Academic Radiology
Volume 17, Issue 5 , Pages 614-623 , May 2010

Validation of Automatic Target Volume Definition as Demonstrated for 11C-Choline PET/CT of Human Prostate Cancer Using Multi-modality Fusion Techniques

  • Hyunjin Park, PhD

      Affiliations

    • Department of Biomedical Engineering, Gachon University of Medicine and Science, Incheon 406-799, South Korea
    • Department of Radiology, University of Michigan, Ann Arbor, MI
    • Corresponding Author InformationAddress correspondence to: H.P.
    • ,
  • Charles R. Meyer, PhD

      Affiliations

    • Department of Radiology, University of Michigan, Ann Arbor, MI
    • ,
  • David Wood, MD

      Affiliations

    • Department of Urology, University of Michigan, Ann Arbor, MI
    • ,
  • Asra Khan, MD

      Affiliations

    • Department of Radiology, University of Michigan, Ann Arbor, MI
    • ,
  • Rajal Shah, MD

      Affiliations

    • Department of Pathology, University of Michigan, Ann Arbor, MI
    • ,
  • Hero Hussain, MD

      Affiliations

    • Department of Radiology, University of Michigan, Ann Arbor, MI
    • ,
  • Javed Siddiqui, MS

      Affiliations

    • Department of Pathology, University of Michigan, Ann Arbor, MI
    • ,
  • Jongbum Seo, PhD

      Affiliations

    • Department of Biomedical Engineering, Yonsei University, Wonju, South Korea
    • ,
  • Thomas Chenevert, PhD

      Affiliations

    • Department of Radiology, University of Michigan, Ann Arbor, MI
    • ,
  • Morand Piert, MD

      Affiliations

    • Department of Radiology, University of Michigan, Ann Arbor, MI

Received 30 November 2009 ,Accepted 6 January 2010.

References 

  1. Grosu AL, Piert M, Weber WA, et al. Positron emission tomography for radiation treatment planning. Strahlenther Onkol. 2005;181:483–499
  2. MacManus M, Nestle U, Rosenzweig KE, et al. Use of PET and PET/CT for radiation therapy planning: IAEA expert report 2006-2007. Radiother Oncol. 2009;91:85–94
  3. Nestle U, Weber W, Hentschel M, et al. Biological imaging in radiation therapy: role of positron emission tomography. Phys Med Biol. 2009;54:R1–R25
  4. Ling CC, Humm J, Larson S, et al. Towards multidimensional radiotherapy (MD-CRT): biological imaging and biological conformality. Int J Radiat Oncol Biol Phys. 2000;47:551–560
  5. Brambilla M, Matheoud R, Secco C, et al. Threshold segmentation for PET target volume delineation in radiation treatment planning: the role of target-to-background ratio and target size. Med Phys. 2008;35:1207–1213
  6. Daisne JF, Sibomana M, Bol A, et al. Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms. Radiother Oncol. 2003;69:247–250
  7. Davis JB, Reiner B, Huser M, et al. Assessment of 18F PET signals for automatic target volume definition in radiotherapy treatment planning. Radiother Oncol. 2006;80:43–50
  8. Yaremko B, Riauka T, Robinson D, et al. Threshold modification for tumour imaging in non-small-cell lung cancer using positron emission tomography. Nucl Med Commun. 2005;26:433–440
  9. Ciernik IF, Dizendorf E, Baumert BG, et al. Radiation treatment planning with an integrated positron emission and computer tomography (PET/CT): a feasibility study. Int J Radiat Oncol Biol Phys. 2003;57:853–863
  10. Hara T, Kosaka N, Kishi H. PET imaging of prostate cancer using carbon-11-choline. J Nucl Med. 1998;39:990–995
  11. Piert M, Park H, Khan A, et al. Detection of aggressive primary prostate cancer with 11C-choline PET/CT using multimodality fusion techniques. J Nucl Med. 2009;50:1585–1593
  12. Park H, Piert MR, Khan A, et al. Registration methodology for histological sections and in vivo imaging of human prostate. Acad Radiol. 2008;15:1027–1039
  13. Jacobs MA, Windham JP, Soltanian-Zadeh H, et al. Registration and warping of magnetic resonance images to histological sections. Med Phys. 1999;26:1568–1578
  14. Breen MS, Lancaster TL, Lazebnik RS, et al. Three-dimensional method for comparing in vivo interventional MR images of thermally ablated tissue with tissue response. J Magn Reson Imaging. 2003;18:90–102
  15. Hill DL, Batchelor PG, Holden M, et al. Medical image registration. Phys Med Biol. 2001;46:R1–R45
  16. Meyer CR, Boes JL, Kim B, et al. Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations. Med Image Anal. 1997;1:195–206
  17. Boostein FL. Principal warps: thin-plate splines and the decomposition of deformations. IEEE Trans Pattern Anal Mach Intell. 1989;11:567–585
  18. Ciernik IF, Brown DW, Schmid D, et al. 3D-segmentation of the 18F-choline PET signal for target volume definition in radiation therapy of the prostate. Technol Cancer Res Treat. 2007;6:23–30
  19. Souvatzoglou M, Grosu AL, Roper B, et al. Tumour hypoxia imaging with [(18)F]FAZA PET in head and neck cancer patients: a pilot study. Eur J Nucl Med Mol Imaging. 2007;34:1566–1575
  20. Sims R, Isambert A, Gregoire V, et al. A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck. Radiother Oncol. 2009;93:474–478
  21. Gregoire V, Haustermans K, Geets X, et al. PET-based treatment planning in radiotherapy: a new standard?. J Nucl Med. 2007;48(suppl):68S–77S
  22. Soret M, Bacharach SL, Buvat I. Partial-volume effect in PET tumor imaging. J Nucl Med. 2007;48:932–945
  23. Herzog H, Tellmann L, Hocke C, et al. NEMA NU2-2001 guided performance evaluation of four Siemens ECAT PET-scanners. Nucl Sci Symp Conf Record. 2003;4:2836–2838
  24. Aston JA, Cunningham VJ, Asselin MC, et al. Positron emission tomography partial volume correction: estimation and algorithms. J Cereb Blood Flow Metab. 2002;22:1019–1034
  25. Grosu AL, Souvatzoglou M, Roper B, et al. Hypoxia imaging with FAZA-PET and theoretical considerations with regard to dose painting for individualization of radiotherapy in patients with head and neck cancer. Int J Radiat Oncol Biol Phys. 2007;69:541–551
  26. Riedl CC, Akhurst T, Larson S, et al. 18F-FDG PET scanning correlates with tissue markers of poor prognosis and predicts mortality for patients after liver resection for colorectal metastases. J Nucl Med. 2007;48:771–775
  27. Vansteenkiste JF, Stroobants SG, Dupont PJ, et al. Leuven Lung Cancer Group Prognostic importance of the standardized uptake value on (18)F-fluoro-2-deoxy-glucose-positron emission tomography scan in non-small-cell lung cancer: an analysis of 125 cases. J Clin Oncol. 1999;17:3201–3206
  28. Metser U, Even-Sapir E. Increased (18)F-fluorodeoxyglucose uptake in benign, nonphysiologic lesions found on whole-body positron emission tomography/computed tomography (PET/CT): accumulated data from four years of experience with PET/CT. Semin Nucl Med. 2007;37:206–222
  29. Piert M, Machulla H-J, Picchio M, et al. Hypoxia-specific tumor imaging with 18F-Fluoroazomycin arabinoside. J Nucl Med. 2005;46:106–113
  30. Grosu AL, Weber WA, Franz M, et al. Reirradiation of recurrent high-grade gliomas using amino acid PET (SPECT)/CT/MRI image fusion to determine gross tumor volume for stereotactic fractionated radiotherapy. Int J Radiat Oncol Biol Phys. 2005;63:511–519
  31. Buck AK, Bommer M, Stilgenbauer S, et al. Molecular imaging of proliferation in malignant lymphoma. Cancer Res. 2006;66:11055–11061
  32. Piert M. Hypoxia imaging. In:  Wahl RL editors. Principles and practices of PET and PET/CT. 2nd ed. Philadelphia, PA: Lippincott, Williams & Wilkins; 2009;

 This study was supported by grants 1P01CA87634 and P50CA069568 from the National Institutes of Health (Bethesda, MD).

PII: S1076-6332(10)00013-9

doi: 10.1016/j.acra.2010.01.003

Academic Radiology
Volume 17, Issue 5 , Pages 614-623 , May 2010

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