AI Summary & Key Takeaways
AI InsightUsing theseMRI parameters might decrease unnecessary biopsy rates and complications of biopsies.
📌 3 Key Takeaways
Özet
OBJECTIVES: The aim of this study is to assess magnetic resonance imaging (MRI), diffusion-weighted imaging (DWI), T2-weighted image (T2WI), and apparent diffusion coefficient (ADC) maps’ threshold values before computed tomography (CT)-guided transthorasicbiopsy in solitary pulmonary nodules (SPN) by describing tumoral cell density.MATERIALS AND METHODS: Patients who had SPN were prospectively evaluated with MRI (T1WI, T2WI) and DWI (b=0, b=500,b=1000).The ADC maps were created for each patient. Before the biopsy, lesion muscle ratios (LMR) at T2WI, ADC value, and lesionspinal cord ratio at each b values were noted. The measurements were correlated with the histopathological results.RESULTS: A total of 53 patients were included in the study: 30.2% (n=16) were female, and 69.8% (n=37) were male. Among them, 17lesions (32.1%) were benign, and 36 lesions (67.9%) were malignant. The age varied between 40 and 82 years, with a mean of 61.7±9.1years. The SPN diameters were between 10 and 30 mm, and the median was 24 mm. The LSR0 and LMR values were not statisticallysignificant in detecting malignancy. LSR500 >0.53 value can predict malignancy with 100% sensitivity and 70.6% specificity. LSR1000>0.53 can predict malignancy with 88.9% sensitivity and 88.2% specificity. Setting the cut-off value at 0.9×10-3, the ADC values had asensitivity of 72.2% and a specificity of 88.2% for predicting malignancy.CONCLUSION: For SPN follow-up, a new following-up protocol can be safely established using DWI and ADC mapping. Using theseMRI parameters might decrease unnecessary biopsy rates and complications of biopsies.