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Application of Field-of-View Optimized and Constrained Undistorted Single Shot (FOCUS) with Intravoxel Incoherent
Yipeng Cheng1, Huijie Jiang2, Hui Wang2
1Department of Magnetic Resonance Imaging, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086 Heilongjiang, China.
Field-of-view (FOV) optimized and constrained undistorted single shot (FOCUS) with Intravoxel Incoherent Motion (IVIM) MRI effectively predicts rectal cancer histologic grade. The perfusion fraction (f) parameter showed high accuracy in differentiating tumor grades.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Locally advanced rectal cancer (LARC) requires accurate grading for treatment planning.
- Histologic grading is crucial but invasive methods carry risks.
- Non-invasive imaging techniques are needed for precise tumor characterization.
Purpose of the Study:
- To assess the efficacy of FOCUS with IVIM MRI at 3T for grading LARC.
- To determine if IVIM parameters can differentiate tumor grades non-invasively.
Main Methods:
- Retrospective analysis of 88 LARC patients undergoing 3T MRI.
- Acquisition of FOCUS DWI and FOCUS IVIM sequences.
- Analysis of apparent diffusion coefficient (ADC) and IVIM parameters (D, D*, f) in tumor and normal rectal wall.
- Comparison of normalized parameters (ADC_NOR, D_NOR, D*_NOR, f_NOR) between well/moderately and poorly differentiated groups.
Main Results:
- Tumor D and f parameters positively correlated with tumor grade (p < 0.001).
- All normalized parameters (ADC_NOR, D_NOR, D*_NOR, f_NOR) also correlated with tumor grade (p ≤ 0.007).
- The perfusion fraction (f_tumor) was the best discriminator, with an AUC of 0.927, achieving 88.9% sensitivity and 100% specificity at a 22.0% cutoff.
Conclusions:
- FOCUS IVIM-derived parameters, especially normalized ones, are valuable for predicting rectal cancer histologic grade.
- This non-invasive method aids in precise tumor grading and treatment strategy.
- The perfusion fraction (f) shows significant potential for differentiating tumor grades in LARC.
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