Abstract：
OBJECTIVE:The apparent diffusion coefficient (ADC) is increasingly used as a quantitative biomarker in oncological imaging. ADC calculation is based on raw diffusion-weighted imaging (DWI) data, and multiple post-processing methods (PPMs) have been proposed for this purpose. We investigated whether PPM has an impact on final ADC values. METHODS:Sixty-five lesions scanned with a standardized whole-body DWI-protocol at 3 T served as input data (EPI-DWI, b-values: 50, 400 and 800 s/mm2). Using exactly the same ROI coordinates, four different PPM (ADC_1-ADC_4) were executed to calculate corresponding ADC values, given as [10-3 mm2/s] of each lesion. Statistical analysis was performed to intra-individually compare ADC values stratified by PPM (Wilcoxon signed-rank tests: α = 1 %; descriptive statistics; relative difference/∆; coefficient of variation/CV). RESULTS:Stratified by PPM, mean ADCs ranged from 1.136-1.206 *10-3 mm2/s (∆ = 7.0 %). Variances between PPM were pronounced in the upper range of ADC values (maximum: 2.540-2.763 10-3 mm2/s, ∆ = 8 %). Pairwise comparisons identified significant differences between all PPM (P ≤ 0.003; mean CV = 7.2 %) and reached 0.137 *10-3 mm2/s within the 25th-75th percentile. CONCLUSION:Altering the PPM had a significant impact on the ADC value. This should be considered if ADC values from different post-processing methods are compared in patient studies. KEY POINTS:• Post-processing methods significantly influenced ADC values. • The mean coefficient of ADC variation due to PPM was 7.2 %. • To achieve reproducible ADC values, standardization of post-processing is recommended.
journal_name
Eur Radioljournal_title
European radiologyauthors
Zeilinger MG,Lell M,Baltzer PA,Dörfler A,Uder M,Dietzel Mdoi
10.1007/s00330-016-4403-6subject
Has Abstractpub_date
2017-03-01 00:00:00pages
946-955issue
3eissn
0938-7994issn
1432-1084pii
10.1007/s00330-016-4403-6journal_volume
27pub_type
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