Title:Intravoxel Incoherent Motion Diffusion-weighted Magnetic Resonance Imaging
combined with Texture Analysis in Predicting the Histological Grades of Rectal
Adenocarcinoma
Volume: 20
Author(s): Fei Gao, Jie Zhou, Wuteng Cao, Jiaying Gong, Peipei Wang, Chuanbin Wang, Xin Fang and Zhiyang Zhou*
Affiliation:
- Jinan University, Guangzhou, 510632, PR China
- Department of Radiology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yatsen
University, Guangzhou, Guangdong, 510655, China
Keywords:
Rectal Carcinoma, Degree of differentiation, Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging, Magnetic resonance imaging, Texture analysis, Rectal adenocarcinoma.
Abstract:
Purpose:
To evaluate the predictive value of 3.0T MRI Intravoxel Incoherent motion diffusion-weighted magnetic resonance imaging (IVIM-DWI)
combined with texture analysis (TA) in the histological grade of rectal adenocarcinoma.
Methods:
Seventy-one patients with rectal adenocarcinoma confirmed by pathology after surgical resection were collected retrospectively. According to
pathology, they were divided into a poorly differentiated group (n=23) and a moderately differentiated group (n=48). The IVIM-DWI parameters
and TA characteristics of the two groups were compared, and a prediction model was constructed by multivariate logistic regression analysis. ROC
curves were plotted for each individual and combined parameter.
Results:
There were statistically significant differences in D and D* values between the two groups (P < 0.05). The three texture parameters
SmallAreaEmphasis, Median, and Maximum had statistically significant differences between groups (P = 0.01, 0.004, 0.009, respectively). The
logistic regression prediction model showed that D*, the median, and the maximum value were significant independent predictors, and the AUC of
the regression prediction model was 0.860, which was significantly higher than other single parameters.
Conclusion:
3.0T MRI IVIM-DWI parameters combined with TA can provide valuable information for predicting the histological grades of rectal
adenocarcinoma one week before the operation.
