{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T18:08:57Z","timestamp":1780596537795,"version":"3.54.1"},"reference-count":101,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T00:00:00Z","timestamp":1780531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>Acute hypoxemic respiratory failure (AHRF) represents one of the most common and clinically challenging indications for invasive mechanical ventilation in the intensive care unit, characterized by profound etiological heterogeneity that demands accurate diagnosis to guide treatment. While clinical history, physical examination, and laboratory data remain essential, they are often insufficient to reliably discriminate among conditions such as acute respiratory distress syndrome (ARDS), cardiogenic pulmonary edema, and pneumonia\u2014particularly in mechanically ventilated patients. Lung imaging has therefore emerged as an indispensable complement to clinical assessment. In this narrative review, we systematically describe the physical principles, clinical applications, and limitations of the imaging modalities currently available in critical care: chest X-ray (CXR), computed tomography (CT), lung ultrasound (LUS), electrical impedance tomography (EIT), and positron emission tomography (PET). CXR remains the most widely used bedside tool but is constrained by low sensitivity and significant interobserver variability. CT is the gold standard for morphological and quantitative lung phenotyping, enabling the assessment of recruitability, baby lung characterization, and the identification of complications, but requires patient transport and exposes patients to ionizing radiation. LUS offers real-time, bedside evaluation of aeration with high diagnostic accuracy for pneumothorax and pleural effusion, and is increasingly integrated into revised ARDS diagnostic criteria. EIT enables continuous, radiation-free monitoring of regional ventilation distribution and positive end-expiratory pressure (PEEP)-guided titration directly at the bedside. While PET provides unparalleled quantification of regional inflammation and ventilation-perfusion mismatch, it currently remains a purely investigative research tool. Finally, we discuss emerging technological and AI-driven advances\u2014including dual-energy CT, next-generation EIT, and deep learning algorithms\u2014that are poised to transform lung imaging from a passive diagnostic tool into an active, personalized guide to respiratory management.<\/jats:p>","DOI":"10.3390\/jcm15114345","type":"journal-article","created":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T17:11:04Z","timestamp":1780593064000},"page":"4345","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Lung Imaging in Acute Hypoxemic Respiratory Failure: From Physics to Bedside Applications"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9290-5090","authenticated-orcid":false,"given":"Silvia","family":"Coppola","sequence":"first","affiliation":[{"name":"Department of Health Sciences, University of Milan, 20142 Milan, Italy"},{"name":"Department of Anesthesia and Intensive Care, ASST Santi Paolo e Carlo, San Paolo University Hospital Milan, 20142 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8208-4978","authenticated-orcid":false,"given":"Tommaso","family":"Pozzi","sequence":"additional","affiliation":[{"name":"Department of Anesthesia and Intensive Care, ASST Santi Paolo e Carlo, San Paolo University Hospital Milan, 20142 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9260-3930","authenticated-orcid":false,"given":"Davide","family":"Chiumello","sequence":"additional","affiliation":[{"name":"Department of Health Sciences, University of Milan, 20142 Milan, Italy"},{"name":"Department of Anesthesia and Intensive Care, ASST Santi Paolo e Carlo, San Paolo University Hospital Milan, 20142 Milan, Italy"},{"name":"Coordinated Center on Respiratory Failure, University of Milan, 20157 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,6,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1186\/s13054-025-05369-9","article-title":"Monitoring Patients with Acute Respiratory Failure during Non-Invasive Respiratory Support to Minimize Harm and Identify Treatment Failure","volume":"29","author":"Perez","year":"2025","journal-title":"Crit. 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