Literature DB >> 8492759

MIRD formulation.

E E Watson1, M G Stabin, J A Siegel.   

Abstract

The MIRD scheme is not restricted to calculating mean absorbed doses in organs but can be extended to any tissue for which distribution and retention data can be obtained and for which a reasonably accurate mathematical description of the source and target tissues can be determined. The development of more accurate absorbed dose estimates and the correlation of these estimates with radiation effects will lead to a better understanding of the results from radiotherapeutic agents such as radiolabeled monoclonal antibodies. Therefore, radiobiologists and internal dosimetrists need to combine their efforts and work toward the common goal of improving the treatment of malignant diseases.

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Year:  1993        PMID: 8492759     DOI: 10.1118/1.597046

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

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Journal:  Phys Med Biol       Date:  2020-07-27       Impact factor: 3.609

2.  Quantitative SPECT/CT Imaging of (177)Lu with In Vivo Validation in Patients Undergoing Peptide Receptor Radionuclide Therapy.

Authors:  J C Sanders; T Kuwert; J Hornegger; P Ritt
Journal:  Mol Imaging Biol       Date:  2015-08       Impact factor: 3.488

Review 3.  Imaging in targeted delivery of therapy to cancer.

Authors:  Gairin Dancey; Richard H Begent; Tim Meyer
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4.  Radiation Dosimetry in 177Lu-PSMA-617 Therapy Using a Single Posttreatment SPECT/CT Scan: A Novel Methodology to Generate Time- and Tissue-Specific Dose Factors.

Authors:  Price A Jackson; Michael S Hofman; Rodney J Hicks; Mark Scalzo; John Violet
Journal:  J Nucl Med       Date:  2019-12-05       Impact factor: 11.082

5.  Radiation Dosimetry of Theragnostic Pairs for Isotopes of Iodine in IAZA.

Authors:  Hans-S Jans; Daria Stypinski; Piyush Kumar; John R Mercer; Stephen A McQuarrie; Alexander J B McEwan; Leonard I Wiebe
Journal:  Pharmaceutics       Date:  2022-08-09       Impact factor: 6.525

6.  Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy.

Authors:  Song Xue; Andrei Gafita; Chao Dong; Yu Zhao; Giles Tetteh; Bjoern H Menze; Sibylle Ziegler; Wolfgang Weber; Ali Afshar-Oromieh; Axel Rominger; Matthias Eiber; Kuangyu Shi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-06-30       Impact factor: 10.057

  6 in total

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