Abstract #2650

Apparent Diffusion Coefficient Features Predict Response to Chemoradiation Treatment of Locally Advanced Cervical Cancer

Daisy Q Huang¹, Daniel Margolis¹, Daniel Grossi Marconi², José Humberto Tavares Guerreiro Fregnani², Ana Karina Borges ², FR Lucchesi², Rodrigo Rossini ², Pechin Lo³, Bharath Ramakrishna³, Grace Lee³, and Mitchell Kamrava⁴

¹Radiology, Ronald Reagon UCLA Medical Center, Los Angeles, CA, United States, ²Radiation Oncology, Barretos Cancer Hospital, Barretos, Brazil, ³Radiological Sciences, Ronald Reagon UCLA Medical Center, Los Angeles, CA, United States, ⁴Radiation Oncology, Ronald Reagon UCLA Medical Center, Los Angeles, CA, United States

FDG-PET is optimal for evaluating and predicting treatment response in cervical cancer; however, developing countries where cervical cancer remains prevalent are more likely to have access to MR than radiotracer. Our prospective study explores the utility of MR for predicting treatment response. Patients with locally advanced cervical cancer underwent MR at baseline, midway through chemoradiation and after chemoradiation. Patients demonstrated robust tumor volume reduction (>93%) and increase in ADC values after treatment. The discriminatory value of the standard deviation of ADC at baseline suggests that tumor heterogeneity may be predictive of response, supporting MR’s role in identifying more aggressive tumors.

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