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Utilising bioinformatics and systems biology methods to uncover the impact of dermatomyositis on interstitial lung disease.
Clin Exp Rheumatol
January 2025
Department of Oncology and Vascular Interventional Radiology, Zhongshan Hospital Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Objectives: Dermatomyositis (DM) is frequently associated with interstitial lung disease (ILD); however, the molecular mechanisms underlying this association remain unclear. This study aimed to employ bioinformatics approaches to identify potential molecular mechanisms linking DM and ILD.
Methods: GSE46239 and GSE47162 were analysed to identify common differentially expressed genes (DEGs).
Background: Pediatric ultrasound (US)-guided percutaneous liver biopsy is a commonly performed procedure in children, and may be performed in a variety of clinical settings. However, there is little research on the relative costs associated with different sedation methods and locations.
Objective: This study uses time-driven activity-based costing (TDABC) to identify relevant costs associated with different biopsy sedation techniques and locations to help inform providers and patients as well as guide value-conscious care.
Pancreaticopleural Fistula with Bilateral Pleural Effusion due to Chronic Calcific Pancreatitis.
Indian J Pediatr
January 2025
Department of Pediatrics, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India.
CT Predictors of Angiolymphatic Invasion in Non-Small Cell Lung Cancer 30 mm or Smaller.
Radiology
January 2025
From the Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China (Q.S., P.L., J.Z.); and Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029 (Q.S., P.L., R.Y., D.F.Y., C.I.H.).
Background Angiolymphatic invasion (ALI) is an important prognostic indicator in non-small cell lung cancer (NSCLC). However, few studies focus on radiologic features for predicting ALI in patients with early-stage NSCLCs 30 mm or smaller. Purpose To identify radiologic features for predicting ALI in NSCLCs 30 mm or smaller in maximum diameter.
View Article and Find Full Text PDFPrivacy-ensuring Open-weights Large Language Models Are Competitive with Closed-weights GPT-4o in Extracting Chest Radiography Findings from Free-Text Reports.
Radiology
January 2025
From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
Background Large-scale secondary use of clinical databases requires automated tools for retrospective extraction of structured content from free-text radiology reports. Purpose To share data and insights on the application of privacy-preserving open-weights large language models (LLMs) for reporting content extraction with comparison to standard rule-based systems and the closed-weights LLMs from OpenAI. Materials and Methods In this retrospective exploratory study conducted between May 2024 and September 2024, zero-shot prompting of 17 open-weights LLMs was preformed.
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