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Background And Purpose: Model-based dose calculation considering tissue compositions is increasingly being investigated in brachytherapy. The aim of this study was to assess the suitability of modern cone-beam computed tomography (CBCT) imaging compared to conventional computed tomography (CT) scans for this purpose.
Materials And Methods: By means of a phantom study, we evaluated the CT numbers and electron densities measured using a modern CBCT device as well as a conventional CT scanner for various materials. Based on this, we compared dose calculations (using the TG-43 formalism as well as model-based collapsed cone calculations assuming uniform materials [ACE] and considering CT numbers [ACE]) on planning CTs and control CBCTs for patients with cervical and breast cancer as well as phantom-simulated skin cancer cases. Assessing dosimetric deviations between the planning CTs and control CBCTs acquired during the treatment course served to estimate interfractional implant variations.
Results: The comparison of ACE-ACE deviations between planning CTs and control CBCTs revealed no statistically significant difference for almost all examined dose parameters. Dosimetric deviations between model-based dose calculations and TG-43 were partly significant but of small magnitude (< 10 cGy per fraction). Interfractional dosimetric variations were substantially larger than the dosimetric differences found between the various dose calculation procedures.
Conclusion: Model-based dose calculation based on modern CBCT imaging was suitable. However, the found differences between these calculations and the TG-43 formalism should be investigated in dose-outcome analyses. The observed interfractional dosimetric variations revealed the importance of performing treatment quality assurance.
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http://dx.doi.org/10.1007/s00066-024-02318-3 | DOI Listing |
Front Pharmacol
August 2025
AIMS BioScience, Co., Ltd., Seoul, Republic of Korea.
Introduction: Irinotecan (CPT-11), a topoisomerase I inhibitor, serves as a prodrug for SN-38, its active metabolite with significantly higher cytotoxic potency. Despite its clinical efficacy, irinotecan's therapeutic potential is limited by low fraction of conversion to SN-38, inefficient tumor targeting, and dose-limiting toxicities such as diarrhea and neutropenia. Nanoparticle-based formulations, such as SNB-101, offer a promising solution by encapsulating irinotecan and SN-38, enhancing solubility, improving drug delivery efficiency, and reducing systemic toxicity through tumor-specific accumulation via the enhanced permeability and retention (EPR) effect.
View Article and Find Full Text PDFJ Hazard Mater
September 2025
Private Researcher, Kupiškis, Lithuania.
An integrated framework is introduced and applied to assess the health impact of airborne pollution with greater physiological relevance, moving beyond conventional exposure metrics. Measured particle number size distribution data was integrated with a regional respiratory tract deposition fractions to estimate total and alveolar deposited particle surface area concentrations. Land use regression modeling, combined with randomized commuting patterns, enabled the evaluation of city-specific alveolar surface area deposition doses, providing new insight into localized average exposure and its implications for public health.
View Article and Find Full Text PDFClin Transl Sci
September 2025
Institute of Pharmacology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
The objective of this study was to develop a population pharmacokinetic model for linezolid in hematooncological patients with sepsis, and to propose dosing optimization based on pharmacokinetic covariates that would lead to improved achievement of the PK/PD target. Therapeutic drug monitoring data from hematooncological patients treated with linezolid for suspected or proven sepsis were analyzed. A pharmacokinetic population model for linezolid was constructed using a nonlinear mixed-effects modeling approach.
View Article and Find Full Text PDFPol J Radiol
July 2025
Department of Radiology, Mianyang Hospital of Traditional Chinese Medicine, Sichuan, China.
Purpose: Accurate quantification of coronary artery calcium (CAC) via computed tomography (CT) imaging is essential for effective cardiovascular risk assessment. This study investigates the impact of different iteration levels in the advanced model-based iterative reconstruction (ADMIRE) algorithm on artificial intelligence-driven CAC quantification and subsequent risk stratification, with filtered back projection (FBP) serving as the reference.
Material And Methods: For 254 patients undergoing coronary CT angiography (120 kVp, automated tube current), raw data were reconstructed using FBP and ADMIRE levels 1-5 (kernel Sa36, 3.
Dose Response
August 2025
U1296 Unit (Radiation: Defense, Health and Environment), Institut National de la Santé et de la Recherche Médicale (INSERM), Lyon, France.
The natural radiation background contributes to the dose of ionizing radiation received by the whole population. However, the telluric component of the natural background radiation is not homogenous on Earth: while the average effective dose has been estimated to be 2.4 mSv/year worldwide, certain regions are considered as high natural background radiation areas (HBRA).
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