Skip to main content
Top
Published in: European Radiology 3/2018

Open Access 01-03-2018 | Magnetic Resonance

Implementing diffusion-weighted MRI for body imaging in prospective multicentre trials: current considerations and future perspectives

Authors: N. M. deSouza, J. M. Winfield, J. C. Waterton, A. Weller, M.-V. Papoutsaki, S. J. Doran, D. J. Collins, L. Fournier, D. Sullivan, T. Chenevert, A. Jackson, M. Boss, S. Trattnig, Y. Liu

Published in: European Radiology | Issue 3/2018

Login to get access

Abstract

For body imaging, diffusion-weighted MRI may be used for tumour detection, staging, prognostic information, assessing response and follow-up. Disease detection and staging involve qualitative, subjective assessment of images, whereas for prognosis, progression or response, quantitative evaluation of the apparent diffusion coefficient (ADC) is required. Validation and qualification of ADC in multicentre trials involves examination of i) technical performance to determine biomarker bias and reproducibility and ii) biological performance to interrogate a specific aspect of biology or to forecast outcome. Unfortunately, the variety of acquisition and analysis methodologies employed at different centres make ADC values non-comparable between them. This invalidates implementation in multicentre trials and limits utility of ADC as a biomarker. This article reviews the factors contributing to ADC variability in terms of data acquisition and analysis. Hardware and software considerations are discussed when implementing standardised protocols across multi-vendor platforms together with methods for quality assurance and quality control. Processes of data collection, archiving, curation, analysis, central reading and handling incidental findings are considered in the conduct of multicentre trials. Data protection and good clinical practice are essential prerequisites. Developing international consensus of procedures is critical to successful validation if ADC is to become a useful biomarker in oncology.

Key Points

Standardised acquisition/analysis allows quantification of imaging biomarkers in multicentre trials.
Establishingprecisionof the measurement in the multicentre context is essential.
A repository with traceable data of known provenance promotes further research.
Literature
1.
go back to reference Weiss E, Ford JC, Olsen KM et al (2016) Apparent diffusion coefficient (ADC) change on repeated diffusion-weighted magnetic resonance imaging during radiochemotherapy for non- small cell lung cancer: A pilot study. Lung Cancer 96:113–119CrossRefPubMed Weiss E, Ford JC, Olsen KM et al (2016) Apparent diffusion coefficient (ADC) change on repeated diffusion-weighted magnetic resonance imaging during radiochemotherapy for non- small cell lung cancer: A pilot study. Lung Cancer 96:113–119CrossRefPubMed
2.
go back to reference Galban CJ, Ma B, Malyarenko D et al (2015) Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy. PLoS One 10, e0122151CrossRefPubMedPubMedCentral Galban CJ, Ma B, Malyarenko D et al (2015) Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy. PLoS One 10, e0122151CrossRefPubMedPubMedCentral
3.
go back to reference Yap TA, Yan L, Patnaik A et al (2014) Interrogating two schedules of the AKT inhibitor MK-2206 in patients with advanced solid tumors incorporating novel pharmacodynamic and functional imaging biomarkers. Clin Cancer Res 20:5672–5685CrossRefPubMedPubMedCentral Yap TA, Yan L, Patnaik A et al (2014) Interrogating two schedules of the AKT inhibitor MK-2206 in patients with advanced solid tumors incorporating novel pharmacodynamic and functional imaging biomarkers. Clin Cancer Res 20:5672–5685CrossRefPubMedPubMedCentral
4.
go back to reference Messiou C, Collins DJ, Morgan VA, Bianchini D, de Bono JS, deSouza NM (2014) Use of apparent diffusion coefficient as a response biomarker in bone: effect of developing sclerosis on quantified values. Skeletal Radiol 43:205–208CrossRefPubMed Messiou C, Collins DJ, Morgan VA, Bianchini D, de Bono JS, deSouza NM (2014) Use of apparent diffusion coefficient as a response biomarker in bone: effect of developing sclerosis on quantified values. Skeletal Radiol 43:205–208CrossRefPubMed
5.
go back to reference Rud E, Klotz D, Rennesund K et al (2014) Detection of the index tumour and tumour volume in prostate cancer using T2-weighted and diffusion-weighted magnetic resonance imaging (MRI) alone. BJU Int 114:E32–E42CrossRefPubMed Rud E, Klotz D, Rennesund K et al (2014) Detection of the index tumour and tumour volume in prostate cancer using T2-weighted and diffusion-weighted magnetic resonance imaging (MRI) alone. BJU Int 114:E32–E42CrossRefPubMed
6.
go back to reference Kyriazi S, Collins DJ, Messiou C et al (2011) Metastatic ovarian and primary peritoneal cancer: assessing chemotherapy response with diffusion-weighted MR imaging--value of histogram analysis of apparent diffusion coefficients. Radiology 261:182–192CrossRefPubMed Kyriazi S, Collins DJ, Messiou C et al (2011) Metastatic ovarian and primary peritoneal cancer: assessing chemotherapy response with diffusion-weighted MR imaging--value of histogram analysis of apparent diffusion coefficients. Radiology 261:182–192CrossRefPubMed
7.
go back to reference Xie P, Liu K, Peng W, Zhou Z (2015) The Correlation Between Diffusion-Weighted Imaging at 3.0-T Magnetic Resonance Imaging and Histopathology for Pancreatic Ductal Adenocarcinoma. J Comput Assist Tomogr 39:697–701CrossRefPubMed Xie P, Liu K, Peng W, Zhou Z (2015) The Correlation Between Diffusion-Weighted Imaging at 3.0-T Magnetic Resonance Imaging and Histopathology for Pancreatic Ductal Adenocarcinoma. J Comput Assist Tomogr 39:697–701CrossRefPubMed
8.
go back to reference Hoang JK, Choudhury KR, Chang J, Craciunescu OI, Yoo DS, Brizel DM (2014) Diffusion-weighted imaging for head and neck squamous cell carcinoma: quantifying repeatability to understand early treatment-induced change. AJR Am J Roentgenol 203:1104–1108CrossRefPubMed Hoang JK, Choudhury KR, Chang J, Craciunescu OI, Yoo DS, Brizel DM (2014) Diffusion-weighted imaging for head and neck squamous cell carcinoma: quantifying repeatability to understand early treatment-induced change. AJR Am J Roentgenol 203:1104–1108CrossRefPubMed
9.
go back to reference Workman P, Aboagye EO, Chung YL et al (2006) Minimally invasive pharmacokinetic and pharmacodynamic technologies in hypothesis-testing clinical trials of innovative therapies. J Natl Cancer Inst 98:580–598CrossRefPubMed Workman P, Aboagye EO, Chung YL et al (2006) Minimally invasive pharmacokinetic and pharmacodynamic technologies in hypothesis-testing clinical trials of innovative therapies. J Natl Cancer Inst 98:580–598CrossRefPubMed
10.
go back to reference Keenan KE, Peskin AP, Wilmes LJ et al (2016) Variability and bias assessment in breast ADC measurement across multiple systems. J Magn Reson Imaging 44:846–855CrossRefPubMedPubMedCentral Keenan KE, Peskin AP, Wilmes LJ et al (2016) Variability and bias assessment in breast ADC measurement across multiple systems. J Magn Reson Imaging 44:846–855CrossRefPubMedPubMedCentral
11.
go back to reference Donati OF, Chong D, Nanz D et al (2014) Diffusion-weighted MR imaging of upper abdominal organs: field strength and intervendor variability of apparent diffusion coefficients. Radiology 270:454–463CrossRefPubMed Donati OF, Chong D, Nanz D et al (2014) Diffusion-weighted MR imaging of upper abdominal organs: field strength and intervendor variability of apparent diffusion coefficients. Radiology 270:454–463CrossRefPubMed
12.
go back to reference Winfield JM, Collins DJ, Priest AN et al (2016) A framework for optimization of diffusion- weighted MRI protocols for large field-of-view abdominal-pelvic imaging in multicenter studies. Med Phys 43:95–110CrossRefPubMed Winfield JM, Collins DJ, Priest AN et al (2016) A framework for optimization of diffusion- weighted MRI protocols for large field-of-view abdominal-pelvic imaging in multicenter studies. Med Phys 43:95–110CrossRefPubMed
13.
go back to reference Kyriazi S, Blackledge M, Collins DJ, deSouza NM (2010) Optimising diffusion- weighted imaging in the abdomen and pelvis: comparison of image quality between monopolar and bipolar single-shot spin-echo echo-planar sequences. Eur Radiol 20:2422–2431CrossRefPubMed Kyriazi S, Blackledge M, Collins DJ, deSouza NM (2010) Optimising diffusion- weighted imaging in the abdomen and pelvis: comparison of image quality between monopolar and bipolar single-shot spin-echo echo-planar sequences. Eur Radiol 20:2422–2431CrossRefPubMed
14.
go back to reference Donato F Jr, Costa DN, Yuan Q, Rofsky NM, Lenkinski RE, Pedrosa I (2014) Geometric distortion in diffusion-weighted MR imaging of the prostate-contributing factors and strategies for improvement. Acad Radiol 21:817–823CrossRefPubMedPubMedCentral Donato F Jr, Costa DN, Yuan Q, Rofsky NM, Lenkinski RE, Pedrosa I (2014) Geometric distortion in diffusion-weighted MR imaging of the prostate-contributing factors and strategies for improvement. Acad Radiol 21:817–823CrossRefPubMedPubMedCentral
15.
go back to reference Alexander AL, Lee JE, Wu YC, Field AS (2006) Comparison of diffusion tensor imaging measurements at 3.0 T versus 1.5 T with and without parallel imaging. Neuroimaging Clin N Am 16:299–309, xi CrossRefPubMed Alexander AL, Lee JE, Wu YC, Field AS (2006) Comparison of diffusion tensor imaging measurements at 3.0 T versus 1.5 T with and without parallel imaging. Neuroimaging Clin N Am 16:299–309, xi CrossRefPubMed
16.
go back to reference Reese TG, Heid O, Weisskoff RM, Wedeen VJ (2003) Reduction of eddy-current- induced distortion in diffusion MRI using a twice-refocused spin echo. Magn Reson Med 49:177–182CrossRefPubMed Reese TG, Heid O, Weisskoff RM, Wedeen VJ (2003) Reduction of eddy-current- induced distortion in diffusion MRI using a twice-refocused spin echo. Magn Reson Med 49:177–182CrossRefPubMed
17.
go back to reference Rohde GK, Barnett AS, Basser PJ, Marenco S, Pierpaoli C (2004) Comprehensive approach for correction of motion and distortion in diffusion-weighted MRI. Magn Reson Med 51:103–114CrossRefPubMed Rohde GK, Barnett AS, Basser PJ, Marenco S, Pierpaoli C (2004) Comprehensive approach for correction of motion and distortion in diffusion-weighted MRI. Magn Reson Med 51:103–114CrossRefPubMed
18.
go back to reference Saritas EU, Lee JH, Nishimura DG (2011) SNR dependence of optimal parameters for apparent diffusion coefficient measurements. IEEE Trans Med Imaging 30:424–437CrossRefPubMed Saritas EU, Lee JH, Nishimura DG (2011) SNR dependence of optimal parameters for apparent diffusion coefficient measurements. IEEE Trans Med Imaging 30:424–437CrossRefPubMed
19.
go back to reference Koh DM, Collins DJ, Orton MR (2011) Intravoxel incoherent motion in body diffusion- weighted MRI: reality and challenges. AJR Am J Roentgenol 196:1351–1361CrossRefPubMed Koh DM, Collins DJ, Orton MR (2011) Intravoxel incoherent motion in body diffusion- weighted MRI: reality and challenges. AJR Am J Roentgenol 196:1351–1361CrossRefPubMed
20.
go back to reference Taouli B, Beer AJ, Chenevert T, et al. (2016) Diffusion-weighted imaging outside the brain: Consensus statement from an ISMRM-sponsored workshop. J Magn Reson Imaging Taouli B, Beer AJ, Chenevert T, et al. (2016) Diffusion-weighted imaging outside the brain: Consensus statement from an ISMRM-sponsored workshop. J Magn Reson Imaging
21.
go back to reference Xing D, Papadakis NG, Huang CL, Lee VM, Carpenter TA, Hall LD (1997) Optimised diffusion-weighting for measurement of apparent diffusion coefficient (ADC) in human brain. Magn Reson Imaging 15:771–784CrossRefPubMed Xing D, Papadakis NG, Huang CL, Lee VM, Carpenter TA, Hall LD (1997) Optimised diffusion-weighting for measurement of apparent diffusion coefficient (ADC) in human brain. Magn Reson Imaging 15:771–784CrossRefPubMed
22.
go back to reference Kwee TC, Takahara T, Koh DM, Nievelstein RA, Luijten PR (2008) Comparison and reproducibility of ADC measurements in breathhold, respiratory triggered, and free-breathing diffusion-weighted MR imaging of the liver. J Magn Reson Imaging 28:1141–1148CrossRefPubMed Kwee TC, Takahara T, Koh DM, Nievelstein RA, Luijten PR (2008) Comparison and reproducibility of ADC measurements in breathhold, respiratory triggered, and free-breathing diffusion-weighted MR imaging of the liver. J Magn Reson Imaging 28:1141–1148CrossRefPubMed
23.
go back to reference Jerome NP, Orton MR, d'Arcy JA, Collins DJ, Koh DM, Leach MO (2014) Comparison of free-breathing with navigator-controlled acquisition regimes in abdominal diffusion- weighted magnetic resonance images: Effect on ADC and IVIM statistics. J Magn Reson Imaging 39:235–240CrossRefPubMed Jerome NP, Orton MR, d'Arcy JA, Collins DJ, Koh DM, Leach MO (2014) Comparison of free-breathing with navigator-controlled acquisition regimes in abdominal diffusion- weighted magnetic resonance images: Effect on ADC and IVIM statistics. J Magn Reson Imaging 39:235–240CrossRefPubMed
24.
go back to reference Metens T, Absil J, Denolin V, Bali MA, Matos C (2016) Liver apparent diffusion coefficient repeatability with individually predetermined optimal cardiac timing and artifact elimination by signal filtering. J Magn Reson Imaging 43:1100–1110CrossRefPubMed Metens T, Absil J, Denolin V, Bali MA, Matos C (2016) Liver apparent diffusion coefficient repeatability with individually predetermined optimal cardiac timing and artifact elimination by signal filtering. J Magn Reson Imaging 43:1100–1110CrossRefPubMed
25.
go back to reference Fedorov A, Tuncali K, Panych LP et al (2016) Segmented diffusion-weighted imaging of the prostate: Application to transperineal in-bore 3T MR image-guided targeted biopsy. Magn Reson Imaging 34:1146–1154CrossRefPubMedPubMedCentral Fedorov A, Tuncali K, Panych LP et al (2016) Segmented diffusion-weighted imaging of the prostate: Application to transperineal in-bore 3T MR image-guided targeted biopsy. Magn Reson Imaging 34:1146–1154CrossRefPubMedPubMedCentral
26.
go back to reference Malyarenko DI, Newitt D, Wilmes LJ et al (2015) Demonstration of nonlinearity bias in the measurement of the apparent diffusion coefficient in multicenter trials. Magn Reson Med 75:1312–1323CrossRefPubMedPubMedCentral Malyarenko DI, Newitt D, Wilmes LJ et al (2015) Demonstration of nonlinearity bias in the measurement of the apparent diffusion coefficient in multicenter trials. Magn Reson Med 75:1312–1323CrossRefPubMedPubMedCentral
27.
go back to reference Koh DM, Blackledge M, Burns S et al (2012) Combination of chemical suppression techniques for dual suppression of fat and silicone at diffusion-weighted MR imaging in women with breast implants. Eur Radiol 22:2648–2653CrossRefPubMed Koh DM, Blackledge M, Burns S et al (2012) Combination of chemical suppression techniques for dual suppression of fat and silicone at diffusion-weighted MR imaging in women with breast implants. Eur Radiol 22:2648–2653CrossRefPubMed
28.
go back to reference Winfield JM, Douglas NH, deSouza NM, Collins DJ (2014) Phantom for assessment of fat suppression in large field-of-view diffusion-weighted magnetic resonance imaging. Phys Med Biol 59:2235–2248CrossRefPubMed Winfield JM, Douglas NH, deSouza NM, Collins DJ (2014) Phantom for assessment of fat suppression in large field-of-view diffusion-weighted magnetic resonance imaging. Phys Med Biol 59:2235–2248CrossRefPubMed
31.
go back to reference Newitt DC, Tan ET, Wilmes LJ et al (2015) Gradient nonlinearity correction to improve apparent diffusion coefficient accuracy and standardization in the american college of radiology imaging network 6698 breast cancer trial. J Magn Reson Imaging 42:908–919CrossRefPubMedPubMedCentral Newitt DC, Tan ET, Wilmes LJ et al (2015) Gradient nonlinearity correction to improve apparent diffusion coefficient accuracy and standardization in the american college of radiology imaging network 6698 breast cancer trial. J Magn Reson Imaging 42:908–919CrossRefPubMedPubMedCentral
32.
go back to reference Surov A, Nagata S, Razek AA, Tirumani SH, Wienke A, Kahn T (2015) Comparison of ADC values in different malignancies of the skeletal musculature: a multicentric analysis. Skeletal Radiol 44:995–1000CrossRefPubMed Surov A, Nagata S, Razek AA, Tirumani SH, Wienke A, Kahn T (2015) Comparison of ADC values in different malignancies of the skeletal musculature: a multicentric analysis. Skeletal Radiol 44:995–1000CrossRefPubMed
33.
go back to reference Kwee TC, Vermoolen MA, Akkerman EA et al (2014) Whole-body MRI, including diffusion-weighted imaging, for staging lymphoma: comparison with CT in a prospective multicenter study. J Magn Reson Imaging 40:26–36CrossRefPubMed Kwee TC, Vermoolen MA, Akkerman EA et al (2014) Whole-body MRI, including diffusion-weighted imaging, for staging lymphoma: comparison with CT in a prospective multicenter study. J Magn Reson Imaging 40:26–36CrossRefPubMed
34.
go back to reference Klerkx WM, Veldhuis WB, Spijkerboer AM et al (2012) The value of 3.0Tesla diffusion- weighted MRI for pelvic nodal staging in patients with early stage cervical cancer. Eur J Cancer 48:3414–3421CrossRefPubMed Klerkx WM, Veldhuis WB, Spijkerboer AM et al (2012) The value of 3.0Tesla diffusion- weighted MRI for pelvic nodal staging in patients with early stage cervical cancer. Eur J Cancer 48:3414–3421CrossRefPubMed
35.
go back to reference Koh DM, Blackledge M, Collins DJ et al (2009) 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 19:2728–2738CrossRefPubMed Koh DM, Blackledge M, Collins DJ et al (2009) 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 19:2728–2738CrossRefPubMed
36.
go back to reference Lee EM, Hong YS, Kim KP et al (2013) Phase II study of preoperative chemoradiation with S-1 plus oxaliplatin in patients with locally advanced rectal cancer. Cancer Sci 104:111–115CrossRefPubMed Lee EM, Hong YS, Kim KP et al (2013) Phase II study of preoperative chemoradiation with S-1 plus oxaliplatin in patients with locally advanced rectal cancer. Cancer Sci 104:111–115CrossRefPubMed
37.
go back to reference Lambregts DM, Vandecaveye V, Barbaro B et al (2011) Diffusion-weighted MRI for selection of complete responders after chemoradiation for locally advanced rectal cancer: a multicenter study. Ann Surg Oncol 18:2224–2231CrossRefPubMedPubMedCentral Lambregts DM, Vandecaveye V, Barbaro B et al (2011) Diffusion-weighted MRI for selection of complete responders after chemoradiation for locally advanced rectal cancer: a multicenter study. Ann Surg Oncol 18:2224–2231CrossRefPubMedPubMedCentral
38.
go back to reference Lambregts DM, Rao SX, Sassen S et al (2015) MRI and Diffusion-weighted MRI Volumetry for Identification of Complete Tumor Responders After Preoperative Chemoradiotherapy in Patients With Rectal Cancer: A Bi-institutional Validation Study. Ann Surg 262:1034–1039CrossRefPubMed Lambregts DM, Rao SX, Sassen S et al (2015) MRI and Diffusion-weighted MRI Volumetry for Identification of Complete Tumor Responders After Preoperative Chemoradiotherapy in Patients With Rectal Cancer: A Bi-institutional Validation Study. Ann Surg 262:1034–1039CrossRefPubMed
40.
go back to reference Padhani AR, Liu G, Koh DM et al (2009) Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia 11:102–125CrossRefPubMedPubMedCentral Padhani AR, Liu G, Koh DM et al (2009) Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia 11:102–125CrossRefPubMedPubMedCentral
41.
go back to reference Malyarenko D, Galban CJ, Londy FJ et al (2013) Multi-system repeatability and reproducibility of apparent diffusion coefficient measurement using an ice-water phantom. J Magn Reson Imaging 37:1238–1246CrossRefPubMed Malyarenko D, Galban CJ, Londy FJ et al (2013) Multi-system repeatability and reproducibility of apparent diffusion coefficient measurement using an ice-water phantom. J Magn Reson Imaging 37:1238–1246CrossRefPubMed
42.
go back to reference Douglas NH, Winfield JM, deSouza NM, Collins DJ, Orton MR (2013) Development of a phantom for quality assurance in multicenter clinical trials with diffusion-weighted MRI. Proc Int Soc Magnet Reson Med 3114 Douglas NH, Winfield JM, deSouza NM, Collins DJ, Orton MR (2013) Development of a phantom for quality assurance in multicenter clinical trials with diffusion-weighted MRI. Proc Int Soc Magnet Reson Med 3114
43.
go back to reference Boss MA, Chenevert TL, Waterton JC, Morris DM, Ragheb H, Jackson A (2014) Temperature-controlled Isotropic Diffusion Phantom with Wide Range of Apparent Diffusion Coefficients for Multicenter Assessment of Scanner Repeatability and Reproducibility. Proc 22nd Int Soc Magnet Reson Med 4505 Boss MA, Chenevert TL, Waterton JC, Morris DM, Ragheb H, Jackson A (2014) Temperature-controlled Isotropic Diffusion Phantom with Wide Range of Apparent Diffusion Coefficients for Multicenter Assessment of Scanner Repeatability and Reproducibility. Proc 22nd Int Soc Magnet Reson Med 4505
44.
go back to reference Jerome NP, Papoutsaki MV, Orton MR et al (2016) Development of a temperature- controlled phantom for magnetic resonance quality assurance of diffusion, dynamic, and relaxometry measurements. Med Phys 43:2998–3007CrossRefPubMed Jerome NP, Papoutsaki MV, Orton MR et al (2016) Development of a temperature- controlled phantom for magnetic resonance quality assurance of diffusion, dynamic, and relaxometry measurements. Med Phys 43:2998–3007CrossRefPubMed
45.
go back to reference Jezzard P, Barnett AS, Pierpaoli C (1998) Characterization of and correction for eddy current artifacts in echo planar diffusion imaging. Magn Reson Med 39:801–812CrossRefPubMed Jezzard P, Barnett AS, Pierpaoli C (1998) Characterization of and correction for eddy current artifacts in echo planar diffusion imaging. Magn Reson Med 39:801–812CrossRefPubMed
46.
go back to reference Holz M, Heil SR, Sacco A (2000) Temperature-dependent self-diffusion coefficients of water and six selected molecular liquids for calibration in accurate 1H NMR PFG measurements. Phys Chem Chem Phys 2:4740–4742CrossRef Holz M, Heil SR, Sacco A (2000) Temperature-dependent self-diffusion coefficients of water and six selected molecular liquids for calibration in accurate 1H NMR PFG measurements. Phys Chem Chem Phys 2:4740–4742CrossRef
47.
go back to reference Delakis I, Moore EM, Leach MO, De Wilde JP (2004) Developing a quality control protocol for diffusion imaging on a clinical MRI system. Phys Med Biol 49:1409–1422CrossRefPubMed Delakis I, Moore EM, Leach MO, De Wilde JP (2004) Developing a quality control protocol for diffusion imaging on a clinical MRI system. Phys Med Biol 49:1409–1422CrossRefPubMed
48.
go back to reference Miquel ME, Scott AD, Macdougall ND, Boubertakh R, Bharwani N, Rockall AG (2012) In vitro and in vivo repeatability of abdominal diffusion-weighted MRI. Br J Radiol 85:1507–1512CrossRefPubMedPubMedCentral Miquel ME, Scott AD, Macdougall ND, Boubertakh R, Bharwani N, Rockall AG (2012) In vitro and in vivo repeatability of abdominal diffusion-weighted MRI. Br J Radiol 85:1507–1512CrossRefPubMedPubMedCentral
49.
go back to reference Korteweg MA, Veldhuis WB, Visser F et al (2011) Feasibility of 7 Tesla breast magnetic resonance imaging determination of intrinsic sensitivity and high-resolution magnetic resonance imaging, diffusion-weighted imaging, and (1)H-magnetic resonance spectroscopy of breast cancer patients receiving neoadjuvant therapy. Invest Radiol 46:370–376CrossRefPubMed Korteweg MA, Veldhuis WB, Visser F et al (2011) Feasibility of 7 Tesla breast magnetic resonance imaging determination of intrinsic sensitivity and high-resolution magnetic resonance imaging, diffusion-weighted imaging, and (1)H-magnetic resonance spectroscopy of breast cancer patients receiving neoadjuvant therapy. Invest Radiol 46:370–376CrossRefPubMed
50.
go back to reference Taviani V, Alley MT, Banerjee S, et al. (2016) High-resolution diffusion-weighted imaging of the breast with multiband 2D radiofrequency pulses and a generalized parallel imaging reconstruction. Magn Reson Med Taviani V, Alley MT, Banerjee S, et al. (2016) High-resolution diffusion-weighted imaging of the breast with multiband 2D radiofrequency pulses and a generalized parallel imaging reconstruction. Magn Reson Med
51.
go back to reference Downey K, Jafar M, Attygalle AD et al (2013) Influencing surgical management in patients with carcinoma of the cervix using a T2- and ZOOM-diffusion-weighted endovaginal MRI technique. Br J Cancer 109:615–622CrossRefPubMedPubMedCentral Downey K, Jafar M, Attygalle AD et al (2013) Influencing surgical management in patients with carcinoma of the cervix using a T2- and ZOOM-diffusion-weighted endovaginal MRI technique. Br J Cancer 109:615–622CrossRefPubMedPubMedCentral
52.
go back to reference Zhu T, Liu X, Gaugh MD et al (2009) Evaluation of measurement uncertainties in human diffusion tensor imaging (DTI)-derived parameters and optimization of clinical DTI protocols with a wild bootstrap analysis. J Magn Reson Imaging 29:422–435CrossRefPubMed Zhu T, Liu X, Gaugh MD et al (2009) Evaluation of measurement uncertainties in human diffusion tensor imaging (DTI)-derived parameters and optimization of clinical DTI protocols with a wild bootstrap analysis. J Magn Reson Imaging 29:422–435CrossRefPubMed
54.
go back to reference Jambor I, Merisaari H, Taimen P et al (2015) Evaluation of different mathematical models for diffusion-weighted imaging of normal prostate and prostate cancer using high b-values: a repeatability study. Magn Reson Med 73:1988–1998CrossRefPubMed Jambor I, Merisaari H, Taimen P et al (2015) Evaluation of different mathematical models for diffusion-weighted imaging of normal prostate and prostate cancer using high b-values: a repeatability study. Magn Reson Med 73:1988–1998CrossRefPubMed
55.
go back to reference Winfield J, Orton M, Collins D, et al. (2016) Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI. Eur Radiol Winfield J, Orton M, Collins D, et al. (2016) Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI. Eur Radiol
56.
go back to reference Tokgoz O, Unal I, Turgut GG, Yildiz S (2014) The value of liver and spleen ADC measurements in the diagnosis and follow up of hepatic fibrosis in chronic liver disease. Acta Clin Belg 69:426–432CrossRefPubMed Tokgoz O, Unal I, Turgut GG, Yildiz S (2014) The value of liver and spleen ADC measurements in the diagnosis and follow up of hepatic fibrosis in chronic liver disease. Acta Clin Belg 69:426–432CrossRefPubMed
57.
go back to reference Daggulli M, Onur MR, Firdolas F, Onur R, Kocakoc E, Orhan I (2011) Role of diffusion MRI and apparent diffusion coefficient measurement in the diagnosis, staging and pathological classification of bladder tumors. Urol Int 87:346–352CrossRefPubMed Daggulli M, Onur MR, Firdolas F, Onur R, Kocakoc E, Orhan I (2011) Role of diffusion MRI and apparent diffusion coefficient measurement in the diagnosis, staging and pathological classification of bladder tumors. Urol Int 87:346–352CrossRefPubMed
58.
go back to reference Lavdas I, Rockall AG, Castelli F et al (2015) Apparent Diffusion Coefficient of Normal Abdominal Organs and Bone Marrow From Whole-Body DWI at 1.5 T: The Effect of Sex and Age. AJR Am J Roentgenol 205:242–250CrossRefPubMed Lavdas I, Rockall AG, Castelli F et al (2015) Apparent Diffusion Coefficient of Normal Abdominal Organs and Bone Marrow From Whole-Body DWI at 1.5 T: The Effect of Sex and Age. AJR Am J Roentgenol 205:242–250CrossRefPubMed
59.
go back to reference O'Flynn EA, Morgan VA, Giles SL, deSouza NM (2012) Diffusion weighted imaging of the normal breast: reproducibility of apparent diffusion coefficient measurements and variation with menstrual cycle and menopausal status. Eur Radiol 22:1512–1518CrossRefPubMed O'Flynn EA, Morgan VA, Giles SL, deSouza NM (2012) Diffusion weighted imaging of the normal breast: reproducibility of apparent diffusion coefficient measurements and variation with menstrual cycle and menopausal status. Eur Radiol 22:1512–1518CrossRefPubMed
60.
go back to reference Nissan N, Furman-Haran E, Shapiro-Feinberg M, Grobgeld D, Degani H (2014) Diffusion-tensor MR imaging of the breast: hormonal regulation. Radiology 271:672–680CrossRefPubMed Nissan N, Furman-Haran E, Shapiro-Feinberg M, Grobgeld D, Degani H (2014) Diffusion-tensor MR imaging of the breast: hormonal regulation. Radiology 271:672–680CrossRefPubMed
61.
go back to reference Giannotti E, Waugh S, Priba L, Davis Z, Crowe E, Vinnicombe S (2015) Assessment and quantification of sources of variability in breast apparent diffusion coefficient (ADC) measurements at diffusion weighted imaging. Eur J Radiol 84:1729–1736CrossRefPubMed Giannotti E, Waugh S, Priba L, Davis Z, Crowe E, Vinnicombe S (2015) Assessment and quantification of sources of variability in breast apparent diffusion coefficient (ADC) measurements at diffusion weighted imaging. Eur J Radiol 84:1729–1736CrossRefPubMed
62.
go back to reference Winfield JM, Papoutsaki MV, Ragheb H et al (2015) Development of a diffusion-weighted MRI protocol for multicentre abdominal imaging and evaluation of the effects of fasting on measurement of apparent diffusion coefficients (ADCs) in healthy liver. Br J Radiol 88:20140717CrossRefPubMedPubMedCentral Winfield JM, Papoutsaki MV, Ragheb H et al (2015) Development of a diffusion-weighted MRI protocol for multicentre abdominal imaging and evaluation of the effects of fasting on measurement of apparent diffusion coefficients (ADCs) in healthy liver. Br J Radiol 88:20140717CrossRefPubMedPubMedCentral
63.
go back to reference Giles SL, deSouza NM, Collins DJ et al (2015) Assessing myeloma bone disease with whole-body diffusion-weighted imaging: comparison with x-ray skeletal survey by region and relationship with laboratory estimates of disease burden. Clin Radiol 70:614–621CrossRefPubMedPubMedCentral Giles SL, deSouza NM, Collins DJ et al (2015) Assessing myeloma bone disease with whole-body diffusion-weighted imaging: comparison with x-ray skeletal survey by region and relationship with laboratory estimates of disease burden. Clin Radiol 70:614–621CrossRefPubMedPubMedCentral
64.
go back to reference Grech-Sollars M, Hales PW, Miyazaki K et al (2015) Multi-centre reproducibility of diffusion MRI parameters for clinical sequences in the brain. NMR Biomed 28:468–485CrossRefPubMedPubMedCentral Grech-Sollars M, Hales PW, Miyazaki K et al (2015) Multi-centre reproducibility of diffusion MRI parameters for clinical sequences in the brain. NMR Biomed 28:468–485CrossRefPubMedPubMedCentral
65.
go back to reference Doran SJ, d’Arcy J, Collins DJ et al (2012) Informatics in radiology: development of a research PACS for analysis of functional imaging data in clinical research and clinical trials. Radiographics 32:2135–2150CrossRefPubMed Doran SJ, d’Arcy J, Collins DJ et al (2012) Informatics in radiology: development of a research PACS for analysis of functional imaging data in clinical research and clinical trials. Radiographics 32:2135–2150CrossRefPubMed
66.
go back to reference Mesnier M, Ganger GR, Riedel E (2003) Object-based storage. Commun Mag, IEEE 41:84–90CrossRef Mesnier M, Ganger GR, Riedel E (2003) Object-based storage. Commun Mag, IEEE 41:84–90CrossRef
67.
go back to reference Marcus DS, Olsen TR, Ramaratnam M, Buckner RL (2007) The Extensible Neuroimaging Archive Toolkit: an informatics platform for managing, exploring, and sharing neuroimaging data. Neuroinformatics 5:11–34CrossRefPubMed Marcus DS, Olsen TR, Ramaratnam M, Buckner RL (2007) The Extensible Neuroimaging Archive Toolkit: an informatics platform for managing, exploring, and sharing neuroimaging data. Neuroinformatics 5:11–34CrossRefPubMed
68.
go back to reference Welsh L, Panek R, McQuaid D et al (2015) Prospective, longitudinal, multi-modal functional imaging for radical chemo-IMRT treatment of locally advanced head and neck cancer: the INSIGHT study. Radiat Oncol 10:112–122CrossRefPubMedPubMedCentral Welsh L, Panek R, McQuaid D et al (2015) Prospective, longitudinal, multi-modal functional imaging for radical chemo-IMRT treatment of locally advanced head and neck cancer: the INSIGHT study. Radiat Oncol 10:112–122CrossRefPubMedPubMedCentral
70.
go back to reference Jerome NP, Orton MR, d'Arcy JA et al (2015) Use of the temporal median and trimmed mean mitigates effects of respiratory motion in multiple-acquisition abdominal diffusion imaging. Phys Med Biol 60:N9–N20CrossRefPubMedPubMedCentral Jerome NP, Orton MR, d'Arcy JA et al (2015) Use of the temporal median and trimmed mean mitigates effects of respiratory motion in multiple-acquisition abdominal diffusion imaging. Phys Med Biol 60:N9–N20CrossRefPubMedPubMedCentral
71.
go back to reference Blackledge MD, Leach MO, Collins DJ, Koh DM (2011) Computed diffusion-weighted MR imaging may improve tumor detection. Radiology 261:573–581CrossRefPubMed Blackledge MD, Leach MO, Collins DJ, Koh DM (2011) Computed diffusion-weighted MR imaging may improve tumor detection. Radiology 261:573–581CrossRefPubMed
72.
go back to reference Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M (1988) Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168:497–505CrossRefPubMed Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M (1988) Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168:497–505CrossRefPubMed
73.
go back to reference Bennett KM, Schmainda KM, Bennett RT, Rowe DB, Lu H, Hyde JS (2003) Characterization of continuously distributed cortical water diffusion rates with a stretched- exponential model. Magn Reson Med 50:727–734CrossRefPubMed Bennett KM, Schmainda KM, Bennett RT, Rowe DB, Lu H, Hyde JS (2003) Characterization of continuously distributed cortical water diffusion rates with a stretched- exponential model. Magn Reson Med 50:727–734CrossRefPubMed
75.
go back to reference Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K (2005) Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 53:1432–1440CrossRefPubMed Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K (2005) Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 53:1432–1440CrossRefPubMed
76.
go back to reference Kiselev VG, Il'yasov KA (2007) Is the "biexponential diffusion" biexponential? Magn Reson Med 57:464–469CrossRefPubMed Kiselev VG, Il'yasov KA (2007) Is the "biexponential diffusion" biexponential? Magn Reson Med 57:464–469CrossRefPubMed
77.
go back to reference Rosenkrantz AB, Padhani AR, Chenevert TL et al (2015) Body diffusion kurtosis imaging: Basic principles, applications, and considerations for clinical practice. J Magn Reson Imaging 42:1190–1202CrossRefPubMed Rosenkrantz AB, Padhani AR, Chenevert TL et al (2015) Body diffusion kurtosis imaging: Basic principles, applications, and considerations for clinical practice. J Magn Reson Imaging 42:1190–1202CrossRefPubMed
78.
go back to reference Riches SF, Hawtin K, Charles-Edwards EM, deSouza NM (2009) Diffusion-weighted imaging of the prostate and rectal wall: comparison of biexponential and monoexponential modelled diffusion and associated perfusion coefficients. NMR Biomed 22:318–325CrossRefPubMed Riches SF, Hawtin K, Charles-Edwards EM, deSouza NM (2009) Diffusion-weighted imaging of the prostate and rectal wall: comparison of biexponential and monoexponential modelled diffusion and associated perfusion coefficients. NMR Biomed 22:318–325CrossRefPubMed
79.
go back to reference Jansen JF, Stambuk HE, Koutcher JA, Shukla-Dave A (2010) Non-gaussian analysis of diffusion-weighted MR imaging in head and neck squamous cell carcinoma: A feasibility study. AJNR Am J Neuroradiol 31:741–748CrossRefPubMed Jansen JF, Stambuk HE, Koutcher JA, Shukla-Dave A (2010) Non-gaussian analysis of diffusion-weighted MR imaging in head and neck squamous cell carcinoma: A feasibility study. AJNR Am J Neuroradiol 31:741–748CrossRefPubMed
80.
go back to reference Rosenkrantz AB, Sigmund EE, Johnson G et al (2012) Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer. Radiology 264:126–135CrossRefPubMed Rosenkrantz AB, Sigmund EE, Johnson G et al (2012) Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer. Radiology 264:126–135CrossRefPubMed
81.
go back to reference Mazaheri Y, Afaq A, Rowe DB, Lu Y, Shukla-Dave A, Grover J (2012) Diffusion- weighted magnetic resonance imaging of the prostate: improved robustness with stretched exponential modeling. J Comput Assist Tomogr 36:695–703CrossRefPubMed Mazaheri Y, Afaq A, Rowe DB, Lu Y, Shukla-Dave A, Grover J (2012) Diffusion- weighted magnetic resonance imaging of the prostate: improved robustness with stretched exponential modeling. J Comput Assist Tomogr 36:695–703CrossRefPubMed
82.
go back to reference Bourne RM, Panagiotaki E, Bongers A, Sved P, Watson G, Alexander DC (2014) Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivo. Magn Reson Med 72:1418–1426CrossRefPubMed Bourne RM, Panagiotaki E, Bongers A, Sved P, Watson G, Alexander DC (2014) Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivo. Magn Reson Med 72:1418–1426CrossRefPubMed
83.
84.
go back to reference Hauser T, Essig M, Jensen A et al (2013) Characterization and therapy monitoring of head and neck carcinomas using diffusion-imaging-based intravoxel incoherent motion parameters-preliminary results. Neuroradiology 55:527–536CrossRefPubMed Hauser T, Essig M, Jensen A et al (2013) Characterization and therapy monitoring of head and neck carcinomas using diffusion-imaging-based intravoxel incoherent motion parameters-preliminary results. Neuroradiology 55:527–536CrossRefPubMed
85.
go back to reference Orton MR, Messiou C, Collins D et al (2016) Diffusion-weighted MR imaging of metastatic abdominal and pelvic tumours is sensitive to early changes induced by a VEGF inhibitor using alternative diffusion attenuation models. Eur Radiol 26:1412–1419CrossRefPubMed Orton MR, Messiou C, Collins D et al (2016) Diffusion-weighted MR imaging of metastatic abdominal and pelvic tumours is sensitive to early changes induced by a VEGF inhibitor using alternative diffusion attenuation models. Eur Radiol 26:1412–1419CrossRefPubMed
86.
go back to reference Lima M, Le Bihan D (2016) Clinical Intravoxel Incoherent Motion and Diffusion MR Imaging: Past, Present, and Future. Radiology 278:13–32CrossRef Lima M, Le Bihan D (2016) Clinical Intravoxel Incoherent Motion and Diffusion MR Imaging: Past, Present, and Future. Radiology 278:13–32CrossRef
87.
go back to reference Fischer F, Selver MA, Gezer S, Dicle O, Hillen W (2015) Systematic Parameterization, Storage, and Representation of Volumetric DICOM Data. J Med Biol Eng 35:709–723CrossRefPubMedPubMedCentral Fischer F, Selver MA, Gezer S, Dicle O, Hillen W (2015) Systematic Parameterization, Storage, and Representation of Volumetric DICOM Data. J Med Biol Eng 35:709–723CrossRefPubMedPubMedCentral
88.
go back to reference Singer AD, Pattany PM, Fayad LM, Tresley J, Subhawong TK (2016) Volumetric segmentation of ADC maps and utility of standard deviation as measure of tumor heterogeneity in soft tissue tumors. Clin Imaging 40:386–391CrossRefPubMed Singer AD, Pattany PM, Fayad LM, Tresley J, Subhawong TK (2016) Volumetric segmentation of ADC maps and utility of standard deviation as measure of tumor heterogeneity in soft tissue tumors. Clin Imaging 40:386–391CrossRefPubMed
89.
go back to reference Yu Y, Lee DH, Peng SL et al (2016) Assessment of Glioma Response to Radiotherapy Using Multiple MRI Biomarkers with Manual and Semiautomated Segmentation Algorithms. J Neuroimaging 26:626–634CrossRefPubMedPubMedCentral Yu Y, Lee DH, Peng SL et al (2016) Assessment of Glioma Response to Radiotherapy Using Multiple MRI Biomarkers with Manual and Semiautomated Segmentation Algorithms. J Neuroimaging 26:626–634CrossRefPubMedPubMedCentral
90.
go back to reference Liu Y, deSouza NM, Shankar LK et al (2015) A risk management approach for imaging biomarker-driven clinical trials in oncology. Lancet Oncol 16:e622–e628CrossRefPubMed Liu Y, deSouza NM, Shankar LK et al (2015) A risk management approach for imaging biomarker-driven clinical trials in oncology. Lancet Oncol 16:e622–e628CrossRefPubMed
91.
go back to reference Raunig DL, McShane LM, Pennello G et al (2015) Quantitative imaging biomarkers: a review of statistical methods for technical performance assessment. Stat Methods Med Res 24:27–67CrossRefPubMed Raunig DL, McShane LM, Pennello G et al (2015) Quantitative imaging biomarkers: a review of statistical methods for technical performance assessment. Stat Methods Med Res 24:27–67CrossRefPubMed
92.
go back to reference Kessler LG, Barnhart HX, Buckler AJ et al (2015) The emerging science of quantitative imaging biomarkers terminology and definitions for scientific studies and regulatory submissions. Stat Methods Med Res 24:9–26CrossRefPubMed Kessler LG, Barnhart HX, Buckler AJ et al (2015) The emerging science of quantitative imaging biomarkers terminology and definitions for scientific studies and regulatory submissions. Stat Methods Med Res 24:9–26CrossRefPubMed
93.
go back to reference Sasaki M, Yamada K, Watanabe Y et al (2008) Variability in absolute apparent diffusion coefficient values across different platforms may be substantial: a multivendor, multi- institutional comparison study. Radiology 249:624–630CrossRefPubMed Sasaki M, Yamada K, Watanabe Y et al (2008) Variability in absolute apparent diffusion coefficient values across different platforms may be substantial: a multivendor, multi- institutional comparison study. Radiology 249:624–630CrossRefPubMed
94.
go back to reference Nishino M, Hatabu H, Johnson BE, McLoud TC (2014) State of the art: Response assessment in lung cancer in the era of genomic medicine. Radiology 271:6–27CrossRefPubMedPubMedCentral Nishino M, Hatabu H, Johnson BE, McLoud TC (2014) State of the art: Response assessment in lung cancer in the era of genomic medicine. Radiology 271:6–27CrossRefPubMedPubMedCentral
95.
go back to reference Bernardin L, Douglas NH, Collins DJ et al (2014) Diffusion-weighted magnetic resonance imaging for assessment of lung lesions: repeatability of the apparent diffusion coefficient measurement. Eur Radiol 24:502–511CrossRefPubMed Bernardin L, Douglas NH, Collins DJ et al (2014) Diffusion-weighted magnetic resonance imaging for assessment of lung lesions: repeatability of the apparent diffusion coefficient measurement. Eur Radiol 24:502–511CrossRefPubMed
96.
go back to reference Weller A, O'Brien ME, Ahmed M et al (2016) Mechanism and non-mechanism based imaging biomarkers for assessing biological response to treatment in non-small cell lung cancer. Eur J Cancer 59:65–78CrossRefPubMed Weller A, O'Brien ME, Ahmed M et al (2016) Mechanism and non-mechanism based imaging biomarkers for assessing biological response to treatment in non-small cell lung cancer. Eur J Cancer 59:65–78CrossRefPubMed
97.
go back to reference Reischauer C, Froehlich JM, Koh DM et al (2010) Bone metastases from prostate cancer: assessing treatment response by using diffusion-weighted imaging and functional diffusion maps--initial observations. Radiology 257:523–531CrossRefPubMed Reischauer C, Froehlich JM, Koh DM et al (2010) Bone metastases from prostate cancer: assessing treatment response by using diffusion-weighted imaging and functional diffusion maps--initial observations. Radiology 257:523–531CrossRefPubMed
100.
go back to reference O'Connor JP, Aboagye EO, Adams JE et al (2017) Imaging biomarker roadmap for cancer studies. Nat Rev Clin Oncol 14:169–186CrossRefPubMed O'Connor JP, Aboagye EO, Adams JE et al (2017) Imaging biomarker roadmap for cancer studies. Nat Rev Clin Oncol 14:169–186CrossRefPubMed
101.
go back to reference Wolf SM, Lawrenz FP, Nelson CA et al (2008) Managing incidental findings in human subjects research: analysis and recommendations. J Law Med Ethics 36:219–248, 211 CrossRefPubMedPubMedCentral Wolf SM, Lawrenz FP, Nelson CA et al (2008) Managing incidental findings in human subjects research: analysis and recommendations. J Law Med Ethics 36:219–248, 211 CrossRefPubMedPubMedCentral
102.
go back to reference Wale A, Pawlyn C, Kaiser M, Messiou C (2016) Frequency, distribution and clinical management of incidental findings and extramedullary plasmacytomas in whole body diffusion weighted magnetic resonance imaging in patients with multiple myeloma. Haematologica 101:e142–e144CrossRefPubMedPubMedCentral Wale A, Pawlyn C, Kaiser M, Messiou C (2016) Frequency, distribution and clinical management of incidental findings and extramedullary plasmacytomas in whole body diffusion weighted magnetic resonance imaging in patients with multiple myeloma. Haematologica 101:e142–e144CrossRefPubMedPubMedCentral
103.
go back to reference O’Connor J, et al. (2016) Imaging Biomarker Roadmap for Cancer Studies. Nat Rev Clin Oncol O’Connor J, et al. (2016) Imaging Biomarker Roadmap for Cancer Studies. Nat Rev Clin Oncol
105.
go back to reference van Elmpt W, Zegers CM, Reymen B et al (2016) Multiparametric imaging of patient and tumour heterogeneity in non-small-cell lung cancer: quantification of tumour hypoxia, metabolism and perfusion. Eur J Nucl Med Mol Imaging 43:240–248CrossRefPubMed van Elmpt W, Zegers CM, Reymen B et al (2016) Multiparametric imaging of patient and tumour heterogeneity in non-small-cell lung cancer: quantification of tumour hypoxia, metabolism and perfusion. Eur J Nucl Med Mol Imaging 43:240–248CrossRefPubMed
106.
go back to reference Hamstra DA, Galban CJ, Meyer CR et al (2008) Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival. J Clin Oncol 26:3387–3394CrossRefPubMedPubMedCentral Hamstra DA, Galban CJ, Meyer CR et al (2008) Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival. J Clin Oncol 26:3387–3394CrossRefPubMedPubMedCentral
Metadata
Title
Implementing diffusion-weighted MRI for body imaging in prospective multicentre trials: current considerations and future perspectives
Authors
N. M. deSouza
J. M. Winfield
J. C. Waterton
A. Weller
M.-V. Papoutsaki
S. J. Doran
D. J. Collins
L. Fournier
D. Sullivan
T. Chenevert
A. Jackson
M. Boss
S. Trattnig
Y. Liu
Publication date
01-03-2018
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 3/2018
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-4972-z

Other articles of this Issue 3/2018

European Radiology 3/2018 Go to the issue