Neutron autoradiography to study the microdistribution of boron in the lung

Espain, María Sol; Viegas, Ana Mailén Dattoli; Trivillin, Verónica A.; Martin, G. Saint; Thorp, Silvia Inés; Curotto, Paula; Pozzi, Enrique J. Sánchez; González, Sara Josefina; Portu, Agustina Mariana

doi:10.1016/j.apradiso.2020.109331

Cited by 15 publications

(24 citation statements)

References 30 publications

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“…Human tissue also contains certain isotopes that react with neutrons. Due to the values of nuclear cross-sections, most meaningful interactions of neutrons with human tissue involve 1 H, 12 C, 14 N, and 16 O isotopes, which account for 99.2% of all atoms in the human body [35]. The types of occurring DNA lesions -base damage, crosslinks DNA-protein or DNA-DNA, double-strand breaks (DSB), single-strand break (SSB), sugar-phosphate backbone interruption etc.…”

Section: Physical Bases and Fundamental Dosimetric Process Of Bnctmentioning

confidence: 99%

“…As the boron concentration level directly affects the intensity of the boron neutron capture reaction and hence the dose to the tumor and other tissue, it is also essential to image the boron distribution while considering BNCT. Several modalities are widely used to assess boron dose delivered to the residual tumor volume, and they can provide information about the 10 B distribution at the microscopic level [12,13]. To improve molecular imaging, several approaches have been proposed [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Physical bases of Boron Neutron Capture Therapy, Dosimetry, and Its Mechanisms of Action - Critical Overview of the Literature

Skwierawska¹,

Balcerzyk²,

López-Valverde³

et al. 2021

Preprint

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The success of boron neutron capture therapy(BNCT) mainly depends on sufficient spatial bio-distribution of boron(10B) localized around or within the neoplastic cells to produce a high dose gradient between the tumor and healthy tissue. Contrary to what is usual in radiotherapy, BNCT proposes treatment planning directed at the cell instead of the tumor mass. However, it is not yet possible to precisely determine the concentration of 10B in a specific tissue in real-time using non-invasive methods. Some critical issues still need to be resolved if BNCT is to become valuable, minimally invasive, and efficient cancer treatment. This review article provides an overview of fundamental principles, the recent advances, and future directions of BNCT as cellular targeted cancer therapy. The main emphasis is on topics related to biological dosimetry, methods for as-sessment of boron concentration, mechanisms of action of BNCT, and its physical bases for clinical implementation.

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Section: Physical Bases and Fundamental Dosimetric Process Of Bnctmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Physical bases of Boron Neutron Capture Therapy, Dosimetry, and Its Mechanisms of Action - Critical Overview of the Literature

Skwierawska¹,

Balcerzyk²,

López-Valverde³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Because the boron concentration level directly affects the yield of alpha and Li particles generated and hence the dose to the tumor and other tissue, it is also essential to image the boron distribution when considering BNCT. Several modalities are widely used to assess the boron dose delivered to the residual tumor volume, and they can provide information on the distribution of 10 B at the microscopic level [ 12 , 13 ]. To improve molecular imaging, several other approaches have been proposed [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Clinical Viability of Boron Neutron Capture Therapy for Personalized Radiation Treatment

Skwierawska

López-Valverde

Balcerzyk

et al. 2022

Cancers

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Boron Neutron Capture Therapy (BNCT) is a promising binary disease-targeted therapy, as neutrons preferentially kill cells labeled with boron (10B), which makes it a precision medicine treatment modality that provides a therapeutic effect exclusively on patient-specific tumor spread. Contrary to what is usual in radiotherapy, BNCT proposes cell-tailored treatment planning rather than to the tumor mass. The success of BNCT depends mainly on the sufficient spatial biodistribution of 10B located around or within neoplastic cells to produce a high-dose gradient between the tumor and healthy tissue. However, it is not yet possible to precisely determine the concentration of 10B in a specific tissue in real-time using non-invasive methods. Critical issues remain to be resolved if BNCT is to become a valuable, minimally invasive, and efficient treatment. In addition, functional imaging technologies, such as PET, can be applied to determine biological information that can be used for the combined-modality radiotherapy protocol for each specific patient. Regardless, not only imaging methods but also proteomics and gene expression methods will facilitate BNCT becoming a modality of personalized medicine. This work provides an overview of the fundamental principles, recent advances, and future directions of BNCT as cell-targeted cancer therapy for personalized radiation treatment.

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“…where mori is the mass of the original sample before evaporation and mdry is the mass of dried sample after evaporation. CEv can be used to convert weight reduction to thickness change [12,13].…”

Section: Introductionmentioning

confidence: 99%

Quantitative autoradiography in boron neutron capture therapy considering the particle ranges in the samples

et al. 2021

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Neutron autoradiography to study the microdistribution of boron in the lung

Cited by 15 publications

References 30 publications

Physical bases of Boron Neutron Capture Therapy, Dosimetry, and Its Mechanisms of Action - Critical Overview of the Literature

Physical bases of Boron Neutron Capture Therapy, Dosimetry, and Its Mechanisms of Action - Critical Overview of the Literature

Clinical Viability of Boron Neutron Capture Therapy for Personalized Radiation Treatment

Quantitative autoradiography in boron neutron capture therapy considering the particle ranges in the samples

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