Introduction/aim: Flexible fiberoptic bronchoscopy is generally the first line procedure for airway foreign body removal. However, removal may be challenging when surface and/or other characteristics make grasping the object difficult. We present a case in which we used a gastrointestinal retrieval net to successfully extract a dental crown, a type of foreign body with difficult-to-grasp surface characteristics.
Methods: A 72-year-old male aspirated a dental crown during an attempted molar crown fitting. Semi-emergent flexible fiberoptic bronchoscopy was undertaken using an Olympus bronchoscope with a 2.8mm working channel. Attempts at retrieval using standard forceps, and a four-wire airway retrieval basket were unsuccessful. The retrieval net (RescueNet, Boston Scientific) is a device used in gastrointestinal procedures to retrieve foreign objects, food boluses and tissue fragments. The device's external catheter is 2.5mm in diameter and is passed through the working channel of an endoscope. The handle operates in a similar manner to conventional biopsy forceps and deploys a one-sided fishnet mesh basket with an adjustable string collar that can be manipulated to enclose a target.
Results: The dental crown was easily removed with the retrieval net on the second attempt. Upon review of the literature, endobronchial usage of retrieval nets was found to be rare.
Conclusion: Clinicians should be aware that gastrointestinal retrieval nets are an option for the retrieval of airway foreign bodies.
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http://dx.doi.org/10.1016/j.rmcr.2021.101412 | DOI Listing |
Trends Cogn Sci
January 2025
Department of Psychology, Humboldt University Berlin, Berlin, Germany; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.
Creative problem solving and memory are inherently intertwined: memory accesses existing knowledge while creativity enhances it. Recent studies show that insights often accompanying creative solutions enhance long-term memory. This insight memory advantage (IMA) is explained by the 'insight as prediction error (PE)' hypothesis which states that insights arise from PEs updating predictive solution models and thereby enhancing memory.
View Article and Find Full Text PDFJ Mol Model
January 2025
Department of Biochemistry, Faculty of Basic Medical Science, Olabisi Onabanjo University, Sagamu Campus, Ago Iwoye, Ogun State, Nigeria.
Context: The medications for metabolic syndromes are very minimal and the available are not effective and show adverse effects. There is a huge need for the development of effective and safe drugs to battle metabolic syndromes. In this context, our study aimed to decipher the key molecules from Artocarpus communis seed hexane fraction and their possible mechanism of action against metabolic syndrome.
View Article and Find Full Text PDFOsteoporos Int
January 2025
Hospital del Mar Research Institute, Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Barcelona, Spain.
A 29-year-old Spanish Caucasian man, without relevant family history, was attended in our unit due to an undiagnosed skeletal dysplasia associated with low bone mass and several fragility fractures throughout his childhood and adolescence. DXA exams throughout his life showed very low BMD values; currently, his spinal and femoral neck T-scores were - 4.3 and - 3.
View Article and Find Full Text PDFReprod Biol Endocrinol
January 2025
Department of Reproductive Medicine Center, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, The People's Republic of China.
Objective: This study aimed to develop a predictive model for the risk of no usable blastocyst formation in patients with normal ovarian reserve undergoing IVF.
Methods: The model was derived from 7,901 patients who underwent their first oocyte retrieval and subsequent blastocyst culture, of which 446 cases have no usable blastocysts formed. Univariate regression analyses, least absolute shrinkage and selection operator regression analysis were used to identify the association of patient and cycle characteristics with the presence of no available blastocyst and to create a nomogram.
Heliyon
January 2025
Cancer Research Center, Institute of Cancer, Avicenna Health Research Institute, Hamadan University of Medical Sciences, Hamadan, Iran.
Objective: The purpose of the current study was to develop and validate a biomarker-based prediction model for metastasis in patients with colorectal cancer (CRC).
Methods: Two datasets, GSE68468 and GSE41568, were retrieved from the Gene Expression Omnibus (GEO) database. In the GSE68468 dataset, key biomarkers were identified through a screening process involving differential expression analysis, redundancy analysis, and recursive feature elimination technique.
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