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Jin F, Luo HL, Zhou J, He YN, Liu XF, Zhong MS, Yang H, Li C, Li QC, Huang X, Tian XM, Qiu D, He GL, Yin L, Wang Y. Cancer risk assessment in modern radiotherapy workflow with medical big data. Cancer Manag Res 2018; 10:1665-1675. [PMID: 29970965 PMCID: PMC6021004 DOI: 10.2147/cmar.s164980] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Modern radiotherapy (RT) is being enriched by big digital data and intensive technology. Multimodality image registration, intelligence-guided planning, real-time tracking, image-guided RT (IGRT), and automatic follow-up surveys are the products of the digital era. Enormous digital data are created in the process of treatment, including benefits and risks. Generally, decision making in RT tries to balance these two aspects, which is based on the archival and retrieving of data from various platforms. However, modern risk-based analysis shows that many errors that occur in radiation oncology are due to failures in workflow. These errors can lead to imbalance between benefits and risks. In addition, the exact mechanism and dose-response relationship for radiation-induced malignancy are not well understood. The cancer risk in modern RT workflow continues to be a problem. Therefore, in this review, we develop risk assessments based on our current knowledge of IGRT and provide strategies for cancer risk reduction. Artificial intelligence (AI) such as machine learning is also discussed because big data are transforming RT via AI.
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Affiliation(s)
- Fu Jin
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Huan-Li Luo
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Juan Zhou
- Forensic Identification Center, College of Criminal Investigation, Southwest University of Political Science and Law, Chongqing, People’s Republic of China
| | - Ya-Nan He
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Xian-Feng Liu
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Ming-Song Zhong
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Han Yang
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Chao Li
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Qi-Cheng Li
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Xia Huang
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Xiu-Mei Tian
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Da Qiu
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Guang-Lei He
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Li Yin
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
| | - Ying Wang
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People’s Republic of China
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Cohen MD. ALARA, image gently and CT-induced cancer. Pediatr Radiol 2015; 45:465-70. [PMID: 25680877 DOI: 10.1007/s00247-014-3198-3] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2014] [Accepted: 09/28/2014] [Indexed: 12/20/2022]
Affiliation(s)
- Mervyn D Cohen
- Department of Radiology, Indiana University School of Medicine,Riley Hospital for Children, 520 W. Cedar St, Zionsville, IN, 46077, USA,
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