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The cytokinesis-block micronucleus (CBMN) assay in cytogenetic biodosimetry uses micronucleus (MN) frequency scored in binucleated cells (BNCs) to estimate ionizing radiation dose exposed. Despite the faster and simpler MN scoring, CBMN assay is not commonly recommended in radiation mass-casualty triage as human peripheral blood is typically cultured for 72 h. Furthermore, CBMN assay evaluation in triage often uses high-throughput scoring with expensive and specialized equipment. In this study, we evaluated the feasibility of a low-cost method of manual MN scoring on Giemsa-stained slides in shortened 48 h cultures for triage. Both whole blood and human peripheral blood mononuclear cell cultures were compared for different culture periods and Cyt-B treatment [48 h (24 h at Cyt-B); 72 h (24 h at Cyt-B); 72 h (44 h at Cyt-B)]. Three donors (26-year-old female, 25-year-old male, 29-year-old male) were used for dose-response curve construction with radiation-induced MN/BNC. Another 3 donors (23-year-old female, 34-year-old male, 51-year-old male) were used for triage and conventional dose estimation comparison after 0, 2 and 4 Gy X-ray exposure. Our results showed that despite lower percentage of BNC in 48 h than 72 h cultures, sufficient BNCs were obtained for MN scoring. Triage dose estimates of 48 h cultures were obtained in 8 min in non-exposed donors, and 20 min in 2 or 4 Gy exposed donors with manual MN scoring. One hundred BNCs could be scored for high doses instead of 200 BNCs for triage. Furthermore, observed triage MN distribution could be preliminarily used to differentiate 2 and 4 Gy samples. The number of BNCs scored (triage or conventional) also did not affect dose estimation. Dose estimates in 48 h cultures were also mostly within ±0.5 Gy of actual doses, thus showing the feasibility of manual MN scoring in the shortened CBMN assay for radiological triage applications.
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http://dx.doi.org/10.1667/RADE-22-00191.1 | DOI Listing |
JAMIA Open
October 2025
Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA, United States.
Objectives: Unstructured data, such as procedure notes, contain valuable medical information that is frequently underutilized due to the labor-intensive nature of data extraction. This study aims to develop a generative artificial intelligence (GenAI) pipeline using an open-source Large Language Model (LLM) with built-in guardrails and a retry mechanism to extract data from unstructured right heart catheterization (RHC) notes while minimizing errors, including hallucinations.
Materials And Methods: A total of 220 RHC notes were randomly selected for pipeline development and 200 for validation from the Pulmonary Vascular Disease Registry.
Orthop J Sports Med
September 2025
The Jameson Crane Sports Medicine Institute at The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Background: Lateral meniscal oblique radial tears (LMORTs) of the posterior horn typically occur in the setting of an acute anterior cruciate ligament (ACL) rupture. Despite publications pertaining to the prevalence, biomechanics, and surgical repair techniques of LMORTs, studies reporting mid-term outcomes after LMORT repair are lacking.
Purpose: To examine both clinical and functional outcomes after the surgical repair of LMORTs.
J Magn Reson Imaging
September 2025
Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, Texas, USA.
Background: Cerebrovascular reactivity reflects changes in cerebral blood flow in response to an acute stimulus and is reflective of the brain's ability to match blood flow to demand. Functional MRI with a breath-hold task can be used to elicit this vasoactive response, but data validity hinges on subject compliance. Determining breath-hold compliance often requires external monitoring equipment.
View Article and Find Full Text PDFJ Magn Reson Imaging
September 2025
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Background: Automated cardiac MR segmentation enables accurate and reproducible ventricular function assessment in Tetralogy of Fallot (ToF), whereas manual segmentation remains time-consuming and variable.
Purpose: To evaluate the deep learning (DL)-based models for automatic left ventricle (LV), right ventricle (RV), and LV myocardium segmentation in ToF, compared with manual reference standard annotations.
Study Type: Retrospective.
Pain Manag Nurs
September 2025
Public Health Department, Nursing Science, University of Basel, Basel, Switzerland; Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, KU Leuven, Leuven, Belgium. Electronic address:
Purpose: Measuring pain in various settings, such as hospitals or long-term care facilities, is commonly done through the use of numerical pain assessment scales, e.g. the Numeric Rating Scale.
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