Literature DB >> 8410302

Internal dosimetry using data derived from autoradiographs.

J L Humm1, R M Macklis, K Bump, L M Cobb, L M Chin.   

Abstract

Cancer therapies based on administered radionuclides require accurate information on tumor dose. One of the major factors influencing the distribution of absorbed-dose characteristics is the uniformity of the radiolabel distribution in tissue. To study the effect of nonuniformities, we used image analysis techniques to measure automatically the coordinates of autoradiographic grains (sources) and cell nuclei in cut sections from three different tumors, following treatment with radiolabeled antibodies. The spatial distribution data of sources and cell nuclei from these tumor sections were assessed and the pattern of energy deposition in the cell nuclei calculated, assuming that each autoradiograph grain corresponded to a source of the alpha emitter astatine-211 (211At) or the beta emitter yttrium-90 (90Y). The distribution of deposited energy obtained for the real grain distributions was compared to the distribution assuming a locally uniform source distribution, i.e., simulating grain count averaging as produced by a microdensitometric method within a 100 x 100 microns 2 frame size (frame averaging), and a uniform distribution across the entire section (section averaging). The results show first that when the grain distribution is uniform, the average dose within the section is an adequate estimate of the dose to the cell nuclei. Second, when the grain distribution is nonuniform, the distribution of doses to the cell nuclei is significantly less when calculations use the measured grain coordinates, or frame averaging, than when section averaging is used. Third, when the sources are located on or in the cells, both frame and section averaging produce underestimates of the dose to the cell nuclei.

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Year:  1993        PMID: 8410302

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


  8 in total

1.  When may a nonuniform distribution of 131I be considered uniform? An experimental basis for multicellular dosimetry.

Authors:  Prasad V S V Neti; Roger W Howell
Journal:  J Nucl Med       Date:  2003-12       Impact factor: 10.057

2.  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

Review 3.  Challenges and progress in predicting biological responses to incorporated radioactivity.

Authors:  R W Howell; P V S V Neti; M Pinto; B I Gerashchenko; V R Narra; E I Azzam
Journal:  Radiat Prot Dosimetry       Date:  2007-02-06       Impact factor: 0.972

4.  Lognormal distribution of cellular uptake of radioactivity: statistical analysis of alpha-particle track autoradiography.

Authors:  Prasad V S V Neti; Roger W Howell
Journal:  J Nucl Med       Date:  2008-05-15       Impact factor: 10.057

5.  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

Review 6.  Radionuclide targeting and dosimetry at the microscopic level: the role of microautoradiography.

Authors:  M R Puncher; P J Blower
Journal:  Eur J Nucl Med       Date:  1994-12

7.  MIRD Pamphlet No. 22 (abridged): radiobiology and dosimetry of alpha-particle emitters for targeted radionuclide therapy.

Authors:  George Sgouros; John C Roeske; Michael R McDevitt; Stig Palm; Barry J Allen; Darrell R Fisher; A Bertrand Brill; Hong Song; Roger W Howell; Gamal Akabani; Wesley E Bolch; A Bertrand Brill; Darrell R Fisher; Roger W Howell; Ruby F Meredith; George Sgouros; Barry W Wessels; Pat B Zanzonico
Journal:  J Nucl Med       Date:  2010-01-15       Impact factor: 10.057

8.  Autoradiography and density gradient separation of technetium-99m-exametazime (HMPAO) labelled leucocytes reveals selectivity for eosinophils.

Authors:  M R Puncher; P J Blower
Journal:  Eur J Nucl Med       Date:  1994-11
  8 in total

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