Quantitative assessment of inflammation and evaluation of spatial heterogeneity for non-alcoholic fatty liver disease in mice based on iron-adjustive T1.

Authors:
Li L; Liao B; Cai H; Zhang Y; Deng K and 6 more

Journal:
Quant Imaging Med Surg

Publication Year: 2023

DOI:
10.21037/qims-23-782

PMCID:
PMC10784091

PMID:
38223091

Journal Information

Full Title: Quant Imaging Med Surg

Abbreviation: Quant Imaging Med Surg

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Radiology, Nuclear Medicine & Medical Imaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-23-782/coif). The authors have no conflicts of interest to declare. KD is an employee in the Clinical & Technical Support team of Philips. She has a research partnership with the First Affiliated Hospital, Sun Yat-sen University. In this study, she provided technical support, like the MR scanning, post-processing, etc. The other authors have no conflicts of interest to declare."

Evidence found in paper:

"Funding: This work was supported by the National Natural Science Foundation of China ( Nos. 82271958 and 82001882 ), and the Natural Science Foundation of Guangdong Province ( No. 2021A1515011442 )."

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Open Access
Paper is freely available to read
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Tool: rtransparent

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Last Updated: Aug 05, 2025