{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T11:41:28Z","timestamp":1792842088095,"version":"4.5.0"},"reference-count":35,"publisher":"BMJ","issue":"5","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2014,5,7]]},"published-print":{"date-parts":[[2014,5]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>\n                      Radiation delivered during CT is a major concern, especially for individuals undergoing repeated screening. We aimed to compare a new ultra-low-dose algorithm called\n                      <jats:italic>Veo<\/jats:italic>\n                      with the gold standard filtered back projection (FBP) for detecting pulmonary asbestos-related conditions.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>University Hospital CHU G. Montpied, Clermont-Ferrand, France<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>\n                      Asbestos-exposed workers were recruited following referral to screening for asbestos-related conditions. Two acquisitions were performed on a 64-slice CT: the gold standard FBP followed by\n                      <jats:italic>Veo<\/jats:italic>\n                      reconstruction.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Outcome measures<\/jats:title>\n                    <jats:p>Two radiologists independently assessed asbestos-related abnormalities, pulmonary nodules, radiation doses and image quality (noise).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We included 27 asbestos-exposed workers (63.3\u00b16.5\u2005years with 11.9\u00b19.7\u2005years of asbestos exposure). We observed 297 pleural plaques in 20 participants (74%). All patients (100%) had pulmonary nodules, totalling 167 nodules. Detection rates did not differ for pleural plaques (\n                      <jats:italic>Veo<\/jats:italic>\n                      87% vs FBP 97%, NS), pleural thickening (100% for both) and pulmonary nodules (80% for both). Interstitial abnormalities were depicted less frequently with\n                      <jats:italic>Veo<\/jats:italic>\n                      than FBP. False negative and false positive did not exceed 2.7%. Compared with FBP,\n                      <jats:italic>Veo<\/jats:italic>\n                      decreased the radiation dose up to 87% (\n                      <jats:italic>Veo<\/jats:italic>\n                      0.23\u00b10.07 vs FBP 1.83\u00b10.88\u2005mSv, p&lt;0.001). The objective image noise also decreased with\n                      <jats:italic>Veo<\/jats:italic>\n                      as much as 23% and signal-to-noise ratio increased up to 33%.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      A low-dose CT with\n                      <jats:italic>Veo<\/jats:italic>\n                      reconstruction substantially reduced radiation.\n                      <jats:italic>Veo<\/jats:italic>\n                      compared favourably with FBP in detecting pleural plaques, pleural thickening and pulmonary nodules. These results should be confirmed on a larger sample size before the use of\n                      <jats:italic>Veo<\/jats:italic>\n                      in clinical routine practice in asbestos-related conditions, especially regarding the low prevalence of interstitial abnormalities in this study.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Trial registration number<\/jats:title>\n                    <jats:p>NCT01955018.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2014-004980","type":"journal-article","created":{"date-parts":[[2014,5,31]],"date-time":"2014-05-31T00:41:06Z","timestamp":1401496866000},"page":"e004980","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":14,"title":["Comparison of the ultra-low-dose\n                    <i>Veo<\/i>\n                    algorithm with the gold standard filtered back projection for detecting pulmonary asbestos-related conditions: a clinical observational study"],"prefix":"10.1136","volume":"4","clinical-trial-number":[{"clinical-trial-number":"nct01955018","registry":"10.18810\/clinical-trials-gov"}],"author":[{"given":"Marielle","family":"Tekath","sequence":"first","affiliation":[{"name":"Department of Radiology, University Hospital CHU G. 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Montpied, Clermont-Ferrand, France"},{"name":"School of Exercise Science, Australian Catholic University, Fitzroy, Victoria, Australia"},{"name":"Laboratory of Metabolic Adaptations to Exercise in Physiological and Pathological Conditions EA3533, Blaise Pascal University, Clermont-Ferrand, France"},{"name":"INRA, UMR 1019, UNH, CRNH Auvergne, Clermont-Ferrand, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Romain","family":"Bellini","sequence":"additional","affiliation":[{"name":"Department of Radiology, Centre Jean Perrin, University Hospital CHU, Clermont-Ferrand, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antoine","family":"Roche","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Hospital CHU G. 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