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Propose: Proton therapy of esophageal cancer is beneficial to spare normal tissue in clinical practice. However, intra-fractional and inter-fractional variance of tumor motion during treatment may compromise target coverage. The purpose of this study was to investigate the interplay effect due to intra-fractional motion and the effect of the robust optimization parameters for inter-fractional motion in the intensity modulation proton therapy (IMPT).
Materials And Methods: This study retrospectively analyzed 42 patients with esophageal cancer treated at Shandong Cancer Hospital. The patients were divided into two groups. Twenty-one patients had a 4DCT image with 10 respiratory phases reconstructed (G). In addition, twenty-one patients underwent a second 3D CT scan following the initial one (G). The RayStation11B treatment planning system was used to create the IMPT plans for these two groups of patients. All patients were planned with a prescribed dose of 50.4 Gy (RBE) in 28 fractions for clinical target volume (CTV). 4D dynamic dose (4DDD) was then calculated to assess the interplay effect by considering respiratory motion and dynamic beam delivery for G. Seven IMPT plans with different robust optimization parameters were designed for the 21 G patient. The setup uncertainties were set to ± 0-6 mm for G. Plan quality and dose-volume histogram (DVH) parameters for the target and organs at risk (OARs) were then analyzed.
Results: For G, 4DDD was slightly perturbated compared to the nominal plan dose. The mean value of CTV D of nominal dose and 4DDD were 49.9 and 49.1 Gy (RBE), respectively, and the CTV D were 50.4 and 49.9 Gy (RBE), respectively. For G, the DVH parameters of the target area and the OARs showed a linear relationship with the corresponding robust optimization parameters in IMPT. When the robust optimization parameters were set with a larger value, the dose coverage of the target was improved. However, the dose of OARs increased at the same time. The D of the target for the seven plans (setup6, setup5, setup4, setup3, setup2, setup1, setup0 plan) were 49.42 ± 0.75, 48.95 ± 1.21, 48.54 ± 1.48, 47.55 ± 2.31, 47.07 ± 2.71, 44.58 ± 4.20 and 44.02 ± 4.44 Gy(RBE), respectively. The D of heart were 12.18 ± 3.05, 11.28 ± 2.86, 10.90 ± 2.77, 9.76 ± 2.39, 9.73 ± 2.39, 8.33 ± 2.22 and 8.22 ± 2.20 Gy (RBE), respectively.
Conclusion: In this study, the differences in dose distributions between the 4DDD and nominal plans for G can be attributed to the interplay effects. While target coverage remained stable, variations in OAR doses should be evaluated for G. For G, smaller setup uncertainty parameters may not fully mitigate inter-fractional tumor motion, leading to greater variation in target dose and potential inadequate coverage. The linear relationship between setup uncertainty and D suggested that improved setup uncertainties can enhance target coverage, while higher setup uncertainties tend to increase OARs doses, particularly to the heart and lungs.
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http://dx.doi.org/10.1186/s12885-025-14504-2 | DOI Listing |
Proc Natl Acad Sci U S A
September 2025
Department of Bioengineering, Stanford University, Stanford, CA 94305.
Despite periods of permanent darkness and extensive ice coverage in polar environments, photosynthetic ice diatoms display a remarkable capability of living inside the ice matrix. How these organisms navigate such hostile conditions with limited light and extreme cold remains unknown. Using a custom subzero temperature microscope during an Arctic expedition, we present the finding of motility at record-low temperatures in a Eukaryotic cell.
View Article and Find Full Text PDFJ Biomol NMR
September 2025
Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Biomolecular dynamics in the microsecond-to-millisecond (µs-ms) timescale are linked to various biological functions, such as enzyme catalysis, allosteric regulation, and ligand recognition. In solution state NMR, Carr-Purcell-Meiboom-Gill (CPMG) relaxation dispersion experiments are commonly used to probe µs-ms timescale motions, providing detailed kinetic, thermodynamic, and mechanistic information at the atomic level. For investigating conformational dynamics in high-molecular-weight biomolecules, methyl groups serve as ideal probes due to their favorable relaxation properties, and C CPMG relaxation dispersion is widely employed for characterizing dynamics in selectively CH-labeled samples.
View Article and Find Full Text PDFAbdom Radiol (NY)
September 2025
Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Objectives: The escalating global incidence of obesity, cardiometabolic disease and sarcopenia necessitates reliable body composition measurement tools. MRI-based assessment is the gold standard, with utility in both clinical and drug trial settings. This study aims to validate a new automated volumetric MRI method by comparing with manual ground truth, prior volumetric measurements, and against a new method for semi-automated single-slice area measurements.
View Article and Find Full Text PDFIntroduction: Effective triage in the emergency department (ED) is essential for optimizing resource allocation, improving efficiency, and enhancing patient outcomes. Conventional systems rely heavily on clinical judgment and standardized guidelines, which may be insufficient under growing patient volumes and increasingly complex presentations.
Methods: We developed a machine learning triage model, MIGWO-XGBOOST, which incorporates a Multi-strategy Improved Gray Wolf Optimization (MIGWO) algorithm for parameter tuning.
Epilepsia
September 2025
Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, Nebraska, USA.
The rate of sudden unexpected death in epilepsy (SUDEP) is ~1 per 1000 patients each year. Terminal events reportedly involve repeated and prolonged apnea, suggesting a failure to autoresuscitate. To better understand the mechanisms and identify novel therapeutics, standardized tests to screen for autoresuscitation efficacy are needed in preclinical SUDEP.
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