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Purpose: This study investigated the impact of lung density on the isolated lung tumor dose for volumetric modulated arc therapy (VMAT) in an inline magnetic resonance linear accelerator (MR-Linac) using the Monte Carlo (MC) simulation.
Methods: CT images of the thorax phantoms with lung tumors of 1, 2, and 3 cm diameters were converted into voxel-base phantoms with lung densities of 0.1, 0.2, and 0.3 g/cm, respectively. The dose distributions were calculated for partial-arc VMAT. The dose distributions were compared using dose differences, dose volume histograms, and dose volume indices.
Results: In all cases, the inline magnetic field significantly enhanced the lung tumor dose compared to that at 0 T. For the 1 cm lung tumor, the inline magnetic field of 1 T increased the minimum dose of 95% of the Planning target volume (PTV D) by 14.0% in 0.1 g/cm lung density as compared to that in 0.3 g/cm at 0 T. In contrast, at 0 and 0.5 T, the PTV D in 0.3 g/cm lung density was larger than that in lung density of 0.1 g/cm. For the 2 cm lung tumor, a similar tendency to 1 cm was observed, whereas the dose impact of lung density was smaller than that for 1 cm. For the 3 cm lung tumor, the lung tumor dose was independent of lung density at 0.5 T and 1.0 T.
Conclusion: The inline MR-Linac with the magnetic field over 1 T can enhance the PTV D for VMAT regardless of the lung density.
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http://dx.doi.org/10.1016/j.ejmp.2020.10.009 | DOI Listing |
PLoS One
September 2025
Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Background: The prevalence of Metabolic Syndrome (MetS) increases with aging, significantly contributing to the rising burden of non-communicable diseases (NCDs). This study aimed to investigate over-time changes in the prevalence of MetS and its components among the elderly population of Iran.
Methods: We analyzed data from the 2016 and 2021 national STEPwise approach to non-communicable disease risk factor Surveillance (STEPS) for participants aged ≥65 who completed all three survey steps (questionnaire-based assessments, physical measurements, and laboratory tests) with no missing data on MetS components.
Ann Acad Med Singap
August 2025
Division of Medical Oncology, National Cancer Centre Singapore, Singapore.
Introduction: Trastuzumab deruxtecan (T-DXd) has revolutionised treatment for metastatic breast cancer (MBC). While effective, its high cost and toxicities, such as fatigue and nausea, pose challenges.
Method: Medical records from the Joint Breast Cancer Registry in Singapore were used to study MBC patients treated with T-DXd (February 2021-June 2024).
Genome Biol
September 2025
Center for Genomic Medicine, Cardiovascular Research Center, , Massachusetts General Hospital Simches Research Center, 185 Cambridge Street, CPZN 5.238,, Boston, MA, 02114, USA.
Background: Rare genetic variation provided by whole genome sequence datasets has been relatively less explored for its contributions to human traits. Meta-analysis of sequencing data offers advantages by integrating larger sample sizes from diverse cohorts, thereby increasing the likelihood of discovering novel insights into complex traits. Furthermore, emerging methods in genome-wide rare variant association testing further improve power and interpretability.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan, Kunming, China.
Purpose: Bronchiolar adenoma (BA) is a rare benign pulmonary neoplasm originating from the bronchial mucosal epithelium and mimics lung adenocarcinoma (LAC) both radiographically and microscopically. This study aimed to develop a nomogram for distinguishing BA from LAC by integrating clinical characteristics and artificial intelligence (AI)-derived histogram parameters across two medical centers.
Methods: This retrospective study included 215 patients with diagnoses confirmed by postoperative pathology from two medical centers.
Mikrochim Acta
September 2025
The Third Affiliated Hospital of Anhui Medical University, The First People's Hospital of Hefei, Binhu Hospital of Hefei, Hefei, 230061, P. R. China.
Lung cancer, as one of the cancers with the highest morbidity and mortality rates in the world, requires accurate detection of its vital serum marker, neuron-specific enolase (NSE), which is a key challenge for early detection of lung cancer. However, traditional chemiluminescence immunoassay (CLIA) methods rely on labeled antibodies (Abs) and suffer from complex operations and high costs. In this work, a label-free CLIA based on CL-functionalized mesoporous magnetic nanoparticles (CuFeO@mSiO-Cys-Luminol-Au NPs) is developed for the rapid and sensitive detection of NSE.
View Article and Find Full Text PDF