Abstract #3293

Apparent diffusion coefficient histogram shape analysis for monitoring early response in patients with advanced cervical cancers undergoing concurrent chemoradiotherapy

Zhengyang Zhou¹, Jian He², Weibo Chen³, and Lijing Zhu⁴

¹Department of Radiology, Drum Tower Hospital, School of Medicine, Nanjing University, Nanjing, People's Republic of China, ²Department of Radiology, Drum Tower Hospital, School of Medicine, Nanjing University, ³Philips Healthcare, Shanghai, People's Republic of China, ⁴Department of Oncology, Drum Tower Hospital, School of Medicine, Nanjing University

Thirty-two patients with advanced cervical cancer underwent DWI before CCRT, at the end of 2nd and 4th week during CCRT and immediately after CCRT completion to explore whether ADC histogram shape could assess the treatment response. Whole lesion ADC histogram analysis generated several histogram shape including skewness, kurtosis, s-sDav, width, standard deviation, as well as first-order entropy and second-order entropies. Skewness and kurtosis both showed high early decline rate at the end of 2nd week of CCRT. All entropies kept decreasing since 2 weeks after CCRT. ADC histogram shape analysis held the potential in monitoring early tumor response during CCRT.

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