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http://dx.doi.org/10.1016/0020-7101(71)90013-4 | DOI Listing |
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.
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.
Int J Comput Assist Radiol Surg
January 2025
Faculty of Computer Science and Research Campus STIMULATE, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany.
Purpose: Structured abdominal examination is an essential part of the medical curriculum and surgical training, requiring a blend of theory and practice from trainees. Current training methods, however, often do not provide adequate engagement, fail to address individual learning needs or do not cover rare diseases.
Methods: In this work, an application for structured Abdominal Examination Training using Augmented Reality (AETAR) is presented.
BMC Med Educ
January 2025
Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Introduction: Ultrasound is important in heart diagnostics, yet implementing effective cardiac ultrasound requires training. While current strategies incorporate digital learning and ultrasound simulators, the effectiveness of these simulators for learning remains uncertain. This study evaluates the effectiveness of simulator-based versus human-based training in Focused Assessed with Transthoracic Echocardiography (FATE).
View Article and Find Full Text PDFBMC Med Educ
January 2025
University of Birmingham, Birmingham, United Kingdom.
Purpose: Free Open Access Medical Education (FOAMed) is an emergent phenomenon within medical education. The rise of FOAMed resources has meant that medical education needs no longer be confined to the lecture theatre or the hospital setting, but rather, can be produced and shared amongst any individual or group with access to internet and a suitable device. This study presents a review of the use of FOAMed resources by students as part of their university medical education.
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