Quantifying “Medical Renal Disease”: A Pediatric Pilot Study Using Ultrasound Radiomics for Differentiating Acute Kidney Injury and Chronic Kidney Disease

Laura De Leon-Benedetti; Laith R. Sultan; Hansel J. Otero; Tatiana Morales-Tisnés; Joya Sims; Kate Fitzpatrick; Julie C. Fitzgerald; Susan Furth; Benjamin L. Laskin; Bernarda Viteri

doi:10.3390/diagnostics15162112

Quantifying “Medical Renal Disease”: A Pediatric Pilot Study Using Ultrasound Radiomics for Differentiating Acute Kidney Injury and Chronic Kidney Disease

Laura De Leon-Benedetti
, Laith R. Sultan
, Hansel J. Otero
, Tatiana Morales-Tisnés
, Joya Sims
, Kate Fitzpatrick
, Julie C. Fitzgerald
, Susan Furth
, Benjamin L. Laskin
, Bernarda Viteri

The Children's Hospital of Philadelphia
University of Pennsylvania
Thomas Jefferson University

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Background: Differentiating acute kidney injury (AKI) from chronic kidney disease (CKD) in children remains a critical unmet need due to the limitations of current clinical and biochemical markers. Conventional ultrasound lacks the sensitivity to discern subtle parenchymal alterations. This study explores the application of ultrasound radiomics—a novel, non-invasive, and quantitative image analysis method—for distinguishing AKI from CKD in pediatric patients. Methods: In this retrospective cross-sectional pilot study, kidney ultrasound images were obtained from 31 pediatric subjects: 8 with oliguric AKI, 14 with CKD, and 9 healthy controls.

Original language	English
Article number	2112
Journal	Diagnostics
Volume	15
Issue number	16
DOIs	https://doi.org/10.3390/diagnostics15162112
State	Published - Aug 2025
Externally published	Yes

Keywords

acute kidney injury
chronic kidney disease
diagnostic ultrasound
nephrology
radiomics

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10.3390/diagnostics15162112

Cite this

De Leon-Benedetti, L., Sultan, L. R., Otero, H. J., Morales-Tisnés, T., Sims, J., Fitzpatrick, K., Fitzgerald, J. C., Furth, S., Laskin, B. L., & Viteri, B. (2025). Quantifying “Medical Renal Disease”: A Pediatric Pilot Study Using Ultrasound Radiomics for Differentiating Acute Kidney Injury and Chronic Kidney Disease. Diagnostics, 15(16), Article 2112. https://doi.org/10.3390/diagnostics15162112

@article{1cf48fa9f48847918e6bcc1eaad68e70,

title = "Quantifying {\textquotedblleft}Medical Renal Disease{\textquotedblright}: A Pediatric Pilot Study Using Ultrasound Radiomics for Differentiating Acute Kidney Injury and Chronic Kidney Disease",

abstract = "Background: Differentiating acute kidney injury (AKI) from chronic kidney disease (CKD) in children remains a critical unmet need due to the limitations of current clinical and biochemical markers. Conventional ultrasound lacks the sensitivity to discern subtle parenchymal alterations. This study explores the application of ultrasound radiomics{\textemdash}a novel, non-invasive, and quantitative image analysis method{\textemdash}for distinguishing AKI from CKD in pediatric patients. Methods: In this retrospective cross-sectional pilot study, kidney ultrasound images were obtained from 31 pediatric subjects: 8 with oliguric AKI, 14 with CKD, and 9 healthy controls.",

keywords = "acute kidney injury, chronic kidney disease, diagnostic ultrasound, nephrology, radiomics",

author = "\{De Leon-Benedetti\}, Laura and Sultan, \{Laith R.\} and Otero, \{Hansel J.\} and Tatiana Morales-Tisn{\'e}s and Joya Sims and Kate Fitzpatrick and Fitzgerald, \{Julie C.\} and Susan Furth and Laskin, \{Benjamin L.\} and Bernarda Viteri",

note = "Publisher Copyright: {\textcopyright} 2025 by the authors.",

year = "2025",

month = aug,

doi = "10.3390/diagnostics15162112",

language = "English",

volume = "15",

journal = "Diagnostics",

issn = "2075-4418",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "16",

}

De Leon-Benedetti, L, Sultan, LR, Otero, HJ, Morales-Tisnés, T, Sims, J, Fitzpatrick, K, Fitzgerald, JC, Furth, S, Laskin, BL & Viteri, B 2025, 'Quantifying “Medical Renal Disease”: A Pediatric Pilot Study Using Ultrasound Radiomics for Differentiating Acute Kidney Injury and Chronic Kidney Disease', Diagnostics, vol. 15, no. 16, 2112. https://doi.org/10.3390/diagnostics15162112

TY - JOUR

T1 - Quantifying “Medical Renal Disease”

T2 - A Pediatric Pilot Study Using Ultrasound Radiomics for Differentiating Acute Kidney Injury and Chronic Kidney Disease

AU - De Leon-Benedetti, Laura

AU - Sultan, Laith R.

AU - Otero, Hansel J.

AU - Morales-Tisnés, Tatiana

AU - Sims, Joya

AU - Fitzpatrick, Kate

AU - Fitzgerald, Julie C.

AU - Furth, Susan

AU - Laskin, Benjamin L.

AU - Viteri, Bernarda

PY - 2025/8

Y1 - 2025/8

N2 - Background: Differentiating acute kidney injury (AKI) from chronic kidney disease (CKD) in children remains a critical unmet need due to the limitations of current clinical and biochemical markers. Conventional ultrasound lacks the sensitivity to discern subtle parenchymal alterations. This study explores the application of ultrasound radiomics—a novel, non-invasive, and quantitative image analysis method—for distinguishing AKI from CKD in pediatric patients. Methods: In this retrospective cross-sectional pilot study, kidney ultrasound images were obtained from 31 pediatric subjects: 8 with oliguric AKI, 14 with CKD, and 9 healthy controls.

AB - Background: Differentiating acute kidney injury (AKI) from chronic kidney disease (CKD) in children remains a critical unmet need due to the limitations of current clinical and biochemical markers. Conventional ultrasound lacks the sensitivity to discern subtle parenchymal alterations. This study explores the application of ultrasound radiomics—a novel, non-invasive, and quantitative image analysis method—for distinguishing AKI from CKD in pediatric patients. Methods: In this retrospective cross-sectional pilot study, kidney ultrasound images were obtained from 31 pediatric subjects: 8 with oliguric AKI, 14 with CKD, and 9 healthy controls.

KW - acute kidney injury

KW - chronic kidney disease

KW - diagnostic ultrasound

KW - nephrology

KW - radiomics

UR - https://www.scopus.com/pages/publications/105014511416

U2 - 10.3390/diagnostics15162112

DO - 10.3390/diagnostics15162112

M3 - Article

AN - SCOPUS:105014511416

SN - 2075-4418

VL - 15

JO - Diagnostics

JF - Diagnostics

IS - 16

M1 - 2112

ER -

Quantifying “Medical Renal Disease”: A Pediatric Pilot Study Using Ultrasound Radiomics for Differentiating Acute Kidney Injury and Chronic Kidney Disease

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Keywords

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