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13 - Diffusion-weighted MRI: future directions

Published online by Cambridge University Press:  10 November 2010

Bachir Taouli
Affiliation:
Mount Sinai School of Medicine, New York
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Summary

Introduction

In the last few years, radiology has seen an unprecedented increase in the application of diffusion-weighted magnetic resonance imaging (DWI) for disease assessment in the body. This growing interest in body DWI is reflected by both wider clinical applications and focused research activities, and can be attributed to a greater awareness of the unique imaging information that the technique provides. In many imaging departments, DWI is now integrated into routine imaging protocols, in part to gain experience in applying the technique, but also for the diagnostic information that can be gained from an imaging technique which can be performed very quickly without detrimental effects or impact on the clinical throughput.

The current applications of DWI in the body are largely oncological, and are used in combination with conventional magnetic resonance imaging (MRI) sequences for disease detection and characterization and the assessment of treatment response. Non-oncological applications are also evolving, such as MR neurography, the evaluation of renal function, and the detection of liver fibrosis and cirrhosis. However, as with any new technique, initial enthusiasm often gives way to a more realistic outlook, as the radiological community begins to recognize both the advantages and pitfalls of DWI. Nothing can be more damaging to the widespread adoption and application of a new imaging technique than unsubstantiated claims or unrealistic hype about its potential utility.

What is consistent across centers with greater experience in applying DWI in the body, is the recognition that careful technical optimization is important to achieve the best results.

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Publisher: Cambridge University Press
Print publication year: 2010

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References

Koh, DM, Collins, DJ. Diffusion-weighted MRI in the body: applications and challenges in oncology. Am J Roentgenol 2007;188:1622–35.CrossRefGoogle Scholar
Patterson, DM, Padhani, AR, Collins, DJ. Technology insight: water diffusion MRI – a potential new biomarker of response to cancer therapy. Nat Clin Pract Oncol 2008;5:220–33.CrossRefGoogle ScholarPubMed
Takahara, T, Hendrikse, J, Yamashita, T, et al. Diffusion-weighted MR neurography of the brachial plexus: feasibility study. Radiology 2008;249:653–60.CrossRefGoogle ScholarPubMed
Thoeny, HC, Zumstein, D, Simon-Zoula, S, et al. Functional evaluation of transplanted kidneys with diffusion-weighted and BOLD MR imaging: initial experience. Radiology 2006;241:812–21.CrossRefGoogle ScholarPubMed
Annet, L, Peeters, F, Abarca-Quinones, J, et al. Assessment of diffusion-weighted MR imaging in liver fibrosis. J Magn Reson Imag 2007;25:122–8.CrossRefGoogle ScholarPubMed
Taouli, B, Tolia, AJ, Losada, M, et al. Diffusion-weighted MRI for quantification of liver fibrosis: preliminary experience. Am J Roentgenol 2007;189:799–806.CrossRefGoogle ScholarPubMed
Koh, DM, Takahara, T, Imai, Y, Collins, DJ. Practical aspects of assessing tumors using clinical diffusion-weighted imaging in the body. Magn Reson Med Sci 2008;6:211–24.CrossRefGoogle Scholar
Braithwaite, AC, Dale, BM, Boll, DT, Merkle, EM. Short- and midterm reproducibility of apparent diffusion coefficient measurements at 3.0-T diffusion-weighted imaging of the abdomen. Radiology 2009;250:459–65.CrossRefGoogle Scholar
Kwee, TC, Takahara, T, Luijten, PR, Nievelstein, RA. ADC measurements of lymph nodes: inter- and intra-observer reproducibility study and an overview of the literature. Eur J Radiol 2009;18:1937–52.CrossRefGoogle Scholar
Kwee, TC, Takahara, T, Koh, DM, Nievelstein, RA, Luijten, PR. Comparison and reproducibility of ADC measurements in breathhold, respiratory triggered, and free-breathing diffusion-weighted MR imaging of the liver. J Magn Reson Imag 2008; 28:1141–8.CrossRefGoogle ScholarPubMed
Padhani, AR, Liu, G, Mu-Koh, D, et al. Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia 2009;11:102–25.CrossRefGoogle ScholarPubMed
Bihan, D, Poupon, C, Amadon, A, Lethimonnier, F. Artifacts and pitfalls in diffusion MRI. J Magn Reson Imag 2006;24:478–88.CrossRefGoogle ScholarPubMed
Finsterbusch, J. Eddy-current compensated diffusion weighting with a single refocusing RF pulse. Magn Reson Med 2009;61:748–54.CrossRefGoogle ScholarPubMed
Reese, TG, Heid, O, Weisskoff, RM, Wedeen, VJ. Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo. Magn Reson Med 2003;49:177–82.CrossRefGoogle ScholarPubMed
Alexander, AL, Tsuruda, JS, Parker, DL. Elimination of eddy current artifacts in diffusion-weighted echo-planar images: the use of bipolar gradients. Magn Reson Med 1997;38:1016–21.CrossRefGoogle ScholarPubMed
Takahara, T, Imai, Y, Yamashita, T, et al. Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display. Radiat Med 2004;22:275–82.Google ScholarPubMed
Kazama, T, Nasu, K, Kuroki, Y, Nawano, S, Ito, H. Comparison of diffusion-weighted images using short inversion time inversion recovery or chemical shift selective pulse as fat suppression in patients with breast cancer. Jap J Radiol 2009;27:163–7.CrossRefGoogle ScholarPubMed
Zur, Y, Bosak, E, Kaplan, N. A new diffusion SSFP imaging technique. Magn Reson Med 1997;37:716–22.CrossRefGoogle ScholarPubMed
Abanoz, R, Hakyemez, B, Parlak, M. [Diffusion-weighted imaging of acute vertebral compression: differential diagnosis of benign versus malignant pathologic fractures.]Tani Girisim Radyol 2003;9:176–83.Google Scholar
Baur, A, Huber, A, Durr, HR, et al. [Differentiation of benign osteoporotic and neoplastic vertebral compression fractures with a diffusion-weighted, steady-state free precession sequence.]Rofo Fortschr Röntgenstr 2002;174:70–5.CrossRefGoogle Scholar
Baur, A, Huber, A, Ertl-Wagner, B, et al. Diagnostic value of increased diffusion weighting of a steady-state free precession sequence for differentiating acute benign osteoporotic fractures from pathologic vertebral compression fractures. Am J Neuroradiol 2001;22:366–72.Google ScholarPubMed
Carney, CE, Wong, ST, Patz, S. Analytical solution and verification of diffusion effect in SSFP. Magn Reson Med 1991;19:240–6.CrossRefGoogle ScholarPubMed
Miller, KL, Jezzard, P. Modeling SSFP functional MRI contrast in the brain. Magn Reson Med 2008;60:661–73.CrossRefGoogle Scholar
Petersson, JS, Christoffersson, JO. A multidimensional partition analysis of SSFP image pulse sequences. Magn Reson Imag 1997;15:451–67.CrossRefGoogle ScholarPubMed
Gurses, B, Kabakci, N, Kovanlikaya, A, et al. Diffusion tensor imaging of the normal prostate at 3 tesla. Eur Radiol 2008;18:716–21.CrossRefGoogle ScholarPubMed
Xu, J, Humphrey, PA, Kibel, AS, et al. Magnetic resonance diffusion characteristics of histologically defined prostate cancer in humans. Magn Reson Med 2009;61:842–50.CrossRefGoogle ScholarPubMed
Nagy, Z, Weiskopf, N. Efficient fat suppression by slice-selection gradient reversal in twice-refocused diffusion encoding. Magn Reson Med 2008;60:1256–60.CrossRefGoogle ScholarPubMed
Koh, DM, Blackledge, M, Collins, DJ, et al. Reproducibility and changes in the apparent diffusion coefficients of solid tumours treated with combretastatin A4 phosphate and bevacizumab in a two-centre phase I clinical trial. Eur Radiol 2009;19:2728–38.CrossRefGoogle Scholar
Sasaki, M, Yamada, K, Watanabe, Y, et al. Variability in absolute apparent diffusion coefficient values across different platforms may be substantial: a multivendor, multi-institutional comparison study. Radiology 2008;249:624–30.CrossRefGoogle ScholarPubMed
Delakis, I, Moore, EM, Leach, MO, Wilde, JP. Developing a quality control protocol for diffusion imaging on a clinical MRI system. Phys Med Biol 2004;49:1409–22.CrossRefGoogle ScholarPubMed
Latt, J, Nilsson, M, Rydhog, A, et al. Effects of restricted diffusion in a biological phantom: a q-space diffusion MRI study of asparagus stems at a 3T clinical scanner. MAGMA Magn Reson Mater Phys 2007;20:213–22.CrossRefGoogle Scholar
Yanasak, N, Allison, J. Use of capillaries in the construction of an MRI phantom for the assessment of diffusion tensor imaging: demonstration of performance. Magn Reson Imag 2006;24:1349–61.CrossRefGoogle Scholar
Mardor, Y, Pfeffer, R, Spiegelmann, R, et al. Early detection of response to radiation therapy in patients with brain malignancies using conventional and high b-value diffusion-weighted magnetic resonance imaging. J Clin Oncol 2003;21:1094–100.CrossRefGoogle ScholarPubMed
Bihan, D. Intravoxel incoherent motion perfusion MR imaging: a wake-up call. Radiology 2008;249:748–52.CrossRefGoogle ScholarPubMed
Bihan, D, Breton, E, Lallemand, D, et al. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 1988;168:497–505.CrossRefGoogle ScholarPubMed
Kwee, TC, Galban, CJ, Tsien, C, et al. Intravoxel water diffusion heterogeneity imaging of human high-grade gliomas. NMR Biomed 2009;23:179–87.Google Scholar
Moffat, BA, Chenevert, TL, Lawrence, TS, et al. Functional diffusion map: a noninvasive MRI biomarker for early stratification of clinical brain tumor response. Proc Natl Acad Sci USA 2005;102:5524–9.CrossRefGoogle ScholarPubMed
Moffat, BA, Chenevert, TL, Meyer, CR, et al. The functional diffusion map: an imaging biomarker for the early prediction of cancer treatment outcome. Neoplasia 2006;8:259–67.CrossRefGoogle ScholarPubMed
Ohno, Y, Koyama, H, Onishi, Y, et al. Non-small cell lung cancer: whole-body MR examination for M-stage assessment: utility for whole-body diffusion-weighted imaging compared with integrated FDG PET/CT. Radiology 2008;248:643–54.CrossRefGoogle ScholarPubMed
Lee, KC, Bradley, DA, Hussain, M, et al. A feasibility study evaluating the functional diffusion map as a predictive imaging biomarker for detection of treatment response in a patient with metastatic prostate cancer to the bone. Neoplasia 2007;9:1003–11.CrossRefGoogle Scholar
Hamstra, DA, Rehemtulla, A, Ross, BD. Diffusion magnetic resonance imaging: a biomarker for treatment response in oncology. J Clin Oncol 2007;25:4104–9.CrossRefGoogle Scholar
Chen, CY, Li, CW, Kuo, YT, et al. Early response of hepatocellular carcinoma to transcatheter arterial chemoembolization: choline levels and MR diffusion constants – initial experience. Radiology 2006; 239:448–56.CrossRefGoogle Scholar
Theilmann, RJ, Borders, R, Trouard, TP, et al. Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy. Neoplasia 2004;6:831–7.CrossRefGoogle Scholar
Mardor, Y, Roth, Y, Ochershvilli, A, et al. Pretreatment prediction of brain tumors' response to radiation therapy using high b-value diffusion-weighted MRI. Neoplasia 2004;6:136–42.CrossRefGoogle ScholarPubMed
Dzik-Jurasz, A, Domenig, C, George, M, et al. Diffusion MRI for prediction of response of rectal cancer to chemoradiation. Lancet 2002;360:307–8.CrossRefGoogle ScholarPubMed
Kim, S, Loevner, L, Quon, H, et al. Diffusion-weighted magnetic resonance imaging for predicting and detecting early response to chemoradiation therapy of squamous cell carcinomas of the head and neck. Clin Cancer Res 2009;15:986–94.CrossRefGoogle ScholarPubMed
Koh, DM, Scurr, E, Collins, DJ, et al. Predicting response of colorectal hepatic metastases: value of pre-treatment apparent diffusion coefficients. Am J Roentgenol 2007;188:1001–8.CrossRefGoogle Scholar
Cui, Y, Zhang, XP, Sun, YS, Tang, L, Shen, L. Apparent diffusion coefficient: potential imaging biomarker for prediction and early detection of response to chemotherapy in hepatic metastases. Radiology 2008; 248:894–900.CrossRefGoogle ScholarPubMed
Hamstra, DA, Galban, CJ, Meyer, CR, et al. Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival. J Clin Oncol 2008;26:3387–94.CrossRefGoogle ScholarPubMed
Hamstra, DA, Chenevert, TL, Moffat, BA, et al. Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma. Proc Natl Acad Sci USA 2005;102:16 759–64.CrossRefGoogle ScholarPubMed
Thoeny, HC, Keyzer, F, Vandecaveye, V, et al. Effect of vascular targeting agent in rat tumor model: dynamic contrast-enhanced versus diffusion-weighted MR imaging. Radiology 2005;237:492–9.CrossRefGoogle ScholarPubMed

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