Liver Fibrosis Assessment by Viewing Sinusoidal Capillarization: US Molecular Imaging versus Two-dimensional Shear-Wave Elastography in Rats.


Journal

Radiology
ISSN: 1527-1315
Titre abrégé: Radiology
Pays: United States
ID NLM: 0401260

Informations de publication

Date de publication:
08 2022
Historique:
pubmed: 4 5 2022
medline: 28 7 2022
entrez: 3 5 2022
Statut: ppublish

Résumé

Background US elastography is a first-line assessment of liver fibrosis severity; however, its application is limited by its insufficient sensitivity in early-stage fibrosis detection and its measurements are affected by inflammation. Purpose To assess the sensitivity of US molecular imaging (USMI) in early-stage liver fibrosis detection and to determine whether USMI can specifically distinguish fibrosis regardless of inflammation when compared with two-dimensional (2D) shear-wave elastography (SWE). Materials and methods USMI and 2D SWE were performed prospectively (January to June 2021) in 120 male Sprague-Dawley rats with varying degrees of liver fibrosis and acute hepatitis and control rats. Liver sinusoidal capillarization was viewed at CD34-targeted USMI and quantitatively analyzed by the normalized intensity difference (NID). Data were compared by using a two-sided Student

Identifiants

pubmed: 35503015
doi: 10.1148/radiol.212325
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

473-482

Commentaires et corrections

Type : CommentIn

Auteurs

Xiaoyan Miao (X)

From the Department of Ultrasound, Laboratory of Novel Optoacoustic (Ultrasonic) Imaging, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Tingting Sha (T)

From the Department of Ultrasound, Laboratory of Novel Optoacoustic (Ultrasonic) Imaging, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Wei Zhang (W)

From the Department of Ultrasound, Laboratory of Novel Optoacoustic (Ultrasonic) Imaging, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Huichao Zhou (H)

From the Department of Ultrasound, Laboratory of Novel Optoacoustic (Ultrasonic) Imaging, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Chen Qiu (C)

From the Department of Ultrasound, Laboratory of Novel Optoacoustic (Ultrasonic) Imaging, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Huan Deng (H)

From the Department of Ultrasound, Laboratory of Novel Optoacoustic (Ultrasonic) Imaging, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Yujia You (Y)

From the Department of Ultrasound, Laboratory of Novel Optoacoustic (Ultrasonic) Imaging, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Jie Ren (J)

From the Department of Ultrasound, Laboratory of Novel Optoacoustic (Ultrasonic) Imaging, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Xinling Zhang (X)

From the Department of Ultrasound, Laboratory of Novel Optoacoustic (Ultrasonic) Imaging, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Rongqin Zheng (R)

From the Department of Ultrasound, Laboratory of Novel Optoacoustic (Ultrasonic) Imaging, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

Tinghui Yin (T)

From the Department of Ultrasound, Laboratory of Novel Optoacoustic (Ultrasonic) Imaging, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.

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Classifications MeSH