Scheduling the adjuvant endocrine therapy for early stage breast cancer Academic Article

abstract

• Based on the data available through published trial results, we build a mixed integer nonlinear programming (MINLP) model in order to find an optimal treatment plan for a given HR+ early stage breast cancer patient who is postmenopausal. The objective is to maximize the disease-free survival percentage at the end of the treatment period subject to the constraints on the risk of contralateral breast cancer and the risks of several side effects, including endometrial cancer, thromboembolic events, cardiovascular diseases, bone fractures, hot flushes, and vaginal bleeding. The results of numerical experiments suggest the effectiveness of some of the schedules currently used in practice, as well as suggest some attractive alternative treatment plans. 2010 Springer Science+Business Media, LLC.

authors

• Butenko, Sergiy

published proceedings

• ANNALS OF OPERATIONS RESEARCH

author list (cited authors)

• Kahruman, S., Ulusal, E., Butenko, S., Hicks, I. V., & Diehl, K. M.

citation count

• 1

complete list of authors

• Kahruman, Sera||Ulusal, Elif||Butenko, Sergiy||Hicks, Illya V||Diehl, Kathleen M

publication date

• July 2012

publisher

• Springer Nature  Publisher

published in

• Annals of Operations Research  Journal

keywords

• Adjuvant Endocrine Therapy
• Breast Cancer
• Mathematical Programming
• Scheduling

Digital Object Identifier (DOI)

• 10.1007/s10479-010-0741-y

start page

• 683

end page

• 705

volume

• 196

issue

• 1

URL

• http://dx.doi.org/10.1007/s10479-010-0741-y