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Data sets for the qualification of volumetric CT as a quantitative imaging biomarker in lung cancerA. J. Buckler, L. H. Schwartz, N. Petrick, M. McNitt-Gray, B. Zhao, C. Fenimore, A. P. Reeves, P. D. Mozley, and R. S. Avila »View Author Affiliations
A. J. Buckler,1,*
L. H. Schwartz,2
N. Petrick,3
M. McNitt-Gray,4
B. Zhao,2
C. Fenimore,5
A. P. Reeves,6
P. D. Mozley,7,8
and R. S. Avila9
1Buckler Biomedical LLC, Wenham, MA, USA 2Columbia University, New York, NY, USA 3Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA 4David Geffen School of Medicine at UCLA, Los Angeles, CA, USA 5National Institute of Standards and Technology, Gaithersburg, MD, USA 6Cornell University, Ithaca, NY, USA 7Merck Research Laboratories, West Point, PA, USA 8Extended Pharma Imaging Group 9Kitware Inc., Clifton Park, NY, USA *Corresponding author: andrew@bucklerbiomedical.com |
Optics Express, Vol. 18, Issue 14, pp. 15267-15282 (2010)
http://dx.doi.org/10.1364/OE.18.015267
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Abstract
The drug development industry is faced with increasing costs and decreasing success rates. New ways to understand biology as well as the increasing interest in personalized treatments for smaller patient segments requires new capabilities for the rapid assessment of treatment responses. Deployment of qualified imaging biomarkers lags apparent technology capabilities. The lack of consensus methods and qualification evidence needed for large-scale multi-center trials, as well as the standardization that allows them, are widely acknowledged to be the limiting factors. The current fragmentation in imaging vendor offerings, coupled with the independent activities of individual biopharmaceutical companies and their contract research organizations (CROs), may stand in the way of the greater opportunity were these efforts to be drawn together. A preliminary report, “Volumetric CT: a potential biomarker of response,” of the Quantitative Imaging Biomarkers Alliance (QIBA) activity was presented at the Medical Imaging Continuum: Path Forward for Advancing the Uses of Medical Imaging in the Development of New Biopharmaceutical Products meeting of the Extended Pharmaceutical Research and Manufacturers of America (PhRMA) Imaging Group sponsored by the Drug Information Agency (DIA) in October 2008. The clinical context in Lung Cancer and a methodology for approaching the qualification of volumetric CT as a biomarker has since been reported [Acad. Radiol. 17, 100–106, 107–115 (2010)]. This report reviews the effort to collect and utilize publicly available data sets to provide a transparent environment in which to pursue the qualification activities in such a way as to allow independent peer review and verification of results. This article focuses specifically on our role as stewards of image sets for developing new tools.
© 2010 OSA
OCIS Codes
(110.2960) Imaging systems : Image analysis
(100.3008) Image processing : Image recognition, algorithms and filters
History
Original Manuscript: March 22, 2010
Revised Manuscript: June 11, 2010
Manuscript Accepted: June 11, 2010
Published: July 2, 2010
Virtual Issues
Vol. 5, Iss. 11 Virtual Journal for Biomedical Optics
Imaging in Diagnosis and Treatment of Lung Cancer (2010) Optics Express
Citation
A. J. Buckler, L. H. Schwartz, N. Petrick, M. McNitt-Gray, B. Zhao, C. Fenimore, A. P. Reeves, P. D. Mozley, and R. S. Avila, "Data sets for the qualification of volumetric CT as a quantitative imaging biomarker in lung cancer," Opt. Express 18, 15267-15282 (2010)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-18-14-15267
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- K. Marten, F. Auer, S. Schmidt, G. Kohl, E. J. Rummeny, and C. Engelke, “Inadequacy of manual measurements compared to automated CT volumetry in assessment of treatment response of pulmonary metastases using RECIST criteria,” Eur. Radiol. 16(4), 781–790 (2006). [CrossRef]
- M.-P. Revel, C. Lefort, A. Bissery, M. Bienvenu, L. Aycard, G. Chatellier, and G. Frija, “Pulmonary nodules: preliminary experience with three-dimensional evaluation,” Radiology 231(2), 459–466 (2004). [CrossRef] [PubMed]
- C. R. Meyer, S. G. Armato, C. P. Fenimore, G. McLennan, L. M. Bidaut, D. P. Barboriak, M. A. Gavrielides, E. F. Jackson, M. F. McNitt-Gray, P. E. Kinahan, N. Petrick, and B. Zhao, “Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources,” Transl. Oncol. 2(4), 198–210 (2009). [PubMed]
- N. Altorki, J. Heymach, M. Guarino, P. Lee, E. Felip, T. Bauer, S. Swann, D. Roychowdhury, L. H. Ottesen, and D. Yankelevitz, “Phase II study of pazopanib (GW786034) given preoperatively in stage I–II non-small cell lung cancer (NSCLC): a proof-of-concept study,” Ann. Oncol. 19(Supplement 8), 124 (2008).
- E. Nioutsikou, N. Richard, J. Symonds-Tayler, J. L. Bedford, and S. Webb, “Quantifying the effect of respiratory motion on lung tumour dosimetry with the aid of a breathing phantom with deforming lungs,” Phys. Med. Biol. 51, 3359–3374 (2006). [CrossRef] [PubMed]
- M. F. McNitt-Gray, L. M. Bidaut, S. G. Armato, C. R. Meyer, M. A. Gavrielides, C. Fenimore, G. McLennan, N. Petrick, B. Zhao, A. P. Reeves, R. Beichel, H. J. Kim, and L. Kinnard, “Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error,” Transl. Oncol. 2(4), 216–222 (2009). [PubMed]
- A. P. Reeves, A. M. Biancardi, T. V. Apanasovich, C. R. Meyer, H. MacMahon, E. J. van Beek, E. A. Kazerooni, D. Yankelevitz, M. F. McNitt-Gray, G. McLennan, S. G. Armato, C. I. Henschke, D. R. Aberle, B. Y. Croft, and L. P. Clarke, “The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements,” Acad. Radiol. 14(12), 1475–1485 (2007). [CrossRef] [PubMed]
- M. F. McNitt-Gray, L. M. Bidaut, S. G. Armato, C. R. Meyer, M. A. Gavrielides, C. Fenimore, G. McLennan, N. Petrick, B. Zhao, A. P. Reeves, R. Beichel, H. J. Kim, and L. Kinnard, “Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error,” Transl. Oncol. 2(4), 216–222 (2009). [PubMed]
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- J. J. Erasmus, G. W. Gladish, L. Broemeling, B. S. Sabloff, M. T. Truong, R. S. Herbst, and R. F. Munden, “Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response,” J. Clin. Oncol. 21(13), 2574–2582 (2003). [CrossRef] [PubMed]
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- M. F. McNitt-Gray, L. M. Bidaut, S. G. Armato, C. R. Meyer, M. A. Gavrielides, C. Fenimore, G. McLennan, N. Petrick, B. Zhao, A. P. Reeves, R. Beichel, H. J. Kim, and L. Kinnard, “Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error,” Transl. Oncol. 2(4), 216–222 (2009). [PubMed]
- M. M. Goodsitt, H.-P. Chan, T. W. Way, S. C. Larson, E. G. Christodoulou, and J. Kim, “Accuracy of the CT numbers of simulated lung nodules imaged with multi-detector CT scanners,” Med. Phys. 33(8), 3006–3017 (2006). [CrossRef] [PubMed]
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- B. Zhao, L. P. James, C. S. Moskowitz, P. Guo, M. S. Ginsberg, R. A. Lefkowitz, Y. Qin, G. J. Riely, M. G. Kris, and L. H. Schwartz, “Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer,” Radiology 252(1), 263–272 (2009). [CrossRef] [PubMed]
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- B. Zhao, L. P. James, C. S. Moskowitz, P. Guo, M. S. Ginsberg, R. A. Lefkowitz, Y. Qin, G. J. Riely, M. G. Kris, and L. H. Schwartz, “Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer,” Radiology 252(1), 263–272 (2009). [CrossRef] [PubMed]
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- N. Petrick, D. G. Brown, O. Suleiman, and K. J. Myers, “Imaging as a tumor biomarker in oncology drug trials for lung cancer: the FDA perspective,” Clin. Pharmacol. Ther. 84(4), 523–525 (2008). [CrossRef] [PubMed]
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- M. F. McNitt-Gray, L. M. Bidaut, S. G. Armato, C. R. Meyer, M. A. Gavrielides, C. Fenimore, G. McLennan, N. Petrick, B. Zhao, A. P. Reeves, R. Beichel, H. J. Kim, and L. Kinnard, “Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error,” Transl. Oncol. 2(4), 216–222 (2009). [PubMed]
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- N. Altorki, J. Heymach, M. Guarino, P. Lee, E. Felip, T. Bauer, S. Swann, D. Roychowdhury, L. H. Ottesen, and D. Yankelevitz, “Phase II study of pazopanib (GW786034) given preoperatively in stage I–II non-small cell lung cancer (NSCLC): a proof-of-concept study,” Ann. Oncol. 19(Supplement 8), 124 (2008).
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- K. Marten, F. Auer, S. Schmidt, G. Kohl, E. J. Rummeny, and C. Engelke, “Inadequacy of manual measurements compared to automated CT volumetry in assessment of treatment response of pulmonary metastases using RECIST criteria,” Eur. Radiol. 16(4), 781–790 (2006). [CrossRef]
- J. J. Erasmus, G. W. Gladish, L. Broemeling, B. S. Sabloff, M. T. Truong, R. S. Herbst, and R. F. Munden, “Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response,” J. Clin. Oncol. 21(13), 2574–2582 (2003). [CrossRef] [PubMed]
- T. W. Way, H.-P. Chan, M. M. Goodsitt, B. Sahiner, L. M. Hadjiiski, C. Zhou, and A. Chughtai, “Effect of CT scanning parameters on volumetric measurements of pulmonary nodules by 3D active contour segmentation: a phantom study,” Phys. Med. Biol. 53(5), 1295–1312 (2008). [CrossRef] [PubMed]
- 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, and J. Verweij, “New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1),” Eur. J. Cancer 45(2), 228–247 (2009). [CrossRef]
- L. P. Clarke, R. D. Sriram, and L. B. Schilling, “Imaging as a biomarker: standards for change measurements in therapy workshop summary,” Acad. Radiol. 15(4), 501–530 (2008). [CrossRef] [PubMed]
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- L. Schwartz, S. Curran, R. Trocola, J. Randazzo, D. Ilson, D. Kelsen, and M. Shah, “Volumetric 3D CT analysis–an early predictor of response to therapy,” J. Clin. Oncol. 25(18S), 4576 (2007).
- 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, and J. Verweij, “New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1),” Eur. J. Cancer 45(2), 228–247 (2009). [CrossRef]
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- B. Zhao, L. H. Schwartz, C. S. Moskowitz, M. S. Ginsberg, N. A. Rizvi, and M. G. Kris, “Lung cancer: computerized quantification of tumor response--initial results,” Radiology 241(3), 892–898 (2006). [CrossRef] [PubMed]
- L. Schwartz, S. Curran, R. Trocola, J. Randazzo, D. Ilson, D. Kelsen, and M. Shah, “Volumetric 3D CT analysis–an early predictor of response to therapy,” J. Clin. Oncol. 25(18S), 4576 (2007).
- 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, and J. Verweij, “New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1),” Eur. J. Cancer 45(2), 228–247 (2009). [CrossRef]
- L. P. Clarke, R. D. Sriram, and L. B. Schilling, “Imaging as a biomarker: standards for change measurements in therapy workshop summary,” Acad. Radiol. 15(4), 501–530 (2008). [CrossRef] [PubMed]
- N. Petrick, D. G. Brown, O. Suleiman, and K. J. Myers, “Imaging as a tumor biomarker in oncology drug trials for lung cancer: the FDA perspective,” Clin. Pharmacol. Ther. 84(4), 523–525 (2008). [CrossRef] [PubMed]
- N. Altorki, J. Heymach, M. Guarino, P. Lee, E. Felip, T. Bauer, S. Swann, D. Roychowdhury, L. H. Ottesen, and D. Yankelevitz, “Phase II study of pazopanib (GW786034) given preoperatively in stage I–II non-small cell lung cancer (NSCLC): a proof-of-concept study,” Ann. Oncol. 19(Supplement 8), 124 (2008).
- E. Nioutsikou, N. Richard, J. Symonds-Tayler, J. L. Bedford, and S. Webb, “Quantifying the effect of respiratory motion on lung tumour dosimetry with the aid of a breathing phantom with deforming lungs,” Phys. Med. Biol. 51, 3359–3374 (2006). [CrossRef] [PubMed]
- J. E. Munzenrider, M. Pilepich, J. B. Rene-Ferrero, I. Tchakarova, and B. L. Carter, “Use of body scanner in radiotherapy treatment planning,” Cancer 40(1), 170–179 (1977). [CrossRef] [PubMed]
- 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, and J. Verweij, “New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1),” Eur. J. Cancer 45(2), 228–247 (2009). [CrossRef]
- L. Schwartz, S. Curran, R. Trocola, J. Randazzo, D. Ilson, D. Kelsen, and M. Shah, “Volumetric 3D CT analysis–an early predictor of response to therapy,” J. Clin. Oncol. 25(18S), 4576 (2007).
- J. J. Erasmus, G. W. Gladish, L. Broemeling, B. S. Sabloff, M. T. Truong, R. S. Herbst, and R. F. Munden, “Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response,” J. Clin. Oncol. 21(13), 2574–2582 (2003). [CrossRef] [PubMed]
- A. P. Reeves, A. M. Biancardi, T. V. Apanasovich, C. R. Meyer, H. MacMahon, E. J. van Beek, E. A. Kazerooni, D. Yankelevitz, M. F. McNitt-Gray, G. McLennan, S. G. Armato, C. I. Henschke, D. R. Aberle, B. Y. Croft, and L. P. Clarke, “The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements,” Acad. Radiol. 14(12), 1475–1485 (2007). [CrossRef] [PubMed]
- 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, and J. Verweij, “New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1),” Eur. J. Cancer 45(2), 228–247 (2009). [CrossRef]
- T. W. Way, H.-P. Chan, M. M. Goodsitt, B. Sahiner, L. M. Hadjiiski, C. Zhou, and A. Chughtai, “Effect of CT scanning parameters on volumetric measurements of pulmonary nodules by 3D active contour segmentation: a phantom study,” Phys. Med. Biol. 53(5), 1295–1312 (2008). [CrossRef] [PubMed]
- M. M. Goodsitt, H.-P. Chan, T. W. Way, S. C. Larson, E. G. Christodoulou, and J. Kim, “Accuracy of the CT numbers of simulated lung nodules imaged with multi-detector CT scanners,” Med. Phys. 33(8), 3006–3017 (2006). [CrossRef] [PubMed]
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- N. Altorki, J. Heymach, M. Guarino, P. Lee, E. Felip, T. Bauer, S. Swann, D. Roychowdhury, L. H. Ottesen, and D. Yankelevitz, “Phase II study of pazopanib (GW786034) given preoperatively in stage I–II non-small cell lung cancer (NSCLC): a proof-of-concept study,” Ann. Oncol. 19(Supplement 8), 124 (2008).
- A. P. Reeves, A. M. Biancardi, T. V. Apanasovich, C. R. Meyer, H. MacMahon, E. J. van Beek, E. A. Kazerooni, D. Yankelevitz, M. F. McNitt-Gray, G. McLennan, S. G. Armato, C. I. Henschke, D. R. Aberle, B. Y. Croft, and L. P. Clarke, “The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements,” Acad. Radiol. 14(12), 1475–1485 (2007). [CrossRef] [PubMed]
- M. A. Gavrielides, L. M. Kinnard, K. J. Myers, J. Peregoy, W. F. Pritchard, R. Zeng, J. Esparza, J. Karanian, and N. Petrick, “A resource for the development of methodologies for lung nodule size estimation: database of thoracic CT scans of an anthropomorphic phantom,” Opt. Express 18(14), 15244–15255 (2010). [CrossRef] [PubMed]
- M. A. Gavrielides, R. Zeng, L. M. Kinnard, K. J. Myers, and N. Petrick, “A template-based approach for the analysis of lung nodules in a volumetric CT phantom study,” Proc. SPIE 7260, 726009–726011 (2009). [CrossRef]
- M. F. McNitt-Gray, L. M. Bidaut, S. G. Armato, C. R. Meyer, M. A. Gavrielides, C. Fenimore, G. McLennan, N. Petrick, B. Zhao, A. P. Reeves, R. Beichel, H. J. Kim, and L. Kinnard, “Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error,” Transl. Oncol. 2(4), 216–222 (2009). [PubMed]
- C. R. Meyer, S. G. Armato, C. P. Fenimore, G. McLennan, L. M. Bidaut, D. P. Barboriak, M. A. Gavrielides, E. F. Jackson, M. F. McNitt-Gray, P. E. Kinahan, N. Petrick, and B. Zhao, “Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources,” Transl. Oncol. 2(4), 198–210 (2009). [PubMed]
- B. Zhao, L. P. James, C. S. Moskowitz, P. Guo, M. S. Ginsberg, R. A. Lefkowitz, Y. Qin, G. J. Riely, M. G. Kris, and L. H. Schwartz, “Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer,” Radiology 252(1), 263–272 (2009). [CrossRef] [PubMed]
- B. Zhao, L. H. Schwartz, C. S. Moskowitz, M. S. Ginsberg, N. A. Rizvi, and M. G. Kris, “Lung cancer: computerized quantification of tumor response--initial results,” Radiology 241(3), 892–898 (2006). [CrossRef] [PubMed]
- T. W. Way, H.-P. Chan, M. M. Goodsitt, B. Sahiner, L. M. Hadjiiski, C. Zhou, and A. Chughtai, “Effect of CT scanning parameters on volumetric measurements of pulmonary nodules by 3D active contour segmentation: a phantom study,” Phys. Med. Biol. 53(5), 1295–1312 (2008). [CrossRef] [PubMed]
Acad. Radiol.
- N. R. Bogot, E. A. Kazerooni, A. M. Kelly, L. E. Quint, B. Desjardins, and B. Nan, “Interobserver and intraobserver variability in the assessment of pulmonary nodule size on CT using film and computer display methods,” Acad. Radiol. 12(8), 948–956 (2005). [CrossRef] [PubMed]
- L. P. Clarke, R. D. Sriram, and L. B. Schilling, “Imaging as a biomarker: standards for change measurements in therapy workshop summary,” Acad. Radiol. 15(4), 501–530 (2008). [CrossRef] [PubMed]
- A. P. Reeves, A. M. Biancardi, T. V. Apanasovich, C. R. Meyer, H. MacMahon, E. J. van Beek, E. A. Kazerooni, D. Yankelevitz, M. F. McNitt-Gray, G. McLennan, S. G. Armato, C. I. Henschke, D. R. Aberle, B. Y. Croft, and L. P. Clarke, “The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements,” Acad. Radiol. 14(12), 1475–1485 (2007). [CrossRef] [PubMed]
Ann. Oncol.
- N. Altorki, J. Heymach, M. Guarino, P. Lee, E. Felip, T. Bauer, S. Swann, D. Roychowdhury, L. H. Ottesen, and D. Yankelevitz, “Phase II study of pazopanib (GW786034) given preoperatively in stage I–II non-small cell lung cancer (NSCLC): a proof-of-concept study,” Ann. Oncol. 19(Supplement 8), 124 (2008).
- P. D. Mozley, L. H. Schwartz, C. Bendtsen, B. Zhao, N. Petrick, and A. J. Buckler, “Change in lung tumor volume as a biomarker of treatment response: A critical review of the evidence,” Ann. Oncol. (to be published). [PubMed]
Br. J. Cancer Suppl.
- J. M. Quivey, J. R. Castro, G. T. Chen, A. Moss, and W. M. Marks, “Computerized tomography in the quantitative assessment of tumour response,” Br. J. Cancer Suppl. 4, 30–34 (1980). [PubMed]
Cancer
- C. G. Moertel and J. A. Hanley, “The effect of measuring error on the results of therapeutic trials in advanced cancer,” Cancer 38(1), 388–394 (1976). [CrossRef] [PubMed]
- J. E. Munzenrider, M. Pilepich, J. B. Rene-Ferrero, I. Tchakarova, and B. L. Carter, “Use of body scanner in radiotherapy treatment planning,” Cancer 40(1), 170–179 (1977). [CrossRef] [PubMed]
Clin. Pharmacol. Ther.
- G. McLennan, L. P. Clarke, and R. J. Hohl, “Imaging as a biomarker for therapy response: cancer as a prototype for the creation of research resources,” Clin. Pharmacol. Ther. 84(4), 433–436 (2008). [CrossRef] [PubMed]
- S. G. Armato, C. R. Meyer, M. F. Mcnitt-Gray, G. McLennan, A. P. Reeves, B. Y. Croft, L. P. Clarke, and RIDER Research Group, “The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software,” Clin. Pharmacol. Ther. 84(4), 448–456 (2008). [CrossRef] [PubMed]
- N. Petrick, D. G. Brown, O. Suleiman, and K. J. Myers, “Imaging as a tumor biomarker in oncology drug trials for lung cancer: the FDA perspective,” Clin. Pharmacol. Ther. 84(4), 523–525 (2008). [CrossRef] [PubMed]
Eur. J. Cancer
- 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, and J. Verweij, “New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1),” Eur. J. Cancer 45(2), 228–247 (2009). [CrossRef]
Eur. Radiol.
- K. Marten, F. Auer, S. Schmidt, G. Kohl, E. J. Rummeny, and C. Engelke, “Inadequacy of manual measurements compared to automated CT volumetry in assessment of treatment response of pulmonary metastases using RECIST criteria,” Eur. Radiol. 16(4), 781–790 (2006). [CrossRef]
J. Clin. Oncol.
- J. J. Erasmus, G. W. Gladish, L. Broemeling, B. S. Sabloff, M. T. Truong, R. S. Herbst, and R. F. Munden, “Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response,” J. Clin. Oncol. 21(13), 2574–2582 (2003). [CrossRef] [PubMed]
- L. Schwartz, S. Curran, R. Trocola, J. Randazzo, D. Ilson, D. Kelsen, and M. Shah, “Volumetric 3D CT analysis–an early predictor of response to therapy,” J. Clin. Oncol. 25(18S), 4576 (2007).
Med. Phys.
- M. M. Goodsitt, H.-P. Chan, T. W. Way, S. C. Larson, E. G. Christodoulou, and J. Kim, “Accuracy of the CT numbers of simulated lung nodules imaged with multi-detector CT scanners,” Med. Phys. 33(8), 3006–3017 (2006). [CrossRef] [PubMed]
Opt. Express
- M. A. Gavrielides, L. M. Kinnard, K. J. Myers, J. Peregoy, W. F. Pritchard, R. Zeng, J. Esparza, J. Karanian, and N. Petrick, “A resource for the development of methodologies for lung nodule size estimation: database of thoracic CT scans of an anthropomorphic phantom,” Opt. Express 18(14), 15244–15255 (2010). [CrossRef] [PubMed]
Phys. Med. Biol.
- E. Nioutsikou, N. Richard, J. Symonds-Tayler, J. L. Bedford, and S. Webb, “Quantifying the effect of respiratory motion on lung tumour dosimetry with the aid of a breathing phantom with deforming lungs,” Phys. Med. Biol. 51, 3359–3374 (2006). [CrossRef] [PubMed]
- T. W. Way, H.-P. Chan, M. M. Goodsitt, B. Sahiner, L. M. Hadjiiski, C. Zhou, and A. Chughtai, “Effect of CT scanning parameters on volumetric measurements of pulmonary nodules by 3D active contour segmentation: a phantom study,” Phys. Med. Biol. 53(5), 1295–1312 (2008). [CrossRef] [PubMed]
Proc. SPIE
- M. A. Gavrielides, R. Zeng, L. M. Kinnard, K. J. Myers, and N. Petrick, “A template-based approach for the analysis of lung nodules in a volumetric CT phantom study,” Proc. SPIE 7260, 726009–726011 (2009). [CrossRef]
Radiology
- B. Zhao, L. P. James, C. S. Moskowitz, P. Guo, M. S. Ginsberg, R. A. Lefkowitz, Y. Qin, G. J. Riely, M. G. Kris, and L. H. Schwartz, “Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer,” Radiology 252(1), 263–272 (2009). [CrossRef] [PubMed]
- M. A. Gavrielides, L. M. Kinnard, K. J. Myers, and N. Petrick, “Noncalcified lung nodules: volumetric assessment with thoracic CT,” Radiology 251(1), 26–37 (2009). [CrossRef] [PubMed]
- M.-P. Revel, C. Lefort, A. Bissery, M. Bienvenu, L. Aycard, G. Chatellier, and G. Frija, “Pulmonary nodules: preliminary experience with three-dimensional evaluation,” Radiology 231(2), 459–466 (2004). [CrossRef] [PubMed]
- B. Zhao, L. H. Schwartz, C. S. Moskowitz, M. S. Ginsberg, N. A. Rizvi, and M. G. Kris, “Lung cancer: computerized quantification of tumor response--initial results,” Radiology 241(3), 892–898 (2006). [CrossRef] [PubMed]
Transl. Oncol.
- M. F. McNitt-Gray, L. M. Bidaut, S. G. Armato, C. R. Meyer, M. A. Gavrielides, C. Fenimore, G. McLennan, N. Petrick, B. Zhao, A. P. Reeves, R. Beichel, H. J. Kim, and L. Kinnard, “Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error,” Transl. Oncol. 2(4), 216–222 (2009). [PubMed]
- C. R. Meyer, S. G. Armato, C. P. Fenimore, G. McLennan, L. M. Bidaut, D. P. Barboriak, M. A. Gavrielides, E. F. Jackson, M. F. McNitt-Gray, P. E. Kinahan, N. Petrick, and B. Zhao, “Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources,” Transl. Oncol. 2(4), 198–210 (2009). [PubMed]
Other
- http://www.via.cornell.edu/volcaman/ Draft version of the VOLCAMAN study.
- http://qibawiki.rsna.org/index.php?title=Volumetric_CT.
- A. P. Reeves, A. M. Biancardi, D. Yankelevitz, S. Fotin, B. M. Keller, A. Jirapatnakul, and J. Lee, “A public image database to support research in computer aided diagnosis,” in 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sept. 2009, pp. 3715–3718.
- http://www.via.cornell.edu/databases/crpf.html.
- http://www.grand-challenge.org/index.php/MICCAI_2010_Workshop.
- https://wiki.nci.nih.gov/display/Imaging/Algorithm+Validation+Toolkit+(AVT).
- http://www.itl.nist.gov/iad/894.05/biochange2008/Biochange2008-webpage.htm.
- A. P. Reeves, A. C. Jirapatnakul, A. M. Biancardi, et al., “The VOLCANO'09 challenge: preliminary results,” in Second International Workshop of Pulmonary Image Analysis, Sept. 2009, pp. 353–364.
- http://preventcancer.org/.
- B. Zhao, G. R. Oxnard, P. Guo, et al., “A pilot study comparing computerized volume measurement with diameter measurement as an early biomarker of the biologic activity of EGFR targeted therapy,” IASLC 13th World Conference on Lung Cancer, July 31–August 4, 2009, San Francisco, California.
2010, Gavrielides, Opt. Express
- M. A. Gavrielides, L. M. Kinnard, K. J. Myers, J. Peregoy, W. F. Pritchard, R. Zeng, J. Esparza, J. Karanian, and N. Petrick, “A resource for the development of methodologies for lung nodule size estimation: database of thoracic CT scans of an anthropomorphic phantom,” Opt. Express 18(14), 15244–15255 (2010). [CrossRef] [PubMed]
- 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, and J. Verweij, “New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1),” Eur. J. Cancer 45(2), 228–247 (2009). [CrossRef]
- M. A. Gavrielides, L. M. Kinnard, K. J. Myers, and N. Petrick, “Noncalcified lung nodules: volumetric assessment with thoracic CT,” Radiology 251(1), 26–37 (2009). [CrossRef] [PubMed]
- M. A. Gavrielides, R. Zeng, L. M. Kinnard, K. J. Myers, and N. Petrick, “A template-based approach for the analysis of lung nodules in a volumetric CT phantom study,” Proc. SPIE 7260, 726009–726011 (2009). [CrossRef]
- M. F. McNitt-Gray, L. M. Bidaut, S. G. Armato, C. R. Meyer, M. A. Gavrielides, C. Fenimore, G. McLennan, N. Petrick, B. Zhao, A. P. Reeves, R. Beichel, H. J. Kim, and L. Kinnard, “Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error,” Transl. Oncol. 2(4), 216–222 (2009). [PubMed]
- C. R. Meyer, S. G. Armato, C. P. Fenimore, G. McLennan, L. M. Bidaut, D. P. Barboriak, M. A. Gavrielides, E. F. Jackson, M. F. McNitt-Gray, P. E. Kinahan, N. Petrick, and B. Zhao, “Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources,” Transl. Oncol. 2(4), 198–210 (2009). [PubMed]
- B. Zhao, L. P. James, C. S. Moskowitz, P. Guo, M. S. Ginsberg, R. A. Lefkowitz, Y. Qin, G. J. Riely, M. G. Kris, and L. H. Schwartz, “Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer,” Radiology 252(1), 263–272 (2009). [CrossRef] [PubMed]
- T. W. Way, H.-P. Chan, M. M. Goodsitt, B. Sahiner, L. M. Hadjiiski, C. Zhou, and A. Chughtai, “Effect of CT scanning parameters on volumetric measurements of pulmonary nodules by 3D active contour segmentation: a phantom study,” Phys. Med. Biol. 53(5), 1295–1312 (2008). [CrossRef] [PubMed]
- N. Altorki, J. Heymach, M. Guarino, P. Lee, E. Felip, T. Bauer, S. Swann, D. Roychowdhury, L. H. Ottesen, and D. Yankelevitz, “Phase II study of pazopanib (GW786034) given preoperatively in stage I–II non-small cell lung cancer (NSCLC): a proof-of-concept study,” Ann. Oncol. 19(Supplement 8), 124 (2008).
- L. P. Clarke, R. D. Sriram, and L. B. Schilling, “Imaging as a biomarker: standards for change measurements in therapy workshop summary,” Acad. Radiol. 15(4), 501–530 (2008). [CrossRef] [PubMed]
- G. McLennan, L. P. Clarke, and R. J. Hohl, “Imaging as a biomarker for therapy response: cancer as a prototype for the creation of research resources,” Clin. Pharmacol. Ther. 84(4), 433–436 (2008). [CrossRef] [PubMed]
- S. G. Armato, C. R. Meyer, M. F. Mcnitt-Gray, G. McLennan, A. P. Reeves, B. Y. Croft, L. P. Clarke, and RIDER Research Group, “The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software,” Clin. Pharmacol. Ther. 84(4), 448–456 (2008). [CrossRef] [PubMed]
- N. Petrick, D. G. Brown, O. Suleiman, and K. J. Myers, “Imaging as a tumor biomarker in oncology drug trials for lung cancer: the FDA perspective,” Clin. Pharmacol. Ther. 84(4), 523–525 (2008). [CrossRef] [PubMed]
- L. Schwartz, S. Curran, R. Trocola, J. Randazzo, D. Ilson, D. Kelsen, and M. Shah, “Volumetric 3D CT analysis–an early predictor of response to therapy,” J. Clin. Oncol. 25(18S), 4576 (2007).
- A. P. Reeves, A. M. Biancardi, T. V. Apanasovich, C. R. Meyer, H. MacMahon, E. J. van Beek, E. A. Kazerooni, D. Yankelevitz, M. F. McNitt-Gray, G. McLennan, S. G. Armato, C. I. Henschke, D. R. Aberle, B. Y. Croft, and L. P. Clarke, “The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements,” Acad. Radiol. 14(12), 1475–1485 (2007). [CrossRef] [PubMed]
- E. Nioutsikou, N. Richard, J. Symonds-Tayler, J. L. Bedford, and S. Webb, “Quantifying the effect of respiratory motion on lung tumour dosimetry with the aid of a breathing phantom with deforming lungs,” Phys. Med. Biol. 51, 3359–3374 (2006). [CrossRef] [PubMed]
- M. M. Goodsitt, H.-P. Chan, T. W. Way, S. C. Larson, E. G. Christodoulou, and J. Kim, “Accuracy of the CT numbers of simulated lung nodules imaged with multi-detector CT scanners,” Med. Phys. 33(8), 3006–3017 (2006). [CrossRef] [PubMed]
- K. Marten, F. Auer, S. Schmidt, G. Kohl, E. J. Rummeny, and C. Engelke, “Inadequacy of manual measurements compared to automated CT volumetry in assessment of treatment response of pulmonary metastases using RECIST criteria,” Eur. Radiol. 16(4), 781–790 (2006). [CrossRef]
- B. Zhao, L. H. Schwartz, C. S. Moskowitz, M. S. Ginsberg, N. A. Rizvi, and M. G. Kris, “Lung cancer: computerized quantification of tumor response--initial results,” Radiology 241(3), 892–898 (2006). [CrossRef] [PubMed]
- N. R. Bogot, E. A. Kazerooni, A. M. Kelly, L. E. Quint, B. Desjardins, and B. Nan, “Interobserver and intraobserver variability in the assessment of pulmonary nodule size on CT using film and computer display methods,” Acad. Radiol. 12(8), 948–956 (2005). [CrossRef] [PubMed]
- M.-P. Revel, C. Lefort, A. Bissery, M. Bienvenu, L. Aycard, G. Chatellier, and G. Frija, “Pulmonary nodules: preliminary experience with three-dimensional evaluation,” Radiology 231(2), 459–466 (2004). [CrossRef] [PubMed]
- J. J. Erasmus, G. W. Gladish, L. Broemeling, B. S. Sabloff, M. T. Truong, R. S. Herbst, and R. F. Munden, “Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response,” J. Clin. Oncol. 21(13), 2574–2582 (2003). [CrossRef] [PubMed]
- J. M. Quivey, J. R. Castro, G. T. Chen, A. Moss, and W. M. Marks, “Computerized tomography in the quantitative assessment of tumour response,” Br. J. Cancer Suppl. 4, 30–34 (1980). [PubMed]
- J. E. Munzenrider, M. Pilepich, J. B. Rene-Ferrero, I. Tchakarova, and B. L. Carter, “Use of body scanner in radiotherapy treatment planning,” Cancer 40(1), 170–179 (1977). [CrossRef] [PubMed]
- C. G. Moertel and J. A. Hanley, “The effect of measuring error on the results of therapeutic trials in advanced cancer,” Cancer 38(1), 388–394 (1976). [CrossRef] [PubMed]
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