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Multigenerational effects of individual and binary mixtures of two commonly used NSAIDs on Daphnia carinata.
Ecotoxicology
January 2025
Ecotoxicology Research group, School of Science, RMIT University, Melbourne, VIC, Australia.
Pharmaceuticals, including non-steroidal anti-inflammatory drugs (NSAIDs) like ibuprofen (IBU) and naproxen (NPX), are widely used for medical purposes but have also become prevalent environmental contaminants. However, there is limited understanding of their effects on aquatic organisms, especially regarding multigenerational and mixture exposures. This study aimed to evaluate the toxicological impacts of ibuprofen and naproxen, individually and in combination, on three generations of Daphnia carinata, a freshwater organism.
View Article and Find Full Text PDFInflammatory markers predict efficacy of immunotherapy in advanced non-small cell lung cancer: a preliminary exploratory study.
Discov Oncol
January 2025
Department of Respiratory Medicine, The First Hospital of Jiaxing (Affiliated Hospital of Jiaxing University), 1882 South Zhonghuan Road, Jiaxing, 314000, Zhejiang, China.
Objective: The purpose of this study is to analyze the predictive value of neutrophil to lymphocyte ratio (NLR), lymphocyte count to monocyte count ratio (LMR), platelet to lymphocyte ratio (PLR), platelet count multiplied by neutrophil count to lymphocyte count ratio (SII), red blood cell distribution width (RDW), packed cell volume (PCV), and plateletcrit (PCT) levels in advanced non-small cell lung cancer (NSCLC) patients treated with PD-1/PD-L1 inhibitors.
Materials And Methods: From March 2019 to August 2023, we screened 104 of 153 patients with stage III unresectable local advanced NSCLC and IV NSCLC who received PD-1/PD-L1 inhibitor therapy at our hospital and met the inclusion and exclusion criteria for analysis. All patients were collected for clinical information, including baseline blood indicator (NLR, PLR, LMR, SII, CRP, RDW, PCV and PCT) levels before PD-1/PD-L1 inhibitor therapy and blood indicator levels and imaging evaluation results every two cycles after PD-1/PD-L1 inhibitor therapy.
Lymph-node ratio as a risk factor for recurrence following neoadjuvant docetaxel, cisplatin, and 5-fluorouracil therapy for locally advanced esophageal squamous cell carcinoma.
Esophagus
January 2025
Department of Gastroenterological Chemotherapy, Japanese Foundation for Cancer Research, Cancer Institute Hospital, 3-8-31 Ariake, Koto-Ku, Tokyo, 135-8550, Japan.
Background And Purpose: It remains unclear whether the lymph-node ratio (LNR) is a relevant factor for the risk of recurrence following neoadjuvant chemotherapy (nCT) with docetaxel, cisplatin, and 5-fluorouracil (DCF), which is a new standard of care for locally advanced esophageal squamous cell carcinoma (ESCC) in Japan. This study aimed to evaluate the clinical utility of LNR as a risk factor for recurrence.
Materials And Methods: We retrospectively analyzed 75 patients who underwent nCT-DCF followed by curative surgery for resectable ESCC.
3D CT to 2D X-ray image registration for improved visualization of tibial vessels in endovascular procedures.
Int J Comput Assist Radiol Surg
January 2025
Department of Medical Biophysics, University of Toronto, Toronto, Canada.
Purpose: During endovascular revascularization interventions for peripheral arterial disease, the standard modality of X-ray fluoroscopy (XRF) used for image guidance is limited in visualizing distal segments of infrapopliteal vessels. To enhance visualization of arteries, an image registration technique was developed to align pre-acquired computed tomography (CT) angiography images and to create fusion images highlighting arteries of interest.
Methods: X-ray image metadata capturing the position of the X-ray gantry initializes a multiscale iterative optimization process, which uses a local-variance masked normalized cross-correlation loss to rigidly align a digitally reconstructed radiograph (DRR) of the CT dataset with the target X-ray, using the edges of the fibula and tibia as the basis for alignment.
Machine learning-based interpretation of non-contrast feature tracking strain analysis and T1/T2 mapping for assessing myocardial viability.
Sci Rep
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
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