Trial reportScientific reports2019
Diffusion Tensor Imaging of the Kidney: Design and Evaluation of a Reliable Processing Pipeline.
Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- Diffusion tensor imaging of the healthy feline kidney.Journal of feline medicine and surgery · 2026Article
- Diffusion tractography outside the brain: the road less travelled.Brain structure & function · 2026Review
- Diffusion Tensor Imaging (DTI) as a Non-Invasive Tool for Assessing Pediatric Kidney Transplants: A Feasibility Study.Pediatric transplantation · 2025Article
- Multi-model quantitative MRI of uterine cancers in precision medicine's era-a narrative review.Insights into imaging · 2025Article
- The effect of elimination of gibbs ringing, noise and systematic errors on the DTI metrics and tractography in a rat brain.Scientific reports · 2024Article
- Application of Diffusion Kurtosis Imaging and Blood Oxygen Level-Dependent Magnetic Resonance Imaging in Kidney Injury Associated with ANCA-Associated Vasculitis.Tomography (Ann Arbor, Mich.) · 2024Article
- Characterization of motion dependent magnetic field inhomogeneity for DWI in the kidneys.Magnetic resonance imaging · 2023Article
- Quantitative diffusion MRI of the abdomen and pelvis.Medical physics · 2022Article
- Study of renal parenchymal changes by diffusion tensor imaging in diabetic nephropathy.Polish journal of radiology · 2022Article
- Diffusion tensor imaging for the study of early renal dysfunction in patients affected by bardet-biedl syndrome.Scientific reports · 2021Article
- Retrospective Distortion and Motion Correction for Free-Breathing DW-MRI of the Kidneys Using Dual-Echo EPI and Slice-to-Volume Registration.Journal of magnetic resonance imaging : JMRI · 2021Article
- Mapping kidney tubule diameter ex vivo by diffusion MRI.American journal of physiology. Renal physiology · 2021Article
- Geometric Distortion Correction of Renal Diffusion Tensor Imaging Using the Reversed Gradient Method.Journal of computer assisted tomographyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffusion tensor imaging (DTI) is particularly suitable for kidney studies due to tubules, collector ducts and blood vessels in the medulla that produce spatially restricted diffusion of water molecules, thus reflecting the high grade of anisotropy detectable by DTI. Kidney DTI is still a challenging technique where the off-resonance susceptibility artefacts and subject motion can severely affect the reproducibility of results. The aim of this study is to design a reliable processing pipeline by assessing different image processing approaches in terms of reproducibility and image artefacts correction. The results of four different processing pipelines (eddy: correction of eddy-currents and motion between DTI volume; eddy-s2v: eddy and within DTI volume motion correction; topup: eddy and geometric distortion correction; topup-s2v: topup and within DTI volume motion correction) are compared in terms of reproducibility by test-retest analysis in 14 healthy subjects. Within-subject coefficient of variation (wsCV) and intra-class correlation coefficient (ICC) are measured to assess the reproducibility and Dice similarity index is evaluated for the spatial alignment between DTI and anatomical images. Topup-s2v pipeline provides highest reproducibility (wsCV = 0.053, ICC = 0.814) and best correction of image distortion (Dice = 0.83). This study definitely provides a recipe for data processing, enabling for a clinical suitability of kidney DTI.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.