Your browser doesn't support javascript.
loading
Clinical application of MRI histogram in evaluation of muscle fatty infiltration / 北京大学学报(医学版)
Journal of Peking University(Health Sciences) ; (6): 830-834, 2016.
Article in Chinese | WPRIM | ID: wpr-502820
ABSTRACT

Objective:

To describe a method based on analysis of the histogram of intensity values pro-duced from the magnetic resonance imaging (MRI)for quantifying the degree of fatty infiltration.

Methods:

The study included 25 patients with dystrophinopathy.All the subjects underwent muscle MRI test at thigh level.The histogram Mvalues of 250 muscles adjusted for subcutaneous fat,representing the degree of fatty infiltration,were compared with the expert visual reading using the modified Mercuri scale.

Results:

There was a significant positive correlation between the histogram Mvalues and the scores of visual reading (r =0.854,P <0.001).The distinct pattern of muscle involvement detected in the pa-tients with dystrophinopathy in our study of histogram M values was similar to that of visual reading and results in literature.The histogram M values had stronger correlations with the clinical data than the scores of visual reading as followsthe correlations with age (r =0.730,P <0.001 )and (r =0.753, P <0.001);with strength of knee extensor (r =-0.468,P =0.024)and (r =-0.460,P =0.027) respectively.Meanwhile,the histogram Mvalues analysis had better repeatability than visual reading with the interclass correlation coefficient was 0.998 (95% CI0.997 -0.998,P <0.001)and 0.958 (95%CI0.946 -0.967,P <0.001)respectively.

Conclusion:

Histogram Mvalues analysis of MRI with the advantages of repeatability and objectivity can be used to evaluate the degree of muscle fatty infiltration.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Peking University(Health Sciences) Year: 2016 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Peking University(Health Sciences) Year: 2016 Type: Article