Visualizing Imaging Pathways after Anatomy-Specific Follow-Up Imaging Recommendations

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Hall"> <meta name="citation_publication_date" content="2019/01/09"> <meta name="citation_journal_title" content="International Journal of Health and Medical Engineering"> <meta name="citation_volume" content="13"> <meta name="citation_issue" content="1"> <meta name="citation_firstpage" content="7"> <meta name="citation_lastpage" content="12"> <meta name="citation_pdf_url" content="https://publications.waset.org/10009932/pdf"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value=""> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 33093</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Visualizing Imaging Pathways after Anatomy-Specific Follow-Up Imaging Recommendations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Thusitha%20Mabotuwana">Thusitha Mabotuwana</a>, <a href="https://publications.waset.org/search?q=Christopher%20S.%20Hall"> Christopher S. Hall</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Radiologists routinely make follow-up imaging recommendations, usually based on established clinical practice guidelines, such as the Fleischner Society guidelines for managing lung nodules. In order to ensure optimal care, it is important to make guideline-compliant recommendations, and also for patients to follow-up on these imaging recommendations in a timely manner. However, determining such compliance rates after a specific finding has been observed usually requires many time-consuming manual steps. To address some of these limitations with current approaches, in this paper we discuss a methodology to automatically detect finding-specific follow-up recommendations from radiology reports and create a visualization for relevant subsequent exams showing the modality transitions. Nearly 5% of patients who had a lung related follow-up recommendation continued to have at least eight subsequent outpatient CT exams during a seven year period following the recommendation. Radiologist and section chiefs can use the proposed tool to better understand how a specific patient population is being managed, identify possible deviations from established guideline recommendations and have a patient-specific graphical representation of the imaging pathways for an abstract view of the overall treatment path thus far.</p> <iframe src="https://publications.waset.org/10009932.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Follow-up%20recommendations" title="Follow-up recommendations">Follow-up recommendations</a>, <a href="https://publications.waset.org/search?q=care%20pathways" title=" care pathways"> care pathways</a>, <a href="https://publications.waset.org/search?q=imaging%20pathway%20visualization" title=" imaging pathway visualization"> imaging pathway visualization</a>, <a href="https://publications.waset.org/search?q=follow-up%20tracking." title=" follow-up tracking. "> follow-up tracking. </a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.3607757" target="_blank">doi.org/10.5281/zenodo.3607757</a> </p> <a href="https://publications.waset.org/10009932/visualizing-imaging-pathways-after-anatomy-specific-follow-up-imaging-recommendations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10009932/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10009932/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10009932/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10009932/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10009932/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10009932/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10009932/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10009932/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10009932/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10009932/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10009932.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">1062</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] Harvey, H. B., et al., Correlation of the Strength of Recommendations for Additional Imaging to Adherence Rate and Diagnostic Yield. J Am Coll Radiol, 2015. 12(10): p. 1016-22. <br>[2] Fleischner Society – Society for Thoracic Imaging and Diagnosis. (cited 2017 Aug 10); Available from: https://fleischnersociety.org/. <br>[3] Eisenberg, R. L. and S. Fleischner, Ways to improve radiologists' adherence to Fleischner Society guidelines for management of pulmonary nodules. J Am Coll Radiol, 2013. 10(6): p. 439-41. <br>[4] Callen, J. L., et al., Failure to follow-up test results for ambulatory patients: a systematic review. J Gen Intern Med, 2012. 27(10): p. 1334-48. <br>[5] Dutta, S., et al., Automated detection using natural language processing of radiologists recommendations for additional imaging of incidental findings. Ann Emerg Med, 2013. 62(2): p. 162-9. <br>[6] Sloan, C. E., et al., Assessment of follow-up completeness and notification preferences for imaging findings of possible cancer: what happens after radiologists submit their reports? Acad Radiol, 2014. 21(12): p. 1579-86. <br>[7] Mabotuwana, T., et al. Extracting Follow-Up Recommendations and Associated Anatomy from Radiology Reports. in 16th World Congress on Medical and Health Informatics (MedInfo2017). Aug 2017. Hangzhou. <br>[8] Mabotuwana, T., et al., Determining Adherence to Follow-up Imaging Recommendations. J Am Coll Radiol, 2018. 15(3 Pt A): p. 422-428. <br>[9] Prinsen, P., et al., A Novel Approach for Improving the Recall of Concept Detection in Medical Documents Using Extended Ontologies, in Society for Imaging Informatics in Medicine Conference. 2017: Pittsburgh. <br>[10] Computing, N. C. f. B. NCBO Annotator. (cited 2017 Aug 11); Available from: https://bioportal.bioontology.org/annotator. <br>[11] Graphviz - Graph Visualization Software. 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Visualizing Imaging Pathways after Anatomy-Specific Follow-Up Imaging Recommendations