Ultrasound localization microscopy of the human kidney allograft on a clinical ultrasound scanner.


Journal

Kidney international
ISSN: 1523-1755
Titre abrégé: Kidney Int
Pays: United States
ID NLM: 0323470

Informations de publication

Date de publication:
05 2023
Historique:
received: 10 08 2022
revised: 18 01 2023
accepted: 27 01 2023
medline: 25 4 2023
pubmed: 26 2 2023
entrez: 25 2 2023
Statut: ppublish

Résumé

Chronic kidney disease is a major medical problem, causing more than a million deaths each year worldwide. Peripheral kidney microvascular damage characterizes most chronic kidney diseases, yet noninvasive and quantitative diagnostic tools to measure this are lacking. Ultrasound Localization Microscopy (ULM) can assess tissue microvasculature with unprecedented resolution. Here, we optimized methods on 35 kidney transplants and studied the feasibility of ULM in seven human kidney allografts with a standard low frame rate ultrasound scanner to access microvascular damage. Interlobar, arcuate, cortical radial vessels, and part of the medullary organization were visible on ULM density maps. The medullary vasa recta can be seen but are not as clear as the cortical vessels. Acquisition parameters were derived from Contrast-Enhanced Ultrasound examinations by increasing the duration of the recorded clip at the same plane. ULM images were compared with Color Doppler, Advanced Dynamic Flow, and Superb Microvascular Imaging with a contrast agent. Despite some additional limitations due to movement and saturation artifacts, ULM identified vessels two to four times thinner compared with Doppler modes. The mean ULM smallest analyzable vessel cross section was 0.3 ± 0.2 mm in the seven patients. Additionally, ULM was able to provide quantitative information on blood velocities in the cortical area. Thus, this proof-of-concept study has shown ULM to be a promising imaging technique for qualitative and quantitative microvascular assessment. Imaging native kidneys in patients with kidney diseases will be needed to identify their ULM biomarkers.

Identifiants

pubmed: 36841476
pii: S0085-2538(23)00125-4
doi: 10.1016/j.kint.2023.01.027
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

930-935

Informations de copyright

Copyright © 2023 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Auteurs

Sylvain Bodard (S)

AP-HP, Hôpital Necker Enfants Malades, Service d'Imagerie Adulte, Paris, France; Sorbonne Université, CNRS, INSERM Laboratoire d'Imagerie Biomédicale, Paris, France; Université de Paris Cité, Paris, France. Electronic address: sylvain.bodard@aphp.fr.

Louise Denis (L)

Sorbonne Université, CNRS, INSERM Laboratoire d'Imagerie Biomédicale, Paris, France.

Vincent Hingot (V)

Sorbonne Université, CNRS, INSERM Laboratoire d'Imagerie Biomédicale, Paris, France.

Arthur Chavignon (A)

Sorbonne Université, CNRS, INSERM Laboratoire d'Imagerie Biomédicale, Paris, France.

Olivier Hélénon (O)

AP-HP, Hôpital Necker Enfants Malades, Service d'Imagerie Adulte, Paris, France; Université de Paris Cité, Paris, France.

Dany Anglicheau (D)

Université de Paris Cité, Paris, France; AP-HP, Hôpital Necker Enfants Malades, Service de néphrologie-transplantation rénale adulte, Paris, France.

Olivier Couture (O)

Sorbonne Université, CNRS, INSERM Laboratoire d'Imagerie Biomédicale, Paris, France.

Jean-Michel Correas (JM)

AP-HP, Hôpital Necker Enfants Malades, Service d'Imagerie Adulte, Paris, France; Sorbonne Université, CNRS, INSERM Laboratoire d'Imagerie Biomédicale, Paris, France; Université de Paris Cité, Paris, France.

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Classifications MeSH