Development status of multimodal-fusion image-guided brachytherapy for cervical cancer
10.3760/cma.j.cn112271-20220922-00384
- VernacularTitle:宫颈癌多模态融合图像引导近距离放射治疗发展现状
- Author:
Chenying MA
1
;
Xiaoting XU
;
Juying ZHOU
Author Information
1. 苏州大学附属第一医院放疗科，苏州 215123
- Keywords:
Cervical cancer;
IGBT;
Multimodal-fusion;
Artificial intelligence;
Deep learning
- From:
Chinese Journal of Radiological Medicine and Protection
2022;42(12):1004-1009
- CountryChina
- Language:Chinese
-
Abstract:
Cisplatin-based systemic chemotherapy combined with external beam radiation followed by intracavitary brachytherapy (ICBT) has become the standard treatment modality for locally advanced cervical cancer. Benefiting from the improvement in the imaging accuracy of medical imaging equipment and the development of image fusion technology, ICBT has developed into image-guided brachytherapy (IGBT) rather than the mode relying only on single image guidance. Factors such as the selection of a suitable image acquisition technology and the optimization of the multimodal imaging fusion strategy to reduce the dose deviation of IGBT are the key to the success of cervical cancer treatment. Radiotherapy practice is also plagued by these factors. Deep learning-based artificial intelligence technology has emerged in constructing intelligent radiotherapy platforms and solutions and has become an important means of solving the key problems in the multi-modal fusion IGBT for cervical cancer. Moreover, this technology is also a new way to improve the overall diagnosis and treatment level of cervical cancer, reduce the workload of physicians, and popularize the radiotherapy experience in grassroots organizations.
