Literature DB >> 33817649

A Framework for Sharing Radiation Dose Distribution Maps in the Electronic Medical Record for Improving Multidisciplinary Patient Management.

Ricky R Savjani1, Noriko Salamon1, Jie Deng1, Martin Ma1, Steve Tenn1, Nzhde Agazaryan1, John Hegde1, Tania Kaprealian1.   

Abstract

Radiation oncology practices use a suite of dedicated software and hardware that are not common to other medical subspecialties, making radiation treatment history inaccessible to colleagues. A radiation dose distribution map is generated for each patient internally that allows for visualization of the dose given to each anatomic structure volumetrically; however, this crucial information is not shared systematically to multidisciplinary medical, surgery, and radiology colleagues. A framework was developed in which dose distribution volumes are uploaded onto the medical center's picture archiving and communication system (PACS) to rapidly retrieve and review exactly where, when, and to what dose a lesion or structure was treated. The ability to easily visualize radiation therapy information allows radiology clinics to incorporate radiation dose into image interpretation without direct access to radiation oncology planning software and data. Tumor board discussions are simplified by incorporating radiation therapy information collectively in real time, and daily onboard imaging can also be uploaded while a patient is still undergoing radiation therapy. Placing dose distribution information into PACS facilitates central access into the electronic medical record and provides a succinct visual summary of a patient's radiation history for all medical providers. More broadly, the radiation dose map provides greater visibility and facilitates incorporation of a patient's radiation history to improve oncologic decision making and patient outcomes. Keywords: Brain/Brain Stem, CNS, MRI, Neuro-Oncology, Radiation Effects, Radiation Therapy, Radiation Therapy/Oncology, Radiosurgery, Skull Base, Spine, Technology Assessment Supplemental material is available for this article. © RSNA, 2021 See also commentary by Khandelwal and Scarboro in this issue. 2021 by the Radiological Society of North America, Inc.

Entities:  

Keywords:  Brain/Brain Stem; CNS; MRI; Neuro-Oncology; Radiation Effects; Radiation Therapy; Radiation Therapy/Oncology; Radiosurgery; Skull Base; Spine; Technology Assessment

Year:  2021        PMID: 33817649      PMCID: PMC8011443          DOI: 10.1148/rycan.2021200075

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  7 in total

1.  Concept of a PACS and imaging informatics-based server for radiation therapy.

Authors:  Maria Y Y Law; H K Huang
Journal:  Comput Med Imaging Graph       Date:  2003       Impact factor: 4.790

2.  3D Slicer as an image computing platform for the Quantitative Imaging Network.

Authors:  Andriy Fedorov; Reinhard Beichel; Jayashree Kalpathy-Cramer; Julien Finet; Jean-Christophe Fillion-Robin; Sonia Pujol; Christian Bauer; Dominique Jennings; Fiona Fennessy; Milan Sonka; John Buatti; Stephen Aylward; James V Miller; Steve Pieper; Ron Kikinis
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

3.  Informatics in radiology: DICOM-RT and its utilization in radiation therapy.

Authors:  Maria Y Y Law; Brent Liu
Journal:  Radiographics       Date:  2009-03-06       Impact factor: 5.333

4.  Radiation Oncology Health Information Technology: Is It Working For or Against Us?

Authors:  Hubert Y Pan; Lukasz M Mazur; Neil E Martin; Charles S Mayo; Lakshmi Santanam; Todd Pawlicki; Lawrence B Marks; Benjamin D Smith
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-06-01       Impact factor: 7.038

5.  SlicerRT: radiation therapy research toolkit for 3D Slicer.

Authors:  Csaba Pinter; Andras Lasso; An Wang; David Jaffray; Gabor Fichtinger
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.071

6.  Gaps in Radiation Therapy Awareness: Results From an Educational Multi-institutional Survey of US Internal Medicine Residents.

Authors:  Narek Shaverdian; Sun Mi Yoo; Ryan Cook; Eric M Chang; Naomi Jiang; Ye Yuan; Kiri Sandler; Michael Steinberg; Percy Lee
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-03-29       Impact factor: 7.038

Review 7.  Informatics in radiology: DICOM-RT-based electronic patient record information system for radiation therapy.

Authors:  Maria Y Y Law; Brent Liu; Lawrence W Chan
Journal:  Radiographics       Date:  2009-05-15       Impact factor: 5.333

  7 in total

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