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- W1969076172 abstract "To evaluate the feasibility of the ABAS for the automatic delineation of cardiac structures (pericardium, atria, ventricles) when compared with the manually contoured cardiac structures. Furthermore, we explored using the ABAS contouring as a quality assurance (QA) tool. CT scans and treatment plans from 470 cases were used in this project. Five experienced thoracic radiation oncologists independently delineated the cardiac structures, blinded to submitted contours, following a consistent guideline. A total of 100 such recontoured cases, 20 from each oncologist, were chosen, and their CT images with the cardiac structure contours were used to build the heart atlas libraries for each cardiac structure using commercially available software (MIMvista Corp., Cleveland, OH). The atlas template voxel size was 3×3×3mm3. To quantify the precision of the automatically delineated cardiac structures using ABAS, they were compared with the manually delineated structures from experts. The discrepancies between the manual and automatic contouring were evaluated for 470 cases, and the Dice Similarity Coefficient (DSC), Jaccard Index (JI) and Housdorff Distance (HD) between the two types of contouring were calculated for geometrical comparisons. The fractional volume dose factors, (VD’s, D = 5, 15, 25, 35, 45, 55 Gy) were calculated for pericardium, for dosimetric comparison. To test the feasibility of using the ABAS for quality assurance, we used 373 patient cases with heart contours that result in discrepancy of more than 5% in mean heart dose. DSC between the test and ABAS contours were calculated. We tested the sensitivity of three different thresholds of DSC for picking out these discrepant contours. The results were shown in Table 1. There is minimal difference between different VD’s for automatically and manually delineated pericardium contours. Using threshold value of 0.86, 0.87 and 0.88, the rate with which we can pick out discrepant contours is 0.85, 0.90 and 0.93, respectively. ABAS demonstrates great potentials to accurately delineate the cardiac structures automatically, and it is feasible to be used for cost-effective QA for clinical trials. Extensive investigations are planned to comprehensively evaluate the operating characteristics (e.g., sensitivity and specificity) of ABAS as a QA tool." @default.
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- W1969076172 date "2014-09-01" @default.
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- W1969076172 title "Investigation Into a New Quality Assurance Tool for Radiation Therapy Structure Delineation: Atlas-Based Automatic Segmentation (ABAS) of Cardiac Structures for Non-Small Cell Lung Cancer From RTOG 0617" @default.
- W1969076172 doi "https://doi.org/10.1016/j.ijrobp.2014.05.2139" @default.
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