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LetterLetters to the Editor

Dosimetry in Radiopharmaceutical Therapy

Michael Stabin
Journal of Nuclear Medicine February 2023, 64 (2) 339; DOI: https://doi.org/10.2967/jnumed.122.265056
Michael Stabin
RADAR, Inc.
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TO THE EDITOR: Regarding “Dosimetry in Radiopharmaceutical Therapy” (1), in general this is a very good paper, and I am pleased to see attention being drawn to this important topic. Unfortunately, however, it ends on the familiar sour note that we should not do any dosimetry at this time, as it may not be perfect, and we should wait and wait until there is absolute proof of its usefulness.

First, as a minor point, the 1962 Benua “dose to blood” method (2) is completely outdated, being superseded by several detailed dosimetry models for the red marrow (3). Dose to blood itself is not relevant to internal dose calculations; this was a poor early surrogate for the truly important dose to active red marrow and ignores valiant efforts by many (Spiers, Eckerman, Bolch, and others) to develop good marrow dose models. The Eckerman model is implemented in the easy-to-use OLINDA/EXM software (4). The Benua method should not be cited as a recommended standard dosimetry method.

Second, the authors state that “Treating patients according to [prescribed tumor-absorbed dose] is a concept extended from [external-beam radiotherapy] practice. However, there are few dose–response data available for [radiopharmaceutical therapy] on which to base treatment prescription.” They also state that “dosimetry is not performed because dose–response data are lacking, and dose–response data are lacking because dosimetry is not performed.” The authors conclude that “If dosimetry is to become more than an academic exercise, we need to show that it makes a significant difference to clinical outcomes with [radiopharmaceutical therapy]. Ultimately, the only acceptable way of achieving this is through multicenter randomized controlled clinical trials comparing dosimetry-based prescriptions with one-size-fits-all activity-based prescriptions.” The authors did not mention Garin et al., who said, “Compared with standard dosimetry, personalized dosimetry significantly improved the objective response rate in patients with locally advanced hepatocellular carcinoma.” (5). As the authors note, we cannot mature in our understanding of dose–response relationships with no understanding whatsoever of what the potential radiation doses are. Our colleagues in external-beam radiotherapy knew years ago that dosimetry was essential to radiation therapy. Their methods were not perfect at the start but have improved over the years. If we continue to refuse to even start, we will never progress. Furthermore, for any future therapy applications of radiation in these patients, radiation doses from prior therapies are needed.

Thus, as noted some years ago (6), radiopharmaceutical therapy patients are clearly being treated at a lower standard of care than external-beam radiotherapy patients. I ask anyone advocating against calculation of patient-individualized dosimetry of cancer patients whether they would accept this if it were their spouse, child, or other loved one receiving therapy without optimization of their therapy, which requires patient-individualized dosimetry. We need to break this vicious cycle of endless, pointless discussions while inaction dominates and patients are given substandard medical care.

Footnotes

  • Published online Nov. 10, 2022.

  • © 2023 by the Society of Nuclear Medicine and Molecular Imaging.

REFERENCES

  1. 1.↵
    1. O’Donoghue J,
    2. Zanzonico P,
    3. Humm J,
    4. Kesner A
    . Dosimetry in radiopharmaceutical therapy. J Nucl Med. 2022;63:1467–1474.
    OpenUrlAbstract/FREE Full Text
  2. 2.↵
    1. Benua RS,
    2. Cicale N,
    3. Sonenberg M
    . The relation of radiation dosimetry to results and complications in the treatment of metastatic thyroid cancer. AJR. 1962;87:171–182.
    OpenUrl
  3. 3.↵
    1. Stabin MG,
    2. Eckerman KF,
    3. Bolch WE,
    4. Bouchet LG,
    5. Patton PW
    . Evolution and status of bone and marrow dose models. Cancer Biother Radiopharm. 2002;17:427–433.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Stabin MG,
    2. Sparks RB,
    3. Crowe E
    . OLINDA/EXM: the second-generation personal computer software for internal dose assessment in nuclear medicine. J Nucl Med. 2005;46:1023–1027.
    OpenUrlAbstract/FREE Full Text
  5. 5.↵
    1. Garin E,
    2. Tselikas L,
    3. Guiu B,
    4. et al.
    Personalised versus standard dosimetry approach of selective internal radiation therapy in patients with local advanced hepatocellular carcinoma (DOSISPERE-01): a randomized multicentre open-label phase 2 trial. Lancet Gastroenterol Hepatol. 2021;6:17–29.
    OpenUrlPubMed
  6. 6.↵
    1. Stabin MG
    . The case for patient-specific dosimetry in radionuclide therapy. Cancer Biother Radiopharm. 2008;23:273–284.
    OpenUrlCrossRefPubMed
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Journal of Nuclear Medicine: 64 (2)
Journal of Nuclear Medicine
Vol. 64, Issue 2
February 1, 2023
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Dosimetry in Radiopharmaceutical Therapy
Michael Stabin
Journal of Nuclear Medicine Feb 2023, 64 (2) 339; DOI: 10.2967/jnumed.122.265056

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Dosimetry in Radiopharmaceutical Therapy
Michael Stabin
Journal of Nuclear Medicine Feb 2023, 64 (2) 339; DOI: 10.2967/jnumed.122.265056
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