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2022
DOI: 10.1111/resp.14344
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Innovations in thoracic imaging: CT, radiomics, AI and x‐ray velocimetry

Abstract: In recent years, pulmonary imaging has seen enormous progress, with the introduction, validation and implementation of new hardware and software. There is a general trend from mere visual evaluation of radiological images to quantification of abnormalities and biomarkers, and assessment of ‘non visual’ markers that contribute to establishing diagnosis or prognosis. Important catalysts to these developments in thoracic imaging include new indications (like computed tomography [CT] lung cancer screening) and the… Show more

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Cited by 24 publications
(18 citation statements)
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“…Balancing the positive impact of LCS on LC mortality with the risks of radiation exposure is one major focus of LCS literature. Recent improvements in CT hardware and software fostered a great interest in reducing the radiation burden beyond the current state-of-the-art in thoracic imaging (LDCT) toward imaging at a calculated radiation dose of below 1 milliSievert, termed ultra-low-dose CT (ULDCT) [ 45 , 46 ].…”
Section: Discussionmentioning
confidence: 99%
“…Balancing the positive impact of LCS on LC mortality with the risks of radiation exposure is one major focus of LCS literature. Recent improvements in CT hardware and software fostered a great interest in reducing the radiation burden beyond the current state-of-the-art in thoracic imaging (LDCT) toward imaging at a calculated radiation dose of below 1 milliSievert, termed ultra-low-dose CT (ULDCT) [ 45 , 46 ].…”
Section: Discussionmentioning
confidence: 99%
“…Bei rein pulmonaler Fragestellung ist die CT auch im Niedrigstrahlendosisbereich ohne Kontrastmittel möglich. Unterstützend werden Bildnachbearbeitungen angewendet, wie multiplanare Rekonstruktionen, Maximum-Intensitäts-Projektionen, CAD(„computer aided diagnosis“)-Systeme und Texturanalysen mit zunehmender Unterstützung durch künstliche Intelligenz [ 4 ].…”
Section: Bildgestützte Diagnostik Und Therapieunclassified
“… Examples of radiographically derived ventilation. Panel (A) shows XV analysis of regional lung ventilation using a color scale (red represents areas with decreased ventilation) ( 31 ). Panel (B) represents 4D CT imaging which shows regional areas of high ventilation and areas of low ventilation (red represents areas with decreased ventilation).…”
Section: Introductionmentioning
confidence: 99%