Grading of clear cell renal cell carcinoma by using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging

Diffusion-related parameters (ADC, DDC, ADC<sub>slow</sub> and α) could be used to distinguish between low- and high-grade ccRCC. The α derived from the stretched-exponential model may be the most promising parameter for grading ccRCC.

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Publication Details

Journal
Frontiers in Oncology
Published
2024-10-31
DOI
https://doi.org/10.3389/fonc.2024.1456701
Citations
1
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.40

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article

Grading of clear cell renal cell carcinoma by using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging

Lingdian Wang, Jing Zhou, Meiyun Wang, Yan Bai et al.
1 citations
Frontiers in Oncology
MRI in cancer diagnosis
0.40
article

Grading of clear cell renal cell carcinoma by using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging

Lingdian Wang, Jing Zhou, Meiyun Wang, Yan Bai, Taiyuan Liu, Wenhui Wang
article en
1 citations

Abstract

Diffusion-related parameters (ADC, DDC, ADC<sub>slow</sub> and α) could be used to distinguish between low- and high-grade ccRCC. The α derived from the stretched-exponential model may be the most promising parameter for grading ccRCC.

Frontiers in OncologyVol. 14
Zhengzhou University (CN), Henan Academy of Sciences (CN), Henan Provincial People's Hospital (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 33%
MRI in cancer diagnosis
0.40
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