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Ultrasound super-resolution imaging for the assessment of renal allograft dysfunction: A pilot study.
Hu, Yugang; Lei, Yumeng; Yu, Meihui; Zhang, Yao; Huang, Xingyue; Zhang, Ge; Deng, Qing.
Afiliación
  • Hu Y; Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430061, China.
  • Lei Y; Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan, 430080, China.
  • Yu M; Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan, 430080, China.
  • Zhang Y; Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430061, China.
  • Huang X; Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430061, China.
  • Zhang G; Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan, 430080, China.
  • Deng Q; Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, 430061, China.
Heliyon ; 10(16): e36515, 2024 Aug 30.
Article en En | MEDLINE | ID: mdl-39247269
ABSTRACT

Background:

The purpose of this study was to examine the feasibility and practical application of ultrasound (US) super-resolution imaging (SRI) in evaluating microvasculature and measuring renal allograft function.

Methods:

Sixteen consecutive patients who received kidney transplants were prospectively enrolled. The patients were assigned as normal allograft function (n = 6), and allograft malfunction (n = 10). Localizing each potential contrast signal resulted in super-resolution images (SRI). SRI was utilized to assess micro-vessel density (MVD) and microvascular flow rate, whereas contrast-enhanced (CE) US images were statistically processed to get the time to peak (TTP) and peak intensity. Logistic regression was utilized to evaluate their relationship.

Results:

US SRI may be utilized effectively on allografts to show microvasculature with significantly higher resolution than typical color Doppler flow and CEUS pictures. In the multivariate analysis, MVD and TTP were significant US markers of renal allograft failure (p = 0.031 and p = 0.045). The combination of MVD and TTP produced an AUC of 0.783 (p < 0.05) for allograft dysfunction.

Conclusions:

SRI can accurately portray the microvasculature of renal allografts, while MVD and TTP are appropriate US markers for assessing renal allograft failure.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido