Back to Authors

Matuszak, M.M.

https://orcid.org/0000-0002-4129-1030

Mayo Clinic

University of Michigan

Citations 3

Evaluation of Safety of Stereotactic Body Radiotherapy for the Treatment of Patients With Multiple Metastases
Chmura, S.J., Winter, Kathryn, Robinson, Clifford G. , Pisansky, Thomas M. , Al‐Hallaq, Hania , Matuszak, M.M. , Yi, Sun, Bazan, Jose G. , Wong, Philip , Yoon, Harold, Horton, Janet K., Milano, Michael T. , Sigurdson, Elin R., Moughan, Jennifer, Salama, Joseph K. , White, Julia , Robinson, Clifford , Borges, Virginia F. , Park, Sean S. , Gan, Gregory N.

JAMA Oncology | April 22, 2021 | Volume: 7 | Issue: 6 | Pages: 845

10.1001/jamaoncol.2021.0687 Get It

Performance/outcomes data and physician process challenges for practical big data efforts in radiation oncology
Matuszak, M.M. , Fuller, Clifton D. , Yock, Torunn I. , McNutt, Todd , Jolly, Shruti , Mayo, Charles S. , Thor, Maria, Caissie, Amanda, Rao, Arvind , Owen, Dawn , Smith, W. P., Palta, Jatinder , Kapoor, Rishabh , Hayman, James A. , Waddle, Mark R. , Rosenstein, Barry S. , Miller, Robert C. , Moreno, Amy C. , Herman, Joseph M. , Feng, Mary, Waddle, Mark, Hess, Clayton Burnett , Gabriel, Peter , Choi, Seungtaek L. , Fuller, Clifton David

Medical Physics | September 19, 2018 | Volume: 45 | Issue: 10 | Pages: No page available

10.1002/mp.13136 Get It

It is an exciting time for big data efforts in radiation oncology. The use of big data to help aid both outcomes and decision‐making research is becoming a reality. However, there are true challenges that exist in the space of gathering and utilizing performance and outcomes data. Here, we summarize the current state of big data in radiation oncology with respect to outcomes and discuss some of the efforts and challenges in radiation oncology big data.
Treatment data and technical process challenges for practical big data efforts in radiation oncology
Mayo, C., Phillips, Mark H., McNutt, TR, Palta, Jatinder , Dekker, André , Miller, Robert C. , Xiao, Ying , Moran, Jean M. , Matuszak, M.M. , Ayan, AS, Prisciandaro, Joann I. , Thor, Maria, Dixit, Niharika , Killoran, Joseph H., Kaleba, Erin O., Kantor, Michael , Kapoor, Rishabh , Kessler, ML, Lawrence, Theodore S. , Mayo, Charles S. , Lawrence, Theodore S , Gabriel, Peter , Popple, Richard A. , Ruan, Dan

Medical Physics | September 18, 2018 | Volume: 45 | Issue: 10 | Pages: No page available

10.1002/mp.13114 Get It

The term Big Data has come to encompass a number of concepts and uses within medicine. This paper lays out the relevance and application of large collections of data in the radiation oncology community. We describe the potential importance and uses in clinical practice. The important concepts are then described and how they have been or could be implemented are discussed. Impediments to progress in the collection and use of sufficient quantities of data are also described. Finally, recommendations for how the community can move forward to achieve the potential of big data in radiation oncology are provided.