Laura B Machado1, Andrea B Apolo2, Seth M Steinberg3, Les R Folio1. 1. 1 Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 9000 Rockville Pike, Bldg 10, Bethesda, MD 20892. 2. 2 Genitourinary Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD. 3. 3 Biostatistics and Data Management Section, Office of the Clinical Director, National Cancer Institute, Rockville, MD.
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.
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.
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
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
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
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
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
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