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Magnetic Resonance Imaging of Part-solid Nodules: A Pilot Study
Chi Wan Koo1, Darin B White, Ravi K Lingineni
1*Department of Radiology, Mayo Clinic, Rochester, MN †Department of Radiology, New York University Langone Medical Center, New York, NY ‡Eastern Virginia Medical School, Norfolk, VA.
Magnetic resonance imaging (MRI) using apparent diffusion coefficient (ADC) values can help differentiate benign from malignant pulmonary nodules. ADC and T2* values also correlate with adenocarcinoma subtypes, aiding in diagnosis.
Area of Science:
- Pulmonary imaging
- Radiology
- Oncology
Background:
- Part-solid pulmonary nodules require accurate characterization to distinguish benign from malignant lesions.
- Conventional imaging techniques like CT and PET/CT have limitations in differentiating nodule types.
- Magnetic resonance imaging (MRI) offers potential for non-invasive assessment of pulmonary nodules.
Purpose of the Study:
- To evaluate if MRI characteristics can differentiate benign from malignant part-solid pulmonary nodules.
- To assess the ability of MRI to predict the aggressiveness of malignant nodules.
- To compare MRI-derived parameters with conventional imaging metrics (CT, PET/CT).
Main Methods:
- A pilot study involving 28 participants with 32 biopsy-proven lesions.
- 3-Tesla (3T) unenhanced pulmonary MRI was performed.
- Quantitative parameters including apparent diffusion coefficient (ADC) and T2* values were calculated.
- MRI parameters were correlated with histopathology, SUVmax, and Hounsfield units (HU).
Main Results:
- Apparent diffusion coefficient (ADC) values significantly correlated with malignancy (P<0.05).
- An ADC threshold of ≥1.28 μm/ms predicted malignancy with 83.3% sensitivity.
- ADC and T2* values correlated with specific adenocarcinoma subtypes (P<0.05).
- T1 and T2 values correlated with Hounsfield unit measurements of the nodule and its solid components.
Conclusions:
- Quantitative ADC values from 3T MRI show promise in discriminating benign from malignant part-solid pulmonary nodules.
- ADC and T2* values are associated with adenocarcinoma subtypes.
- MRI parameters demonstrated correlations with CT-based measurements (HU), but not with SUVmax.
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