BACKGROUND: Information that comes from registers made in paper handbook, in a generalized manner, do not have good quality, due to data lost or precarious collection. Computer science makes possible the data be collected in the prospective way, improving the assistance to the patient and the access to information, being useful to scientific research. AIM: 1) Data mining in TEM protocol to verify the non-visible patterns and trends in the collected data; 2) analytic compared studies using the database. METHOD: Analysis was made using SINPE© software and its SINPE©Analisador module. First, data mining studies verified patterns and tendencies which could not be visualized from simple data collection. Second, statistic comparative analysis of results between groups of patients submitted to TEM related to incidental carcinoma, post-operative complications and pre-operative and post-operative staging. RESULTS: The data mining showed the following trends: 1) adenomas larger than 4 cm and sessile aspect represent risk factors for incidental carcinoma; 2) tumors greater than 5 cm, angiolymphatic invasion, villous histology type and compromised surgery margins as risk factors of tumor recurrence. The analytic compared studies concluded that no statistic differences were found in relation to incidental carcinoma, between adenomas smaller and bigger than 4 cm and, also, in relation to post-operative complications between adenoma and adenocarcinoma. The error margin in tumors with ultrasographic staging of uT1, uT2 and uT3 compared to the pathological staging, was higher than in uT0 tumors. CONCLUSIONS: The data mining using the SINPE© Analisador was possible; analytic studies were possible to be done from electronic protocol among groups of patients submitted to TEM, in relationship to incidental carcinoma, pre and post-operative staging and post-operative complications.
Microsurgery; Protocols; Rectal neoplasms
