Literature DB >> 25012457

MIRD pamphlet No. 25: MIRDcell V2.0 software tool for dosimetric analysis of biologic response of multicellular populations.

Behrooz Vaziri, Han Wu, Atam P Dhawan, Peicheng Du, Roger W Howell.   

Abstract

Patients undergoing nuclear medicine procedures for cancer therapy are administered radiopharmaceuticals that emit various types of radiation. Because radiation has differential delivery to and uptake by cells in tissue, radiation exposures are often highly nonuniform. Some cell populations in a tissue may contain widely different amounts of radioactivity, whereas other cell populations in the same tissue may contain no radioactivity, referred to as labeled and unlabeled cells, respectively. Furthermore, the toxicity of the radiations emitted can depend on the location of the radioactive decay within the cell (e.g., nucleus vs. cytoplasm). Therefore, the response of a given cell depends on the absorbed dose received from radiations emitted by decays within the cell (self-dose) and emitted by decays in neighboring cells (cross-dose), among other factors. Taken together, these variables make it difficult to predict the response of cell populations to radiopharmaceuticals. Accordingly, to assist in designing treatment plans for therapeutic radiopharmaceuticals, an applet software application called MIRDcell was developed. This applet models the distribution of radiopharmaceuticals in tissues, calculates the distribution of radiation dose, models responses on a cell-by-cell basis, and predicts the surviving fraction of the labeled and unlabeled cell populations. MIRDcell can be accessed at http://mirdcell.njms.rutgers.edu/.
© 2014 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

Entities:  

Keywords:  cell survival; dosimetry; multicellular cluster; nonuniform activity distribution; radionuclide

Mesh:

Year:  2014        PMID: 25012457     DOI: 10.2967/jnumed.113.131037

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  28 in total

1.  A model for optimizing delivery of targeted radionuclide therapies into resection cavity margins for the treatment of primary brain cancers.

Authors:  Raghu Raghavan; Roger W Howell; Michael R Zalutsky
Journal:  Biomed Phys Eng Express       Date:  2017-05-05

2.  Monte Carlo single-cell dosimetry using Geant4-DNA: the effects of cell nucleus displacement and rotation on cellular S values.

Authors:  Ramak Salim; Payvand Taherparvar
Journal:  Radiat Environ Biophys       Date:  2019-03-29       Impact factor: 1.925

3.  Antibody with Infinite Affinity for In Vivo Tracking of Genetically Engineered Lymphocytes.

Authors:  Simone Krebs; Afruja Ahad; Lukas M Carter; Justin Eyquem; Christian Brand; Meghan Bell; Vladimir Ponomarev; Thomas Reiner; Claude F Meares; Stephen Gottschalk; Michel Sadelain; Steven M Larson; Wolfgang A Weber
Journal:  J Nucl Med       Date:  2018-06-14       Impact factor: 10.057

4.  Modeling Cell and Tumor-Metastasis Dosimetry with the Particle and Heavy Ion Transport Code System (PHITS) Software for Targeted Alpha-Particle Radionuclide Therapy.

Authors:  Dongyoul Lee; Mengshi Li; Bryan Bednarz; Michael K Schultz
Journal:  Radiat Res       Date:  2018-06-26       Impact factor: 2.841

5.  PARaDIM: A PHITS-Based Monte Carlo Tool for Internal Dosimetry with Tetrahedral Mesh Computational Phantoms.

Authors:  Lukas M Carter; Troy M Crawford; Tatsuhiko Sato; Takuya Furuta; Chansoo Choi; Chan Hyeong Kim; Justin L Brown; Wesley E Bolch; Pat B Zanzonico; Jason S Lewis
Journal:  J Nucl Med       Date:  2019-06-14       Impact factor: 10.057

6.  Monte Carlo track-structure for the radionuclide Copper-64: characterization of S-values, nanodosimetry and quantification of direct damage to DNA.

Authors:  J Carrasco-Hernández; J Ramos-Méndez; B Faddegon; A R Jalilian; M Moranchel; M A Ávila-Rodríguez
Journal:  Phys Med Biol       Date:  2020-07-27       Impact factor: 3.609

7.  Effects of radiation type and delivery mode on a radioresistant eukaryote Cryptococcus neoformans.

Authors:  Igor Shuryak; Ruth A Bryan; Jack Broitman; Stephen A Marino; Alfred Morgenstern; Christos Apostolidis; Ekaterina Dadachova
Journal:  Nucl Med Biol       Date:  2015-03-11       Impact factor: 2.408

8.  Targeted Brain Tumor Radiotherapy Using an Auger Emitter.

Authors:  Giacomo Pirovano; Stephen A Jannetti; Lukas M Carter; Ahmad Sadique; Susanne Kossatz; Navjot Guru; Paula Demétrio De Souza França; Masatomo Maeda; Brian M Zeglis; Jason S Lewis; John L Humm; Thomas Reiner
Journal:  Clin Cancer Res       Date:  2020-02-17       Impact factor: 12.531

9.  Nanoconjugation of PSMA-Targeting Ligands Enhances Perinuclear Localization and Improves Efficacy of Delivered Alpha-Particle Emitters against Tumor Endothelial Analogues.

Authors:  Charles Zhu; Amey Bandekar; Michelle Sempkowski; Sangeeta Ray Banerjee; Martin G Pomper; Frank Bruchertseifer; Alfred Morgenstern; Stavroula Sofou
Journal:  Mol Cancer Ther       Date:  2015-11-19       Impact factor: 6.261

Review 10.  B7-H3-targeted Radioimmunotherapy of Human Cancer.

Authors:  Benjamin B Kasten; Soldano Ferrone; Kurt R Zinn; Donald J Buchsbaum
Journal:  Curr Med Chem       Date:  2020       Impact factor: 4.530

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