Literature DB >> 24387492

Vision 20/20: Automation and advanced computing in clinical radiation oncology.

Kevin L Moore1, George C Kagadis2, Todd R McNutt3, Vitali Moiseenko1, Sasa Mutic4.   

Abstract

This Vision 20/20 paper considers what computational advances are likely to be implemented in clinical radiation oncology in the coming years and how the adoption of these changes might alter the practice of radiotherapy. Four main areas of likely advancement are explored: cloud computing, aggregate data analyses, parallel computation, and automation. As these developments promise both new opportunities and new risks to clinicians and patients alike, the potential benefits are weighed against the hazards associated with each advance, with special considerations regarding patient safety under new computational platforms and methodologies. While the concerns of patient safety are legitimate, the authors contend that progress toward next-generation clinical informatics systems will bring about extremely valuable developments in quality improvement initiatives, clinical efficiency, outcomes analyses, data sharing, and adaptive radiotherapy.

Entities:  

Mesh:

Year:  2014        PMID: 24387492     DOI: 10.1118/1.4842515

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


  19 in total

1.  Developing Predictive or Prognostic Biomarkers for Charged Particle Radiotherapy.

Authors:  Michael D Story; Jing Wang
Journal:  Int J Part Ther       Date:  2018

2.  Analytical modeling and feasibility study of a multi-GPU cloud-based server (MGCS) framework for non-voxel-based dose calculations.

Authors:  J Neylon; Y Min; P Kupelian; D A Low; A Santhanam
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-08-25       Impact factor: 2.924

3.  Technology for Innovation in Radiation Oncology.

Authors:  Indrin J Chetty; Mary K Martel; David A Jaffray; Stanley H Benedict; Stephen M Hahn; Ross Berbeco; James Deye; Robert Jeraj; Brian Kavanagh; Sunil Krishnan; Nancy Lee; Daniel A Low; David Mankoff; Lawrence B Marks; Daniel Ollendorf; Harald Paganetti; Brian Ross; Ramon Alfredo C Siochi; Robert D Timmerman; John W Wong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-07-11       Impact factor: 7.038

4.  Overview of the American Society for Radiation Oncology-National Institutes of Health-American Association of Physicists in Medicine Workshop 2015: Exploring Opportunities for Radiation Oncology in the Era of Big Data.

Authors:  Stanley H Benedict; Karen Hoffman; Mary K Martel; Amy P Abernethy; Anthony L Asher; Jacek Capala; Ronald C Chen; Bhisham Chera; Jennifer Couch; James Deye; Jason A Efstathiou; Eric Ford; Benedick A Fraass; Peter E Gabriel; Vojtech Huser; Brian D Kavanagh; Deepak Khuntia; Lawrence B Marks; Charles Mayo; Todd McNutt; Robert S Miller; Kevin L Moore; Fred Prior; Erik Roelofs; Barry S Rosenstein; Jeff Sloan; Anna Theriault; Bhadrasain Vikram
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-07-01       Impact factor: 7.038

5.  Impending Challenges for the Use of Big Data.

Authors:  Vojtech Huser; James J Cimino
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-11-05       Impact factor: 7.038

6.  ORBIT-RT: A Real-Time, Open Platform for Knowledge-Based Quality Control of Radiotherapy Treatment Planning.

Authors:  Brent M Covele; Kartikeya S Puri; Karoline Kallis; James D Murphy; Kevin L Moore
Journal:  JCO Clin Cancer Inform       Date:  2021-01

7.  Initial evaluation of automated treatment planning software.

Authors:  Dawn Gintz; Kujtim Latifi; Jimmy Caudell; Benjamin Nelms; Geoffrey Zhang; Eduardo Moros; Vladimir Feygelman
Journal:  J Appl Clin Med Phys       Date:  2016-05-08       Impact factor: 2.102

8.  Improving treatment plan evaluation with automation.

Authors:  Elizabeth L Covington; Xiaoping Chen; Kelly C Younge; Choonik Lee; Martha M Matuszak; Marc L Kessler; Wayne Keranen; Eduardo Acosta; Ashley M Dougherty; Stephanie E Filpansick; Jean M Moran
Journal:  J Appl Clin Med Phys       Date:  2016-11-08       Impact factor: 2.102

9.  Monte Carlo verification of radiotherapy treatments with CloudMC.

Authors:  Hector Miras; Rubén Jiménez; Álvaro Perales; José Antonio Terrón; Alejandro Bertolet; Antonio Ortiz; José Macías
Journal:  Radiat Oncol       Date:  2018-06-27       Impact factor: 3.481

10.  Personalized Treatment Planning Automation in Prostate Cancer Radiation Oncology: A Comprehensive Dosimetric Study.

Authors:  Savino Cilla; Carmela Romano; Vittoria E Morabito; Gabriella Macchia; Milly Buwenge; Nicola Dinapoli; Luca Indovina; Lidia Strigari; Alessio G Morganti; Vincenzo Valentini; Francesco Deodato
Journal:  Front Oncol       Date:  2021-06-01       Impact factor: 6.244

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