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Photoacoustic imaging of kidney fibrosis for assessing pretransplant organ quality
Eno Hysi, Xiaolin He, Muhannad N. Fadhel, Tianzhou Zhang, Adriana Krizova, Michael Ordon, Monica Farcas, Kenneth T. Pace, Victoria Mintsopoulos, Warren L. Lee, Michael C. Kolios, Darren A. Yuen
Eno Hysi, Xiaolin He, Muhannad N. Fadhel, Tianzhou Zhang, Adriana Krizova, Michael Ordon, Monica Farcas, Kenneth T. Pace, Victoria Mintsopoulos, Warren L. Lee, Michael C. Kolios, Darren A. Yuen
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Resource and Technical Advance Nephrology

Photoacoustic imaging of kidney fibrosis for assessing pretransplant organ quality

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Abstract

Roughly 10% of the world’s population has chronic kidney disease (CKD). In its advanced stages, CKD greatly increases the risk of hospitalization and death. Although kidney transplantation has revolutionized the care of advanced CKD, clinicians have limited ways of assessing donor kidney quality. Thus, optimal donor kidney–recipient matching cannot be performed, meaning that some patients receive damaged kidneys that function poorly. Fibrosis is a form of chronic damage often present in donor kidneys, and it is an important predictor of future renal function. Currently, no safe, easy-to-perform technique exists that accurately quantifies renal fibrosis. We describe a potentially novel photoacoustic (PA) imaging technique that directly images collagen, the principal component of fibrotic tissue. PA imaging noninvasively quantifies whole kidney fibrotic burden in mice, and cortical fibrosis in pig and human kidneys, with outstanding accuracy and speed. Remarkably, 3-dimensional PA imaging exhibited sufficiently high resolution to capture intrarenal variations in collagen content. We further show that PA imaging can be performed in a setting that mimics human kidney transplantation, suggesting the potential for rapid clinical translation. Taken together, our data suggest that PA collagen imaging is a major advance in fibrosis quantification that could have widespread preclinical and clinical impact.

Authors

Eno Hysi, Xiaolin He, Muhannad N. Fadhel, Tianzhou Zhang, Adriana Krizova, Michael Ordon, Monica Farcas, Kenneth T. Pace, Victoria Mintsopoulos, Warren L. Lee, Michael C. Kolios, Darren A. Yuen

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Figure 1

An overview of photoacoustic (PA) imaging with spectral unmixing as a tool to noninvasively quantify renal collagen content.

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An overview of photoacoustic (PA) imaging with spectral unmixing as a to...
(A) In photoacoustic imaging, a nanosecond (ns) pulsed laser illuminates tissue with light of varying wavelengths. Optical tissue chromophores absorb light at specific wavelengths, leading to thermal expansion that generates an acoustic wave, which is captured by an ultrasound probe. Image reconstruction of these ultrasound waves can provide information on the concentration and location of these chromophores. (B) Using spectral unmixing, PA images acquired at multiple wavelengths (λ) are input to the unmixing algorithm, which then can faithfully separate out the individual contributions of oxyhemoglobin (HbO), deoxyhemoglobin (Hb), and collagen. The resulting PA chromophore maps provide the spatial distribution and estimates of the hemoglobin and collagen content within the imaged kidney.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

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