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Tools for the Advancement of Radiopharmaceutical Therapy

Mellhammar, Emma LU (2023) In Lund University, Faculty of Medicine Doctoral Dissertation Series
Abstract
Radiopharmaceutical therapy is used to treat cancers and other diseases with radiolabeled pharmaceuticals. The treatment targets specific cells, and the emitted ionizing radiation cause cytotoxic damage. Dosimetry is performed to estimate the absorbed dose from the energy deposited in the body. This requires measurement of the activity in vivo and knowledge of the retention time of the activity in tumor and organs. Preclinical trials precede clinical studies and evaluate the potential of new radiopharmaceuticals for treatment. Similarly, in vitro and in vivo experiments with radiopharmaceuticals and sources of ionizing radiation are performed to increase radiobiological knowledge, which is helpful in the optimization of radiopharmaceutical... (More)
Radiopharmaceutical therapy is used to treat cancers and other diseases with radiolabeled pharmaceuticals. The treatment targets specific cells, and the emitted ionizing radiation cause cytotoxic damage. Dosimetry is performed to estimate the absorbed dose from the energy deposited in the body. This requires measurement of the activity in vivo and knowledge of the retention time of the activity in tumor and organs. Preclinical trials precede clinical studies and evaluate the potential of new radiopharmaceuticals for treatment. Similarly, in vitro and in vivo experiments with radiopharmaceuticals and sources of ionizing radiation are performed to increase radiobiological knowledge, which is helpful in the optimization of radiopharmaceutical therapy. Dosimetry is also necessary for these studies to correctly quantify the biological response to ionizing radiation.
However, standard dosimetry only considers macroscopic volumes such as organs or solid tumors. Due to the short range of the emitted radiation, heterogeneous activity uptake can generate heterogeneous energy depositions. In a tumor, this means a large variation in particle tracks hitting the cell nuclei, where cells in
undertreated areas will not receive any particle tracks through the cell nucleus. Since damage to DNA in the cell nucleus is the main cause of radiation-induced cell death, this can reduce the treatment effect. Early insight into these limitations of a new radiopharmaceutical can be achieved in preclinical studies investigating
the intra-tumoral distribution of the radiopharmaceutical uptake. Paper 4 investigated the tumor control probability from the intra-tumoral distribution of 177Lu-PSMA-617 in LNCaP xenografts. Monte Carlo simulations can be used for small-scale and microscopic dosimetry, where small targets such as cells and cell
nuclei are considered. Similarly, in paper 3, simulations of an alpha particle source and cell nuclei irradiated were used to estimate the distribution of induced γ-H2AX foci in PC3 cells irradiated with an 241Am source in vitro.
In preclinical studies of therapeutic radiopharmaceuticals, xenografted animal models are followed postinjection over long periods to evaluate the treatment response. This is usually done by measuring changes in tumor size over time. In addition, molecular imaging with positron emission tomography (PET) offers an
opportunity to measure biochemical changes in vivo, such as the radiation damage response. However, as investigated in paper 1, gamma emission from the therapeutic radiopharmaceutical in the animal model can cause perturbations to the image by increasing dead-time losses and causing signal pile-up. However, as
suggested in paper 2, preclinical intra-therapeutic PET imaging can still be performed during 177Lu-labeled radiopharmaceutical therapy, with shielding attenuating the excess photons while still allowing coincidence detection of annihilation photons. (Less)
Abstract (Swedish)
Radiopharmaceutical therapy is used to treat cancers and other diseases with radiolabeled
pharmaceuticals. The treatment targets specific cells, and the emitted ionizing radiation cause cytotoxic
damage. Dosimetry is performed to estimate the absorbed dose from the energy deposited in the body.
This requires measurement of the activity in vivo and knowledge of the retention time of the activity in tumor
and organs. Preclinical trials precede clinical studies and evaluate the potential of new radiopharmaceuticals
for treatment. Similarly, in vitro and in vivo experiments with radiopharmaceuticals and sources of ionizing
radiation are performed to increase radiobiological knowledge, which is helpful in the... (More)
Radiopharmaceutical therapy is used to treat cancers and other diseases with radiolabeled
pharmaceuticals. The treatment targets specific cells, and the emitted ionizing radiation cause cytotoxic
damage. Dosimetry is performed to estimate the absorbed dose from the energy deposited in the body.
This requires measurement of the activity in vivo and knowledge of the retention time of the activity in tumor
and organs. Preclinical trials precede clinical studies and evaluate the potential of new radiopharmaceuticals
for treatment. Similarly, in vitro and in vivo experiments with radiopharmaceuticals and sources of ionizing
radiation are performed to increase radiobiological knowledge, which is helpful in the optimization of
radiopharmaceutical therapy. Dosimetry is also necessary for these studies to correctly quantify the biological
response to ionizing radiation.
However, standard dosimetry only considers macroscopic volumes such as organs or solid tumors. Due to
the short range of the emitted radiation, heterogeneous activity uptake can generate heterogeneous energy
depositions. In a tumor, this means a large variation in particle tracks hitting the cell nuclei, where cells in
undertreated areas will not receive any particle tracks through the cell nucleus. Since damage to DNA in the
cell nucleus is the main cause of radiation-induced cell death, this can reduce the treatment effect. Early
insight into these limitations of a new radiopharmaceutical can be achieved in preclinical studies investigating
the intra-tumoral distribution of the radiopharmaceutical uptake. Paper 4 investigated the tumor control
probability from the intra-tumoral distribution of 177Lu-PSMA-617 in LNCaP xenografts. Monte Carlo
simulations can be used for small-scale and microscopic dosimetry, where small targets such as cells and cell
nuclei are considered. Similarly, in paper 3, simulations of an alpha particle source and cell nuclei irradiated
were used to estimate the distribution of induced γ-H2AX foci in PC3 cells irradiated with an 241Am source
in vitro.
In preclinical studies of therapeutic radiopharmaceuticals, xenografted animal models are followed postinjection over long periods to evaluate the treatment response. This is usually done by measuring changes in
tumor size over time. In addition, molecular imaging with positron emission tomography (PET) offers an
opportunity to measure biochemical changes in vivo, such as the radiation damage response. However, as
investigated in paper 1, gamma emission from the therapeutic radiopharmaceutical in the animal model can
cause perturbations to the image by increasing dead-time losses and causing signal pile-up. However, as
suggested in paper 2, preclinical intra-therapeutic PET imaging can still be performed during 177Lu-labeled
radiopharmaceutical therapy, with shielding attenuating the excess photons while still allowing coincidence
detection of annihilation photons. (Less)
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • Professor Bernhardt, Peter, Department of Medical Physics, University of Gothenburg
organization
publishing date
type
Thesis
publication status
published
subject
keywords
Radiopharmaceutical therapy, Nuclear medicine, Monte Carlo simulation, Intratherapeutic preclinical PET, Alpha particles, Beta Particles, radionuclides, Radiobiology, γ-H2AX, Dosimetry
in
Lund University, Faculty of Medicine Doctoral Dissertation Series
issue
2023:46
pages
95 pages
publisher
Lund University, Faculty of Medicine
defense location
Föreläsningssal Torsten Landberg, 3:e våningen, Onkologikliniken, Klinikgatan 5, Universitetssjukhuset i Lund
defense date
2023-04-21 09:00:00
ISSN
1652-8220
ISBN
978-91-8021-386-8
language
English
LU publication?
yes
id
12917287-9b50-4e9e-8ab1-b3edeeb77646
date added to LUP
2023-03-16 10:01:06
date last changed
2023-04-03 15:00:47
@phdthesis{12917287-9b50-4e9e-8ab1-b3edeeb77646,
  abstract     = {{Radiopharmaceutical therapy is used to treat cancers and other diseases with radiolabeled pharmaceuticals. The treatment targets specific cells, and the emitted ionizing radiation cause cytotoxic damage. Dosimetry is performed to estimate the absorbed dose from the energy deposited in the body. This requires measurement of the activity in vivo and knowledge of the retention time of the activity in tumor and organs. Preclinical trials precede clinical studies and evaluate the potential of new radiopharmaceuticals for treatment. Similarly, in vitro and in vivo experiments with radiopharmaceuticals and sources of ionizing radiation are performed to increase radiobiological knowledge, which is helpful in the optimization of radiopharmaceutical therapy. Dosimetry is also necessary for these studies to correctly quantify the biological response to ionizing radiation.<br/>However, standard dosimetry only considers macroscopic volumes such as organs or solid tumors. Due to the short range of the emitted radiation, heterogeneous activity uptake can generate heterogeneous energy depositions. In a tumor, this means a large variation in particle tracks hitting the cell nuclei, where cells in<br/>undertreated areas will not receive any particle tracks through the cell nucleus. Since damage to DNA in the cell nucleus is the main cause of radiation-induced cell death, this can reduce the treatment effect. Early insight into these limitations of a new radiopharmaceutical can be achieved in preclinical studies investigating<br/>the intra-tumoral distribution of the radiopharmaceutical uptake. Paper 4 investigated the tumor control probability from the intra-tumoral distribution of 177Lu-PSMA-617 in LNCaP xenografts. Monte Carlo simulations can be used for small-scale and microscopic dosimetry, where small targets such as cells and cell<br/>nuclei are considered. Similarly, in paper 3, simulations of an alpha particle source and cell nuclei irradiated were used to estimate the distribution of induced γ-H2AX foci in PC3 cells irradiated with an 241Am source in vitro.<br/>In preclinical studies of therapeutic radiopharmaceuticals, xenografted animal models are followed postinjection over long periods to evaluate the treatment response. This is usually done by measuring changes in tumor size over time. In addition, molecular imaging with positron emission tomography (PET) offers an<br/>opportunity to measure biochemical changes in vivo, such as the radiation damage response. However, as investigated in paper 1, gamma emission from the therapeutic radiopharmaceutical in the animal model can cause perturbations to the image by increasing dead-time losses and causing signal pile-up. However, as<br/>suggested in paper 2, preclinical intra-therapeutic PET imaging can still be performed during 177Lu-labeled radiopharmaceutical therapy, with shielding attenuating the excess photons while still allowing coincidence detection of annihilation photons.}},
  author       = {{Mellhammar, Emma}},
  isbn         = {{978-91-8021-386-8}},
  issn         = {{1652-8220}},
  keywords     = {{Radiopharmaceutical therapy; Nuclear medicine; Monte Carlo simulation; Intratherapeutic preclinical PET; Alpha particles; Beta Particles; radionuclides; Radiobiology; γ-H2AX; Dosimetry}},
  language     = {{eng}},
  number       = {{2023:46}},
  publisher    = {{Lund University, Faculty of Medicine}},
  school       = {{Lund University}},
  series       = {{Lund University, Faculty of Medicine Doctoral Dissertation Series}},
  title        = {{Tools for the Advancement of Radiopharmaceutical Therapy}},
  url          = {{https://lup.lub.lu.se/search/files/140604680/e_spik_ex_Emma.pdf}},
  year         = {{2023}},
}