| Literature DB >> 33835326 |
Daisuke Katagiri1,2, Feng Wang3,4, John C Gore4, Raymond C Harris5, Takamune Takahashi6,7.
Abstract
Complex molecular cell dynamics in acute kidney injury and its heterogeneous etiologies in patient populations in clinical settings have revealed the potential advantages and disadvantages of emerging novel damage biomarkers. Imaging techniques have been developed over the past decade to further our understanding about diseased organs, including the kidneys. Understanding the compositional, structural, and functional changes in damaged kidneys via several imaging modalities would enable a more comprehensive analysis of acute kidney injury, including its risks, diagnosis, and prognosis. This review summarizes recent imaging studies for acute kidney injury and discusses their potential utility in clinical settings.Entities:
Keywords: Acute kidney injury; Damage biomarkers; Imaging techniques
Mesh:
Year: 2021 PMID: 33835326 PMCID: PMC8154759 DOI: 10.1007/s10157-021-02055-2
Source DB: PubMed Journal: Clin Exp Nephrol ISSN: 1342-1751 Impact factor: 2.801
Currently available imaging techniques for AKI evaluation in clinical or experimental settings
| Evaluation | Modality | |
|---|---|---|
| Clinical imaging | Renal structure and vasculature | Ultrasonography |
| CT | ||
| Inflammation | PET–CT with 18F-FDG | |
| Basic imaging | Renal structure and vasculature | Ultrasound |
| Micro-CT | ||
| T1- and T2-weighted MRI | ||
| Renal Pathology | Cationic ferritin-enhanced MRI | |
| Blood flow, blood volume, and urine flow | Dynamic contrast-enhanced MRI | |
| Fluorine-19 MRI | ||
| Hemodynamic response imaging | ||
| Pulsed arterial spin labeling | ||
| Renal scintigraphy | ||
| Oxygenation | Blood oxygenation level-dependent MRI | |
| Metabolism | Magnetic resonance spectroscopic imaging Chemical exchange saturation transfer | |
| PET-CT with 18F-FDG | ||
| Fibrosis | Diffusion-weighted imaging | |
| Magnetization transfer | ||
| Magnetic resonance elastography | ||
| Spin–lattice relaxation time in the rotating frame | ||
| Sodium imaging | 23Na MRI | |
| Molecular imaging | Targeted superparamagnetic iron oxide nanoparticles Targeted microbubble contrast agents Optical molecular probes or reporters |
CT computed tomography, FDG 18F-fluorodeoxyglucose, MRI magnetic resonance imaging
Fig. 1Overall strategy for assessing AKI in different stages. Throughout the course of AKI, patients should be assessed using functional biomarkers (BM) including sCre or BUN, damage BM, urine microscopy, and various imaging techniques
Suggested strategy for assessing responses to AKI: combine novel biomarkers and emerging imaging techniques to detect incipient AKI and evaluate its extension, recovery, or progression to CKD
| Incipient AKI | Clinical AKI | Adaptive repair | Maladaptive repair | ||
|---|---|---|---|---|---|
| At-risk kidney | Insult, development | AKI extension (or host response) | |||
| Functional biomarkers | Creatinine, urine output | ||||
| Damage biomarkers | NGAL, L-FABP, KIM-1 | NGAL, L-FABP, TIMP-2, IGFBP-7 | MCP-1, UMOD, YKL-40 | NGAL, KIM-1 | |
| Imaging | US, MRI | BOLD | CEST, 23Na MRI, SPIO | CEST, BOLD | qMT, DWI |
| Others | Sediment | Kinetic eGFR | |||
BOLD blood oxygenation level-dependent, CEST chemical exchange saturation transfer, DWI diffusion-weighted imaging, eGFR estimated glomerular filtration rate, IGFBP insulin-like growth factor-binding protein, KIM-1 kidney injury molecule-1, L-FABP L-type fatty acid-binding protein, MRI magnetic resonance imaging, NGAL neutrophil gelatinase-associated lipocalin, qMT quantitative magnetization transfer, SPIO superparamagnetic iron oxide, TIMP-2 tissue inhibitor of metalloproteinase-2, US ultrasonography, MCP-1 Monocyte Chemotactic Protein-1, UMOD Uromodulin, YKL-40 Chitinase-3 like protein 1
Fig. 2Multi-parametric MRI that may aid in assessing AKI. The top diagams indicate changes in biomarkers (BM) during the course of AKI. The top diagrams were
adapted from the ADQI XIII Work Group. J Am Soc Nephrol. 2015 [13]. The lower charts indicate multi-parametric imaging that can help determine the fibrotic area in maladaptive repair after kidney insult in the absence of an ideal repair biomarker. qMT quantitative magnetization transfer, DWI diffusion-weighted imaging, SPIO superparamagnetic iron oxide
Fig. 3Multi-parametric MRI maps of the mouse kidney after IRI. The left renal pedicle was clipped for 45 min, and MRI was performed at 8 weeks after surgery. (a) T1-weighted (T1W) anatomical images showing shrinkage of the injured kidney. IRI ischemia–reperfusion injury, CL contralateral kidney. (b) Renal histopathology of the kidney with IRI. Prominent tubular atrophy in the kidney with IRI was observed. Masson’s trichrome staining is shown. Scale bar = 100 μm. (c) T2-weighted (T2W) anatomical images, T1 maps, T2 maps, T2* maps, pool-size ratio (PSR) maps from quantitative magnetization transfer (qMT) modeling, and magnetization transfer ratio (MTR) maps based on images with and without magnetization transfer saturation (820 degree and RF offset 5000 Hz). PSR and MTR signals and T2* signal intensity is regionally decreased in IRI kidney (arrows); the former indicates renal cell death/atrophy and the latter indicates hypoxia