Dan Polan
Research Assistant Professor
Radiation Oncology
Radiation Oncology - Physics
330 East Liberty S
Ann Arbor, MI 48104-2274
[email protected]

Available to mentor

Dan Polan
Research Assistant Professor
  • About
  • Qualifications
  • Research Overview
  • Recent Publications
  • About

    Dr. Polan is a Research Assistant Professor in the Department of Radiation Oncology. He received his PhD in Nuclear Engineering & Radiological Sciences from the University of Michigan while working with the Department of Radiation Oncology for his doctoral research. During this time, he contributed to projects related to adaptive RT workflows, including studies on imaging processing and deformable image registration. Recently, his research has focused on the development of novel optimization strategies, centered around integrating patient data and personalized outcome predictions directly into the plan optimization process. Dr. Polan has active collaborations with the Department of Industrial and Operations Engineering for advanced treatment plan optimization and Department of Radiology for multi-modality radiation therapy.

    Qualifications
    • PhD
      University of Michigan–Ann Arbor, Ann Arbor
    • MSE
      University of Michigan Medical School, Ann Arbor
    • BSE
      University of Michigan–Ann Arbor, Ann Arbor
    Research Overview

    Areas of Interest:
    Patient-specific outcome-guided treatment planning
    Multi-modality treatment approaches
    Image processing and deformable image registration

    Clinical Interests:
    Adaptive radiation therapy
    Functional imaging
    Workflow efficiency

    Recent Publications See All Publications
    • Journal Article
      Stereotactic body radiation therapy (SBRT) following Yttrium-90 (90Y) selective internal radiation therapy (SIRT): a feasibility planning study using90Y delivered dose.
      Mee SF, Polan DF, Dewaraja YK, Cuneo KC, Gemmete JJ, Evans JR, Lawrence TS, Dow JS, Mikell JK. Phys Med Biol, 2023 Mar 10; 68 (6): DOI:10.1088/1361-6560/acbbb5
      PMID: 36780696
    • Journal Article
      Development of Total Toxicity Burden Model in Head and Neck Cancer: Correlation of Clinician and Patient Reported Outcomes
      Regan SN, Vaishampayan N, Van Til M, Polan D, Matuszak MM, Rosen BS, Aryal MP, Cao Y, Schipper M, Shah JL, Mierzwa ML, Schonewolf CA. International Journal of Radiation Oncology • Biology • Physics, 2022 Nov; 114 (3): e297 DOI:10.1016/j.ijrobp.2022.07.1332
    • Journal Article
      Direct incorporation of patient-specific efficacy and toxicity estimates in radiation therapy plan optimization.
      Polan DF, Epelman MA, Wu VW, Sun Y, Varsta M, Owen DR, Jarema D, Matrosic CK, Jolly S, Schonewolf CA, Schipper MJ, Matuszak MM. Med Phys, 2022 Oct; 49 (10): 6279 - 6292. DOI:10.1002/mp.15940
      PMID: 35994026
    • Journal Article
      Feasibility of function-guided lung treatment planning with parametric response mapping.
      Matrosic CK, Owen DR, Polan D, Sun Y, Jolly S, Schonewolf C, Schipper M, Haken RKT, Galban CJ, Matuszak M. J Appl Clin Med Phys, 2021 Nov; 22 (11): 80 - 89. DOI:10.1002/acm2.13436
      PMID: 34697884
    • Journal Article
      Prioritized Optimization of Total Toxicity Burden for Head and Neck Cancer Patients.
      Polan D, Mierzwa ML, Epelman M, Sun Y, Schonewolf C, Shah JL, Schipper M, Matuszak MM. Int J Radiat Oncol Biol Phys, 2021 Nov 1; 111 (3S): S53 - S54. DOI:10.1016/j.ijrobp.2021.07.139
      PMID: 34700576
    • Thesis / Dissertation
      Approaches for Incorporating Patient-Specific Response in Radiation Therapy
      Polan D. 2021 DOI:10.7302/2849
    • Journal Article
      Biomechanical modeling of radiation dose-induced volumetric changes of the parotid glands for deformable image registration.
      McCulloch MM, Cazoulat G, Ford AC, Elgohari B, Bahig H, Kim AD, Elhalawani H, He R, Wang J, Ding Y, Mohamed AS, Polan DF, King JB, Peterson CB, Ohrt AN, Fuller CD, Lai SY, Brock KK. Phys Med Biol, 2020 Aug 31; 65 (16): 165017 DOI:10.1088/1361-6560/ab8bf1
      PMID: 32320955
    • Journal Article
      Predictive Models to Determine Clinically Relevant Deviations in Delivered Dose for Head and Neck Cancer.
      McCulloch MM, Lee C, Rosen BS, Kamp JD, Lockhart CM, Lee JY, Polan DF, Hawkins PG, Anderson CJR, Heukelom J, Sonke J-J, Fuller CD, Balter JM, Ten Haken RK, Eisbruch A, Brock KK. Pract Radiat Oncol, 2019 9 (4): e422 - e431. DOI:10.1016/j.prro.2019.02.014
      PMID: 30836190