Author/Authors :
Lin, Ting-Ting Shandong University - Jinan - Shandong, China , Li, Xin-Xiang Department of Radiology - The First Affiliated Hospital of USTC - Division of Life Sciences and Medicine - University of Science and Technology of China - Hefei - Anhui, China , Lv, Wei-Fu Department of Radiology - The First Affiliated Hospital of USTC - Division of Life Sciences and Medicine - University of Science and Technology of China - Hefei - Anhui, China , Dong, Jiang-Ning Department of Radiology - The First Affiliated Hospital of USTC - Division of Life Sciences and Medicine - University of Science and Technology of China - Hefei - Anhui, China , Wei, Chao Department of Radiology - The First Affiliated Hospital of USTC - Division of Life Sciences and Medicine - University of Science and Technology of China - Hefei - Anhui, China , Wang, Ting-Ting Department of Radiology - The First Affiliated Hospital of USTC - Division of Life Sciences and Medicine - University of Science and Technology of China - Hefei - Anhui, China , Wang, Chuan-Bin Department of Radiology - The First Affiliated Hospital of USTC - Division of Life Sciences and Medicine - University of Science and Technology of China - Hefei - Anhui, China , Zhang, Ping Department of Radiology - The First Affiliated Hospital of USTC - Division of Life Sciences and Medicine - University of Science and Technology of China - Hefei - Anhui, China
Abstract :
This study sought to determine the diagnostic value of combined intravoxel incoherent motion (IVIM) diffusionweighted magnetic resonance imaging (MRI) with diffusion tensor imaging (DTI) in predicting parametrial infiltration (PMI) in
patients with cervical cancer. Materials and Methods. We enrolled 65 patients with cervical cancer confirmed by radical hysterectomy (25 PMI-negative and 40 PMI-positive) who underwent IVIM and DTI pretreatment. 0e parameters of IVIM (ADC,
D, D ∗, and f ) and DTI (average diffusion coefficient (DCavg) and fractional anisotropy (FA)) were recorded by two observers. All
parameter differences were tested, and the receiver operating characteristic (ROC) curves were generated to estimate the diagnostic performance of significant metrics and their combinations. Results. Compared to the PMI-negative group, the PMIpositive group had significantly lower D (0.632 ± 0.017 vs. 0.773 ± 0.024, p < 0.001) and lower FA (0.073 ± 0.002 vs. 0.085 ± 0.003,
p = 0.003). 0e area under the ROC curve (AUC) of D and FA was 0.801 and 0.726, respectively, and the combination of D and FA
improved the AUC to 0.931, with a sensitivity and specificity of 80.0% and 97.5%, respectively. Conclusion. D and FA values could
be used to help diagnose PMI in patients with cervical cancer. The combination of IVIM and DTI was more valuable than either
option alone.
Keywords :
Tensor , MRI , IVIM , PMI