4.7 Article

Assessment of Imaging Modalities and Response Metrics in Ewing Sarcoma: Correlation With Survival

Journal

JOURNAL OF CLINICAL ONCOLOGY
Volume 34, Issue 30, Pages 3680-+

Publisher

AMER SOC CLINICAL ONCOLOGY
DOI: 10.1200/JCO.2016.68.1858

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Funding

  1. Radiological Society of North America
  2. Quantitative Imaging Biomarker Alliance
  3. Sarcoma Alliance for Research Through Collaboration (SARC)
  4. National Institutes of Health (NIH) [HHSN268201000050C]
  5. National Cancer Institute (NCI) [U01 CA140204, CA140207]
  6. NIH/NCI SARC Sarcoma Specialized Programs of Research Excellence Grant [1 U54 CA168512-01]

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Purpose Despite the rapidly increasing use of [F-18]fluorodeoxyglucose (FDG) -positron emission tomography (PET), the comparison of anatomic and functional imaging in the assessment of clinical outcomes has been lacking. In addition, there has not been a rigorous evaluation of how common radiologic criteria or the location of the radiology reader (local v central) compare in the ability to predict benefit. In this study, we aimed to compare the effectiveness of various radiologic response assessments for the prediction of overall survival (OS) within the same data set of patients with sarcoma. Methods We analyzed assessments made during a clinical trial of a novel IGF1R antibody in Ewing sarcoma: PET Response Criteria in Solid Tumors (PERCIST) for functional imaging and WHO criteria (performed locally and centrally), RECIST, and volumetric analysis for anatomic imaging. We compared the effectiveness of the various criteria for the prediction of progression and survival. Results For volume analysis, progression-defined as cumulative lesion volume increase of 100% at 6 weeks-was the optimal cutoff for decreased OS (P < .001). Assessment of the day-9 FDG-PET scan was associated with reduced OS in progressors compared with nonprogressors (P = .001) and with improved OS in responders compared with nonresponders. Significant variations in response (18% to 44%) and progression (9% to 50%) were observed between the different criteria. The comparison of central and local interpretation of anatomic imaging produced similar outcomes. PET was superior to anatomic imaging in identification of a response. Volume analysis identified the most responders among the anatomic imaging criteria. Conclusion An early signal with FDG-PET on day 9 and volume analysis were the best predictors of benefit. Validation of the volumetric analysis is required. (C) 2016 by American Society of Clinical Oncology

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