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Accuracy of visual analysis vs. apparent diffusion coefficient quantification in differentiating solid benign and
R Girometti1, M Del Pin, S Pullini
1Institute of Diagnostic Radiology, University of Udine, Azienda Ospedaliero-Universitaria "S. Maria della Misericordia", Udine, Italy. rgirometti@sirm.org
Diffusion-weighted imaging visual analysis (VA) and apparent diffusion coefficient quantification (ADC-Q) showed limited accuracy for solid liver lesions. ADC-Q outperformed VA for hepatocellular carcinoma, while VA was better for metastases.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Accurate assessment of solid focal liver lesions (FLLs) is crucial for patient management.
- Diffusion-weighted imaging (DWI) is a valuable tool, but its interpretation methods vary.
Purpose of the Study:
- To compare the diagnostic accuracy of visual analysis (VA) of DWI and apparent diffusion coefficient quantification (ADC-Q) for solid FLLs.
- To evaluate the effectiveness of these techniques in differentiating benign from malignant lesions.
Main Methods:
- Retrospective analysis of 50 solid FLLs using a 1.5-T MRI system.
- Two radiologists assessed lesions using DWI visual analysis (signal intensity) and ADC quantification.
- Histology or consensus panel diagnosis served as the reference standard.
- Receiver operating characteristic (ROC) curve analysis was performed.
Main Results:
- ADC-Q demonstrated higher overall accuracy (68.0%) compared to VA (52.0%), primarily due to fewer false negatives for hepatocellular carcinoma.
- VA showed higher accuracy for metastases (75.0%) than ADC-Q (66.0%).
- Significant overlap in ADC values and visual features between benign and malignant FLLs was observed.
Conclusions:
- ADC-Q is more accurate than VA for diagnosing hepatocellular carcinoma, whereas VA is more accurate for metastases.
- The overlap in imaging characteristics limits the overall accuracy of both DWI VA and ADC-Q for solid FLLs.
- Further research may be needed to improve the diagnostic performance of DWI in characterizing liver lesions.
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