Literature DB >> 29528822

Multimedia-enhanced Radiology Reports: Concept, Components, and Challenges.

Les R Folio1, Laura B Machado1, Andrew J Dwyer1.   

Abstract

Multimedia-enhanced radiology report (MERR) development is defined and described from an informatics perspective, in which the MERR is seen as a superior information-communicating entity. Recent technical advances, such as the hyperlinking of report text directly to annotated images, improve MERR information content and accessibility compared with text-only reports. The MERR is analyzed by its components, which include hypertext, tables, graphs, embedded images, and their interconnections. The authors highlight the advantages of each component for improving the radiologist's communication of report content information and the user's ability to extract information. Requirements for MERR implementation (eg, integration of picture archiving and communication systems, radiology information systems, and electronic medical record systems) and the authors' initial experiences and challenges in MERR implementation at the National Institutes of Health are reviewed. The transition to MERRs has provided advantages over use of traditional text-only radiology reports because of the capacity to include hyperlinked report text that directs clinicians to image annotations, images, tables, and graphs. A framework is provided for thinking about the MERR from the user's perspective. Additional applications of emerging technologies (eg, artificial intelligence and machine learning) are described in the crafting of what the authors believe is the radiology report of the future. ©RSNA, 2018.

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Year:  2018        PMID: 29528822      PMCID: PMC5881644          DOI: 10.1148/rg.2017170047

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  29 in total

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Authors:  P A Tang; G R Pond; E X Chen
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4.  Multimedia E-mail systems for computer-assisted radiological communication.

Authors:  E Bellon; J van Cleynenbreugel; P Suetens; G Marchal; W van Steenbergen; C Plets; A Oosterlinck; A L Baert
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5.  Quantitative imaging in oncology patients: Part 2, oncologists' opinions and expectations at major U.S. cancer centers.

Authors:  Tracy A Jaffe; Nicholas W Wickersham; Daniel C Sullivan
Journal:  AJR Am J Roentgenol       Date:  2010-07       Impact factor: 3.959

6.  Automated tracking of quantitative assessments of tumor burden in clinical trials.

Authors:  Daniel L Rubin; Debra Willrett; Martin J O'Connor; Cleber Hage; Camille Kurtz; Dilvan A Moreira
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7.  Consistency and efficiency of CT analysis of metastatic disease: semiautomated lesion management application within a PACS.

Authors:  Les R Folio; Aline Sandouk; Jiaxin Huang; Jeffrey M Solomon; Andrea B Apolo
Journal:  AJR Am J Roentgenol       Date:  2013-09       Impact factor: 3.959

Review 8.  A Foundation for Enterprise Imaging: HIMSS-SIIM Collaborative White Paper.

Authors:  Christopher J Roth; Louis M Lannum; Kenneth R Persons
Journal:  J Digit Imaging       Date:  2016-10       Impact factor: 4.056

Review 9.  The Current State and Path Forward For Enterprise Image Viewing: HIMSS-SIIM Collaborative White Paper.

Authors:  Christopher J Roth; Louis M Lannum; Donald K Dennison; Alexander J Towbin
Journal:  J Digit Imaging       Date:  2016-10       Impact factor: 4.056

10.  Radiomics: Images Are More than Pictures, They Are Data.

Authors:  Robert J Gillies; Paul E Kinahan; Hedvig Hricak
Journal:  Radiology       Date:  2015-11-18       Impact factor: 11.105

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  7 in total

1.  A Hybrid Reporting Platform for Extended RadLex Coding Combining Structured Reporting Templates and Natural Language Processing.

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2.  Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence.

Authors:  Huy M Do; Lillian G Spear; Moozhan Nikpanah; S Mojdeh Mirmomen; Laura B Machado; Alexandra P Toscano; Baris Turkbey; Mohammad Hadi Bagheri; James L Gulley; Les R Folio
Journal:  Acad Radiol       Date:  2020-01       Impact factor: 3.173

3.  Towards More Structure: Comparing TNM Staging Completeness and Processing Time of Text-Based Reports versus Fully Segmented and Annotated PET/CT Data of Non-Small-Cell Lung Cancer.

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Journal:  Contrast Media Mol Imaging       Date:  2018-11-01       Impact factor: 3.161

4.  Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.

Authors:  J N Stember; H Celik; E Krupinski; P D Chang; S Mutasa; B J Wood; A Lignelli; G Moonis; L H Schwartz; S Jambawalikar; U Bagci
Journal:  J Digit Imaging       Date:  2019-08       Impact factor: 4.056

5.  Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper.

Authors:  Seth J Berkowitz; David Kwan; Toby C Cornish; Elliot L Silver; Karen S Thullner; Alex Aisen; Marilyn M Bui; Shawn D Clark; David A Clunie; Monief Eid; Douglas J Hartman; Kinson Ho; Andrei Leontiev; Damien M Luviano; Peter E O'Toole; Anil V Parwani; Nielsen S Pereira; Veronica Rotemberg; David J Vining; Cree M Gaskin; Christopher J Roth; Les R Folio
Journal:  J Digit Imaging       Date:  2022-08-12       Impact factor: 4.903

6.  Preparing Medical Imaging Data for Machine Learning.

Authors:  Martin J Willemink; Wojciech A Koszek; Cailin Hardell; Jie Wu; Dominik Fleischmann; Hugh Harvey; Les R Folio; Ronald M Summers; Daniel L Rubin; Matthew P Lungren
Journal:  Radiology       Date:  2020-02-18       Impact factor: 11.105

Review 7.  Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper.

Authors:  Christopher J Roth; David A Clunie; David J Vining; Seth J Berkowitz; Alejandro Berlin; Jean-Pierre Bissonnette; Shawn D Clark; Toby C Cornish; Monief Eid; Cree M Gaskin; Alexander K Goel; Genevieve C Jacobs; David Kwan; Damien M Luviano; Morgan P McBee; Kelly Miller; Abdul Moiz Hafiz; Ceferino Obcemea; Anil V Parwani; Veronica Rotemberg; Elliot L Silver; Erik S Storm; James E Tcheng; Karen S Thullner; Les R Folio
Journal:  J Digit Imaging       Date:  2021-06-15       Impact factor: 4.056

  7 in total

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