Title |
Ultrasound imaging of the axilla
|
---|---|
Published in |
Insights into Imaging, May 2023
|
DOI | 10.1186/s13244-023-01430-9 |
Pubmed ID | |
Authors |
Giulio Cocco, Vincenzo Ricci, Costantino Ricci, Ondřej Naňka, Orlando Catalano, Antonio Corvino, Andrea Boccatonda, Francesco Lorenzo Serafini, Jacopo Izzi, Gianfranco Vallone, Vito Cantisani, Giovanni Iannetti, Massimo Caulo, Claudio Ucciferri, Jacopo Vecchiet, Andrea Delli Pizzi |
Abstract |
Axilla is a pyramidal-in-shape "virtual cavity" housing multiple anatomical structures and connecting the upper limb with the trunk. To the best of our knowledge, in the pertinent literature, a detailed sonographic protocol to comprehensively assess the axillary region in daily practice is lacking. In this sense, the authors have briefly described the anatomical architecture of the axilla-also using cadaveric specimens-to propose a layer-by-layer sonographic approach to this challenging district. The most common sonographic pathological findings-for each and every anatomical compartment of the axilla-have been accurately reported and compared with the corresponding histopathological features. This ultrasound approach could be considered a ready-to-use educational guidance for the assessment of the axillary region. CRITICAL RELEVANCE STATEMENT: Axilla is a pyramidal-in-shape "virtual cavity" housing multiple anatomical structures and connecting the upper limb with the trunk. The aim of this review article was to describe the anatomical architecture of the axilla, also using cadaveric specimens, in order to propose a layer-by-layer sonographic approach to this challenging district. |
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Austria | 1 | 33% |
Spain | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
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Unknown | 7 | 100% |
Demographic breakdown
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Other | 1 | 14% |
Lecturer | 1 | 14% |
Student > Doctoral Student | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Researcher | 1 | 14% |
Other | 1 | 14% |
Unknown | 1 | 14% |
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Materials Science | 1 | 14% |
Unknown | 3 | 43% |