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Abstract #4808

Prediction of Disease Specific Survival in Patients with Head and Neck Cancer Using Dynamic MRI

Sanjeev Chawla1, Sungheon Kim2, Laurie A. Loevner1, Harry Quon3, Wei T. Hwang4, G Weinstein5, A Chalian1, Harish Poptani1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States; 2Radiology, New York University, New York, NY, United States; 3Radiation Oncology, University of Pennsylvania, Philadelphia, PA, United States; 4Biostatistics, University of Pennsylvania, Philadelphia, PA, United States; 5Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, United States


We evaluated the potential of pretreatment volume transfer constant (Ktrans) from DCE-MRI in predicting disease specific survival in patients with squamous cell carcinomas of head and neck. Sixty-six patients underwent chemo-radiation therapy and were followed up clinically (median follow up time for the surviving patients was 24.0 months). Pretreatment median Ktrans was used as threshold value to separate patients into two groups (above and below the threshold value). The survival for patients with higher pre-treatment Ktrans was significantly prolonged compared to patients with lower Ktrans value indicating that Ktrans can be used to predict survival outcome in these patients.

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