, Helmann V, Kreienberg R, Kuhn T. Breast MRI for monitoring response of primary breast cancer to neoadjuvant chemotherapy. Eur Radiol. 2002;12:1711–1719.
   PubMed Web of Science ®Google Scholar
• Preim U, Glafier S, Preim B, Fischbach F, Ricke J. Computer-aided diagnosis in breast DCE-MRI - quantification of the heterogeneity of breast lesions. Eur J Radiol. 2012;81(7):1532–1538.
   Web of Science ®Google Scholar
• Turnbull LW. Dynamic contrast-enhanced MRI in the diagnosis and management of breast cancer. NMR Biomed. 2009;22(1):28–39.
   Web of Science ®Google Scholar
• Hawighorst H, Libicher M, Knopp MV, Moehler T, Kauffmann GW, Kaick GV. Evaluation of angiogenesis and perfusion of bone marrow lesions: role of semiquantitative and quantitative dynamic MRI. J Magn Reson Imaging. 1999;10(3):286–294.
   PubMed Web of Science ®Google Scholar
• van Rijswijk CS, Geirnaerdt MJ, Hogendoorn PC, et al. Soft-tissue tumors: value of static and dynamic gadopentetate dimeglumine- enhanced MR imaging in prediction of malignancy. Radiology. 2004;233:493–502.
   Web of Science ®Google Scholar
• Tokuda O, Hayashi N, Taguchi K, Matsunaga N. Dynamic contrast- enhanced perfusion MR imaging of diseased vertebrae: analysis of three parameters and the distribution of the time-intensity curve patterns. Skeletal Radiol. 2005;34(10):632–638.
   Web of Science ®Google Scholar
• Kawakami Y, Kunisada T, Sugihara S, et al. New approach for assessing vascular distribution within bone tumors using dynamic contrast- enhanced MRI. J Cancer Res Clin Oncol. 2007;133(10):697–703.
   Web of Science ®Google Scholar
• Lavini C, Pickaart BC, de Jonge MC, Schaap GR, Maas M. Region of interest and pixel-by-pixel analysis dynamic contrast enhanced magnetic resonance imaging parameters and time-intensity curve shapes: a comparison in chondroid tumors. Magn Reson Imaging. 2009;27:62–68.
   Web of Science ®Google Scholar
• Sasaki M, Sumi M, Eida S, et al. Multiparametric MR imaging of sinonasal diseases: time-signal intensity curve- and apparent diffusion coefficient-based differentiation between benign and malignant lesions. Am J Neuroradiol. 2011;32(11):2154–2159.
   Web of Science ®Google Scholar
• Lavini C, Verhoeff JJ, Majoie CB, Stalpers LJ, Richel DJ, Maas M. Model-based, semiquantitative and time intensity curve shape analysis of dynamic contrast-enhanced MRI: a comparison in patients undergoing antiangiogenic treatment for recurrent glioma. J Magn Reson Imaging. 2011;34(6):1303–1312.
   Web of Science ®Google Scholar
• Eida S, Ohki M, Sumi M, Yamada T, Nakamura T. MR factor analysis: improved technology for the assessment of 2D dynamic structures of benign and malignant salivary gland tumors. J Magn Reson Imaging. 2008;27(6):1256–1262.
   Web of Science ®Google Scholar
• Yabuuchi H, Matsuo Y, Kamitani T, et al. Parotid gland tumor: can addition of diffusion-weighted MR-imaging to dynamic contrast-enhanced MR imaging improve diagnostic accuracy in characterization? Radiology. 2008;249(3):909–916.
   Web of Science ®Google Scholar
• Schaefer JF, Schneider V, Vollmar J, et al. Solitary pulmonary nodules: association between signal characteristics in dynamic contrast enhanced MRI and tumor angiogenesis. Lung Cancer. 2006;53(l):39–49.
   Google Scholar
• Donmez FY, Yekeler E, Saeidi V, Tunaci A, Tunaci M, Acunas G. Dynamic contrast enhancement patterns of solitary pulmonary nodules on 3D gradient-recalled echo MRI. AJR Am J Roentgenol. 2007;189(6):1380–1386.
   PubMed Web of Science ®Google Scholar
• Kono R, Fujimoto K, Terasaki H, et al. Dynamic MRI of solitary pulmonary nodules: comparison of enhancement patterns of malignant and benign small peripheral lung lesions. AJR Am J Roentgenol. 2007;188(1):26–36.
   Web of Science ®Google Scholar
• Yamashita Y, Fan ZM, Yamamoto H, et al. Spin-echo and dynamic gadolinium-enhanced FLASH MR imaging of hepatocellular carcinoma: correlation with histopathologic findings. JMagn Reson Imaging. 1994;4(1):83–90.
   Web of Science ®Google Scholar
• Wang J, Chen LT, Tsang YM, Liu TW, Shih TT. Dynamic contrast- enhanced MRI analysis of perfusion changes in advanced hepatocellular carcinoma treated with an antiangiogenic agent: a preliminary study. AJR Am J Roentgenol. 2004;183(3):713–719.
   Web of Science ®Google Scholar
• Tuncbilek N, Karakas HM, Altaner S. Dynamic MRI in indirect estimation of microvessel density, histologic grade, and prognosis in colorectal adenocarcinomas. Abdom Imaging. 2004;29(2):166–172.
   Google Scholar
• Noworolski SM, Henry RG, Vigneron DB, Kurhanewicz J. Dynamic contrast-enhanced MRI in normal and abnormal prostate tissues as defined by biopsy, MRI, and 3D MRSI. Magn Reson Med. 2005;53(2):249–255.
   PubMed Web of Science ®Google Scholar
• Kubassova O, Boyle R, Radjenovic A. Quantitative analysis of dynamic contrast enhanced MRI datasets of the metacarpophalangeal joints. Acad Radiol. 2007;14:1189–1200.
   Web of Science ®Google Scholar
• van der Leij C, van de Sande MG, Lavini C, Tak PP, Maas M. Rheumatoid synovial inflammation: pixel-by-pixel dynamic contrast- enhanced MR imaging time-intensity curve shape analysis - a feasibility study. Radiology. 2009;253(1):234–240.
   Web of Science ®Google Scholar
• van de Sande MG, van der Leij C, Lavini C, Wijbrandts CA, Maas M, Tak PP. Characteristics of synovial inflammation in early arthritis analysed by pixel-by-pixel time-intensity curve shape analysis. Rheumatology. 2012;51(7):1240–1245.
   Web of Science ®Google Scholar
• Kim EY, Kwack KS, Cho JH, Lee DH, Yoon SH. Usefulness of dynamic contrast-enhanced MRI in differentiating between septic arthritis and transient synovitis in the hip joint. AJR Am J Roentgenol. 2012;198(2):428–433.
   Web of Science ®Google Scholar
• Giusti S, Faggioni L, Neri E, et al. Dynamic MRI of the small bowel: usefulness of quantitative contrast-enhancement parameters and timesignal intensity curves for differentiating between active and inactive Crohn’s disease. Abdom Imaging. 2010;35(6):646–653.
   PubMedGoogle Scholar
• Ziech ML, Lavini C, Caan MW, et al. Dynamic contrast-enhanced MRI in patients with luminal Crohn’s disease. Eur J Radiol. 2012;81(11):3019–3027.
   PubMed Web of Science ®Google Scholar
• Ziech ML, Lavini C, Bipat S, et al. Dynamic contrast-enhanced MRI in determining disease activity in perianal fistulizing Crohn’s disease: a pilot study. AJR Am J Roentgenol. 2013;200(2):170–177.
   Web of Science ®Google Scholar
• Horsthuis K, Lavini C, Bipat S, Stokkers PC, Stoker J. Perianal Crohn’s disease: evaluation of dynamic contrast-enhanced MR imaging as an indicator of disease activity. Radiology. 2009;251(2):380–387.
   PubMed Web of Science ®Google Scholar
• Eyal E, Degani H. Model based and model free parametric analysis of breast dynamic contrast enhanced MRI. NMR Biomed. 2009;22:40–53.
   PubMed Web of Science ®Google Scholar
• Kajihara M, Sugawara Y, Sakayama K, Kikuchi K, Mochizuki T, Murase K. Evaluation of tumor blood flow in musculoskeletal lesions: dynamic contrast-enhanced MR imaging and its possibility when monitoring the response to preoperative chemotherapy-work in progress. Radiat Med. 2007;25(3):94–105.
   Google Scholar
• El Khouli RH, Macura KJ, Kamel IR, Jacobs MA, Bluemke DA. 3-T dynamic contrast-enhanced MRI of the breast: pharmacokinetic parameters versus conventional kinetic curve analysis. AJR Am J Roentgenol. 2011;197(6):1498–1505.
   Web of Science ®Google Scholar
• Lavini C, Maas M. DCE-MRI analysis package comprising pixel-by- pixel classification of Time Intensity Curves shapes, permeability maps and Gd concentration calculation. Abstract from the ESMRMB 2008 Congress, October 2–4, 2008; Valencia, Spain. Magn Reson Materials Physics Biol Med. 2008:21Suppl1, S1:486.
   Google Scholar
• Kubassova O, Boesenb M, Cimmino M, Bliddal H. A computer-aided detection system for rheumatoid arthritis MRI data interpretation and quantification of synovial activity. Eur J Radiol. 2010;74(3):e67-e72.
   Web of Science ®Google Scholar
• Eyal E, Bloch BN, Rofsky NM, et al. Principal component analysis of dynamic contrast enhanced MRI in human prostate cancer. Invest Radiol. 2010;45:174–181.
   Web of Science ®Google Scholar
• Andersen C, Taagehoj JF, Muhler A, Rehling M. Approximation of arterial input curve data in MRI estimation of cerebral blood-tumor-barrier leakage: comparison between Gd-DTPA and 99 mTc-DTPA input curves. Magn Reson Imaging. 1996;14(3):235–241.
   Web of Science ®Google Scholar
• Parker GJ, Roberts C, Macdonald A, et al. Experimentally-derived functional form for a population- averaged high-temporal-resolution arterial input function for dynamic contrast-enhanced MRI. Magn Reson Med. 2006;56(5):993–1000.
   Web of Science ®Google Scholar
• Dale BM, Jesberger JA, Lewin JS, Hillenbrand CM, Duerk JL. Determining and optimizing the precision of quantitative measurements of perfusion from dynamic contrast enhanced MRI. J Magn Reson Imaging. 2003;18(5):575–584.
   PubMed Web of Science ®Google Scholar
• Guo J-Y, Reddick WE. DCE-MRI Pixel by Pixel quantitative Curve Pattern Analysis and its application to osteosarcoma. J Magn Res Imaging. 2009;30:177–184.
   Web of Science ®Google Scholar
• Kale MC, Clymer BD, Koch RM, et al. Multispectral co-occurrence with three random variables in dynamic contrast enhanced magnetic resonance imaging of breast cancer. IEEE Trans Med Imaging. 2008;27(10):1425–1431.
   Web of Science ®Google Scholar
• Lucht RE, Delorme S, Hei J, et al. Classification of signal-time curves obtained by dynamic magnetic resonance mammography: statistical comparison of quantitative methods. Invest Radiol. 2005;40(7):442–447.
   Web of Science ®Google Scholar
• Nattkemper TW, Arnrich B, Lichte O, et al; UK MARIBS Breast Screening Study. Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods. Artif Intell Med. 2005;34(2):129–139.
   Web of Science ®Google Scholar
• Levman J, Leung T, Causer P, Plewes D, Martel AL. Classification of dynamic contrast-enhanced magnetic resonance breast lesions by support vector machines. IEEE Trans Med Imaging. 2008;27(5):688–696.
   Web of Science ®Google Scholar
• Agner SC, Soman S, Libfeld E, et al. Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification. J Digit Imaging. 2011;24(3):446–463.
   PubMed Web of Science ®Google Scholar