Diffusion gradient nonlinearity bias correction reduces bias of breast cancer bone metastasis ADC values

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Contract grant sponsor Health Research Fund of Central Denmark Region. Background Diffusion gradient nonlinearity (DGNL) bias causes apparent diffusion coefficient (ADC) values to drop with increasing superior-inferior (SI) isocenter offset. This is a concern when performing quantitative diffusion-weighted imaging (DWI). Purpose/Hypothesis To investigate if DGNL ADC bias can be corrected in breast cancer bone metastases using a clinical DWI protocol and an online correction algorithm. Study Type Prospective. Subjects/Phantom A diffusion phantom (Model 128, High Precision Devices, Boulder, CO) was used for in vitro validation. Twenty-three women with bone-metastasizing breast cancer were enrolled to assess DGNL correction in vivo. Field Strength/Sequence DWI was performed on a 1.5T MRI system as single-shot, spin-echo, echo-planar imaging with short-tau inversion recovery (STIR) fat-saturation. ADC maps with and without DGNL correction were created from the b50 and b800 images. Assessment Uncorrected and DGNL-corrected ADC values were measured in phantom and bone metastases by placing regions of interest on b800 images and copying them to the ADC map. The SI offset was recorded. Statistical Tests In all, 79 bone metastases were assessed. ADC values with and without DGNL correction were compared at 14 cm SI offset using a two-tailed t-test. Results In the diffusion phantom, DGNL correction increased SI offset, where ADC bias was lower than 5%, from 7.3-13.8 cm. Of the 23 patients examined, six had no metastases in the covered regions. In the remaining patients, bias of uncorrected bone metastasis ADC values was 19.1% (95% confidence interval [CI]: 15.4-22.9%) at 14 cm SI offset. After DGNL correction, ADC bias was significantly reduced to 3.5% (95% CI: 0.7-6.3%, P <0.001), thus reducing bias due to DGNL by 82%. Data Conclusion Online DGNL correction corrects DGNL ADC value bias and allows increased station lengths in the SI direction.

Original languageEnglish
JournalJournal of Magnetic Resonance Imaging
Volume51
Issue3
Pages (from-to)904-911
Number of pages8
ISSN1053-1807
DOIs
Publication statusPublished - 2020

    Research areas

  • diffusion magnetic resonance imaging, software validation, breast neoplasms, bone marrow diseases, PROSTATE-CANCER, TREATMENT RESPONSE, COEFFICIENT

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