Literature DB >> 27693224

Standardizing dose prescriptions: An ASTRO white paper.

Suzanne B Evans1, Benedick A Fraass2, Paula Berner3, Kevin S Collins4, Teamour Nurushev5, Michael J O'Neill6, Jing Zeng7, Lawrence B Marks8.   

Abstract

This white paper recommends the standardization (content and presentation order) of several "key components" of the radiation therapy prescription to facilitate accurate communication between radiation therapy care providers. The rationale, other similar efforts, and detailed considerations are described. In brief, the Task Force recommends that the prescription's "elements" include: treatment site, method of delivery, dose per fraction, total number of fractions, total dose (eg, right breast, tangent photons, 267 cGy * 16 = 4272 cGy). A similar formalism is recommended for brachytherapy (eg, cervix, Ir-192 brachytherapy, 600cGy * 5 = 3000 cGy) and other modalities. The white paper also considers future directions for other items such as the simulation order, treatment planning objectives, prescription point or volume, treatment schedule, localization imaging, laboratory monitoring, concurrent chemotherapy, patient instructions for treatment, etc. The intent of this white paper is to facilitate accurate communication among providers to support safe practice as well as to guide vendors in product development that is consistent with this standard prescription.
Copyright © 2016 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27693224     DOI: 10.1016/j.prro.2016.08.007

Source DB:  PubMed          Journal:  Pract Radiat Oncol        ISSN: 1879-8500


  7 in total

Review 1.  Artificial intelligence in radiation oncology.

Authors:  Elizabeth Huynh; Ahmed Hosny; Christian Guthier; Danielle S Bitterman; Steven F Petit; Daphne A Haas-Kogan; Benjamin Kann; Hugo J W L Aerts; Raymond H Mak
Journal:  Nat Rev Clin Oncol       Date:  2020-08-25       Impact factor: 66.675

2.  Treatment data and technical process challenges for practical big data efforts in radiation oncology.

Authors:  C S Mayo; M Phillips; T R McNutt; J Palta; A Dekker; R C Miller; Y Xiao; J M Moran; M M Matuszak; P Gabriel; A S Ayan; J Prisciandaro; M Thor; N Dixit; R Popple; J Killoran; E Kaleba; M Kantor; D Ruan; R Kapoor; M L Kessler; T S Lawrence
Journal:  Med Phys       Date:  2018-09-18       Impact factor: 4.071

3.  An Evaluation of Health Numeracy among Radiation Therapists and Dosimetrists.

Authors:  Gabrielle W Peters; Jacqueline R Kelly; Jason M Beckta; Marney White; Lawrence B Marks; Eric Ford; Suzanne B Evans
Journal:  Adv Radiat Oncol       Date:  2020-11-03

4.  A Safe and Practical Cycle for Team-Based Development and Implementation of In-House Clinical Software.

Authors:  Jean M Moran; Kelly C Paradis; Scott W Hadley; Martha M Matuszak; Charles S Mayo; Katherine Woch Naheedy; Xiaoping Chen; Dale W Litzenberg; James Irrer; Maria G Ditman; Pam Burger; Marc L Kessler
Journal:  Adv Radiat Oncol       Date:  2021-09-15

Review 5.  Quality and Safety With Technological Advancements in Radiotherapy: An Overview and Journey Narrative From a Low- and Middle-Income Country Institution.

Authors:  Jifmi Jose Manjali; Rahul Krishnatry; Jatinder R Palta; J P Agarwal
Journal:  JCO Glob Oncol       Date:  2022-08

6.  Three discipline collaborative radiation therapy (3DCRT) special debate: Peer review in radiation oncology is more effective today than 20 years ago.

Authors:  Anis Ahmad; Lakshmi Santanam; Abhishek A Solanki; Laura Padilla; Erina Vlashi; Patrizia Guerrieri; Michael M Dominello; Jay Burmeister; Michael C Joiner
Journal:  J Appl Clin Med Phys       Date:  2020-11-24       Impact factor: 2.243

7.  Toward Data-Driven Radiation Oncology Using Standardized Terminology as a Starting Point: Cross-sectional Study.

Authors:  Nikola Cihoric; Eugenia Vlaskou Badra; Anna Stenger-Weisser; Daniel M Aebersold; Matea Pavic
Journal:  JMIR Form Res       Date:  2022-01-19
  7 in total

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