Literature DB >> 28112557

Radiology Reports With Hyperlinks Improve Target Lesion Selection and Measurement Concordance in Cancer Trials.

Laura B Machado1, Andrea B Apolo2, Seth M Steinberg3, Les R Folio1.   

Abstract

OBJECTIVE: Radiology reports often lack the measurements of target lesions that are needed for oncology clinical trials. When available, the measurements in the radiology reports often do not match those in the records used to calculate therapeutic response. This study assessed the clinical value of hyperlinked tumor measurements in multimedia-enhanced radiology reports in the PACS and the inclusion of a radiologist assistant in the process of assessing tumor burden.
MATERIALS AND METHODS: We assessed 489 target lesions in 232 CT examinations of 71 patients with metastatic genitourinary cancer enrolled in two therapeutic trials. We analyzed target lesion selection and measurement concordance between oncology records (used to calculate therapeutic response) and two types of radiology reports in the PACS: multimedia-enhanced radiology reports and text-only reports. For statistical tests, we used the Wilcoxon signed rank, Wilcoxon rank sum test, and Fisher method to combine p values from the paired and unpaired results. The Fisher exact test was used to compare overall measurement concordance.
RESULTS: Concordance on target lesion selection was greater for multimedia-enhanced radiology reports (78%) than the text-only reports (52%) (p = 0.0050). There was also improved overall measurement concordance with the multimedia-enhanced radiology reports (68%) compared with the text-only reports (38%) (p < 0.0001).
CONCLUSION: Compared with text-only reports, hyperlinked multimedia-enhanced radiology reports improved concordance of target lesion selection and measurement with the measurements used to calculate therapeutic response.

Entities:  

Keywords:  Response Evaluation Criteria in Solid Tumors (RECIST) 1.1; hyperlinks; multimedia; radiology reports; tumor assessment

Mesh:

Year:  2017        PMID: 28112557      PMCID: PMC6762032          DOI: 10.2214/AJR.16.16845

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  21 in total

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Journal:  Med Image Anal       Date:  1998-03       Impact factor: 8.545

2.  Tumour size measurement in an oncology clinical trial: comparison between off-site and on-site measurements.

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3.  Intra- and interobserver variability in CT measurements in oncology.

Authors:  Aoife McErlean; David M Panicek; Emily C Zabor; Chaya S Moskowitz; Richard Bitar; Robert J Motzer; Hedvig Hricak; Michelle S Ginsberg
Journal:  Radiology       Date:  2013-07-03       Impact factor: 11.105

4.  Toward best practices in radiology reporting.

Authors:  Charles E Kahn; Curtis P Langlotz; Elizabeth S Burnside; John A Carrino; David S Channin; David M Hovsepian; Daniel L Rubin
Journal:  Radiology       Date:  2009-09       Impact factor: 11.105

5.  Quantitative imaging in oncology patients: Part 1, radiology practice patterns 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.  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

7.  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

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.  Automated registration, segmentation, and measurement of metastatic melanoma tumors in serial CT scans.

Authors:  Les R Folio; Michael M Choi; Jeffrey M Solomon; Nicholas P Schaub
Journal:  Acad Radiol       Date:  2013-03-07       Impact factor: 3.173

10.  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

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  5 in total

1.  DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning.

Authors:  Ke Yan; Xiaosong Wang; Le Lu; Ronald M Summers
Journal:  J Med Imaging (Bellingham)       Date:  2018-07-20

Review 2.  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

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

Authors:  Nikhil Goyal; Andrea B Apolo; Eliana D Berman; Mohammad Hadi Bagheri; Jason E Levine; John W Glod; Rosandra N Kaplan; Laura B Machado; Les R Folio
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

4.  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

5.  Discrepancies of assessments in a RECIST 1.1 phase II clinical trial - association between adjudication rate and variability in images and tumors selection.

Authors:  Hubert Beaumont; Tracey L Evans; Catherine Klifa; Ali Guermazi; Sae Rom Hong; Mustapha Chadjaa; Zsuzsanna Monostori
Journal:  Cancer Imaging       Date:  2018-12-11       Impact factor: 3.909

  5 in total

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