Abstract
Given the success of frontline treatments and the ability to salvage the majority of Hodgkin lymphoma (HL) patients after disease progression or recurrence, the short-term overall survival of HL is high. However, this survival comes at a cost to patients in the form of late effects, which can alter both the length and quality of survivorship. To reduce downstream late-effect risk while preserving excellent disease control, modifications have been made in frontline therapy, including changes in indications for radiation, reduction in radiation dose and field among those receiving treatment, risk stratification to determine need for either dose reduction or dose escalation to optimize outcomes, and incorporation of novel agents, initially in the salvage setting and more recently in frontline therapy.
To guide patients and their families, alongside their providers, we describe the process of developing robust and nimble decision models to enhance and optimize the difficult decisions that affect acute and long-term outcomes.
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Parsons, S.K., Cohen, J.T., Evens, A.M. (2020). Optimizing Decision Making in Hodgkin Lymphoma. In: Engert, A., Younes, A. (eds) Hodgkin Lymphoma. Hematologic Malignancies. Springer, Cham. https://doi.org/10.1007/978-3-030-32482-7_14
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DOI: https://doi.org/10.1007/978-3-030-32482-7_14
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