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Updated: Mar 21, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord
Published on: April 7, 2015
Diffusion-weighted imaging with reverse phase-encoding polarity: the added value to the conventional
Gil-Sun Hong1, Choong Wook Lee2, Mi-Hyun Kim1
1Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, Korea.
Adding reverse phase-encoding polarity diffusion-weighted imaging (R-DWI) to standard forward phase-encoding polarity DWI (F-DWI) significantly improves the differentiation of acute brainstem infarctions from artefacts. This combined approach enhances diagnostic performance and reader confidence.
Area of Science:
- Radiology
- Neuroimaging
- Medical Diagnostics
Background:
- Diffusion-weighted imaging (DWI) is crucial for detecting acute ischemic stroke.
- Hyperintense artefacts on DWI can mimic acute brainstem infarctions, posing a diagnostic challenge.
Purpose of the Study:
- To evaluate the diagnostic value of combining reverse phase-encoding polarity DWI (R-DWI) with conventional forward phase-encoding polarity DWI (F-DWI).
- To assess the ability of this combined technique in differentiating acute brainstem infarctions from hyperintense artefacts.
Main Methods:
- Retrospective analysis of 76 patients (38 with acute brainstem infarctions, 38 with artefacts) who underwent both F-DWI and R-DWI.
- Four radiologists independently assessed diagnostic confidence and performance for F-DWI alone versus F-DWI with R-DWI.
Main Results:
- The area under the curve (AUC) for diagnosing infarctions was significantly higher with combined F-DWI and R-DWI compared to F-DWI alone for all readers.
- All readers reported increased confidence in diagnosing infarctions and ruling out artefacts when using the combined R-DWI technique.
Conclusions:
- The addition of R-DWI to F-DWI is a valuable and effective method for distinguishing acute brainstem infarctions from artefacts.
- Combined R-DWI and F-DWI reduces inter-reader variability and improves diagnostic accuracy in brainstem infarction detection.
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