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http://dx.doi.org/10.1038/ncpcardio0936 | DOI Listing |
Curr Cardiol Rep
January 2025
Division of Cardiology, McGill University Health Centre, 845 Rue Sherbrooke O, Montreal, QC, H3H 0G4, Canada.
Purpose Of Review: This review aims to evaluate current diagnostic and therapeutic strategies for postpericardiotomy syndrome (PPS), with a focus on the evolving role of multimodality imaging, including echocardiography, cardiac computed tomography (CCT), and cardiac magnetic resonance imaging (CMR). The review also explores the potential benefits of advanced imaging in improving the accuracy and management of PPS.
Recent Findings: PPS, a common complication following cardiac surgery, presents with pleuritic chest pain, fever, and pericardial or pleural effusion.
Biomed Tech (Berl)
January 2025
Department of Computer Science, 72937 Centre for Machine Learning and Intelligence (CMLI), Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.
Objectives: Diabetic retinopathy (DR) is associated with long-term diabetes and is a leading cause of blindness if it is not diagnosed early. The rapid growth of deep learning eases the clinicians' DR diagnosing procedure. It automatically extracts the features and performs the grading.
View Article and Find Full Text PDFEur J Haematol
January 2025
Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel.
Background: Bone marrow examination (BME) is the gold standard of diagnosing myelodysplastic syndromes (MDS).
Problems: it is invasive, painful, causing possible bleeding, inaccurate (aspirate hemodilution), and subjective (inter-observer interpretation discordance). We developed non-invasive diagnostic tools: A logistic regression formula [LeukRes 2018], then a web algorithm using 10 variables (age, gender, Hb, MCV, WBC, ANC, monocytes, PLT, glucose, creatinine) to diagnose/exclude MDS [BldAdv 2021].
World J Surg Oncol
January 2025
Summit Medical Group, Bend, OR, USA.
Background: National Comprehensive Cancer Network guidelines recommend sentinel lymph node biopsy (SLNB) for patients with > 10% risk of positivity, consider SLNB with 5-10% risk, and foregoing with < 5% risk. The integrated 31-gene expression profile (i31-GEP) algorithm combines the 31-GEP with clinicopathologic variables, estimating SLN positivity risk.
Methods: The i31-GEP SLNB risk prediction accuracy was assessed in patients with T1-T2 tumors enrolled in the prospective, multicenter DECIDE study (n = 322).
BMC Cancer
January 2025
Department of General Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Peking, Beijing, 100023, People's Republic of China.
Background: Pancreatic cancer is a highly aggressive neoplasm characterized by poor diagnosis. Amino acids play a prominent role in the occurrence and progression of pancreatic cancer as essential building blocks for protein synthesis and key regulators of cellular metabolism. Understanding the interplay between pancreatic cancer and amino acid metabolism offers potential avenues for improving patient clinical outcomes.
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