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If you use data from The Cancer Image Archive (TCIA) in your research we ask that you include appropriate references in your publications and presentations. These citations are critical for providing continued justification of funding from the agencies that support TCIA, and are what allow us to provide this data to you free of charge. Guidelines for how to cite TCIA can be found on our Citation Guidelines wiki page.

In addition we would like to list these publications here on our web site. If you have utilized TCIA in your research please contact us at CancerImagingArchive@mail.nih.gov so that we can include your publications in the list below.

Table of Contents

Choose a collection:

 

Collection: CT Colonography

PUBLICATIONS

  1. Taylor SA, Robinson C, Boone D, Honeyfield L, Halligan S. Polyp Characteristics Correctly Annotated by Computer-aided Detection Software but Ignored by Reporting Radiologists during CT Colonography. Radiology. 2009 Dec;253(3):715-23. Epub 2009 Sep 29. (link)
  2. Johnson CD, Chen MH, Toledano AY, Heiken JP, Dachman A, Kuo MD, Menias CO, Siewert B, Cheema JI, Obregon RG, Fidler JL, Zimmerman P, Horton KM, Coakley K, Iyer RB, Hara AK, Halvorsen RA Jr, Casola G, Yee J, Herman BA, Burgart LJ, Limburg PJ. Accuracy of CT colonography for detection of large adenomas and cancers. N Engl J Med. 2008 Sep 18;359(12):1207-17. (link)

 

Collection: LIDC-IDRI

PUBLICATIONS

  1. Armato SG III, McLennan G, Bidaut L, McNitt-Gray MF, Meyer CR, Reeves AP, Zhao B, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, MacMahon H, van Beek EJR, Yankelevitz D, et al.: The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans. Medical Physics, 38: 915–931, 2011. (link)
  2. Armato SG III, Roberts RY, Kocherginsky M, Aberle DR, Kazerooni EA, MacMahon H, van Beek EJR, Yankelevitz DF, McLennan G, McNitt-Gray MF, Meyer CR, Reeves AP, Caligiuri P, Quint LE, Sundaram B, Croft BY, Clarke LP: Assessment of radiologist performance in the detection of lung nodules: Dependence on the definition of “truth”. Academic Radiology 16: 28–38, 2009. (link)
  3. Reeves AP, Biancardi AM, Apanasovich TV, Meyer CR, MacMahon H, van Beek EJR, Kazerooni EA, Yankelevitz DF, McNitt-Gray MF, McLennan G, Armato SG III, Henschke CI, Aberle DR, Croft BY, Clarke LP: The Lung Image Database Consortium (LIDC): A comparison of different size metrics for pulmonary nodule measurements. Academic Radiology 14: 1475–1485, 2007. (link)
  4. McNitt-Gray MF, Armato SG III, Meyer CR, Reeves AP, McLennan G, Pais R, Freymann J, Brown MS, Engelmann RM, Bland PH, Laderach GE, Piker C, Guo J, Towfic Z, Qing DP, Yankelevitz DF, Aberle DR, van Beek EJR, MacMahon H, Kazerooni EA, Croft BY, Clarke LP: The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Academic Radiology 14: 1464–1474, 2007. (link)
  5. Armato SG III, Roberts RY, McNitt-Gray MF, Meyer CR, Reeves AP, McLennan G, Engelmann RM, Bland PH, Aberle DR, Kazerooni EA, MacMahon H, van Beek EJR, Yankelevitz D, Croft BY, Clarke LP: The Lung Image Database Consortium (LIDC): Ensuring the integrity of expert-defined “truth.” Academic Radiology 14: 1455–1463, 2007. (link)
  6. Armato SG III, McNitt-Gray MF, Reeves AP, Meyer CR, McLennan G, Aberle DR, Kazerooni EA, MacMahon H, van Beek EJR, Yankelevitz D, Hoffman EA, Henschke CI, Roberts RY, Brown MS, Engelmann RM, Pais RC, Piker CW, Qing D, Kocherginsky M, Croft BY, Clarke LP: The Lung Image Database Consortium (LIDC): An evaluation of radiologist variability in the identification of lung nodules on CT scans. Academic Radiology 14: 1409–1421, 2007. (link)
  7. Meyer CR, Johnson TD, McLennan G, Aberle DR, Kazerooni EA, MacMahon H, Mullan BF, Yankelevitz DF, van Beek EJR, Armato SG III, McNitt-Gray MF, Reeves AP, Gur D, Henschke CI, Hoffman EA, Bland PH, Laderach G, Pais R, Qing D, Piker C, Guo J, Starkey A, Max D, Croft BY, Clarke LP: Evaluation of lung MDCT nodule annotation across radiologists and methods. Academic Radiology 13: 1254–1265, 2006. (link)
  8. Dodd LE, Wagner RF, Armato SG III, McNitt-Gray MF, Beiden S, Chan H-P, Gur D, McLennan G, Metz CE, Petrick N, Sahiner B, Sayre J, The Lung Image Database Consortium Research Group: Assessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomography: Contemporary research topics relevant to the Lung Image Database Consortium. Academic Radiology 11: 462–475, 2004. (link)
  9. Armato SG III, McLennan G, McNitt-Gray MF, Meyer CR, Yankelevitz D, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, MacMahon H, Reeves AP, Croft BY, Clarke LP, The Lung Image Database Consortium Research Group: Lung Image Database Consortium: Developing a resource for the medical imaging research community. Radiology 232: 739–748, 2004. (link)

 

Collection: Phantom FDA

PUBLICATIONS

  1. Marios A Gavrielides , Lisa M Kinnard, Kyle J Myers, Jenifer Peregoy, William F Pritchard, Rongping Zeng, Juan Esparza, John Karanian, and Nicholas Petrick , “A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom”, Optics Express , vol. 18, n.14, pp. 15244-15255, 2010. (link)

 

Collection: RIDER Collections

PUBLICATIONS

  1. Meyer CR, Armato SG III, 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. Translational Oncology 2: 198--210, 2009. (link)
  2. McNitt-Gray MF, Bidaut LM, Armato SG III, Meyer CR, Gavrielides MA, Fenimore CP, McLennan G, Petrick N, Zhao B, Reeves AP, Beichel R, Kim H-J, Kinnard L. CT assessment of response to therapy: Tumor volume change measurement, truth data and error. Translational Oncology 2009 2: 216--222, 2009. (link)
  3. Kinahan PE, Doot RK, Wanner-Roybal M, Bidaut LM, Armato SG III, Meyer CR, McLennan G. PET/CT assessment of response to therapy: Tumor change measurement, truth data and error. Translational Oncology 2:223--230, 2009. (link)
  4. Jackson EF, Barboriak DP, Bidaut LM, Meyer CR. Magnetic resonance assessment of response to therapy: tumor change measurement, truth data and error sources. Translational Oncology 2009 Dec;2(4):211-5. PubMed PMID: 19956380; PubMed Central PMCID: PMC2781079. (link)
  5. Armato SG 3rd, Meyer CR, Mcnitt-Gray MF, McLennan G, Reeves AP, Croft BY, Clarke LP; 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. 2008 Oct;84(4):448-56. PubMed PMID: 18754000. (link)

 

Collection: TCGA-GBM

PUBLICATIONS

  1. Zinn PO, Majadan B, Sathyan P, Singh SK, Majumder S, et al. 2011 Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme. PLoS ONE 6(10): e25451. doi:10.1371/journal.pone.0025451 (link)

ABSTRACTS

A number of conference abstracts have also been accepted which are based upon the TCGA-GBM collection. The full abstracts and supporting materials can be found on the TCGA Glioma Phenotype Research Group wiki page.

Radiological Society of North America (RSNA) 2011 Annual Meeting: November 27 – December 2, 2011, Chicago, IL

  1. A Coordinated Method for Clinical Trials Research: Multireader Assessment of MR Imaging Features of Human Gliomas
    A E Flanders, MD, Philadelphia, PA; E Huang, PhD; M Wintermark, MD; M Nicolas-Jilwan, MD; P Raghavan, MD; C A Holder, MD; et al.
  2. Computer-aided Visual Image Analysis of Glioblastomas and Genomic Features
    S N Hwang, PhD,MD, Atlanta, GA; C A Holder, MD; E Huang, PhD; R A Clifford; D Hammoud, MD; P Raghavan, MD; et al.
  3. A Novel Statistical Method for Lossless Compression of Diagnostic Imaging Features
    E Huang, PhD, Rockville, MD; J B Freymann, BS; J Kirby; R A Clifford; C Jaffe, MD; A E Flanders, MD
  4. Prediction of Glioblastoma Multiforme (GBM) Time to Recurrence Using MRI Image Features and Gene Expression
    M nicolasjilwan, MD, charlottesville, VA; R A Clifford; A E Flanders, MD; L Scarpace; P Raghavan, MD; D Hammoud, MD; et al.
  5. Radiogenomic Mapping in GBM: A Novel Quantitative Merge between Imaging and Genomics - The Creation of a Signature for Tumor Necrosis Using Image Genomic Analysis in 12,764 genes and 555 microRNAs
    R R Colen, MD, Boston, MA; P O Zinn, MD; J R Bruyere, BS,MA; B Mahajan, MBBS; F A Jolesz, MD

2011 SNO 16th Annual Scientific Meeting: November 17-20, 2011, Orange County, CA

  1. Radiogenomic Mapping in GBM in Patients with High versus Low Edema/Tumor Infiltration using An Image- Genomic Analysis of 12, 764 genes and 555 microRNAs
    Rivka R. Colen, Bhanu Mahajan, Ferenc A. Jolesz, Pascal O. Zinn
  2. Survival prediction using molecular classification of glioblastomas: Role of tumor blood volume estimation using DSC T2* MR perfusion
    Rajan Jain, Laila Poisson, Jayant Narang, Lisa Scarpace, David Gutman, Carl Jaffe, Joel Saltz, Adam Flanders, Brat Daniel, Tom Mikkelsen

American Society of Neuro-Radiology (ASNR) 49th Annual Meeting & NER Foundation Symposium: June 4 – 9, 2011, Seattle, WA

  1. Relationship between MR Imaging Features, Gene Expression Subtype, and Histopathologic Features of Glioblastomas.
    Hwang SN, Clifford R, Huang E, Hammoud D, Jilwan M, Raghavan P, Wintermark M, Gutman DA, Moreno C, Cooper L, Freymann J, Kirby J, Krishnan A, Dehkharghani S, Jaffe C, Saltz JH, Flanders A, Brat DJ, Holder CA
  2. Associations Between MR Imaging and Genomic Features of Glioblastomas.
    Hwang SN, Holder CA Huang E, Clifford R, Hammoud D, Raghavan P, Jilwan M, Wintermark M, Gutman DA, Cooper L, Moreno C, Kirby J, Freymann J, Dehkharghani S, Krishnan A, Jaffe C, Flanders A, Saltz JH, Brat DJ
  3. A Methodology for Multi-reader Assessment of MR Imaging Features of Gliomas in Clinical Trials
    Flanders, A. Huang E, Wintermark M, Hammoud D, Jilwan, M. Raghaven, Holder, C Hwang, S. Clifford, R. Freymann, J, Kirby, J, Jaffe, C. C.
  4. Prediction of Glioblastoma Multiforme (GBM) Patient Survival Using MRI Image Features and Gene Expression
    Nicolasjilwan, M. Clifford, R. Raghavan, P. Wintermark, M. Hammoud, D. Huang, E. Jaffe, C. Freymann, J. Kirby, J. Buetow, K. Huang, S. Holder, C.
  5. Correlation of Perfusion Permeability Estimates with Genes Related to Angiogenesis egulation in Glioblastoma
    Jain, R. Poisson, L. Narang, J. Scarpace, L. Rempel, S.A. Mikkelsen, T.
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