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Related Experiment Video

Updated: Feb 14, 2026

Author Spotlight: A Non-Invasive Tool to Assess and Differentiate Fat Patterns in Liver Using 3D Dixon MRI

Author Spotlight: A Non-Invasive Tool to Assess and Differentiate Fat Patterns in Liver Using 3D Dixon MRI

Published on: October 20, 2023

Fat status detection and histotypes differentiation in solid renal masses using Dixon technique.

Jun Sun¹, Zhaoyu Xing², Jie Chen¹

¹Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, China.

Clinical Imaging

|February 8, 2018

Summary

The Dixon technique effectively detects fat in renal masses, differentiating between angiomyolipoma (AML) and clear cell renal cell carcinoma (RCC) using fat fraction (FF) and signal intensity index (SII). This aids in classifying tumor histotypes.

Keywords:

Dixon technique Fat status Histotype Solid renal masses

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Last Updated: Feb 14, 2026

Author Spotlight: A Non-Invasive Tool to Assess and Differentiate Fat Patterns in Liver Using 3D Dixon MRI

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Early Detection of Drug-Induced Renal Hemodynamic Dysfunction Using Sonographic Technology in Rats

Early Detection of Drug-Induced Renal Hemodynamic Dysfunction Using Sonographic Technology in Rats

Published on: March 11, 2016

Area of Science:

Radiology
Oncology
Medical Imaging

Background:

Renal masses require accurate characterization for appropriate management.
Differentiating histotypes of renal masses is crucial for treatment planning.

Purpose of the Study:

To evaluate the utility of the Dixon technique for detecting fat content in renal masses.
To differentiate between various histotypes of renal masses based on fat detection.

Main Methods:

A cohort of 134 solid renal masses was analyzed.
Dixon technique was employed to assess fat status.
Signal intensity index (SII) and fat fraction (FF) were calculated and compared across histotypes.

Main Results:

Fat was detected in angiomyolipoma (AML), clear cell renal cell carcinoma (RCC), and papillary RCC.
A fat fraction (FF) of 16.8% distinguished AML from clear cell RCC.
A signal intensity index (SII) of 9.2% differentiated clear cell RCC from other non-clear cell RCC and rare benign histotypes.

Conclusions:

The Dixon technique is a successful method for evaluating fat status in renal masses.
Dixon technique aids in differentiating histotypes of renal masses, supporting diagnostic accuracy.