ArticleNature medicine2025
A first-in-human study of quantitative ultrasound to assess transplant kidney fibrosis.
Article in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Time-Zero Kidney Biopsy and Deceased-Donor Transplant Outcomes: A Systematic Review and Meta-Analysis of Prognostic Value, Prediction, and Clinical Utility.Medical sciences (Basel, Switzerland) · 2026Pooled it
- Article
- Integrating kidney imaging for risk prediction, therapeutic monitoring, and prognostication across the kidney disease spectrum: a review of emerging evidence.Clinical kidney journal · 2026Review
- Intra- and interobserver variability in renal multiparametric magnetic resonance imaging: T1 mapping, diffusion-weighted imaging, arterial spin labeling, blood oxygen level-dependent and renal artery flow measurements utilizing manual segmentation.Quantitative imaging in medicine and surgery · 2026Article
- A multimodal feature disentanglement model for lymphadenopathy diagnosis based on BUS and CDFI ultrasound videos: a retrospective, prospective, multicenter study.European radiology · 2026Article
- RENAL-CHIP: Rejection Evaluation via Non-Invasive Analysis of Circulating Podocytes With Herringbone-Chip Isolation Platform.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Spatiotemporal acoustic meta-patches for multifactorial wound treatment.Bioactive materials · 2026Article
- Bandgap-enabled ultrasound tissue marking by a biodegradable metastructured hydrogel implant.Science advances · 2026Article
- Ultrasound Attenuation Coefficient as a Biomarker of Hepatic Steatosis: State of the Art and Software Evaluation.Journal of clinical medicine · 2026Review
- Experimental Validation of Time-Explicit Ultrasound Propagation Models with Sound Diffusivity or Viscous Attenuation in Biological Tissues Using COMSOL Multiphysics.Bioengineering (Basel, Switzerland) · 2025Article
- Progresses and clinical application of super-resolution ultrasound imaging: a narrative review.The ultrasound journal · 2025Review
- Quantitative ultrasound and photoacoustic assessments of red blood cell aggregation in the human radial artery.Photoacoustics · 2025Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kidney transplantation is the optimal treatment for renal failure. In the United States, a biopsy at the time of organ procurement is often used to assess kidney quality to decide whether it should be used for transplant. This assessment is focused on renal fibrotic burden, because fibrosis is an important measure of irreversible kidney injury. Unfortunately, biopsy at the time of transplant is plagued by problems, including bleeding risk, inaccuracies introduced by sampling bias and rapid sample preparation, and the need for round-the-clock pathology expertise. We developed a quantitative algorithm, called renal H-scan, that can be added to standard ultrasound workflows to quickly and noninvasively measure renal fibrotic burden in preclinical animal models and human transplant kidneys. Furthermore, we provide evidence that biopsy-based fibrosis estimates, because of their highly localized nature, are inaccurate measures of whole-kidney fibrotic burden and do not associate with kidney function post-transplant. In contrast, we show that whole-kidney H-scan fibrosis estimates associate closely with post-transplant renal function. Taken together, our data suggest that the addition of H-scan to standard ultrasound workflows could provide a safe, rapid and easy-to-perform method for accurate quantification of transplant kidney fibrotic burden, and thus better prediction of post-transplant renal outcomes.
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