| Chen Kaiqiang,Chen Wenjuan,Ni Xiaolei,et al.Systematic evaluation of atlas-based autosegmentation (ABAS) software for adaptive radiation therapy in cervical cancer[J].Chinese Journal of Radiological Medicine and Protection,2015,35(2):111-113 |
| Systematic evaluation of atlas-based autosegmentation (ABAS) software for adaptive radiation therapy in cervical cancer |
| Received:June 25, 2014 |
| DOI：10.3760/cma.j.issn.0254-5098.2015.02.008 |
| KeyWords:ABAS software Cervical cancer Adaptive radiation therapy |
| FundProject:福建省卫生厅青年课题(2012-1-7) |
| Author Name | Affiliation | E-mail | | Chen Kaiqiang | Department of Radiation Oncology, Fujian Tumor Hosptial, Fuzhou 350014, China | | | Chen Wenjuan | Department of Radiation Oncology, Fujian Tumor Hosptial, Fuzhou 350014, China | chenwj92@126.com | | Ni Xiaolei | Department of Radiation Oncology, Fujian Tumor Hosptial, Fuzhou 350014, China | | | Li Qixin | Department of Radiation Oncology, Fujian Tumor Hosptial, Fuzhou 350014, China | | | Bai Penggang | Department of Radiation Oncology, Fujian Tumor Hosptial, Fuzhou 350014, China | | | Zhang Xiuchun | Department of Radiation Oncology, Fujian Tumor Hosptial, Fuzhou 350014, China | | | You Hongqiang | Department of Radiation Oncology, Fujian Tumor Hosptial, Fuzhou 350014, China | | | Huang Xingwu | Department of Radiation Oncology, Fujian Tumor Hosptial, Fuzhou 350014, China | | | Liu Libin | Department of Radiation Oncology, Fujian Tumor Hosptial, Fuzhou 350014, China | |
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| Abstract:: |
| Objective To evaluate the application of atlas-based autosegmentation (ABAS) software for adaptive radiation therapy in cervical cancer.Methods Twenty-one patients were enrolled from January to March in 2014. In addition to the planning CT (pCT) images, first re-planning CT (rCT) image set was acquired during the radiotherapy course. The targets and regions of interested (ROI) were outlined on the pCT and rCT by experienced physicians. All contours were transmitted to Pinnacle treatment planning system in DICOM format, which contained both automatic and manual contouring. The dice similarity coefficient (DSC) and delineation volume were used to evaluate the quality of contours which obtained automatically from the software and manual contouring.Results The average values of DSC for automatic and manual contours were both larger than 0.7. The maximum (Max) DSC value was 0.89±0.08 in clinical target volume (CTV), and the minimum (Min) was 0.72±0.16 in gross tumor volume (GTV) for the target. For the ROIs, the Max DSC value was 0.88±0.05 in right femoral head, and the Min was 0.73±0.07 in rectum. ABAS contouring volume was less than manual contouring on iliac bone, and there was statistical difference for the contour volume (t=3.37, 2.74, P<0.05). There was no statistically significant difference for other contours volume.Conclusions ABAS software might shorten the time of clinical organ delineation work in cervical cancer radiotherapy, and have shown the advantage in adaptive radiation therapy technology. |
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