Using GIS for spatial analysis of rectal lesions in the human body

• Published in: International journal of health geographics Vol. 6; no. 1; p. 11
• Main Authors: Garb, Jane L, Ganai, Sabha, Skinner, Ric, Boyd, Christopher S, Wait, Richard B
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 15.03.2007; BioMed Central; BMC
• Subjects: Analysis; Distribution; Geographic information systems; Geographic Information Systems - instrumentation; Humans; Imaging, Three-Dimensional - instrumentation; Medical statistics; Methodology; Microsurgery; Proctoscopy - methods; Rectal diseases; Rectal Neoplasms - diagnosis; Rectal Neoplasms - pathology; Rectal Neoplasms - surgery; Rectum - anatomy & histology; Rectum - pathology; Rectum - surgery; Retrospective Studies; Statistics; United States
• ISSN: 1476-072X; 1476-072X
• DOI: 10.1186/1476-072X-6-11

Geographic Information Systems (GIS) have been used in a wide variety of applications to integrate data and explore the spatial relationship of geographic features. Traditionally this has referred to features on the surface of the earth. However, it is possible to apply GIS in medicine, at the scale of the human body, to visualize and analyze anatomic and clinical features. In the present study we used GIS to examine the findings of transanal endoscopic microsurgery (TEM), a minimally-invasive procedure to locate and remove both benign and cancerous lesions of the rectum. Our purpose was to determine whether anatomic features of the human rectum and clinical findings at the time of surgery could be rendered in a GIS and spatially analyzed for their relationship to clinical outcomes. Maps of rectal topology were developed in two and three dimensions. These maps highlight anatomic features of the rectum and the location of lesions found on TEM. Spatial analysis demonstrated a significant relationship between anatomic location of the lesion and procedural failure. This study demonstrates the feasibility of rendering anatomical locations and clinical events in a GIS and its value in clinical research. This allows the visualization and spatial analysis of clinical and pathologic features, increasing our awareness of the relationship between anatomic features and clinical outcomes as well as enhancing our understanding and management of this disease process.