Literature DB >> 28074302

ENABLE (Exportable Notation and Bookmark List Engine): an Interface to Manage Tumor Measurement Data from PACS to Cancer Databases.

Nikhil Goyal1, Andrea B Apolo2, Eliana D Berman2, Mohammad Hadi Bagheri1, Jason E Levine3, John W Glod4, Rosandra N Kaplan4, Laura B Machado1, Les R Folio5.   

Abstract

Oncologists evaluate therapeutic response in cancer trials based on tumor quantification following selected "target" lesions over time. At our cancer center, a majority of oncologists use Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 quantifying tumor progression based on lesion measurements on imaging. Currently, our oncologists handwrite tumor measurements, followed by multiple manual data transfers; however, our Picture Archiving Communication System (PACS) (Carestream Health, Rochester, NY) has the ability to export tumor measurements, making it possible to manage tumor metadata digitally. We developed an interface, "Exportable Notation and Bookmark List Engine" (ENABLE), which produces prepopulated RECIST v1.1 worksheets and compiles cohort data and data models from PACS measurement data, thus eliminating handwriting and manual data transcription. We compared RECIST v1.1 data from eight patients (16 computed tomography exams) enrolled in an IRB-approved therapeutic trial with ENABLE outputs: 10 data fields with a total of 194 data points. All data in ENABLE's output matched with the existing data. Seven staff were taught how to use the interface with a 5-min explanatory instructional video. All were able to use ENABLE successfully without additional guidance. We additionally assessed 42 metastatic genitourinary cancer patients with available RECIST data within PACS to produce a best response waterfall plot. ENABLE manages tumor measurements and associated metadata exported from PACS, producing forms and data models compatible with cancer databases, obviating handwriting and the manual re-entry of data. Automation should reduce transcription errors and improve efficiency and the auditing process.

Entities:  

Keywords:  Clinical oncology; Data collection; Data management; Efficiency; Multimedia; PACS; PACS metadata; RECIST

Mesh:

Year:  2017        PMID: 28074302      PMCID: PMC5422230          DOI: 10.1007/s10278-016-9938-1

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  17 in total

1.  Natural Language Processing Techniques for Extracting and Categorizing Finding Measurements in Narrative Radiology Reports.

Authors:  M Sevenster; J Buurman; P Liu; J F Peters; P J Chang
Journal:  Appl Clin Inform       Date:  2015-09-30       Impact factor: 2.342

2.  Quantitative Radiology Reporting in Oncology: Survey of Oncologists and Radiologists.

Authors:  Les R Folio; Chelsye J Nelson; Menashe Benjamin; Ayelet Ran; Guy Engelhard; David A Bluemke
Journal:  AJR Am J Roentgenol       Date:  2015-09       Impact factor: 3.959

Review 3.  Algorithms for radiological image registration and their clinical application.

Authors:  D J Hawkes
Journal:  J Anat       Date:  1998-10       Impact factor: 2.610

4.  Improved efficiency in clinical workflow of reporting measured oncology lesions via PACS-integrated lesion tracking tool.

Authors:  Merlijn Sevenster; Adam R Travis; Rajiv K Ganesh; Peng Liu; Ursula Kose; Joost Peters; Paul J Chang
Journal:  AJR Am J Roentgenol       Date:  2015-03       Impact factor: 3.959

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.  Radiologic assessment of response to therapy: comparison of RECIST Versions 1.1 and 1.0.

Authors:  Hamid Chalian; Hüseyin Gürkan Töre; Jeanne M Horowitz; Riad Salem; Frank H Miller; Vahid Yaghmai
Journal:  Radiographics       Date:  2011 Nov-Dec       Impact factor: 5.333

7.  Use and misuse of waterfall plots.

Authors:  Tiffany Shao; Lisa Wang; Arnoud J Templeton; Raymond Jang; Francisco W Vera-Badillo; Mairead G McNamara; Myles Margolis; Tae Kyoung Kim; Mehrdad Sinaei; Hassan Shoushtari; Ian F Tannock
Journal:  J Natl Cancer Inst       Date:  2014-10-29       Impact factor: 13.506

8.  Tool support to enable evaluation of the clinical response to treatment.

Authors:  Mia A Levy; Daniel L Rubin
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

9.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

Review 10.  Understanding waterfall plots.

Authors:  Theresa W Gillespie
Journal:  J Adv Pract Oncol       Date:  2012-03
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  4 in total

Review 1.  Multimedia-enhanced Radiology Reports: Concept, Components, and Challenges.

Authors:  Les R Folio; Laura B Machado; Andrew J Dwyer
Journal:  Radiographics       Date:  2018 Mar-Apr       Impact factor: 5.333

2.  A Mentored Pathway into the Sciences for Underrepresented Populations: A Newly Crafted Educational Modality for Women Exploring Career Opportunities in Science, Technology, Engineering, Mathematics, and Medicine.

Authors:  Sheindel Ifrah Goldfeiz; Miriam Knoll; Reshma Jagsi; Chana Weinstock; James W Pennebaker; Linda Samuels; Daniel C Edelman
Journal:  Womens Health Rep (New Rochelle)       Date:  2020-09-28

3.  Rethinking Clinical Trial Radiology Workflows and Student Training: Integrated Virtual Student Shadowing Experience, Education, and Evaluation.

Authors:  Lillian G Spear; Jane A Dimperio; Sherry S Wang; Huy M Do; Les R Folio
Journal:  J Digit Imaging       Date:  2022-02-22       Impact factor: 4.903

4.  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

  4 in total

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