Mathematical algorithms 3D-reconstruction techniques and artificial intelligence are a current line of innovation in colorectal surgical oncology. The objective of this study is to show the initial experience of a 3D image processing and reconstruction system to perform complete mesocolic excision and D3-lymphadenectomy in colon cancer. It is applied to a splenic flexure neoplasm and in a right colon cancer with suspected retroperitoneal infiltration. 3D image processing and reconstruction was employed to delimit 10 cm proximal and distal intestinal margins to the tumor and define its corresponding vascularization. In right colon cancer it showed position and exact dimensions of D3-lymphadenectomy area and possible retroperitoneal fascia infiltration. 3D image processing and reconstruction allows to obtain valuable information from computerized tomography scan. It could be employed during surgical strategy planification to improve oncological results and reduce intraoperative complications.
Keywords: Cirugía colorrectal; Colonic neoplasm; Colorectal surgery; Linfadenectomía; Lymph node excision; Neoplasia de colon; Reconstrucción tridimensional; Three-dimensional imaging.
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