Editorial

ADC on Diffusion Imaging: The MR Analog of SUV on FDG-PET: Perfect Is the Enemy of Good

Corresponding Author

Yoshimi Anzai MD, MPH

[email protected]

orcid.org/0000-0003-2988-7445

University of Utah, Salt Lake City, Utah, USA

Address reprint requests to: Y.A., University of Utah Health, 30N 1900 E, Rm 1A 71, Salt Lake City, UT 84132. E-mail: [email protected]Search for more papers by this author

Yoshimi Anzai MD, MPH,

Corresponding Author

Yoshimi Anzai MD, MPH

[email protected]

orcid.org/0000-0003-2988-7445

University of Utah, Salt Lake City, Utah, USA

Address reprint requests to: Y.A., University of Utah Health, 30N 1900 E, Rm 1A 71, Salt Lake City, UT 84132. E-mail: [email protected]Search for more papers by this author

First published: 07 October 2019

https://doi.org/10.1002/jmri.26938

Share a link

Email
Wechat
Bluesky

Abstract

Level of Evidence: 5

Technical Efficacy Stage: 3 J. Magn. Reson. Imaging 2020;51:286–287.

References

1Le Bihan D. Intravoxel incoherent motion imaging using steady-state free precession. Magn Reson Med 1988; 7: 346–351.
10.1002/mrm.1910070312
CAS PubMed Web of Science® Google Scholar
2Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 1988; 168: 497–505.
10.1148/radiology.168.2.3393671
CAS PubMed Web of Science® Google Scholar
3Le Bihan D, Turner R, Moonen CT, Pekar J. Imaging of diffusion and microcirculation with gradient sensitization: Design, strategy, and significance. J Magn Reson Imaging 1991; 1: 7–28.
10.1002/jmri.1880010103
CAS PubMed Web of Science® Google Scholar
4Fujima N, Yoshida D, Sakashita T. Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma: Assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI. Magn Reson Imaging 2014; 32: 1206–1213.
10.1016/j.mri.2014.08.009
PubMed Web of Science® Google Scholar
5Xiao Z, Tang Z, Zhang J. et al. Whole-tumor histogram analysis of monoexponential and advanced diffusion-weighted imaging for sinonasal malignant tumors: Correlations with histopathologic features. J Magn Reson Imaging 2019 [Epub ahead of print].
10.1002/jmri.26857
Web of Science® Google Scholar
6Kim CK, Gupta NC, Chandramouli B. Standardized uptake values of FDG: Body surface area correction is preferable to body weight correction. J Nucl Med 1994; 35: 164–167.
CAS PubMed Web of Science® Google Scholar
7Iima M, Yamamoto A, Kataoka M. Time-dependent diffusion MRI to distinguish malignant from benign head and neck tumors. J Magn Reson Imaging 2019; 50: 88–95.
10.1002/jmri.26578
PubMed Web of Science® Google Scholar
8Gleason DF, Mellinger GT. Prediction of prognosis for prostatic adenocarcinoma by combined histological grading and clinical staging. J Urol 1974; 111: 58–64.
10.1016/S0022-5347(17)59889-4
CAS PubMed Web of Science® Google Scholar
9Bell, D, Saade R, Roberts D. Prognostic Utility of Hyams Histological Grading and Kadish-Morita Staging Systems for Esthesioneuroblastoma Outcomes. Head and Neck Pathol. 2015; 9(1): 51–59. PMID: 24806334.
10.1007/s12105-014-0547-3
PubMed Web of Science® Google Scholar

Volume51, Issue1

January 2020

Pages 286-287

ADC on Diffusion Imaging: The MR Analog of SUV on FDG-PET: Perfect Is the Enemy of Good

Abstract

References

References

Information

About Wiley Online Library

Help & Support

Opportunities

Connect with Wiley

ADC on Diffusion Imaging: The MR Analog of SUV on FDG-PET: Perfect Is the Enemy of Good

Abstract

References

References

Related

Information