ArticleMagnetic resonance in medicine2020
Removing rician bias in diffusional kurtosis of the prostate using real-data reconstruction.
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Quantitative diffusion MRI of the abdomen and pelvis.Medical physics · 2022Article
- Multiparametric MRI of early tumor response to immune checkpoint blockade in metastatic melanoma.Journal for immunotherapy of cancer · 2021Article
- Removing rician bias in diffusional kurtosis of the prostate using real-data reconstruction.Magnetic resonance in medicine · 2020Article
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8 authors.
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Abstract
purposeTo compare prostate diffusional kurtosis imaging (DKI) metrics generated using phase-corrected real data with those generated using magnitude data with and without noise compensation (NC).
methodsDiffusion-weighted images were acquired at 3T in 16 prostate cancer patients, measuring 6 b-values (0-1500 s/mm
resultsSimulations indicated LPF size can strongly affect K metrics, where 64-pixel LPFs produced accurate metrics. Relative to metrics estimated from magnitude data without NC, median NC K were lower (P < 0.0001) by 6/11/8% in tumor/NPZ/NTZ, 64-LPF real-data K were lower (P < 0.0001) by 4/10/7%, respectively.
conclusionCompared with magnitude data with NC, phase-corrected real data can produce similar K, although the choice of phase-correction LPF should be chosen carefully.
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