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Correlation Between Intravoxel Incoherent Motion and Prognostic Factors of Rectal Cancer / 中国医学影像学杂志
Article in Zh | WPRIM | ID: wpr-609632
Responsible library: WPRO
ABSTRACT
Purpose To explore the correlation between quantitative parameters from intravoxel incoherent motion (IVIM) with prognostic factors of rectal adenocarcinoma.Materials and Methods Eighty-six patients with rectal adenocarcinoma who were underwent surgery without neoadjuvant therapy in our hospital between September 2015 and July 2016 were selected in this retrospective study.The image data included multiple b-values diffusion weighted imaging (DWI) examination and the corresponding D,D* and f values of the lesions.Relationships between the quantitative parameters and tumor pathology indexes including histological differentiation grade,tumor T/N stage,lymphangiovascular invasion state,the expression level of epidermal growth factor receptor (EGFR) and human epidermal growth factor receptor-2 (Her-2) were assessed.Results The average D values of different differentiation degree (high,middle and low) of rectal adenocarcinoma were (0.541±0.093)×10 3mm2/s,(0.490±0.156)×10-3mm2/s and (0.342 ± 0.147)× 10-3 mm2/s,and the difference was statistically significant (P<0.05).TheD values were significantly different between the lymphangiovascular invasion and non invasion state [(0.511 ±0.154)× 10-3 mm2/s vs (0.387±0.130)×10-3 mm2/s,P<0.05)].However,there were no significant differences in the mean D,D* and f values among different tumor T/N stage (P>0.05).The average f value of EGFR or Her-2 high expression group was higher than that of low expression group (0.379±0.076 vs 0.298±0.099,P<0.01;0.356±0.097 vs 0.298±0.098,P<0.05,respectively).Conclusion Quantitative parameters of IVIM in rectal adenocarci-noma can be used as noninvasive imaging biomarkers to predict the biologic behavior of tumor and the prognosis of the patients.
Key words
Full text: 1 Index: WPRIM Type of study: Observational_studies / Prognostic_studies Language: Zh Journal: Chinese Journal of Medical Imaging Year: 2017 Type: Article
Full text: 1 Index: WPRIM Type of study: Observational_studies / Prognostic_studies Language: Zh Journal: Chinese Journal of Medical Imaging Year: 2017 Type: Article