Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
OtherBASIC SCIENCE INVESTIGATIONS

124I PET-Based 3D-RD Dosimetry for a Pediatric Thyroid Cancer Patient: Real-Time Treatment Planning and Methodologic Comparison

Robert F. Hobbs, Richard L. Wahl, Martin A. Lodge, Mehrbod S. Javadi, Steve Y. Cho, David T. Chien, Marge E. Ewertz, Caroline E. Esaias, Paul W. Ladenson and George Sgouros
Journal of Nuclear Medicine November 2009, 50 (11) 1844-1847; DOI: https://doi.org/10.2967/jnumed.109.066738
Robert F. Hobbs
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Richard L. Wahl
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Martin A. Lodge
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mehrbod S. Javadi
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steve Y. Cho
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David T. Chien
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marge E. Ewertz
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Caroline E. Esaias
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paul W. Ladenson
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
George Sgouros
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF
Loading

Abstract

Patient-specific 3-dimensional radiobiologic dosimetry (3D-RD) was used for 131I treatment planning for an 11-y-old girl with differentiated papillary thyroid cancer, heavy lung involvement, and cerebral metastases. 124I PET was used for pharmacokinetics. Calculation of the recommended administered activity, based on lung toxicity constraints, was performed in real time (i.e., during the data-acquisition interval). The results were available to the physician in time to influence treatment; these estimates were compared with conventional dosimetry methodologies. In subsequent, retrospective analyses, the 3D-RD calculations were expanded to include additional tumor dose estimates, and the conventional methodologies were reexamined to reveal the causes of the differences observed. A higher recommended administered activity than by an S-value–based method with a favorable clinical outcome was obtained. This approach permitted more aggressive treatment while adhering to patient-specific lung toxicity constraints. A retrospective analysis of the conventional methodologies with appropriate corrections yielded absorbed dose estimates consistent with 3D-RD.

  • oncology
  • radiobiology/dosimetry
  • radionuclide therapy
  • 3D-RD
  • dosimetry
  • PET
  • thyroid
  • treatment planning

Since the 1990s, patient-specific 3-dimensional (3D)-imaging–based dosimetry has been an area of interest and ongoing development (1). To the extent that this dosimetry technique has been applied to patient studies, all applications have been retrospective. In this work, prospective or real-time implementation of an imaging-based Monte Carlo calculation using the 3D-RD dosimetry package (2) is illustrated for the radioiodine treatment of a pediatric thyroid cancer patient. Implementation of a 3D imaging–based patient-specific dosimetry methodology that can be performed in a timely and clinically relevant period—that is, one in which the results are available to the treating physician in time to help identify the optimal therapeutic activity administration—is important in selected, clinically challenging cases. The work also examines the related and important question of whether the mean absorbed dose values obtained by the highly patient-specific approach embodied by 3D-RD could have been arrived at by much simpler conventional and less logistically and monetarily costly methods.

The real-time aspect of the 3D-RD calculations took advantage of an algorithm design that allows dose calculations to start without the need for the complete dataset. This is accomplished by calculating the dose rate obtained from each scan at each time point and then integrating these over time after the last scan has been collected and processed. In this way, the time-intensive Monte Carlo calculations are performed during the interval between image acquisitions, and the more rapid integration over time is performed on the dose-rate images. In subsequent, retrospective analyses (i.e., after the real-time calculation was completed and the results provided to the treating physician), the 3D-RD calculations were expanded to include additional tumor dose estimates. The conventional methodologies were reexamined to clarify the causes of the differences observed with 3D-RD. The 3D-RD calculations also included secondary considerations such as radiobiologic modeling by incorporating the biologic effective dose (BED) and equivalent uniform dose (EUD) formalisms for several tumor sites.

MATERIALS AND METHODS

The methodology and results obtained are illustrated for an 11-y-old girl, presenting with metastatic papillary carcinoma after thyroidectomy. A diagnostic activity level of 122 MBq (3.3 mCi) of 131I was administered at another medical center, where the whole-body scan revealed thyroid bed, bilateral lung, and intracranial foci of iodine-avid tissue.

Subsequently, the patient was emergently transferred to Johns Hopkins for further evaluation in anticipation of 131I therapy. A repeated 131I whole-body planar scan, without readministration of 131I, confirmed the prior outside findings, and SPECT/CT scans of the head and neck revealed the intracranial uptake to represent bilateral temporal lobe brain metastases. Notably, the left temporal lobe brain metastasis had extremely high 131I uptake, causing significant scatter and SPECT reconstruction artifacts. MRI of the brain confirmed 2 lesions in the temporal lobes bilaterally, with the lesion on the left measuring 2.4 × 2.0 × 1.9 cm3 and the lesion on the right measuring 0.8 × 0.9 × 0.8 cm3. Baseline pulmonary function tests showed both obstructive and restrictive lung defects; thyroglobulin laboratory results showed a concentration of 9,553 ng/mL.

Because the high retention of previously administered 131I would affect and significantly complicate 131I dosimetry measurements, PET-based 124I dosimetry was pursued to define the optimally effective and safe 131I therapeutic administered activity. After parental consent was obtained, the patient was administered a diagnostic activity of 92.5 MBq (2.5 mCi capsule) of 124I-NaI (IBA Molecular North America). Figure 1 shows fused PET/CT images at 24 h. The 124I was administered on a compassionate basis after consultation with the U.S. Food and Drug Administration and the Johns Hopkins internal review board.

FIGURE 1. 
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 1. 

Selected fused 124I PET/CT transverse (A) and coronal (B) views of lungs. Views depicted extend from base of diaphragm to vertex of skull.

Details regarding the imaging and dosimetry methodologies are available in the supplement to this article (supplemental materials are available online only at http://jnm.snmjournals.org).

RESULTS

Real-Time 3D-RD Calculation

The administered activity predicted to deliver the maximum tolerated dose of 27 Gy to the lung volume of interest (VOI) (3), considered as a whole, was 5.11 GBq (138 mCi) of 131I.

OLINDA/Whole-Organ S-Value–Based Calculation

To best approximate the lung-to-lung S value for the treated patient, the S values already tabulated in OLINDA were interpolated to match the whole-body weight of the patient. For this patient, who had a whole-body mass of 37 kg, calculation using the interpolated S value gave an absorbed dose of 8.59 mGy/MBq or 3.14 GBq (85 mCi) of administered activity to deliver 27 Gy to the lungs considered as a whole (i.e., including tumor).

Benua–Leeper Calculation

The lung toxicity constraint based on total-body activity at 48 h gave a recommended administered activity of 8.17 GBq (220 mCi). The bone marrow toxicity constraint, calculated from a limit of 2 Gy to blood, was 5.60 GBq (151 mCi).

Detailed results for each of these dosimetry methods are provided in the supplement.

After considering the OLINDA, Benua–Leeper (4), and 3D-RD estimates, and the assumptions used to arrive at each estimate, the treating physician prescribed 5.11 GBq. As per schedule, the patient was administered 5 GBq 1 wk after tracer injection. The fit parameters from the 3D-RD calculation for the therapeutic quantities to the lungs and tumors are given in Supplemental Table 2; because of time constraints in these real-time calculations, no effort was made to discriminate between tumor in the lungs and normal lungs.

Retrospective 3D-RD Dosimetry

The 3D-RD dosimetry calculations were expanded to examine tumor absorbed dose after the real-time calculations were completed and the patient was treated. Retrospective 3D-RD absorbed dose calculations were performed for all of the distinct tumor lesions, tumor in the lungs, and normal lungs. A summary of mean absorbed dose, BED, and EUD results is given in Table 1. The vox subscript refers to mean values obtained by averaging the absorbed dose to individual voxel values; quantities with no subscript represent mean doses over the whole VOI (i.e., the cumulated activity is assigned to the whole volume, and the dose calculation is for the volume taken as a whole).

View this table:
  • View inline
  • View popup
TABLE 1

3D-RD Absorbed Dose (D), BED, and EUD Results for Different Tumors and for Normal Lung Tissue

The absorbed dose to normal brain overall and also brain regions adjacent to the 2 brain tumors was also calculated. The maximum absorbed dose in a single voxel of normal brain tissue is 65.6 Gy, whereas the average absorbed dose is 0.95 Gy. Only 9 voxels (of 76,437; i.e., 0.012%) had doses greater than 50 Gy, and only 101 (0.13%) had doses greater than 20 Gy.

Figure 2 shows selected coronal slices of the absorbed dose maps created by 3D-RD, with accompanying color scales. The torso has a linear scale and shows the results from the measured activities, and the head has a logarithmic scale and shows the results of the model, created for purposes of normal brain toxicity evaluation.

FIGURE 2. 
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 2. 

Representative coronal slices of absorbed dose (D) maps of 2 different datasets: torso (measured) (A) and head (modeled) (B). In modeled calculation, average tumor activity concentration was placed in 2 tumor-associated VOIs defined using CT; voxels representing normal brain were assigned average (background) brain activity concentration. 3D-RD was then executed using these 2 as source regions of uniform activity irradiating normal brain. In this way, possible calculation artifacts associated with high tumor count–density gradients were avoided. Both images are viewed anteriorly.

By improving the patient specificity of the OLINDA and Benua–Leeper methodologies using information obtained as a result of the 3D-RD analysis, the recommended administered activity to deliver no more than 27 Gy to the lungs from the conventional approaches was within 2% of the 3D-RD values; these are summarized in Table 2.

View this table:
  • View inline
  • View popup
TABLE 2

Recommended Administered Activities for Estimated 27 Gy to Lung VOI as Determined by Different Methodologies

Further details for the 3D-RD retrospective dosimetry results and the conventional dosimetry reexamination are provided in the online supplement.

DISCUSSION

Clinical Outcome

The patient experienced no pulmonary, neurologic, or other adverse clinical response to 131I treatment. Twelve months after radioiodine treatment, the patient's serum thyroglobulin level after comparable thyroid hormone withdrawal had declined from its pretreatment level, 9,553 ng/mL to 777 ng/mL (−92%). The left and right lobe metastatic lesions had decreased from their respective pretreatment largest diameters, 24 and 9 mm, to 5 and less than 1 mm.

Posttherapy Results

Given the available imaging resolution, discrimination between normal tissue and lung tissue is difficult if not impossible and can give only an idea of the delineation for what are most likely micrometastases smaller than the resolution of the detector (5). A highly desirable possible consideration for future treatment planning would be to discriminate the voxels for tissue type in advance and scale the therapeutic activity to deliver the limiting dose only to the defined normal lung tissue voxels, considered together as healthy lung. Clinically, limiting the dose to normal lung to tolerable levels is the most concerning issue in treatment planning; as such, the discrimination between tumor and normal lung voxels is less about the definition of tumor than about the definition of healthy lung. In our present case, with our first-order discrimination, this would have translated as recommending an administered activity of 6.83 GBq (185 mCi) as opposed to 5.11 GBq.

The average dose to brain tissue as shown in the brain model is relatively small, but the maximum voxel absorbed dose is 65.6 Gy. This value is slightly above the generally accepted 50- to 60-Gy threshold for gray matter toxicity (6), whereas most voxels are significantly lower.

Method Comparison

This case illustrates the discrepancies that can occur between results arrived at by different methodologies designed to calculate the same quantity—in this case, the maximum administered activity tolerated by the lungs. From 3.14 GBq for an S-value–based method to 8.17 GBq for the traditional Benua–Leeper method, a factor of 2.6 was observed.

However, the results from the dose-rate constraint (DRC) adaptation (described in the online supplemental material) of the Benua–Leeper method show a value much closer to that from 3D-RD (5.16 GBq), and the OLINDA S-value method also gave a similar result after compensating for lung mass (5.17 GBq). This convergence of values has to be reassuring from a clinical standpoint: it suggests that as long as the chosen method is implemented correctly, the outcomes are far more comparable. This study also highlights the potential gains in implementing a more detailed analysis. Appropriate (i.e., effective lung mass–based) correction of the OLINDA S value would not have ordinarily been considered without the CT-based analysis of total lung mass needed for the initial, real-time 3D-RD calculation.

A discussion on the interpretation of EUD and BED and also additional discussion on the importance of partial-volume corrections on quantification and the delineation of normal lung from tumor voxels may be found in the online supplemental material.

CONCLUSION

Real-time treatment planning using 3D-RD has been demonstrated in a difficult pediatric thyroid case involving lung metastases. Sequential 124I PET/CT studies allowed dosimetry planning even in the case of 131I present systemically. A straightforward implementation of simpler, alternative approaches gave results substantially different from those obtained using 3D-RD. With appropriate corrections, however, the simpler alternative methodologies gave values similar to those obtained with 3D-RD; however, the needed corrections would not necessarily have been known if the 3D-RD analysis had not been performed for this patient. The 3D-RD analysis also provided more detailed information regarding potential efficacy and toxicity.

Acknowledgments

This work was partially supported by grant NIH.R01 CA116477.

Footnotes

  • COPYRIGHT © 2009 by the Society of Nuclear Medicine, Inc.

References

  1. 1.↵
    Sgouros G, Frey E, Wahl R, He B, Prideaux A, Hobbs R. Three-dimensional imaging-based radiobiological dosimetry. Semin Nucl Med. 2008;38:321–334.
    OpenUrlCrossRefPubMed
  2. 2.↵
    Prideaux AR, Song H, Hobbs RF, et al. Three-dimensional radiobiologic dosimetry: application of radiobiologic modeling to patient-specific 3-dimensional imaging-based internal dosimetry. J Nucl Med. 2007;48:1008–1016.
    OpenUrlAbstract/FREE Full Text
  3. 3.↵
    Press OW, Eary JF, Appelbaum FR, et al. Radiolabeled-antibody therapy of B-cell lymphoma with autologous bone marrow support. N Engl J Med. 1993;329:1219–1224.
    OpenUrlCrossRefPubMed
  4. 4.↵
    Benua R, Leeper R. A method and rationale for treating metastatic thyroid carcinoma with the largest safe dose of 131I. In: Medeiros-Neta GE, Gaitan E, eds. Frontiers in Thyroidology. New York, NY: Plenum Medical; 1986:1317–1321.
  5. 5.↵
    Freudenberg LS, Jentzen W, Muller SP, Bockisch A. Disseminated iodine-avid lung metastases in differentiated thyroid cancer: a challenge to 124I PET. Eur J Nucl Med Mol Imaging. 2008;35:502–508.
    OpenUrlCrossRefPubMed
  6. 6.↵
    Steen RG, Koury BSM, Granja CI, et al. Effect of ionizing radiation on the human brain: white matter and gray matter T1 in pediatric brain tumor patients treated with conformal radiation therapy. Int J Radiat Oncol Biol Phys. 2001;49:79–91.
    OpenUrlCrossRefPubMed
  7. 7.↵
    Sgouros G, Song H, Ladenson PW, Wahl RL. Lung toxicity in radioiodine therapy of thyroid carcinoma: development of a dose-rate method and dosimetric implications of the 80-mCi rule. J Nucl Med. Dec 2006;47:1977–1984.
    OpenUrlAbstract/FREE Full Text
  • Received for publication June 30, 2009.
  • Accepted for publication July 13, 2009.
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 50 (11)
Journal of Nuclear Medicine
Vol. 50, Issue 11
November 2009
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
124I PET-Based 3D-RD Dosimetry for a Pediatric Thyroid Cancer Patient: Real-Time Treatment Planning and Methodologic Comparison
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
124I PET-Based 3D-RD Dosimetry for a Pediatric Thyroid Cancer Patient: Real-Time Treatment Planning and Methodologic Comparison
Robert F. Hobbs, Richard L. Wahl, Martin A. Lodge, Mehrbod S. Javadi, Steve Y. Cho, David T. Chien, Marge E. Ewertz, Caroline E. Esaias, Paul W. Ladenson, George Sgouros
Journal of Nuclear Medicine Nov 2009, 50 (11) 1844-1847; DOI: 10.2967/jnumed.109.066738

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
124I PET-Based 3D-RD Dosimetry for a Pediatric Thyroid Cancer Patient: Real-Time Treatment Planning and Methodologic Comparison
Robert F. Hobbs, Richard L. Wahl, Martin A. Lodge, Mehrbod S. Javadi, Steve Y. Cho, David T. Chien, Marge E. Ewertz, Caroline E. Esaias, Paul W. Ladenson, George Sgouros
Journal of Nuclear Medicine Nov 2009, 50 (11) 1844-1847; DOI: 10.2967/jnumed.109.066738
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF

Related Articles

  • This Month in JNM
  • PubMed
  • Google Scholar

Cited By...

  • MIRD Pamphlet No. 28, Part 1: MIRDcalc--A Software Tool for Medical Internal Radiation Dosimetry
  • Normal-Tissue Tolerance to Radiopharmaceutical Therapies, the Knowns and the Unknowns
  • Recombinant Human Thyroid-Stimulating Hormone Versus Thyroid Hormone Withdrawal in 124I PET/CT-Based Dosimetry for 131I Therapy of Metastatic Differentiated Thyroid Cancer
  • Preclinical Evaluation of 86Y-Labeled Inhibitors of Prostate-Specific Membrane Antigen for Dosimetry Estimates
  • Assessment of Lesion Response in the Initial Radioiodine Treatment of Differentiated Thyroid Cancer Using 124I PET Imaging
  • Three-Dimensional Personalized Monte Carlo Dosimetry in 90Y Resin Microspheres Therapy of Hepatic Metastases: Nontumoral Liver and Lungs Radiation Protection Considerations and Treatment Planning Optimization
  • Targeted Radionuclide Therapy: Proceedings of a Joint Workshop Hosted by the National Cancer Institute and the Society of Nuclear Medicine and Molecular Imaging
  • Radiobiologic Optimization of Combination Radiopharmaceutical Therapy Applied to Myeloablative Treatment of Non-Hodgkin Lymphoma
  • Study of the Impact of Tissue Density Heterogeneities on 3-Dimensional Abdominal Dosimetry: Comparison Between Dose Kernel Convolution and Direct Monte Carlo Methods
  • MIRD Pamphlet No. 23: Quantitative SPECT for Patient-Specific 3-Dimensional Dosimetry in Internal Radionuclide Therapy
  • Fine-Resolution Voxel S Values for Constructing Absorbed Dose Distributions at Variable Voxel Size
  • Dosimetry and thyroid cancer: the individual dosage of radioiodine
  • Arterial Wall Dosimetry for Non-Hodgkin Lymphoma Patients Treated with Radioimmunotherapy
  • Google Scholar

More in this TOC Section

  • Design and Fabrication of Kidney Phantoms for Internal Radiation Dosimetry Using 3D Printing Technology
  • Synthesis and Biologic Evaluation of Novel 18F-Labeled Probes Targeting Prostate-Specific Membrane Antigen for PET of Prostate Cancer
  • Tumor-Specific Binding of Radiolabeled PEGylated GIRLRG Peptide: A Novel Agent for Targeting Cancers
Show more Basic Science Investigations

Similar Articles

SNMMI

© 2025 SNMMI

Powered by HighWire