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Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources.

Publication ,  Journal Article
Meyer, CR; Armato, SG; Fenimore, CP; McLennan, G; Bidaut, LM; Barboriak, DP; Gavrielides, MA; Jackson, EF; McNitt-Gray, MF; Kinahan, PE ...
Published in: Transl Oncol
December 2009

RATIONALE: Early detection of tumor response to therapy is a key goal. Finding measurement algorithms capable of early detection of tumor response could individualize therapy treatment as well as reduce the cost of bringing new drugs to market. On an individual basis, the urgency arises from the desire to prevent continued treatment of the patient with a high-cost and/or high-risk regimen with no demonstrated individual benefit and rapidly switch the patient to an alternative efficacious therapy for that patient. In the context of bringing new drugs to market, such algorithms could demonstrate efficacy in much smaller populations, which would allow phase 3 trials to achieve statistically significant decisions with fewer subjects in shorter trials. MATERIALS AND METHODS: This consensus-based article describes multiple, image modality-independent means to assess the relative performance of algorithms for measuring tumor change in response to therapy. In this setting, we describe specifically the example of measurement of tumor volume change from anatomic imaging as well as provide an overview of other promising generic analytic methods that can be used to assess change in heterogeneous tumors. To support assessment of the relative performance of algorithms for measuring small tumor change, data sources of truth are required. RESULTS: Very short interval clinical imaging examinations and phantom scans provide known truth for comparative evaluation of algorithms. CONCLUSIONS: For a given category of measurement methods, the algorithm that has the smallest measurement noise and least bias on average will perform best in early detection of true tumor change.

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Published In

Transl Oncol

DOI

EISSN

1936-5233

Publication Date

December 2009

Volume

2

Issue

4

Start / End Page

198 / 210

Location

United States

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 3101 Biochemistry and cell biology
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences
  • 0601 Biochemistry and Cell Biology
 

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Meyer, C. R., Armato, S. G., Fenimore, C. P., McLennan, G., Bidaut, L. M., Barboriak, D. P., … Zhao, B. (2009). Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources. Transl Oncol, 2(4), 198–210. https://doi.org/10.1593/tlo.09208
Meyer, Charles R., Samuel G. Armato, Charles P. Fenimore, Geoffrey McLennan, Luc M. Bidaut, Daniel P. Barboriak, Marios A. Gavrielides, et al. “Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources.Transl Oncol 2, no. 4 (December 2009): 198–210. https://doi.org/10.1593/tlo.09208.
Meyer CR, Armato SG, Fenimore CP, McLennan G, Bidaut LM, Barboriak DP, et al. Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources. Transl Oncol. 2009 Dec;2(4):198–210.
Meyer, Charles R., et al. “Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources.Transl Oncol, vol. 2, no. 4, Dec. 2009, pp. 198–210. Pubmed, doi:10.1593/tlo.09208.
Meyer CR, Armato SG, Fenimore CP, McLennan G, Bidaut LM, Barboriak DP, Gavrielides MA, Jackson EF, McNitt-Gray MF, Kinahan PE, Petrick N, Zhao B. Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources. Transl Oncol. 2009 Dec;2(4):198–210.
Journal cover image

Published In

Transl Oncol

DOI

EISSN

1936-5233

Publication Date

December 2009

Volume

2

Issue

4

Start / End Page

198 / 210

Location

United States

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 3101 Biochemistry and cell biology
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences
  • 0601 Biochemistry and Cell Biology