Oral cancer risk scoring

12) A method of scoring oral cancer lesions comprising:

• a) inputting the following data points into a computer:
• i) two, three or more morphological characteristics from individual oral cells from a patient, said morphological characteristics selected from cell area, nuclear area, cell circularity, cell aspect ratio, and cell roundness;
• ii) two, three or more of gender, age, alcohol intake, and smoking status of said patient;
• iii) two, three or more biomarker levels from individual oral cells from said patient, said biomarker selected from the group consisting of AVB6, EGFR, Ki67, MCM2, beta catenin, EMPPRIN, and CD147;
• and
• b) calculating a risk score based on each of the above inputs, wherein said calculation is based on logistic regression or neural network training using data points from patients with known disease status, said risk score providing at least 3 disease classifications;
• and
• c) displaying said risk score on an output device.

16) A method of detecting oral cancer and scoring oral lesions comprising:

• a) obtaining an oral sample from a patient suspected of having an oral lesion, said oral sample containing a plurality of cells;
• b) determining a cell area, a nuclear area, and a level of AVB6, MCM2, Ki67 and CD147 in each of said plurality of cells;
• c) inputting the following data points into a computer:
• i) said determined cell area and said determined nuclear area for each of said plurality of cells;
• ii) three or more of gender, age, alcohol intake, and smoking status of said patient;
• iii) said determined AVB6, MCM2, Ki67 and CD 147 levels for each of said plurality of cells;
• and
• d) calculating a risk score based on each of the above data points;
• and
• e) displaying said risk score on an output device, wherein said risk score distinguishes at least three disease states.