Skip to main content
SpringerLink
Log in

On some misconceptions about tumor heterogeneity quantification

  • Letter to the Editor
  • Published:
European Journal of Nuclear Medicine and Molecular Imaging Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Heppner GH. Tumor heterogeneity. Cancer Res. 1984;44(6):2259–65.

    PubMed  CAS  Google Scholar 

  2. Asselin MC, O’Connor JP, Boellaard R, Thacker NA, Jackson A. Quantifying heterogeneity in human tumours using MRI and PET. Eur J Cancer. 2012;48(4):447–55.

    Article  PubMed  Google Scholar 

  3. Chicklore S, Goh V, Siddique M, Roy A, Marsden PK, Cook GJ. Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis. Eur J Nucl Med Mol Imaging. 2013;40:133–40. doi:10.1007/s00259-012-2247-0.

    Article  PubMed  Google Scholar 

  4. El Naqa I, Grigsby P, Apte A, Kidd E, Donnelly E, Khullar D, et al. Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit. 2009;42(6):1162–71.

    Article  PubMed  Google Scholar 

  5. Tixier F, Le Rest CC, Hatt M, Albarghach N, Pradier O, Metges J-P, et al. Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer. J Nucl Med. 2011;52(3):369–78.

    Article  PubMed  Google Scholar 

  6. Yang F, Thomas MA, Dehdashti F, Grigsby PW. Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer. Eur J Nucl Med Mol Imaging. 2013;40(5):716–27.

    Article  PubMed  CAS  Google Scholar 

  7. Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans Syst Man Cybern. 1973;3:610–21.

    Article  Google Scholar 

  8. Haidekker MA. Advanced biomedical image analysis. 1st ed. Hoboken: Wiley; 2011.

    Google Scholar 

  9. Wahl RL, Herman JM, Ford E. The promise and pitfalls of positron emission tomography and single-photon emission computed tomography molecular imaging-guided radiation therapy. Semin Radiat Oncol. 2011;21(2):88–100.

    Article  PubMed  Google Scholar 

  10. Erlandsson K, Buvat I, Pretorius PH, Thomas BA, Hutton BF. A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology. Phys Med Biol. 2012;57:R119–59.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Saint Louis, MO, 63110, USA

    Frank J. Brooks

Authors
  1. Frank J. Brooks
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Frank J. Brooks.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Brooks, F.J. On some misconceptions about tumor heterogeneity quantification. Eur J Nucl Med Mol Imaging 40, 1292–1294 (2013). https://doi.org/10.1007/s00259-013-2430-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00259-013-2430-y

Keywords

Search

Navigation