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Abstract #3456

Histogram analysis of apparent diffusion coefficient for non-small cell lung cancer: correlation with pathological grade.

Mariko Doai1, Naoko Tsuchiya1, Hisao Tonami1, and Katsuo Usuda2

1Radiology, Kanazawa Medical University, Kahoku, Japan, 2Thoracic surgery, Kanazawa Medical Universiy, Kahoku, Japan

The purpose of this study is to investigate the application of histogram analysis of ADC in determining the pathological grade of non-small cell lung cancer (NSCLC). The study included 54 patients and the histogram parameters were correlated with pathological grades. For the parameters that were significantly different between high- and low-grade tumors, ROC curve analysis was performed. The 95th percentile of ADC was the most beneficial parameter for distinguishing high-from low-grade tumors. ADC histogram analysis on the basis of the entire tumor volume is useful for predicting the pathological grade of NSCLC.

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