Diagnostic Value of Combined Intravoxel Incoherent Motion Diffusion-Weighted Magnetic Resonance Imaging with Diffusion Tensor Imaging in Predicting Parametrial Infiltration in Cervical Cancer
| Autor: | Chao Wei, Xin-Xiang Li, Ping Zhang, Ting-ting Lin, Ting-Ting Wang, Chuan-Bin Wang, Wei-Fu Lv, Jiang-Ning Dong |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Article Subject Uterine Cervical Neoplasms Hysterectomy 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Fractional anisotropy medicine Image Processing Computer-Assisted Medical technology Humans Radiology Nuclear Medicine and imaging R855-855.5 Intravoxel incoherent motion Aged Cervical cancer Aged 80 and over Receiver operating characteristic medicine.diagnostic_test Parametrial business.industry Magnetic resonance imaging Middle Aged medicine.disease Diffusion Magnetic Resonance Imaging Diffusion Tensor Imaging 030220 oncology & carcinogenesis Female business Nuclear medicine Infiltration (medical) Diffusion MRI Research Article |
| Zdroj: | Contrast Media & Molecular Imaging, Vol 2021 (2021) Contrast Media & Molecular Imaging |
| ISSN: | 1555-4317 1555-4309 |
| Popis: | Objective. This study sought to determine the diagnostic value of combined intravoxel incoherent motion (IVIM) diffusion-weighted 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. The 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 PMI-positive 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 ). The 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. |
| Databáze: | OpenAIRE |
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