Journal article
Brachytherapy Future Directions
Seminars in radiation oncology, Vol.30(1), pp.94-106
01/2020
DOI: 10.1016/j.semradonc.2019.09.001
PMID: 31727305
Abstract
Brachytherapy has advanced dramatically in the last decade due largely to improvements in applicators, imaging, treatment planning, and use of clinical trials. In addition, current research in brachytherapy technology continues to change how we deliver this treatment modality. The future of brachytherapy lies in the ability of new technologies to overcome real or perceived barriers. The focus for this manuscript is on specific tools that have or are near to being introduced in the clinic. First, we explore the impact electromagnetic tracking technologies can have on brachytherapy implants and planning workflow. This is followed by an overview of the use of 3D printing and its ability to help tailor brachytherapy implants. Next, we discuss advances in self-shielded applicators and intensity-modulated brachytherapy technology. The manuscript closes out with 2 sections on treatment planning. First is a discussion of biological optimization and its potential as compared with current techniques (eg, based on physical dosimetry). And lastly, a section on optimization treatment planning efficiencies in which we explore the potential for machine learning in brachytherapy. As recent clinical evidence continues to show excellent outcomes, this is an exciting time to practice brachytherapy. With the new technologies presented here, the future is even brighter.
Details
- Title: Subtitle
- Brachytherapy Future Directions
- Creators
- J Adam Martin Cunha - University of California SystemRyan Flynn - University of IowaCédric Bélanger - Université LavalCameron Callaghan - University of IowaYusung Kim - University of IowaXun Jia - The University of Texas Southwestern Medical CenterZhe Chen - Yale UniversityLuc Beaulieu - Université Laval
- Resource Type
- Journal article
- Publication Details
- Seminars in radiation oncology, Vol.30(1), pp.94-106
- DOI
- 10.1016/j.semradonc.2019.09.001
- PMID
- 31727305
- ISSN
- 1053-4296
- eISSN
- 1532-9461
- Language
- English
- Date published
- 01/2020
- Academic Unit
- Radiation Oncology
- Record Identifier
- 9984313083902771
Metrics
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