Bedside wireless lung ultrasound for the evaluation of COVID-19 lung injury in senior nursing home residents.
Identifieur interne : 000901 ( Main/Exploration ); précédent : 000900; suivant : 000902Bedside wireless lung ultrasound for the evaluation of COVID-19 lung injury in senior nursing home residents.
Auteurs : Frank Lloyd Dini [Oman] ; Carlo Bergamini [Oman] ; Aldo Allegrini [Italie] ; Massimo Scopelliti [Oman] ; Gianmarco Secco [Oman] ; Mario Miccoli [Italie] ; Stefano Boni [Italie] ; Raffaella Brigada [Italie] ; Stefano Perlini [Italie]Source :
- Monaldi archives for chest disease = Archivio Monaldi per le malattie del torace [ 1122-0643 ] ; 2020.
Descripteurs français
- KwdFr :
- Analyse sur le lieu d'intervention (MeSH), Betacoronavirus (isolement et purification), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (diagnostic), Infections à coronavirus (physiopathologie), Infections à coronavirus (épidémiologie), Italie (épidémiologie), Lésion pulmonaire (imagerie diagnostique), Maisons de repos (statistiques et données numériques), Maisons de retraite médicalisées (statistiques et données numériques), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (diagnostic), Pneumopathie virale (physiopathologie), Pneumopathie virale (épidémiologie), Pneumopathie virale (étiologie), Sensibilité et spécificité (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Technologie sans fil (MeSH), Valeur prédictive des tests (MeSH), Échographie (instrumentation), Échographie (méthodes).
- MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- imagerie diagnostique : Lésion pulmonaire.
- isolement et purification : Betacoronavirus.
- méthodes : Échographie.
- physiopathologie : Infections à coronavirus, Pneumopathie virale.
- statistiques et données numériques : Maisons de repos, Maisons de retraite médicalisées.
- épidémiologie : Infections à coronavirus, Italie, Pneumopathie virale, Échographie.
- étiologie : Pneumopathie virale.
- Analyse sur le lieu d'intervention, Femelle, Humains, Mâle, Pandémies, Sensibilité et spécificité, Sujet âgé de 80 ans ou plus, Technologie sans fil, Valeur prédictive des tests.
- Wicri :
- geographic : Italie.
English descriptors
- KwdEn :
- Aged, 80 and over (MeSH), Betacoronavirus (isolation & purification), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Coronavirus Infections (physiopathology), Female (MeSH), Homes for the Aged (statistics & numerical data), Humans (MeSH), Italy (epidemiology), Lung Injury (diagnostic imaging), Male (MeSH), Nursing Homes (statistics & numerical data), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Pneumonia, Viral (epidemiology), Pneumonia, Viral (etiology), Pneumonia, Viral (physiopathology), Point-of-Care Testing (MeSH), Predictive Value of Tests (MeSH), Sensitivity and Specificity (MeSH), Ultrasonography (instrumentation), Ultrasonography (methods), Wireless Technology (MeSH).
- MESH :
- geographic , epidemiology : Italy.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- diagnostic imaging : Lung Injury.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- etiology : Pneumonia, Viral.
- instrumentation : Ultrasonography.
- isolation & purification : Betacoronavirus.
- methods : Ultrasonography.
- physiopathology : Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Homes for the Aged, Nursing Homes.
- Aged, 80 and over, Female, Humans, Male, Pandemics, Point-of-Care Testing, Predictive Value of Tests, Sensitivity and Specificity, Wireless Technology.
Abstract
Lung Ultrasound (LUS) is regarded to be potentially useful to diagnose lung injury in older adults living in nursing homes with suspected COVID-19 pneumonia. We aimed at evaluating presence lung injury among senior nursing home residents by LUS performed with portable wireless scanner echography. The study population consisted of 150 residents with a mean age of 88 years (85% female) residing in 12 nursing homes in Northern Italy. Subjects had to have a history of recent onset of symptoms compatible with COVID-19 pneumonia or have been exposed to the contagion of patients carrying the disease. COVID-19 testing was performed with SARS-CoV-2 nasal-pharyngeal (NP) swabs. Positive subjects to LUS scanning were considered those with non-coascelent B-lines in >3 zones, coalescent B-lines in >3 zones and with iperdensed patchy non-consolidated lungs. Sixty-three percent had positive NP testing and 65% had LUS signs of pulmonary injury. LUS had a sensitivity of 79% in predicting positive NP testing. Sixteen percent of residents tested negative for SARSCoV-2 carried the signs of COVID-19 lung injury at LUS. There were 92 patients (61%) with current or recent symptoms.Positivity to LUS scanning was reported in 73% of residents with symptoms, while it was 53% in those without (P=0.016). A positive NP testing was observed in 66% of residents with symptoms and in 57% of those without (P=0.27). We conclude that assessment of LUS by portable wireless scanner echography can be profitability utilized to diagnose lung injury among senior nursing home residents with or without symptoms compatible with COVID-19 pneumonia.
DOI: 10.4081/monaldi.2020.1446
PubMed: 32875776
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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uniqKey="Allegrini A" first="Aldo" last="Allegrini">Aldo Allegrini</name><affiliation wicri:level="1"><nlm:affiliation>Medical Workforce, Department of Homeland Security. allegrini.aldo@alice.it.</nlm:affiliation><country wicri:rule="url">Italie</country></affiliation></author><author><name sortKey="Scopelliti, Massimo" sort="Scopelliti, Massimo" uniqKey="Scopelliti M" first="Massimo" last="Scopelliti">Massimo Scopelliti</name><affiliation wicri:level="1"><nlm:affiliation>Medical Workforce, Department of Homeland Security. m.scopp66@gmail.com.</nlm:affiliation><country wicri:rule="url">Oman</country></affiliation></author><author><name sortKey="Secco, Gianmarco" sort="Secco, Gianmarco" uniqKey="Secco G" first="Gianmarco" last="Secco">Gianmarco Secco</name><affiliation wicri:level="1"><nlm:affiliation>Emergency Department, Fondazione IRCCS Policlinico San Matteo, Pavia. secco.gianmarco@gmail.com.</nlm:affiliation><country wicri:rule="url">Oman</country></affiliation></author><author><name sortKey="Miccoli, Mario" sort="Miccoli, Mario" uniqKey="Miccoli M" first="Mario" last="Miccoli">Mario Miccoli</name><affiliation wicri:level="4"><nlm:affiliation>Department of Clinical and Experimental Medicine, University of Pisa. mario.miccoli@unipi.it.</nlm:affiliation><country>Italie</country><placeName><settlement type="city">Pise</settlement><region type="region" nuts="2">Toscane</region></placeName><orgName type="university">Université de Pise</orgName></affiliation></author><author><name sortKey="Boni, Stefano" sort="Boni, Stefano" uniqKey="Boni S" first="Stefano" last="Boni">Stefano Boni</name><affiliation wicri:level="1"><nlm:affiliation>Azienda per la Tutela della Salute, Pavia. stefano_boni@ats-pavia.it.</nlm:affiliation><country wicri:rule="url">Italie</country></affiliation></author><author><name sortKey="Brigada, Raffaella" sort="Brigada, Raffaella" uniqKey="Brigada R" first="Raffaella" last="Brigada">Raffaella Brigada</name><affiliation wicri:level="1"><nlm:affiliation>Azienda per la Tutela della Salute, Pavia. raffaella_brigada@ats-pavia.it.</nlm:affiliation><country wicri:rule="url">Italie</country></affiliation></author><author><name sortKey="Perlini, Stefano" sort="Perlini, Stefano" uniqKey="Perlini S" first="Stefano" last="Perlini">Stefano Perlini</name><affiliation wicri:level="1"><nlm:affiliation>Emergency Department, Fondazione IRCCS Policlinico San Matteo, Pavia. stefano.perlini@unipv.it.</nlm:affiliation><country wicri:rule="url">Italie</country></affiliation></author></analytic><series><title level="j">Monaldi archives for chest disease = Archivio Monaldi per le malattie del torace</title><idno type="ISSN">1122-0643</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged, 80 and over (MeSH)</term><term>Betacoronavirus (isolation & purification)</term><term>Coronavirus Infections (diagnosis)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (physiopathology)</term><term>Female (MeSH)</term><term>Homes for the Aged (statistics & numerical data)</term><term>Humans (MeSH)</term><term>Italy (epidemiology)</term><term>Lung Injury (diagnostic imaging)</term><term>Male (MeSH)</term><term>Nursing Homes (statistics & numerical data)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (diagnosis)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (etiology)</term><term>Pneumonia, Viral (physiopathology)</term><term>Point-of-Care Testing (MeSH)</term><term>Predictive Value of Tests (MeSH)</term><term>Sensitivity and Specificity (MeSH)</term><term>Ultrasonography (instrumentation)</term><term>Ultrasonography (methods)</term><term>Wireless Technology (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse sur le lieu d'intervention (MeSH)</term><term>Betacoronavirus (isolement et purification)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Infections à coronavirus (diagnostic)</term><term>Infections à coronavirus (physiopathologie)</term><term>Infections à coronavirus (épidémiologie)</term><term>Italie (épidémiologie)</term><term>Lésion pulmonaire (imagerie diagnostique)</term><term>Maisons de repos (statistiques et données numériques)</term><term>Maisons de retraite médicalisées (statistiques et données numériques)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (diagnostic)</term><term>Pneumopathie virale (physiopathologie)</term><term>Pneumopathie virale (épidémiologie)</term><term>Pneumopathie virale (étiologie)</term><term>Sensibilité et spécificité (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Technologie sans fil (MeSH)</term><term>Valeur prédictive des tests (MeSH)</term><term>Échographie (instrumentation)</term><term>Échographie (méthodes)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Italy</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Lung Injury</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Lésion pulmonaire</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Ultrasonography</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Betacoronavirus</term></keywords><keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Betacoronavirus</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Ultrasonography</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Échographie</term></keywords><keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Homes for the Aged</term><term>Nursing Homes</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Maisons de repos</term><term>Maisons de retraite médicalisées</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Italie</term><term>Pneumopathie virale</term><term>Échographie</term></keywords><keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged, 80 and over</term><term>Female</term><term>Humans</term><term>Male</term><term>Pandemics</term><term>Point-of-Care Testing</term><term>Predictive Value of Tests</term><term>Sensitivity and Specificity</term><term>Wireless Technology</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse sur le lieu d'intervention</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Pandémies</term><term>Sensibilité et spécificité</term><term>Sujet âgé de 80 ans ou plus</term><term>Technologie sans fil</term><term>Valeur prédictive des tests</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Italie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Lung Ultrasound (LUS) is regarded to be potentially useful to diagnose lung injury in older adults living in nursing homes with suspected COVID-19 pneumonia. We aimed at evaluating presence lung injury among senior nursing home residents by LUS performed with portable wireless scanner echography. The study population consisted of 150 residents with a mean age of 88 years (85% female) residing in 12 nursing homes in Northern Italy. Subjects had to have a history of recent onset of symptoms compatible with COVID-19 pneumonia or have been exposed to the contagion of patients carrying the disease. COVID-19 testing was performed with SARS-CoV-2 nasal-pharyngeal (NP) swabs. Positive subjects to LUS scanning were considered those with non-coascelent B-lines in >3 zones, coalescent B-lines in >3 zones and with iperdensed patchy non-consolidated lungs. Sixty-three percent had positive NP testing and 65% had LUS signs of pulmonary injury. LUS had a sensitivity of 79% in predicting positive NP testing. Sixteen percent of residents tested negative for SARSCoV-2 carried the signs of COVID-19 lung injury at LUS. There were 92 patients (61%) with current or recent symptoms.Positivity to LUS scanning was reported in 73% of residents with symptoms, while it was 53% in those without (P=0.016). A positive NP testing was observed in 66% of residents with symptoms and in 57% of those without (P=0.27). We conclude that assessment of LUS by portable wireless scanner echography can be profitability utilized to diagnose lung injury among senior nursing home residents with or without symptoms compatible with COVID-19 pneumonia.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32875776</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>08</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>08</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Print">1122-0643</ISSN><JournalIssue CitedMedium="Internet"><Volume>90</Volume><Issue>3</Issue><PubDate><Year>2020</Year><Month>Sep</Month><Day>02</Day></PubDate></JournalIssue><Title>Monaldi archives for chest disease = Archivio Monaldi per le malattie del torace</Title><ISOAbbreviation>Monaldi Arch Chest Dis</ISOAbbreviation></Journal><ArticleTitle>Bedside wireless lung ultrasound for the evaluation of COVID-19 lung injury in senior nursing home residents.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.4081/monaldi.2020.1446</ELocationID><Abstract><AbstractText>Lung Ultrasound (LUS) is regarded to be potentially useful to diagnose lung injury in older adults living in nursing homes with suspected COVID-19 pneumonia. We aimed at evaluating presence lung injury among senior nursing home residents by LUS performed with portable wireless scanner echography. The study population consisted of 150 residents with a mean age of 88 years (85% female) residing in 12 nursing homes in Northern Italy. Subjects had to have a history of recent onset of symptoms compatible with COVID-19 pneumonia or have been exposed to the contagion of patients carrying the disease. COVID-19 testing was performed with SARS-CoV-2 nasal-pharyngeal (NP) swabs. Positive subjects to LUS scanning were considered those with non-coascelent B-lines in >3 zones, coalescent B-lines in >3 zones and with iperdensed patchy non-consolidated lungs. Sixty-three percent had positive NP testing and 65% had LUS signs of pulmonary injury. LUS had a sensitivity of 79% in predicting positive NP testing. Sixteen percent of residents tested negative for SARSCoV-2 carried the signs of COVID-19 lung injury at LUS. There were 92 patients (61%) with current or recent symptoms.Positivity to LUS scanning was reported in 73% of residents with symptoms, while it was 53% in those without (P=0.016). A positive NP testing was observed in 66% of residents with symptoms and in 57% of those without (P=0.27). We conclude that assessment of LUS by portable wireless scanner echography can be profitability utilized to diagnose lung injury among senior nursing home residents with or without symptoms compatible with COVID-19 pneumonia.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Dini</LastName><ForeName>Frank Lloyd</ForeName><Initials>FL</Initials><AffiliationInfo><Affiliation>Medical Workforce, Department of Homeland Security. franklloyddini@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bergamini</LastName><ForeName>Carlo</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Medical Workforce, Department of Homeland Security. drcarlobergamini@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Allegrini</LastName><ForeName>Aldo</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Medical Workforce, Department of Homeland Security. allegrini.aldo@alice.it.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Scopelliti</LastName><ForeName>Massimo</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Medical Workforce, Department of Homeland Security. m.scopp66@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Secco</LastName><ForeName>Gianmarco</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Emergency Department, Fondazione IRCCS Policlinico San Matteo, Pavia. secco.gianmarco@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Miccoli</LastName><ForeName>Mario</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Clinical and Experimental Medicine, University of Pisa. mario.miccoli@unipi.it.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Boni</LastName><ForeName>Stefano</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Azienda per la Tutela della Salute, Pavia. stefano_boni@ats-pavia.it.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Brigada</LastName><ForeName>Raffaella</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Azienda per la Tutela della Salute, Pavia. raffaella_brigada@ats-pavia.it.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Perlini</LastName><ForeName>Stefano</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Emergency Department, Fondazione IRCCS Policlinico San Matteo, Pavia. stefano.perlini@unipv.it.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>Italy</Country><MedlineTA>Monaldi Arch Chest Dis</MedlineTA><NlmUniqueID>9307314</NlmUniqueID><ISSNLinking>1122-0643</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName><QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="Y">Coronavirus Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006707" MajorTopicYN="N">Homes for the Aged</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007558" MajorTopicYN="N" Type="Geographic">Italy</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055370" MajorTopicYN="N">Lung Injury</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009735" MajorTopicYN="N">Nursing Homes</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="Y">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName><QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000067716" MajorTopicYN="Y">Point-of-Care Testing</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011237" MajorTopicYN="N">Predictive Value of Tests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012680" MajorTopicYN="N">Sensitivity and Specificity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014463" MajorTopicYN="Y">Ultrasonography</DescriptorName><QualifierName UI="Q000295" MajorTopicYN="N">instrumentation</QualifierName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D059015" MajorTopicYN="N">Wireless Technology</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>06</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>07</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>9</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>9</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32875776</ArticleId><ArticleId IdType="doi">10.4081/monaldi.2020.1446</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Italie</li><li>Oman</li></country><region><li>Toscane</li></region><settlement><li>Pise</li></settlement><orgName><li>Université de Pise</li></orgName></list><tree><country name="Oman"><noRegion><name sortKey="Dini, Frank Lloyd" sort="Dini, Frank Lloyd" uniqKey="Dini F" first="Frank Lloyd" last="Dini">Frank Lloyd Dini</name></noRegion><name sortKey="Bergamini, Carlo" sort="Bergamini, Carlo" uniqKey="Bergamini C" first="Carlo" last="Bergamini">Carlo Bergamini</name><name sortKey="Scopelliti, Massimo" sort="Scopelliti, Massimo" uniqKey="Scopelliti M" first="Massimo" last="Scopelliti">Massimo Scopelliti</name><name sortKey="Secco, Gianmarco" sort="Secco, Gianmarco" uniqKey="Secco G" first="Gianmarco" last="Secco">Gianmarco Secco</name></country><country name="Italie"><noRegion><name sortKey="Allegrini, Aldo" sort="Allegrini, Aldo" uniqKey="Allegrini A" first="Aldo" last="Allegrini">Aldo Allegrini</name></noRegion><name sortKey="Boni, Stefano" sort="Boni, Stefano" uniqKey="Boni S" first="Stefano" last="Boni">Stefano Boni</name><name sortKey="Brigada, Raffaella" sort="Brigada, Raffaella" uniqKey="Brigada R" first="Raffaella" last="Brigada">Raffaella Brigada</name><name sortKey="Miccoli, Mario" sort="Miccoli, Mario" uniqKey="Miccoli M" first="Mario" last="Miccoli">Mario Miccoli</name><name sortKey="Perlini, Stefano" sort="Perlini, Stefano" uniqKey="Perlini S" first="Stefano" last="Perlini">Stefano Perlini</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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