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The Added Role of Diffusion-Weighted Magnetic Resonance Imaging in Staging Uterine Cervical Cancer.
Cureus
December 2024
Department of Radiology, University of Medicine and Pharmacy of Craiova, Craiova, ROU.
Background: Cervical cancer is considered one of the most common gynecological malignancies with an increased incidence in developing countries. Magnetic resonance imaging (MRI) plays a valuable role in staging cervical cancer and providing valuable information necessary for selecting the appropriate treatment plan, while closely correlating with the prognosis of the patient.
Objective: The aim of this study is to assess the diagnostic value of diffusion-weighted imaging (DWI) in the preoperative loco-regional staging of cervical carcinoma.
Immobile Integrin Signaling Transit and Relay Nodes Organize Mechanosignaling through Force-Dependent Phosphorylation in Focal Adhesions.
ACS Nano
January 2025
Mechanobiology Institute, National University of Singapore, Singapore 117411, Singapore.
Transmembrane signaling receptors, such as integrins, organize as nanoclusters that provide several advantages, including increasing avidity, sensitivity (increasing the signal-to-noise ratio), and robustness (signaling threshold) of the signal in contrast to signaling by single receptors. Furthermore, compared to large micron-sized clusters, nanoclusters offer the advantage of rapid turnover for the disassembly of the signal. However, whether nanoclusters function as signaling hubs remains poorly understood.
View Article and Find Full Text PDFHybrid quantum enhanced federated learning for cyber attack detection.
Sci Rep
December 2024
Department of Computer Science and Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, 611002, India.
Cyber-attack brings significant threat and become a critical issue in the digital world network security. The conventional procedures developed to detects are centralized and often struggles with concerns like data privacy and communication overheads. Due to this, conventional methods are unable to adapt quickly for different threats.
View Article and Find Full Text PDFMid-term follow-up results of neoadjuvant sintilimab combined with chemotherapy for locally advanced resectable esophageal squamous cell carcinoma.
Front Immunol
December 2024
Department of Thoracic Surgery, Jining No. 1 People's Hospital, Jining, Shandong, China.
Background: The study was conducted in order to investigate whether neoadjuvant immunotherapy combined with chemotherapy can bring survival benefits to patients with locally advanced resectable esophageal squamous cell carcinoma (ESCC) in the real world.
Methods: We retrospectively analysed patients with locally advanced resectable ESCC who underwent surgery at the Jining First People's Hospital from April 2020 to April 2022. Based on their medical history, the enrolled patients were divided into a neoadjuvant immunochemotherapy plus surgery group (nICT group) and a surgery-only group (S group).
Computer-assisted diagnosis for axillary lymph node metastasis of early breast cancer based on transformer with dual-modal adaptive mid-term fusion using ultrasound elastography.
Comput Med Imaging Graph
January 2025
Department of Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou 510060, PR China. Electronic address:
Accurate preoperative qualitative assessment of axillary lymph node metastasis (ALNM) in early breast cancer patients is crucial for precise clinical staging and selection of axillary treatment strategies. Although previous studies have introduced artificial intelligence (AI) to enhance the assessment performance of ALNM, they all focus on the prediction performances of their AI models and neglect the clinical assistance to the radiologists, which brings some issues to the clinical practice. To this end, we propose a human-AI collaboration strategy for ALNM diagnosis of early breast cancer, in which a novel deep learning framework, termed DAMF-former, is designed to assist radiologists in evaluating ALNM.
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