ArticleDiagnostics (Basel, Switzerland)2021
Introduction of the Grayscale Median for Ultrasound Tissue Characterization of the Transplanted Kidney.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Retrospective study on the association between carotid plaque stability assessed by ultrasound imaging features and stroke risk.Frontiers in neurology · 2025Article
- A Histogram Analysis of the Pixel Grayscale (Luminous Intensity) of B-Mode Ultrasound Images of the Subcutaneous Layer Predicts the Grade of Leg Edema in Pregnant Women.Healthcare (Basel, Switzerland) · 2023Article
- Atherosclerosis and Intrarenal Resistance Index in Kidney Transplant Recipients.Transplantation direct · 2023Article
- Grayscale median (GSM) post-processing, posterizing, and color mapping for carotid ultrasound.Jornal vascular brasileiro · 2023Article
- Comparing human milk macronutrients measured using analyzers based on mid-infrared spectroscopy and ultrasound and the application of machine learning in data fitting.BMC pregnancy and childbirth · 2022Article
- Renal Doppler Ultrasound in the Evaluation of Renal Function in Patients with Sepsis.Applied bionics and biomechanics · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ultrasound examination is advised for early post-kidney transplant assessment. Grayscale median (GSM) quantification is novel in the kidney transplant field, with no systematic assessment previously reported. In this prospective cohort study, we measured the post-operative GSM in a large cohort of adult kidney transplant recipients (KTR) who consecutively underwent Doppler ultrasound directly after transplantation (within 24 h), compared it with GSM in nontransplanted patients, and investigated its association with baseline and follow-up characteristics. B-mode images were used to calculate the GSM in KTR and compared with GSM data in nontransplanted patients, as simulated from summary statistics of the literature using a Mersenne twister algorithm. The association of GSM with baseline and 1-year follow-up characteristics were studied by means of linear regression analyses. In 282 KTR (54 ± 15 years old, 60% male), the median (IQR) GSM was 55 (45-69), ranging from 22 to 124 (coefficient of variation = 7.4%), without differences by type of donation (
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