Because of different subtypes of RCC have different prognoses and respond differently to targeted therapies, accurate identification of the specific diagnosis prior to treatment is important. In this study, our results demonstrate that the combination of r-FOV DWI and the whole-lesion histogram analysis method may help in the interpretation of DWI of small renal masses and determine the optimal ADC parameter for quantitative assessment. The 75th percentile ADC value was more reliable than other histogram parameter values in distinguishing clear cell from non-clear cell RCCs with high sensitivity and specificity, potentially improving the accuracy of pretreatment diagnosis and selection of clinical therapy.
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