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Peptide-based PET/CT imaging visualizes PD-L1-driven radioresistance in glioblastoma.
Drug Resist Updat
January 2025
Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China. Electronic address:
Radioresistance remains a great challenge for radiotherapy in the treatment of glioblastoma (GBM). PD-L1 expression is a key contributor to radioresistance and immune escape in GBM. The lack of effective methods to monitor the change of PD-L1 during radiotherapy in patients limits timely intervention and management of the resistance.
View Article and Find Full Text PDFEfficient and accurate commissioning and quality assurance of radiosurgery beam via prior-embedded implicit neural representation learning.
Med Phys
January 2025
Department of Radiation Oncology, Stanford University, Palo Alto, California, USA.
Background: Dosimetric commissioning and quality assurance (QA) for linear accelerators (LINACs) present a significant challenge for clinical physicists due to the high measurement workload and stringent precision standards. This challenge is exacerbated for radiosurgery LINACs because of increased measurement uncertainty and more demanding setup accuracy for small-field beams. Optimizing physicists' effort during beam measurements while ensuring the quality of the measured data is crucial for clinical efficiency and patient safety.
View Article and Find Full Text PDFMetastatic Lung Lesion Changes in Follow-up Chest CT: The Advantage of Deep Learning Simultaneous Analysis of Prior and Current Scans With SimU-Net.
J Thorac Imaging
September 2024
School of Computer Science and Engineering, The Hebrew University of Jerusalem.
Purpose: Radiological follow-up of oncology patients requires the detection of metastatic lung lesions and the quantitative analysis of their changes in longitudinal imaging studies. Our aim was to evaluate SimU-Net, a novel deep learning method for the automatic analysis of metastatic lung lesions and their temporal changes in pairs of chest CT scans.
Materials And Methods: SimU-Net is a simultaneous multichannel 3D U-Net model trained on pairs of registered prior and current scans of a patient.
Mind the leaf anatomy while taking ground truth with portable chlorophyll meters.
Sci Rep
January 2025
Department of Plant Experimental Biology, Faculty of Science, Charles University, Viničná 5, 12800, Prague, Czech Republic.
A wide range of portable chlorophyll meters are increasingly being used to measure leaf chlorophyll content as an indicator of plant performance, providing reference data for remote sensing studies. We tested the effect of leaf anatomy on the relationship between optical assessments of chlorophyll (Chl) against biochemically determined Chl content as a reference. Optical Chl assessments included measurements taken by four chlorophyll meters: three transmittance-based (SPAD-502, Dualex-4 Scientific, and MultispeQ 2.
View Article and Find Full Text PDFHow can consumer science help the foodservice industry replace meat? A critical review.
Appetite
January 2025
Örebro University, School of Hospitality and Meal Science.
In the pursuit of more sustainable diets, researchers have been studying ways to promote a transition from animal- to plant-based meals in foodservice contexts by influencing participants' conscious choices through names, labels, claims, and information. This critical review found that these interventions usually mobilize only those already engaged in reducing the consumption of animal products and often only during the intervention period, failing to influence those who eat most meat or to create long-lasting effects. Analyzing the choice for vegetarian meals against meals with meat in recently published studies conducted in foodservice contexts, we argue that the transition to more sustainable diets should rely less on consumers' willpower and more on public policies and institutional measures that change the availability, price, and visibility of plant-based meals.
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