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LetterLetters to the Editor

Dynamic PET/CT with 11C-Acetate in Prostate Cancer

Christiaan Schiepers, Sung-Cheng Huang and Magnus Dahlbom
Journal of Nuclear Medicine February 2013, 54 (2) 326; DOI: https://doi.org/10.2967/jnumed.112.112532
Christiaan Schiepers
*David Geffen School of Medicine University of California, Los Angeles 200 Med Pl., B-114 Los Angeles, CA 90095 E-mail:
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  • For correspondence: cschiepers@mednet.ucla.edu
Sung-Cheng Huang
*David Geffen School of Medicine University of California, Los Angeles 200 Med Pl., B-114 Los Angeles, CA 90095 E-mail:
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  • For correspondence: cschiepers@mednet.ucla.edu
Magnus Dahlbom
*David Geffen School of Medicine University of California, Los Angeles 200 Med Pl., B-114 Los Angeles, CA 90095 E-mail:
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TO THE EDITOR: In the April 2012 issue of The Journal of Nuclear Medicine, Mena et al. (1) reported on PET/CT studies using 11C-acetate in localized prostate cancer. This was an interesting article, in which our work from 2008 (2) was quoted several times.

The prostate acetate uptake curves shown in Figure 1 of their article are strikingly different from what we have demonstrated. We have never seen a biphasic pattern with a rapid decline after the initial peak. Aijun Sun, in her PhD thesis, (3) showed acetate time–activity curves just like ours, with a rapid increase that reached a plateau after 3 min. Therefore, the biphasic morphology in the prostate curves of Mena et al. is a reason for concern. Given the biphasic shape of the prostate time–activity curves, it is not surprising that Patlak graphical analysis did not fit, since the Patlak plot performs best for uptake curves reaching a plateau.

The prostate time–activity curves of Mena et al. peaked at around 5 min, and they attributed this finding to initial tumor perfusion and dispersion. This cause is unlikely, since the iliac vessels are near the prostate gland and peak within 1 min (2,3). Their Figure 1 depicts an input function (iliac curve) with a maximum standardized uptake value just above 10, which is similar to ours, at 10.5, after removing the partial-volume correction. The peak of prostate cancer in Figure 1 is approximately 70% of that of the input function, indicating that the perfusion is high (estimated at >1.5). We found the 3-compartment, 3-parameter model optimal for the prostate (2) and measured an average perfusion of 0.42 for primary prostate cancer, 0.21 for recurrent cancer, and 0.34 for benign prostatic hyperplasia. These values compare favorably with Sun’s 0.3 (estimated) for recurrent prostate cancer (3). Normal prostate perfusion measured with nuclear magnetic resonance techniques yielded 0.23 for Lüdemann et al. (4) and 0.26 for Li and Metzger (5). (All perfusion units are in mL/min/g, assuming a specific mass of 1 g/cm3 for prostate tissue.)

The relatively late appearance of the prostate peak in Figure 1 (∼5 min), implies that acetate has a long residence time in prostate tissue, suggestive of a large distribution volume (estimated at >5 mL/g, compared with our 1.25 mL/g). What accounts for such a large apparent distribution volume?

To put this in a biologic perspective, the prostate cancer uptake curves of Figure 1 suggest a perfusion similar to that of the myocardium. Myocardial acetate kinetics measured in our laboratory showed a biphasic pattern with an early peak at 1–2 min, which can safely be interpreted as the tracer transit time through tissue. Thereafter, the myocardial time–activity curve demonstrated a continuous drop, without a plateau (6).

When the experiments of Mena et al. are compared with ours, there is a major difference in the acquisition protocol. Our acquisition consisted of a single dynamic scan of 21 min. Mena et al. used dynamic imaging for 6 min followed by 4 static scans. This mixing of dynamic and static imaging raises concern on whether technical factors could be responsible for the biphasic uptake curve of the prostate. Did the authors perform a phantom experiment to validate the combined dynamic and static protocol?

In summary, Mena et al. reported a biphasic shape for acetate uptake in the prostate—a pattern strikingly different from what others have found. The data of Mena et al. suggest values for prostate perfusion and distribution volume that are too high. This possibility is concerning and raises questions about technical issues.

Footnotes

  • Published online Dec. 21, 2012

  • © 2013 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

REFERENCES

  1. 1.↵
    1. Mena E,
    2. Turkbey B,
    3. Mani H,
    4. et al
    . 11C-acetate PET/CT in localized prostate cancer: a study with MRI and histopathologic correlation. J Nucl Med. 2012;53:538–545.
    OpenUrlAbstract/FREE Full Text
  2. 2.↵
    1. Schiepers C,
    2. Hoh CK,
    3. Nuyts J,
    4. et al
    . 1-11C-acetate kinetics of prostate cancer. J Nucl Med. 2008;49:206–215.
    OpenUrlAbstract/FREE Full Text
  3. 3.↵
    1. Sun A
    . Radiolabeled Acetate PET in Oncology Imaging: Studies on Head & Neck Cancer, Prostate Cancer and Normal Distribution [dissertation]. Umea, Sweden: University of Umea; 2010.
  4. 4.↵
    1. Lüdemann L,
    2. Prochnow D,
    3. Rohlfing T,
    4. et al
    . Simultaneous quantification of perfusion and permeability in the prostate using dynamic contrast-enhanced magnetic resonance imaging with an inversion-prepared dual-contrast sequence. Ann Biomed Eng. 2009;37:749–762.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Li X,
    2. Metzger GJ
    . NMR Biomed. Feasibility of measuring prostate perfusion with arterial spin labeling. June 7, 2012 [Epub ahead of print].
  6. 6.↵
    1. Schelbert HR
    . PET of the heart. In: Phelps ME, ed. PET: Molecular Imaging and Its Biological Implications. New York, NY: Springer-Verlag; 2004:15–422.
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Journal of Nuclear Medicine: 54 (2)
Journal of Nuclear Medicine
Vol. 54, Issue 2
February 1, 2013
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Dynamic PET/CT with 11C-Acetate in Prostate Cancer
Christiaan Schiepers, Sung-Cheng Huang, Magnus Dahlbom
Journal of Nuclear Medicine Feb 2013, 54 (2) 326; DOI: 10.2967/jnumed.112.112532

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Dynamic PET/CT with 11C-Acetate in Prostate Cancer
Christiaan Schiepers, Sung-Cheng Huang, Magnus Dahlbom
Journal of Nuclear Medicine Feb 2013, 54 (2) 326; DOI: 10.2967/jnumed.112.112532
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