BACKGROUND: The organs of laboratory mice used in radioimmunotherapy experiments are relatively small compared to the ranges of high-energy yttrium-90 (Y-90) beta particles. Current Medical Internal Radiation Dose (MIRD) dosimetry methods do not account for beta energy that escapes an organ. A dosimetry model was developed to provide more realistic dose estimates for organs in mice who received Y-90-labeled antibodies by accounting for physical and geometric factors, loss of beta dose due to small organ sizes, and cross-organ doses. METHODS: The dimensions, masses, surface areas, and overlapping areas of different organs of 10 athymic nude mice, each weighing approximately 25 g, were measured to form a realistic geometric model. Major organs in this model include the liver, spleen, kidneys, lungs, heart, stomach, small intestine, large intestine, thyroid, pancreas, bone, marrow, and carcass. A subcutaneous tumor mass also was included in the model. By accounting for small organ absorbed fractions and cross-organ beta doses, the MIRD methodology was extended from humans to mice for beta dose calculations. RESULTS: Absorbed fractions of beta energy were calculated using the Berger's point kernels and the electron transport code EGS4. Except for the tumor and carcass, the self-organ absorbed fractions ranged from 15% to 20% in smaller organs (the marrow and thyroid) to 65%-70% in larger organs (the liver and small intestine). Cross-organ absorbed fractions also were calculated from estimates of the overlapping surface areas between organs. CONCLUSION: The mathematic mouse model presented here provides more realistic organ dosimetry of radiolabeled monoclonal antibodies in the nude mouse, which should, in turn, contribute to a better understanding of the correlation of biodistribution study results and organ-tumor toxicity information.
BACKGROUND: The organs of laboratory mice used in radioimmunotherapy experiments are relatively small compared to the ranges of high-energy yttrium-90 (Y-90) beta particles. Current Medical Internal Radiation Dose (MIRD) dosimetry methods do not account for beta energy that escapes an organ. A dosimetry model was developed to provide more realistic dose estimates for organs in mice who received Y-90-labeled antibodies by accounting for physical and geometric factors, loss of beta dose due to small organ sizes, and cross-organ doses. METHODS: The dimensions, masses, surface areas, and overlapping areas of different organs of 10 athymic nude mice, each weighing approximately 25 g, were measured to form a realistic geometric model. Major organs in this model include the liver, spleen, kidneys, lungs, heart, stomach, small intestine, large intestine, thyroid, pancreas, bone, marrow, and carcass. A subcutaneous tumor mass also was included in the model. By accounting for small organ absorbed fractions and cross-organ beta doses, the MIRD methodology was extended from humans to mice for beta dose calculations. RESULTS: Absorbed fractions of beta energy were calculated using the Berger's point kernels and the electron transport code EGS4. Except for the tumor and carcass, the self-organ absorbed fractions ranged from 15% to 20% in smaller organs (the marrow and thyroid) to 65%-70% in larger organs (the liver and small intestine). Cross-organ absorbed fractions also were calculated from estimates of the overlapping surface areas between organs. CONCLUSION: The mathematic mouse model presented here provides more realistic organ dosimetry of radiolabeled monoclonal antibodies in the nude mouse, which should, in turn, contribute to a better understanding of the correlation of biodistribution study results and organ-tumor toxicity information.
Authors: Ethan R Balkin; Aimee Kenoyer; Johnnie J Orozco; Alexandra Hernandez; Mazyar Shadman; Darrell R Fisher; Damian J Green; Mark D Hylarides; Oliver W Press; D Scott Wilbur; John M Pagel Journal: Cancer Res Date: 2014-09-26 Impact factor: 12.701
Authors: S Thompson; B Ballard; Z Jiang; E Revskaya; N Sisay; W H Miller; C S Cutler; E Dadachova; L C Francesconi Journal: Nucl Med Biol Date: 2013-12-30 Impact factor: 2.408
Authors: John M Pagel; Aimee L Kenoyer; Tom Bäck; Donald K Hamlin; D Scott Wilbur; Darrell R Fisher; Steven I Park; Shani Frayo; Amanda Axtman; Nural Orgun; Johnnie Orozco; Jaideep Shenoi; Yukang Lin; Ajay K Gopal; Damian J Green; Frederick R Appelbaum; Oliver W Press Journal: Blood Date: 2011-05-25 Impact factor: 22.113
Authors: Damian J Green; Shani L Frayo; Yukang Lin; Donald K Hamlin; Darrell R Fisher; Sofia H L Frost; Aimee L Kenoyer; Mark D Hylarides; Ajay K Gopal; Theodore A Gooley; Johnnie J Orozco; Brian G Till; Shyril O'Steen; Kelly D Orcutt; D Scott Wilbur; K Dane Wittrup; Oliver W Press Journal: Cancer Res Date: 2016-09-02 Impact factor: 12.701
Authors: Johnnie J Orozco; Tom Bäck; Aimee Kenoyer; Ethan R Balkin; Donald K Hamlin; D Scott Wilbur; Darrell R Fisher; Shani L Frayo; Mark D Hylarides; Damian J Green; Ajay K Gopal; Oliver W Press; John M Pagel Journal: Blood Date: 2013-03-07 Impact factor: 22.113
Authors: Yubin Miao; Said D Figueroa; Darrell R Fisher; Herbert A Moore; Richard F Testa; Timothy J Hoffman; Thomas P Quinn Journal: J Nucl Med Date: 2008-04-15 Impact factor: 10.057