Journal article
Computed Tomography Assessment of Response to Therapy: Tumor Volume Change Measurement, Truth Data, and Error
Translational oncology, Vol.2(4), pp.216-222
12/2009
DOI: 10.1593/tlo.09226
PMID: 19956381
Abstract
RATIONALE AND OBJECTIVES: This article describes issues and methods that are specific to the measurement of change in tumor volume as measured from computed tomographic (CT) images and how these would relate to the establishment of CT tumor volumetrics as a biomarker of patient response to therapy. The primary focus is on the measurement of lung tumors, but the approach should be generalizable to other anatomic regions. MATERIALS AND METHODS: The first issues addressed are the various sources of bias and variance in the measurement of tumor volumes, which are discussed in the context of measurement variation and its impact on the early detection of response to therapy. RESULTS AND RESOURCES: Research that seeks to identify the magnitude of some of these sources of error is ongoing, and several of these efforts are described herein. In addition, several resources for these investigations are being made available through the National Institutes of Health-funded Reference Image Database to Evaluate Response to therapy in cancer project, and these are described as well. Other measures derived from CT image data that might be predictive of patient response are described briefly, as well as the additional issues that each of these metrics may encounter in real-life applications. CONCLUSIONS: The article concludes with a brief discussion of moving from the assessment of measurement variation to the steps necessary to establish the efficacy of a metric as a biomarker for response.
Details
- Title: Subtitle
- Computed Tomography Assessment of Response to Therapy: Tumor Volume Change Measurement, Truth Data, and Error
- Creators
- Michael F McNitt-Gray - Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USALuc M Bidaut - Department of Imaging Physics, Division of Diagnostic Imaging, UT-MD Anderson Cancer Center, Houston, TX, USASamuel G Armato - Department of Radiology, University of Chicago, Chicago, IL, USACharles R Meyer - Department of Radiology, University of Michigan, Ann Arbor, MI, USAMarios A Gavrielides - Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USACharles Fenimore - National Institute of Standards and Technology, Gaithersburg, MD, USAGeoffrey McLennan - Department of Internal Medicine, School of Medicine, University of Iowa, Iowa City, IA, USANicholas Petrick - Department of Radiology, University of Michigan, Ann Arbor, MI, USABinsheng Zhao - Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY, USAAnthony P Reeves - Biomedical Engineering, School of EECS, Cornell University, Ithaca, NY, USAReinhard Beichel - Department of Radiology, University of Iowa, Iowa City, IA, USAHyun-Jung (Grace) Kim - Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USALisa Kinnard - Department of Radiology, University of Michigan, Ann Arbor, MI, USA
- Resource Type
- Journal article
- Publication Details
- Translational oncology, Vol.2(4), pp.216-222
- DOI
- 10.1593/tlo.09226
- PMID
- 19956381
- NLM abbreviation
- Transl Oncol
- ISSN
- 1936-5233
- eISSN
- 1936-5233
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 12/2009
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984083244102771
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