Tools to Guide Radiation Oncologists in the Management of DCIS.
Maria Cristina LeonardiMaria Alessia ZerellaMatteo LazzeroniNicola FuscoPaolo VeronesiViviana Enrica GalimbertiGiovanni CorsoSamantha DicuonzoDamaris Patricia RojasAnna MorraMarianna Alessandra GerardiChiara LorubbioMattia ZaffaroniMaria Giulia VinciniRoberto OrecchiaBarbara Alicja Jereczek-FossaFrancesca MagnoniPublished in: Healthcare (Basel, Switzerland) (2024)
Similar to invasive breast cancer, ductal carcinoma in situ is also going through a phase of changes not only from a technical but also a conceptual standpoint. From prescribing radiotherapy to everyone to personalized approaches, including radiotherapy omission, there is still a lack of a comprehensive framework to guide radiation oncologists in decision making. Many pieces of the puzzle are finding their place as high-quality data mature and are disseminated, but very often, the interpretation of risk factors and the perception of risk remain very highly subjective. Sharing the therapeutic choice with patients requires effective communication for an understanding of risks and benefits, facilitating an informed decision that does not increase anxiety and concerns about prognosis. The purpose of this narrative review is to summarize the current state of knowledge to highlight the tools available to radiation oncologists for managing DCIS, with an outlook on future developments.
Keyphrases
- decision making
- radiation induced
- risk factors
- early stage
- end stage renal disease
- radiation therapy
- healthcare
- ejection fraction
- chronic kidney disease
- newly diagnosed
- primary care
- locally advanced
- sleep quality
- prognostic factors
- social media
- big data
- emergency department
- risk assessment
- human health
- machine learning
- deep learning
- young adults
- palliative care
- patient reported
- artificial intelligence