Preclinical Voxel-Based Dosimetry in Theranostics: a Review

Due to the increasing use of preclinical targeted radionuclide therapy (TRT) studies for the development of novel theranostic agents, several studies have been performed to accurately estimate absorbed doses to mice at the voxel level using reference mouse phantoms and Monte Carlo (MC) simulations....

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Published inNuclear medicine and molecular imaging Vol. 54; no. 2; pp. 86 - 97
Main Authors Gupta, Arun, Lee, Min Sun, Kim, Joong Hyun, Lee, Dong Soo, Lee, Jae Sung
Format Journal Article
LanguageEnglish
Published Singapore Springer Singapore 01.04.2020
Springer Nature B.V
대한핵의학회
Subjects
Cardiology
Computer simulation
Computing time
Dosimeters
Dosimetry
Imaging
Mathematical analysis
Medicine
Medicine & Public Health
Nuclear Medicine
Oncology
Orthopedics
Radiation therapy
Radioisotopes
Radiology
Review
방사선과학
Lu
Voxel-based dosimetry
Preclinical
Monte Carlo
Theranostic
177Lu
Online AccessGet full text
ISSN1869-3474
1869-3482
DOI10.1007/s13139-020-00640-z

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Abstract Due to the increasing use of preclinical targeted radionuclide therapy (TRT) studies for the development of novel theranostic agents, several studies have been performed to accurately estimate absorbed doses to mice at the voxel level using reference mouse phantoms and Monte Carlo (MC) simulations. Accurate dosimetry is important in preclinical theranostics to interpret radiobiological dose-response relationships and to translate results for clinical use. Direct MC (DMC) simulation is believed to produce more realistic voxel-level dose distribution with high precision because tissue heterogeneities and nonuniform source distributions in patients or animals are considered. Although MC simulation is considered to be an accurate method for voxel-based absorbed dose calculations, it is time-consuming, computationally demanding, and often impractical in daily practice. In this review, we focus on the current status of voxel-based dosimetry methods applied in preclinical theranostics and discuss the need for accurate and fast voxel-based dosimetry methods for pretherapy absorbed dose calculations to optimize the dose computation time in preclinical TRT.
AbstractList Due to the increasing use of preclinical targeted radionuclide therapy (TRT) studies for the development of novel theranostic agents, several studies have been performed to accurately estimate absorbed doses to mice at the voxel level using reference mouse phantoms and Monte Carlo (MC) simulations. Accurate dosimetry is important in preclinical theranostics to interpret radiobiological dose-response relationships and to translate results for clinical use. Direct MC (DMC) simulation is believed to produce more realistic voxel-level dose distribution with high precision because tissue heterogeneities and nonuniform source distributions in patients or animals are considered. Although MC simulation is considered to be an accurate method for voxel-based absorbed dose calculations, it is time-consuming, computationally demanding, and often impractical in daily practice. In this review, we focus on the current status of voxel-based dosimetry methods applied in preclinical theranostics and discuss the need for accurate and fast voxel-based dosimetry methods for pretherapy absorbed dose calculations to optimize the dose computation time in preclinical TRT.
Due to the increasing use of preclinical targeted radionuclide therapy (TRT) studies for the development of novel theranostic agents, several studies have been performed to accurately estimate absorbed doses to mice at the voxel level using reference mouse phantoms and Monte Carlo (MC) simulations. Accurate dosimetry is important in preclinical theranostics to interpret radiobiological dose-response relationships and to translate results for clinical use. Direct MC (DMC) simulation is believed to produce more realistic voxel-level dose distribution with high precision because tissue heterogeneities and nonuniform source distributions in patients or animals are considered. Although MC simulation is considered to be an accurate method for voxelbased absorbed dose calculations, it is time-consuming, computationally demanding, and often impractical in daily practice. In this review, we focus on the current status of voxel-based dosimetry methods applied in preclinical theranostics and discuss the need for accurate and fast voxel-based dosimetry methods for pretherapy absorbed dose calculations to optimize the dose computation time in preclinical TRT. KCI Citation Count: 0
Due to the increasing use of preclinical targeted radionuclide therapy (TRT) studies for the development of novel theranostic agents, several studies have been performed to accurately estimate absorbed doses to mice at the voxel level using reference mouse phantoms and Monte Carlo (MC) simulations. Accurate dosimetry is important in preclinical theranostics to interpret radiobiological dose-response relationships and to translate results for clinical use. Direct MC (DMC) simulation is believed to produce more realistic voxel-level dose distribution with high precision because tissue heterogeneities and nonuniform source distributions in patients or animals are considered. Although MC simulation is considered to be an accurate method for voxel-based absorbed dose calculations, it is time-consuming, computationally demanding, and often impractical in daily practice. In this review, we focus on the current status of voxel-based dosimetry methods applied in preclinical theranostics and discuss the need for accurate and fast voxel-based dosimetry methods for pretherapy absorbed dose calculations to optimize the dose computation time in preclinical TRT.Due to the increasing use of preclinical targeted radionuclide therapy (TRT) studies for the development of novel theranostic agents, several studies have been performed to accurately estimate absorbed doses to mice at the voxel level using reference mouse phantoms and Monte Carlo (MC) simulations. Accurate dosimetry is important in preclinical theranostics to interpret radiobiological dose-response relationships and to translate results for clinical use. Direct MC (DMC) simulation is believed to produce more realistic voxel-level dose distribution with high precision because tissue heterogeneities and nonuniform source distributions in patients or animals are considered. Although MC simulation is considered to be an accurate method for voxel-based absorbed dose calculations, it is time-consuming, computationally demanding, and often impractical in daily practice. In this review, we focus on the current status of voxel-based dosimetry methods applied in preclinical theranostics and discuss the need for accurate and fast voxel-based dosimetry methods for pretherapy absorbed dose calculations to optimize the dose computation time in preclinical TRT.
Author Lee, Dong Soo
Lee, Min Sun
Kim, Joong Hyun
Gupta, Arun
Lee, Jae Sung
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  givenname: Min Sun
  surname: Lee
  fullname: Lee, Min Sun
  organization: Department of Radiology, School of Medicine, Stanford University
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  givenname: Joong Hyun
  surname: Kim
  fullname: Kim, Joong Hyun
  organization: Center for Ionizing Radiation, Korea Research Institute of Standards and Science
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  givenname: Dong Soo
  surname: Lee
  fullname: Lee, Dong Soo
  organization: Department of Nuclear Medicine, College of Medicine, Seoul National University
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  givenname: Jae Sung
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SecondaryResourceType review_article
Snippet Due to the increasing use of preclinical targeted radionuclide therapy (TRT) studies for the development of novel theranostic agents, several studies have been...
SourceID nrf
pubmedcentral
proquest
pubmed
crossref
springer
SourceType Open Website
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Aggregation Database
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StartPage 86
SubjectTerms Cardiology
Computer simulation
Computing time
Dosimeters
Dosimetry
Imaging
Mathematical analysis
Medicine
Medicine & Public Health
Nuclear Medicine
Oncology
Orthopedics
Radiation therapy
Radioisotopes
Radiology
Review
방사선과학
Title Preclinical Voxel-Based Dosimetry in Theranostics: a Review
URI https://link.springer.com/article/10.1007/s13139-020-00640-z
https://www.ncbi.nlm.nih.gov/pubmed/32377260
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https://pubmed.ncbi.nlm.nih.gov/PMC7198676
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Volume 54
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ispartofPNX Nuclear Medicine and Molecular Imaging , 2020, 54(2), , pp.86-97
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