{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T15:33:28Z","timestamp":1789140808027,"version":"build-2803163510"},"reference-count":160,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T00:00:00Z","timestamp":1779408000000},"content-version":"vor","delay-in-days":141,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Continuous-wave Doppler (CWD) echocardiography remains a cornerstone in the haemodynamic assessment of valvular heart disease, providing critical insights into transvalvular flow, pressure gradients, and lesion severity. Beyond simple velocity measurements, the morphology, timing, intensity, and contour of Doppler waveforms contain rich physiological information that can refine diagnosis, risk stratification, and clinical decision-making. However, these signals are frequently underutilized or misinterpreted because accurate interpretation requires meticulous acquisition technique, understanding of Doppler physics, and integration with haemodynamic principles. This review discusses the fundamental principles underpinning CWD interrogation, including the Doppler and Bernoulli equations, and highlights the strengths, limitations, and common pitfalls encountered in clinical practice. We systematically review the application of CWD in aortic, mitral, tricuspid, and pulmonary valve disease, focusing on waveform morphology, velocity and gradient interpretation, pressure half-time, velocity\u2013time integral, dimensionless indices, and Doppler signal intensity analysis. Particular emphasis is placed on complex haemodynamic scenarios, including low-flow states, dynamic obstruction, mixed valve disease, severe regurgitation, prosthetic valves, and discordant findings between Doppler and invasive measurements. The review also explores emerging concepts such as Doppler signal pixel intensity analysis and the future role of artificial intelligence in integrating high-density Doppler information into physiology-driven interpretation frameworks. Ultimately, Doppler echocardiography should not be viewed merely as a source of numerical outputs, but as a comprehensive bedside physiological tool requiring critical interpretation within the broader clinical and haemodynamic context.<\/jats:p>","DOI":"10.1093\/ehjimp\/qyag096","type":"journal-article","created":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T11:42:07Z","timestamp":1779277327000},"source":"Crossref","is-referenced-by-count":1,"title":["Continuous-wave Doppler interrogation in valvular heart disease: pearls and pitfalls"],"prefix":"10.1093","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9693-6406","authenticated-orcid":false,"given":"Frank","family":"Timmermans","sequence":"first","affiliation":[{"name":"Department of Cardiology, University Hospital Ghent, Ghent University , Corneel Heymanslaan 11, Ghent 9000 ,","place":["Belgium"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2106-2668","authenticated-orcid":false,"given":"Edgar","family":"Argulian","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Mount Sinai Morningside, Icahn School of Medicine at Mount Sinai , 1111 Amsterdam Avenue, NewYork, NY 10025 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3254-6820","authenticated-orcid":false,"given":"Hatem","family":"Soliman-Aboumarie","sequence":"additional","affiliation":[{"name":"Department of Cardiac Anaesthesia and Critical Care, Harefield Hospital, Royal Brompton and Harefield Hospitals Hill End Road , Uxbridge UB9 6JH ,","place":["UK"]},{"name":"School of Cardiovascular, Metabolic Medicine and Sciences, King\u2019s College London, Strand , London WC2R 2LS 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