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. 2015 Apr 29;21(6):E9–E10. doi: 10.1097/MIB.0000000000000414

Reply to What is the Role of Diffusion-weighted Imaging in Ileocolonic Crohn's Disease?

So Yeon Kim 1, Seong Ho Park 1
PMCID: PMC4450973  PMID: 25939042

Abstract

Article first published online 29 April 2015.


Reply:

The potential of diffusion-weighted magnetic resonance imaging (DW-MRI) as an imaging biomarker of bowel inflammation in Crohn's disease (CD) has been proposed by multiple research studies, including our own.1 Currently, there seems to be a general consensus on its diagnostic potential. However, as Dr. Buisson indicates, more research studies to further clarify the clinical role of DW-MRI in the evaluation of CD are needed. One area that merits particular attention is understanding how quantitative parameters derived from DW-MRI, namely apparent diffusion coefficient (ADC), can be used as a biomarker of bowel inflammation of CD. We believe that Dr. Buisson's statement that quantitative analysis of DW-MRI is a reproducible tool for monitoring CD activity is premature. Although there have been several studies that investigated observer agreement in measuring ADC values from DW-MRI images acquired in patients with CD, it should be noted that reproducibility/reliability of any imaging index goes far beyond mere observer reproducibility. In fact, the limited reproducibility of ADC in various applications in the abdomen is well known.27 ADC values can vary substantially even when the same subject is scanned repeatedly using the same scanner and same scanning methods (i.e., within scanner variability). Similarly, interscanner variability is significant. Multiple technical factors, including the b-factor, number of b-factors used to estimate ADC values, and whether perfusion effect is accounted for in the calculation of ADC are known to impact ADC. In addition, method of ADC measurement, including the size of region of interest, position of the region of interest, and selection of representative ADC value (i.e., lowest ADC value, mean ADC value, or else) would create additional sources of variability. Such large potential for variability requires particular caution in clinical use of ADC and obviates widespread implementation of quantitative ADC in clinical practice. In fact, recognizing these problems, QIBA (Quantitative Imaging Biomarkers Alliance) was formed to understand and reduce variability of quantitative imaging biomarkers across research studies and practices (see https://www.rsna.org/QIBA.aspx; for DW-MRI and ADC, refer to http://qibawiki.rsna.org/index.php?title=Perfusion%2C_Diffusion_and_Flow-MRI_tech_ctte). It should also be noted that any quantitative diagnostic cutoff values of imaging biomarkers reported in research studies, which are typically derived using the receiver operating characteristic curve analysis, are often subject to spectrum bias. As a result, even if the conceptual conclusions of research studies quantitatively investigating ADC values are generalizable, the numerical ADC values or values of any quantitative parameters derived from ADC are often individual study-specific and not truly generalizable. To our knowledge, the aforementioned issues have yet to be addressed in research studies of DW-MRI in CD and require attention in future studies before ADC, or any quantitative parameters derived from it are adopted in clinical practice or future clinical trials evaluating bowel inflammation in patients with CD.

Footnotes

Seong Ho Park reports grants from DongKook Pharm and from GE Healthcare. So Yeon Kim has no conflicts of interest to disclose.

REFERENCES

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