Results 181 to 190 of about 534,367 (396)
This study aimed to investigate survival outcomes, the efficacy of lymph node (LN) dissection, and recurrence patterns in 69 patients who underwent R0 salvage surgery for esophageal squamous cell carcinoma. Of note, abdominal LN metastases had a negative impact on survival in our series.
Kotaro Sugawara+9 more
wiley +1 more source
Docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), long-chain n-3 PUFAs important for brain and heart function, can be obtained from dietary fish products or by liver synthesis from α-linolenic acid (α-LNA).
Fei Gao+6 more
doaj
Functional brain imaging : a brief overview of imaging techniques and their use in human and canine anxiety research [PDF]
When used in combination with specific radioactive markers, functional imaging modalities such as Single Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) enable the visualization of several neurotransmitter receptors and
Audenaert, Kurt+6 more
core
I. The Role of Physics in Positron Emission Tomography and Single-Photon Emission Computed Tomography Image Processing [PDF]
Edward J. Hoffman, John A. Correia
openalex +1 more source
Cell Membrane‐Coated Lipid Nanoparticles for Drug Delivery
This review highlights recent progress in cell membrane‐coated lipid nanoparticles (CMC‐LNPs), focusing on their design, preparation methods, functional integration, and biomedical applications. It discusses various types of LNPs and coating strategies, characterization techniques, therapeutic functions, and applications.
Moataz B. Zewail+5 more
wiley +1 more source
Abstract Background A methodology to assess the immune microenvironment (IME) of non‐small cell lung cancer (NSCLC) has not been established, and the prognostic impact of IME factors is not yet clear. Aims This study aimed to assess the IME factors and evaluate their prognostic values. Methods and Results We assessed CD8+ tumor‐infiltrating lymphocyte (
Yukihiro Terada+16 more
wiley +1 more source
Positron Emission Tomography and Its Role in Metabolic Imaging [PDF]
Michael M. Graham, T.K. Lewellen
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Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone+11 more
wiley +1 more source
Concerning Strategies for in vivo Measurement of Receptor Binding Using Positron Emission Tomography. II [PDF]
Barry R. Zeebèrg+2 more
openalex +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni+11 more
wiley +1 more source