So Yeon Kim1, Seong Ho Park. 1. Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
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.2–7 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.
Authors: So Yeon Kim; Seung Soo Lee; Bumwoo Park; Namkug Kim; Jeong Kon Kim; Seong Ho Park; Jae Ho Byun; Ki Jun Song; Ja-heung Koo; Eun Kyung Choi; Moon-Gyu Lee Journal: J Magn Reson Imaging Date: 2012-07-06 Impact factor: 4.813
Authors: So Yeon Kim; Seung Soo Lee; Jae Ho Byun; Seong Ho Park; Jeong Kon Kim; Bumwoo Park; Namkug Kim; Moon-Gyu Lee Journal: Radiology Date: 2010-06 Impact factor: 11.105
Authors: Jimi Huh; Kyung Jo Kim; Seong Ho Park; So Hyun Park; Suk-Kyun Yang; Byong Duk Ye; Sang Hyoung Park; Kyunghwa Han; Ah Young Kim Journal: Korean J Radiol Date: 2017-01-05 Impact factor: 3.500