Affiliation:
1. Department of Radiology, Huashan Hospital, Fudan University, Shanghai, PR China
2. Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
3. Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, PR China
4. Department of Pathology, Huashan Hospital, Fudan University, Shanghai, PR China
Abstract
Background Colorectal cancer is the most common cause of cancer-related death worldwide. Magnetic resonance imaging (MRI) has become a promising alternative method for staging the cancer. Purpose To evaluate parameters of intravoxel incoherent motion (IVIM) and their relationships with clinical-pathologic factors in rectal cancers. Material and Methods A total of 51 patients with histopathologically proven rectal cancer who underwent preoperative pelvic MRI were prospectively enrolled. Parameters (ADC, D, D*, and f) derived from IVIM–diffusion-weighted imaging (DWI) were independently measured by two radiologists. Student’s t-test, receiver operating characteristic curves, and Spearman correlation were used for statistical analysis. Results ADC, D, and D* were significantly higher in pT1–2 tumors than in pT3–4 tumors (1.108 ± 0.233 vs. 0.950 ± 0.176, 0.796 ± 0.199 vs. 0.684 ± 0.114, 0.013 ± 0.005 vs. 0.008 ± 0.003, respectively; P < 0.05). D* exhibited a strong correlation with the tumor stage ( r = −0.675, P < 0.001). In poorly differentiated cluster (PDC) grading, ADC, D*, and f were significantly lower in high-grade tumors than in low-grade tumors (0.905 ± 0.148 vs. 1.064 ± 0.200, 0.008 ± 0.002 vs. 0.011 ± 0.005, and 0.252 ± 0.032 vs. 0.348 ± 0.058, respectively; P < 0.05). The f value exhibited a significantly strong correlation with the PDC grades ( r = −0.842, P < 0.001), and higher sensitivity and specificity (95.2% and 75.9%) than those shown by the ADC, D, and D* values. Conclusion IVIM parameters, especially f, demonstrated a strong correlation with histologic grades and showed a better performance in differentiating between high- and low-grade rectal cancers. These parameters would be helpful in predicting tumor aggressiveness and prognosis.
Subject
Radiology, Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology
Cited by
1 articles.
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