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Editorial for “Exploration of Interstitial Fibrosis in Chronic Kidney Disease by Diffusion‐Relaxation Correlation Spectrum MR Imaging: A Preliminary Study”

R. Girometti, M. Bertolotto

Journal of Magnetic Resonance Imaging, 2022

40 participants · 1 citation

Abstract

Chronic kidney disease (CKD) affects 12% of all adults in the United States. State-of-the-art imaging techniques can only evaluate CKD at a macroscopic level, for example, by showing reduced renal volume and loss of corticomedullary differentiation. However, there is an everincreasing interest in magnetic-resonance (MR)-based functional methods as tools for exploiting the microscopic environment of CKD, including interstitial fibrosis (IF). IF is the hallmark of disease and a key prognostic and risk stratification feature. At histological examination after renal biopsy, this condition consists of the deposition of extracellular matrix in the potential space between tubules and peritubular capillaries, regardless of the type of renal injury. MR assessment of IF might help establishing a surrogate standard of reference for clinical trials and, lately, clinical practice, especially in the monitoring of fibrosis progression. Advantages are expected even in transplanted patients with chronic renal allograft injury. MR methods for quantifying IF frequently focused on T1 or T2 relaxation times in literature, as well as different diffusion-weighted imaging-based models and metrics. While results are promising overall, there is no established proof of reproducibility and true clinical impact. It has been supposed that combining different MR indexes might better balance reciprocal advantages and disadvantages and maximize diagnostic capabilities. In this line, one of the major goals…

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Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 40 participants or records.

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