Title
Spectral-based Ultrasonic Characterization of Renal Allografts in vivo
Date Issued
15 March 2021
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
IEEE Computer Society
Abstract
Kidney transplantation is the preferred long-term treatment modality for patients with end-stage renal disease as it confers improved survival and quality of life devoid of dialysis constraints. However, graft loss is still a concern in transplant recipients, necessitating close monitoring. The estimated glomerular filtration rate (eGFR) is often used as a surrogate marker of kidney function. Many transplant centers use a decline in eGFR to identify injury to the allograft, but this can miss early injury before there is substantial nephron damage. The use of quantitative ultrasound (QUS) parameters could aid in increasing the sensitivity for determining rejection particularly at early stages when management strategies may be implemented to avoid graft loss. In this prospective study, two parameters derived from ultrasonic backscatter coefficients (i.e., the slope and the intercept) were estimated. The cohort consisted of 16 renal transplant patients presenting for protocol renal biopsies. Seven volunteers had mild or moderate interstitial fibrosis with tubular atrophy (IFTA) and nine exhibited no signs of rejection. Even though both QUS parameters increased between the No IFTA and the IFTA groups, with the intercept parameter exhibiting statistically significant differences between the No IFTA and IFTA groups (p<0.05). These preliminary results suggest the potential of QUS analysis for the noninvasive characterization of renal allografts.
Volume
2021-May
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica Ingeniería médica
Scopus EID
2-s2.0-85107483218
ISSN of the container
23278161
ISBN of the container
9781728170534
Conference
Pan American Health Care Exchanges, PAHCE: 2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021
Sponsor(s)
The authors thank Thomas D. Atwell for annotating the kidney ultrasound images. This research was supported by Pontificia Universidad Catolica del Peru grant DGI-2019-0693. This study was also supported in part by grants R01DK092255 and R01DK90358 from the National Institute of Diabetes and Digestive and Kidney Diseases. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Diabetes and Digestive and Kidney Diseases.
Sources of information: Directorio de Producción Científica Scopus