It has been seen that there is a clinically significant variation in the volume calculated across different planning systems for the same digital imaging and communication (DICOM) contours. Aim: The purpose of this study is to investigate the difference in volumes of organs at risk when the structure sets were exported from the Eclipse ((Palo Alto, USA Version 10.0) to XIO CMS (Electa, Crawley, UK Version 4.40.00) treatment planning system (TPS) and identify how the differences occur. Methods: We prospectively analyzed the volumes of organs at risk from computerized tomography (CT) data of 54 patients. Head and neck and brain tumors were taken for this study and contoured on Eclipse treatment planning system (TPS) after importing images from CT. These contoured images were then exported using radiotherapy DICOM transfer facility to XIO CMS planning system and compared the contoured volumes with Eclipse TPS structured volumes. Results: Our analysis showed that the differences in calculated volumes of the contours for the patients between the two planning systems can be large. Mixed results are shown for different organs with the absolute volume difference ranging from-0.25 cc to 319.73 cc. These results clearly shown that the two TPS interprets the contours differently when calculating the volume, and there is a closer match with the theoretical calculated volumes with XIO CMS calculated volumes. Conclusion: Observed discrepancies were consistent between the two planning systems. This impact of contouring variability could play a role on plan quality metrics which is used as criteria for clinical trial protocol compliance.
Computed Tomography (CT) has become the most important imaging technique for evaluation of the abdomen and pelvis. CT is used to examine patients with acute abdominal complaints, intestinal obstruction, inflammatory conditions, known or suspected malignancy, abdominal and pelvic trauma. Recent technological advances and accumulated experience in image interpretation suggest that substantial information regarding colorectal lesions can be obtained by CT. This study aims at evaluating the accuracy of CT in characterizing large bowel lesions as benign/inflammatory or malignant conditions, and in suspected cases of malignancy its accuracy in tumor staging.
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