| Yu Luxin,He Yisong,Yin Yunpeng,et al.Dosimetric comparison between TG43 and AcurosBV algorithms in brachytherapy for cervical cancer[J].Chinese Journal of Radiological Medicine and Protection,2026,46(7):670-675 |
| Dosimetric comparison between TG43 and AcurosBV algorithms in brachytherapy for cervical cancer |
| Received:September 03, 2025 |
| DOI：10.3760/cma.j.cn112271-20250903-00314 |
| KeyWords:Cervical cancer Brachytherapy TG43 algorithm AcurosBV algorithm Dosimetric comparison |
| FundProject: |
| Author Name | Affiliation | E-mail | | Yu Luxin | Cancer Center, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China | | | He Yisong | Cancer Center, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China | 627412679@qq.com | | Yin Yunpeng | Cancer Center, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China | | | Zhang Weisha | Cancer Center, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China | | | Liang Tiantian | Cancer Center, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China | | | Luo Kelin | Cancer Center, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, China | |
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| Abstract:: |
| Objective To evaluate dosimetric differences between TG43 and AcurosBV algorithms for stainless-steel Manchester applicators in cervical cancer brachytherapy, and to provide a basis for precise clinical dose calculation.Methods A retrospective study analyzed 21 patients with cervical cancer who were treated with stainless-steel Manchester applicators at Sichuan Provincial People’s Hospital. Doses were calculated using TG43 and AcurosBV algorithms in Varian Eclipse, with comparisons of D90% and D98% of high-risk clinical target volume (HRCTV) as well as D2 cm3 and D0.1 cm3 of (P<0.01) organs at risk (OARs), including the bladder, rectum, small intestine, and urethra. A Python-based automated tool for high-density voxel identification was developed to improve the computational success rate of the AcurosBV algorithm. Results AcurosBV yielded significantly lower doses than TG43 for HRCTV, with 7.46% and 7.27% reductions for D90% and D98%, respectively(t=91.88,39.47,P<0.01); the decreases in doses for OARs ranged from 5.53% to 8.80%(P<0.01), with the largest difference in small intestine D2 cm3(-8.80%). The Python tool effectively addressed clinical under-detection. Conclusions For stainless-steel applicators, the AcurosBV algorithm demonstrated a significant dose correction effect and superior calculation accuracy. These results provide an essential dosimetric reference for the clinical transition from TG43 to model-based dose calculation algorithms. |
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