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.
