|Awarded On||February 21, 2018|
|Title||Novel Computer Aided Diagnosis System For Early Detection Of Oral Cancer Based On Quantitative Autofluorescence Imaging|
|Award Mechanism||Individual Investigator Research Awards for Prevention and Early Detection|
|Institution/Organization||Texas A&M Engineering Experiment Station|
|Principal Investigator/Program Director||Javier Jo|
|Cancer Sites||Head and Neck|
The American Cancer Society estimates that 48,330 new cases of cancer in the oral cavity and pharynx will be reported this year. When diagnosed at early stages, the 5-year survival rate is 83%. However, when diagnosed at intermediate or advance stages, the 5-year survival rate drops to 62% and 38%, respectively. In addition, while early stage treatment may only require minor surgery to remove the localized tumor, later stage treatment could require surgical removal of parts of the face and neck followed by reconstructive surgery, hence drastically reducing the patient’s quality of life. Therefore, early detection of oral cancer holds great promise for improving both the survival rate and the...