The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
MIRD Pamphlet No. 23: Quantitative SPECT for Patient-Specific 3-Dimensional Dosimetry in Internal Radionuclide Therapy
Open accessAbstract
In internal radionuclide therapy, a growing interest in voxel-level estimates of tissue-absorbed dose has been driven by the desire to report radiobiologic quantities that account for the biologic consequences of both spatial and temporal nonuniformities in these dose estimates. This report presents an overview of 3-dimensional SPECT methods and requirements for internal dosimetry at both regional and voxel levels. Combined SPECT/CT image-based methods are emphasized, because the CT-derived anatomic information allows one to address multiple technical factors that affect SPECT quantification while facilitating the patient-specific voxel-level dosimetry calculation itself. SPECT imaging and reconstruction techniques for quantification in radionuclide therapy are not necessarily the same as those designed to optimize diagnostic imaging quality. The current overview is intended as an introduction to an upcoming series of MIRD pamphlets with detailed radionuclide-specific recommendations intended to provide best-practice SPECT quantification-based guidance for radionuclide dosimetry.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Maximum Likelihood Reconstruction for Emission Tomography
Shepp, L. A., & Vardi, Y. (1982) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.1982.4307558 · Cited by 4,429
Accelerated image reconstruction using ordered subsets of projection data
Hudson, H. M., & Larkin, R. S. (1994) · IEEE Transactions on Medical Imaging · doi:10.1109/42.363108 · Cited by 3,711
Stabin, M. G., Sparks, R. B., & Crowe, E. A. (2005) · PubMed · Cited by 1,350
4D XCAT phantom for multimodality imaging research
Segars, W. P., Sturgeon, G., Mendonca, S., Grimes, J., & Tsui, B. M. W. (2010) · Medical Physics · doi:10.1118/1.3480985 · Cited by 1,287
Bentzen, S. M., Constine, L. S., Deasy, J. O., Eisbruch, A., Jackson, A., Marks, L. B., Ten Haken, R. K., & Yorke, E. D. (2010) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2009.09.040 · Cited by 1,257
Complication Probability as Assessed from Dose-Volume Histograms
Lyman, J. T. (1985) · Radiation Research · doi:10.2307/3576626 · Cited by 1,160
Bolch, W. E., Eckerman, K. F., Sgouros, G., & Thomas, S. R. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.056036 · Cited by 913
Self-citationDale, R. G. (1985) · The British Journal of Radiology · doi:10.1259/0007-1285-58-690-515 · Cited by 835
A practical method for position-dependent Compton-scatter correction in single photon emission CT
Ogawa, K., Harata, Y., Ichihara, T., Kubo, A., & Hashimoto, S. (1991) · IEEE Transactions on Medical Imaging · doi:10.1109/42.97591 · Cited by 616
Siegel, J. A., Thomas, S. R., Stubbs, J. B., Mg, S., Hays, M. T., Koral, K. F., Robertson, J. S., Howell, R. W., Wessels, B. W., Fisher, D. R., et al. (1999) · PubMed · Cited by 572
Self-citation
Cited by
Radiopharmaceutical therapy in cancer: clinical advances and challenges
Sgouros, G., Bodei, L., McDevitt, M. R., & Nedrow, J. R. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0073-9 · Cited by 963
Self-citationLjungberg, M., Celler, A., Konijnenberg, M. W., Eckerman, K. F., Dewaraja, Y. K., & Sjögreen-Gleisner, K. (2016) · Journal of Nuclear Medicine · doi:10.2967/jnumed.115.159012 · Cited by 369
Self-citationDelker, A., Fendler, W. P., Kratochwil, C., Brunegraf, A., Gosewisch, A., Gildehaus, F. J., Tritschler, S., Stief, C. G., Kopka, K., Haberkorn, U., et al. (2016) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-015-3174-7 · Cited by 322
Role of Artificial Intelligence in Theranostics
Brosch-Lenz, J., Yousefirizi, F., Zukotynski, K., Beauregard, J.-M., Gaudet, V., Saboury, B., Rahmim, A., & Uribe, C. (2021) · PET Clinics · doi:10.1016/j.cpet.2021.06.002 · Cited by 42
The Role of Preclinical Models in Radiopharmaceutical Therapy
Sgouros, G., Hobbs, R. F., & Abou, D. S. (2014) · American Society of Clinical Oncology Educational Book · doi:10.14694/edbook_am.2014.34.e121 · Cited by 16
Self-citation
Metadata
- Authors
- Dewaraja, Y. K., Frey, E. C., Sgouros, G., Brill, A. B., Roberson, P., Zanzonico, P. B., & Ljungberg, M.
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2012-06-28
- Volume
- 53
- Issue
- 8
- Pages
- 1310-1325
- ISSN
- 0161-5505 (ISSN-L)
- 2159-662X
- OpenAlex
- W2148878903
- Cited by
- 419
- References
- 71
- FWCI
- 10.46
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MIRD Pamphlet No. 23: Quantitative SPECT for Patient-Specific 3-Dimensional Dosimetry in Internal Radionuclide Therapy. https://app.cochat.ai/papers/10.2967/jnumed.111.100123
- The paper
- Dewaraja, Y. K., Frey, E. C., Sgouros, G., Brill, A. B., Roberson, P., Zanzonico, P. B., & Ljungberg, M. (2012). MIRD Pamphlet No. 23: Quantitative SPECT for Patient-Specific 3-Dimensional Dosimetry in Internal Radionuclide Therapy. Journal of Nuclear Medicine. https://doi.org/10.2967/jnumed.111.100123
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.