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| Comparison of the automatic delineation of two kinds of stomach by the AccuContour software for patients with thoracic and abdominal tumors |
| QIN Wei1, ZHUANG Jieying1, SHI Feiyue1,2, ZHAO Ziting3, WANG Min1, ZHAO Huanyu1, WEI Xiaowei1 |
1. Radiation Therapy Center, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006 China;
2. Center of Medical Physics with Nanjing Medical University, Nanjing 210029 China;
3. Department of Medical Equipment, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006 China |
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Abstract Objective To delineate the normal stomach and thoracic stomach structure of patients with thoracic and abdominal tumor automatically using the AccuContour software based on deep learning in order to evaluate and compare the results.Methods Thirty-six patients with choracic and abdominal tumors were chosen for this study, and were divided into two groups. Group A included 18 patients with normal stomach, and group B included the other 18 patients undergoing esophageal carcinoma operation with thoracic stomach. The stomach structures were automatically delineated by the AccuContour software in the simulation CT series. Statistical analysis was carried out to data of the differences in volume, position and shape between the automatic and manual delineations, and data of the two kinds of stomach were compared.Results For group A, the differences in volume (ΔV%) between the automatic and manual delineations was (-1.82 ±9.65)%, the total position difference (ΔL) was (0.51 ±0.37) cm, the values of dice similarity coefficient (DSC) was 0.89 ±0.04. There were significant differences in values of ΔV%、ΔL and DSC (P < 0.05).Conclusion The used version of AccuContour software in this study had a satisfactory result of automatic delineation of the normal stomach structure larger than certain volume, but could not delineate the thoracic stomach structures effectively for patients undergoing esophageal carcinoma operation.
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Received: 22 January 2021
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