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The “Black Pattern”, a Simplified Ultrasound Approach to Non-Traumatic Abdominal Emergencies

Background: A key issue in abdominal US is the assessment of fluid, which is usually anechoic, thus appearing “black”. Our approach focuses on searching for fluid in non-traumatic patients, providing a new, simplified method for point-of-care US (POCUS). Objective: Fluid assessment is based on a thr...

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Autores principales: Tamburrini, Stefania, Consoli, Letizia, Garrone, Marco, Sfuncia, Giuseppe, Lugarà, Marina, Coppola, Maria Gabriella, Piccirillo, Miryam, Toto, Roberta, Stella, Salvatore Massimo, Sofia, Soccorsa, Scuderi, Mario, Catalano, Orlando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938823/
https://www.ncbi.nlm.nih.gov/pubmed/35314643
http://dx.doi.org/10.3390/tomography8020066
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author Tamburrini, Stefania
Consoli, Letizia
Garrone, Marco
Sfuncia, Giuseppe
Lugarà, Marina
Coppola, Maria Gabriella
Piccirillo, Miryam
Toto, Roberta
Stella, Salvatore Massimo
Sofia, Soccorsa
Scuderi, Mario
Catalano, Orlando
author_facet Tamburrini, Stefania
Consoli, Letizia
Garrone, Marco
Sfuncia, Giuseppe
Lugarà, Marina
Coppola, Maria Gabriella
Piccirillo, Miryam
Toto, Roberta
Stella, Salvatore Massimo
Sofia, Soccorsa
Scuderi, Mario
Catalano, Orlando
author_sort Tamburrini, Stefania
collection PubMed
description Background: A key issue in abdominal US is the assessment of fluid, which is usually anechoic, thus appearing “black”. Our approach focuses on searching for fluid in non-traumatic patients, providing a new, simplified method for point-of-care US (POCUS). Objective: Fluid assessment is based on a three-step analysis that we can thus summarize. 1. Look for black where it should not be. This means searching for effusions or collections. 2. Check if black is too much. This means evaluating anatomical landmarks where fluid should normally be present but may be abnormally abundant. 3. Look for black that is not clearly black. This means evaluating fluid aspects, whether wholly anechoic or not (suggesting heterogeneous or corpusculated fluid). Discussion: Using this simple method focused on US fluid presence and appearance should help clinicians to make a timely diagnosis. Although our simplified, systematic algorithm of POCUS may identify abnormalities; this usually entails a second-level imaging. An accurate knowledge of the physio–pathological and anatomical ultrasound bases remains essential in applying this algorithm. Conclusion: The black pattern approach in non -traumatic emergencies may be applied to a broad spectrum of abnormalities. It may represent a valuable aid for emergency physicians, especially if inexperienced, involved in a variety of non-traumatic scenarios. It may also be a simple and effective teaching aid for US beginners.
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spelling pubmed-89388232022-03-23 The “Black Pattern”, a Simplified Ultrasound Approach to Non-Traumatic Abdominal Emergencies Tamburrini, Stefania Consoli, Letizia Garrone, Marco Sfuncia, Giuseppe Lugarà, Marina Coppola, Maria Gabriella Piccirillo, Miryam Toto, Roberta Stella, Salvatore Massimo Sofia, Soccorsa Scuderi, Mario Catalano, Orlando Tomography Concept Paper Background: A key issue in abdominal US is the assessment of fluid, which is usually anechoic, thus appearing “black”. Our approach focuses on searching for fluid in non-traumatic patients, providing a new, simplified method for point-of-care US (POCUS). Objective: Fluid assessment is based on a three-step analysis that we can thus summarize. 1. Look for black where it should not be. This means searching for effusions or collections. 2. Check if black is too much. This means evaluating anatomical landmarks where fluid should normally be present but may be abnormally abundant. 3. Look for black that is not clearly black. This means evaluating fluid aspects, whether wholly anechoic or not (suggesting heterogeneous or corpusculated fluid). Discussion: Using this simple method focused on US fluid presence and appearance should help clinicians to make a timely diagnosis. Although our simplified, systematic algorithm of POCUS may identify abnormalities; this usually entails a second-level imaging. An accurate knowledge of the physio–pathological and anatomical ultrasound bases remains essential in applying this algorithm. Conclusion: The black pattern approach in non -traumatic emergencies may be applied to a broad spectrum of abnormalities. It may represent a valuable aid for emergency physicians, especially if inexperienced, involved in a variety of non-traumatic scenarios. It may also be a simple and effective teaching aid for US beginners. MDPI 2022-03-15 /pmc/articles/PMC8938823/ /pubmed/35314643 http://dx.doi.org/10.3390/tomography8020066 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Concept Paper
Tamburrini, Stefania
Consoli, Letizia
Garrone, Marco
Sfuncia, Giuseppe
Lugarà, Marina
Coppola, Maria Gabriella
Piccirillo, Miryam
Toto, Roberta
Stella, Salvatore Massimo
Sofia, Soccorsa
Scuderi, Mario
Catalano, Orlando
The “Black Pattern”, a Simplified Ultrasound Approach to Non-Traumatic Abdominal Emergencies
title The “Black Pattern”, a Simplified Ultrasound Approach to Non-Traumatic Abdominal Emergencies
title_full The “Black Pattern”, a Simplified Ultrasound Approach to Non-Traumatic Abdominal Emergencies
title_fullStr The “Black Pattern”, a Simplified Ultrasound Approach to Non-Traumatic Abdominal Emergencies
title_full_unstemmed The “Black Pattern”, a Simplified Ultrasound Approach to Non-Traumatic Abdominal Emergencies
title_short The “Black Pattern”, a Simplified Ultrasound Approach to Non-Traumatic Abdominal Emergencies
title_sort “black pattern”, a simplified ultrasound approach to non-traumatic abdominal emergencies
topic Concept Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938823/
https://www.ncbi.nlm.nih.gov/pubmed/35314643
http://dx.doi.org/10.3390/tomography8020066
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