A simulation study to evaluate the impact of the number of lesions measured on response assessment Journal Article


Authors: Moskowitz, C. S.; Jia, X.; Schwartz, L. H.; Gonen, M.
Article Title: A simulation study to evaluate the impact of the number of lesions measured on response assessment
Abstract: The objectives of this study were to evaluate whether the number of lesions that are used to measure tumour burden affects response assessment and inter-rater variability. In order to accomplish this, a simulation study was conducted. Data were generated from a mixed-effects mixture model. Parameter values to input in the model were obtained from the analysis of real data. Response assessments based on 10, five, three, two and one lesion were evaluated. There was little difference between response assessments based on five lesions and response assessments based on 10 lesions. When fewer than five lesions were used to assess response, there were notable differences from the 10 lesion-based response assessment. Basing response assessment on a small number of lesions tends to overestimate response rates and leads to misclassification of patients' response status. Therefore, measuring five lesions per patient appears to sufficiently capture patients' response to therapy. Measuring fewer than five lesions results in the loss of information that may adversely affect clinical trial results as well as patient management. © 2008 Elsevier Ltd. All rights reserved.
Keywords: treatment outcome; treatment response; cancer growth; clinical trials as topic; outcome assessment; neoplasms; models, biological; observer variation; tomography, x-ray computed; cancer therapy; simulation; tumor burden; disease progression; computer simulation; cancer imaging; ct imaging; inter-reader variability; random effects model; recist criteria; response to therapy
Journal Title: European Journal of Cancer
Volume: 45
Issue: 2
ISSN: 0959-8049
Publisher: Elsevier Inc.  
Date Published: 2009-01-01
Start Page: 300
End Page: 310
Language: English
DOI: 10.1016/j.ejca.2008.11.010
PUBMED: 19095439
PROVIDER: scopus
PMCID: PMC2652848
DOI/URL:
Notes: --- - "Cited By (since 1996): 8" - "Export Date: 30 November 2010" - "CODEN: EJCAE" - "Source: Scopus"
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  1. Mithat Gonen
    1028 Gonen
  2. Xiaoyu Jia
    46 Jia
  3. Lawrence H Schwartz
    306 Schwartz
  4. Chaya S. Moskowitz
    278 Moskowitz