A Purdue University mechanical engineer and his international collaborators have developed a patent-pending method and algorithm to predict the recurrence of prostate cancer in patients treated by radiation therapy.
Hector Gomez, a professor in Purdue University’s School of Mechanical Engineering, said data indicates the model-based predictors can identify relapsing patients a median of 14.8 months earlier than the current clinical practice.
Gomez said radiation is an effective treatment for patients of all ages to treat tumors ranging in risk from low to very high. According to Johns Hopkins Medicine, between 20% to 30% of patients will experience a recurrence after the five-year period, post-therapy.
“The detection of prostate cancer recurrence after radiation relies on the measurement of a sustained rise of the serum levels of a substance called prostate-specific antigen, or PSA,” Gomez said. “However, the recurrence may take years to occur, which delays the delivery of a secondary treatment to patients with recurring tumors.”

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