Literature DB >> 17287203

Challenges and progress in predicting biological responses to incorporated radioactivity.

R W Howell1, P V S V Neti, M Pinto, B I Gerashchenko, V R Narra, E I Azzam.   

Abstract

Prediction of risks and therapeutic outcome in nuclear medicine largely rely on calculation of the absorbed dose. Absorbed dose specification is complex due to the wide variety of radiations emitted, non-uniform activity distribution, biokinetics, etc. Conventional organ absorbed dose estimates assumed that radioactivity is distributed uniformly throughout the organ. However, there have been dramatic improvements in dosimetry models that reflect the substructure of organs as well as tissue elements within them. These models rely on improved nuclear medicine imaging capabilities that facilitate determination of activity within voxels that represent tissue elements of approximately 0.2-1 cm(3). However, even these improved approaches assume that all cells within the tissue element receive the same dose. The tissue element may be comprised of a variety of cells having different radiosensitivities and different incorporated radioactivity. Furthermore, the extent to which non-uniform distributions of radioactivity within a small tissue element impact the absorbed dose distribution is strongly dependent on the number, type, and energy of the radiations emitted by the radionuclide. It is also necessary to know whether the dose to a given cell arises from radioactive decays within itself (self-dose) or decays in surrounding cells (cross-dose). Cellular response to self-dose can be considerably different than its response to cross-dose from the same radiopharmaceutical. Bystander effects can also play a role in the response. Evidence shows that even under conditions of 'uniform' distribution of radioactivity, a combination of organ dosimetry, voxel dosimetry and dosimetry at the cellular and multicellular levels can be required to predict response.

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Year:  2007        PMID: 17287203      PMCID: PMC2976710          DOI: 10.1093/rpd/ncl448

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  50 in total

1.  A quantitative autoradiographic study of the heterogeneous activity distribution of different indium-111-labeled radiopharmaceuticals in rat tissues.

Authors:  B A Jönsson; S E Strand; B S Larsson
Journal:  J Nucl Med       Date:  1992-10       Impact factor: 10.057

2.  Bystander cell proliferation is modulated by the number of adjacent cells that were exposed to ionizing radiation.

Authors:  Bogdan I Gerashchenko; Roger W Howell
Journal:  Cytometry A       Date:  2005-07       Impact factor: 4.355

3.  Log normal distribution of cellular uptake of radioactivity: implications for biologic responses to radiopharmaceuticals.

Authors:  Prasad V S V Neti; Roger W Howell
Journal:  J Nucl Med       Date:  2006-06       Impact factor: 10.057

4.  Three-dimensional dosimetry for radioimmunotherapy treatment planning.

Authors:  G Sgouros; S Chiu; K S Pentlow; L J Brewster; H Kalaigian; B Baldwin; F Daghighian; M C Graham; S M Larson; R Mohan
Journal:  J Nucl Med       Date:  1993-09       Impact factor: 10.057

5.  A model of cell inactivation by alpha-particle internal emitters.

Authors:  J L Humm; L M Chin
Journal:  Radiat Res       Date:  1993-05       Impact factor: 2.841

6.  Assessment of low linear energy transfer radiation-induced bystander mutagenesis in a three-dimensional culture model.

Authors:  Rudranath Persaud; Hongning Zhou; Sarah E Baker; Tom K Hei; Eric J Hall
Journal:  Cancer Res       Date:  2005-11-01       Impact factor: 12.701

7.  Tumor activity confirmation and isodose curve display for patients receiving iodine-131-labeled 16.88 human monoclonal antibody.

Authors:  A K Erdi; B W Wessels; R DeJager; Y E Erdi; F B Atkins; E D Yorke; L Smith; E Huang; M Smiddy; J Murray
Journal:  Cancer       Date:  1994-02-01       Impact factor: 6.860

8.  Internal dosimetry using data derived from autoradiographs.

Authors:  J L Humm; R M Macklis; K Bump; L M Cobb; L M Chin
Journal:  J Nucl Med       Date:  1993-10       Impact factor: 10.057

Review 9.  Tritium radiobiology and relative biological effectiveness.

Authors:  T Straume; A L Carsten
Journal:  Health Phys       Date:  1993-12       Impact factor: 1.316

10.  The question of relative biological effectiveness and quality factor for auger emitters incorporated into proliferating mammalian cells.

Authors:  R W Howell; D V Rao; D Y Hou; V R Narra; K S Sastry
Journal:  Radiat Res       Date:  1991-12       Impact factor: 2.841

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  3 in total

1.  Survival of tumor and normal cells upon targeting with electron-emitting radionuclides.

Authors:  Didier Rajon; Wesley E Bolch; Roger W Howell
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

2.  Monte Carlo simulation of irradiation and killing in three-dimensional cell populations with lognormal cellular uptake of radioactivity.

Authors:  Roger W Howell; Didier Rajon; Wesley E Bolch
Journal:  Int J Radiat Biol       Date:  2011-11-30       Impact factor: 2.694

3.  Induction of lethal bystander effects in human breast cancer cell cultures by DNA-incorporated Iodine-125 depends on phenotype.

Authors:  John M Akudugu; Edouard I Azzam; Roger W Howell
Journal:  Int J Radiat Biol       Date:  2012-05-16       Impact factor: 2.694

  3 in total

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