Literature DB >> 30229946

Performance/outcomes data and physician process challenges for practical big data efforts in radiation oncology.

Martha M Matuszak1, Clifton D Fuller2, Torunn I Yock3, Clayton B Hess3, Todd McNutt4, Shruti Jolly1, Peter Gabriel5, Charles S Mayo1, Maria Thor6, Amanda Caissie7, Arvind Rao1, Dawn Owen1, Wade Smith8, Jatinder Palta9, Rishabh Kapoor9, James Hayman1, Mark Waddle10, Barry Rosenstein11, Robert Miller10, Seungtaek Choi2, Amy Moreno2, Joseph Herman2, Mary Feng12.   

Abstract

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.
© 2018 American Association of Physicists in Medicine.

Entities:  

Keywords:  big data; challenges; outcomes; performance; physician; radiation oncology

Mesh:

Year:  2018        PMID: 30229946      PMCID: PMC6679351          DOI: 10.1002/mp.13136

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  7 in total

Review 1.  Head and Neck Cancer Adaptive Radiation Therapy (ART): Conceptual Considerations for the Informed Clinician.

Authors:  Jolien Heukelom; Clifton David Fuller
Journal:  Semin Radiat Oncol       Date:  2019-07       Impact factor: 5.934

2.  Automated data abstraction for quality surveillance and outcome assessment in radiation oncology.

Authors:  Rishabh Kapoor; William C Sleeman; Joseph J Nalluri; Paul Turner; Priyankar Bose; Andrii Cherevko; Sriram Srinivasan; Khajamoinuddin Syed; Preetam Ghosh; Michael Hagan; Jatinder R Palta
Journal:  J Appl Clin Med Phys       Date:  2021-06-08       Impact factor: 2.102

3.  Initial experience with introducing national guidelines for CT- and MRI-based delineation of organs at risk in radiotherapy.

Authors:  Caroline Olsson; Tufve Nyholm; Elinore Wieslander; Eva Onjukka; Adalsteinn Gunnlaugsson; Johan Reizenstein; Stefan Johnsson; Ingrid Kristensen; Johan Skönevik; Magnus Karlsson; Ulf Isacsson; Anna Flejmer; Edvard Abel; Fredrik Nordström; Leif Nyström; Kjell Bergfeldt; Björn Zackrisson; Alexander Valdman
Journal:  Phys Imaging Radiat Oncol       Date:  2019-09-23

4.  Adapting training for medical physicists to match future trends in radiation oncology.

Authors:  Catharine H Clark; Giovanna Gagliardi; Ben Heijmen; Julian Malicki; Daniela Thorwarth; Dirk Verellen; Ludvig P Muren
Journal:  Phys Imaging Radiat Oncol       Date:  2019-09-19

Review 5.  Insights into the theranostic value of precision medicine on advanced radiotherapy to breast cancer.

Authors:  Man Jiang; Jianshe Yang; Kang Li; Jia Liu; Xigang Jing; Meiqin Tang
Journal:  Int J Med Sci       Date:  2021-01-01       Impact factor: 3.738

Review 6.  Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing.

Authors:  Liwei Wang; Sunyang Fu; Andrew Wen; Xiaoyang Ruan; Huan He; Sijia Liu; Sungrim Moon; Michelle Mai; Irbaz B Riaz; Nan Wang; Ping Yang; Hua Xu; Jeremy L Warner; Hongfang Liu
Journal:  JCO Clin Cancer Inform       Date:  2022-07

7.  NTCP Modeling of Late Effects for Head and Neck Cancer: A Systematic Review.

Authors:  Sonja Stieb; Anna Lee; Lisanne V van Dijk; Steven Frank; Clifton David Fuller; Pierre Blanchard
Journal:  Int J Part Ther       Date:  2021-06-25
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.