{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T11:33:36Z","timestamp":1767008016763,"version":"3.41.2"},"reference-count":20,"publisher":"Oxford University Press (OUP)","issue":"1071","license":[{"start":{"date-parts":[[2017,3,1]],"date-time":"2017-03-01T00:00:00Z","timestamp":1488326400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3,1]]},"abstract":"<jats:sec>\n                  <jats:title>Objective:<\/jats:title>\n                  <jats:p>To assess the image quality of chest CT reconstructed with image-based iterative reconstruction (SafeCT; MedicVision\u00ae, Tirat Carmel, Israel), adaptive statistical iterative reconstruction (ASIR; GE Healthcare, Waukesha, WI) and model-based iterative reconstruction (MBIR; GE Healthcare, Waukesha, WI) techniques at CT dose index volume (CTDIvol) &amp;lt;1\u2009mGy.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods:<\/jats:title>\n                  <jats:p>In an institutional review board-approved study, 25 patients gave written informed consent for acquisition of three reduced dose (0.25-, 0.4- and 0.8-mGy) chest CT after standard of care CT (8\u2009mGy) on a 64-channel multidetector CT (MDCT) and reconstructed with SafeCT, ASIR and MBIR. Two board-certified thoracic radiologists evaluated images from the lowest to the highest dose of the reduced dose CT series and subsequently for standard of care CT.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results:<\/jats:title>\n                  <jats:p>Out of the 182 detected lesions, the missed lesions were 35 at 0.25, 24 at 0.4 and 9 at 0.8\u2009mGy with SafeCT, ASIR and MBIR, respectively. The most missed lesions were non-calcified lung nodules (NCLNs) 25\/112 (&amp;lt;5\u2009mm) at 0.25, 18\/112 (&amp;lt;5\u2009mm) at 0.4 and 3\/112 (&amp;lt;4\u2009mm) at 0.8\u2009mGy. There were 78%, 84% and 97% lung nodules detected at 0.25, 0.4 and 0.8\u2009mGy, respectively regardless of iterative reconstruction techniques (IRTs), Most mediastinum structures were not sufficiently seen at 0.25\u20130.8\u2009mGy.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion:<\/jats:title>\n                  <jats:p>NCLNs can be missed in chest CT at CTDIvol of &amp;lt;1\u2009mGy (0.25, 0.4 and 0.8\u2009mGy) regardless of IRTs. The most lung nodules (97%) were detected at CTDIvol of 0.8\u2009mGy. The most mediastinum structures were not sufficiently seen at 0.25\u20130.8\u2009mGy.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge:<\/jats:title>\n                  <jats:p>NCLNs can be missed regardless of IRTs in chest CT at CTDIvol of &amp;lt;1\u2009mGy. The performance of ASIR, SafeCT and MBIR was similar for lung nodule detection at 0.25, 0.4 and 0.8\u2009mGy.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1259\/bjr.20160625","type":"journal-article","created":{"date-parts":[[2017,1,5]],"date-time":"2017-01-05T17:22:18Z","timestamp":1483636938000},"source":"Crossref","is-referenced-by-count":11,"title":["Assessment of chest CT at CTDIvol less than 1\u2009mGy with iterative reconstruction techniques"],"prefix":"10.1093","volume":"90","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3917-4871","authenticated-orcid":false,"given":"Atul","family":"Padole","sequence":"first","affiliation":[{"name":"Department of Radiology, Massachusetts General Hospital, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Subba","family":"Digumarthy","sequence":"additional","affiliation":[{"name":"Department of Radiology, Massachusetts General Hospital, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Efren","family":"Flores","sequence":"additional","affiliation":[{"name":"Department of Radiology, Massachusetts General Hospital, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rachna","family":"Madan","sequence":"additional","affiliation":[{"name":"Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shelly","family":"Mishra","sequence":"additional","affiliation":[{"name":"Department of Radiology, Massachusetts General Hospital, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amita","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Radiology, Massachusetts General Hospital, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mannudeep K","family":"Kalra","sequence":"additional","affiliation":[{"name":"Department of Radiology, Massachusetts General Hospital, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2017,3,3]]},"reference":[{"key":"2024050213541473100_b1","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1148\/radiol.2303021726","article-title":"Strategies for CT radiation dose optimization","volume":"230","author":"Kalra","year":"2004","journal-title":"Radiology"},{"key":"2024050213541473100_b2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rcl.2013.08.004","article-title":"Radiation dose optimization and thoracic computed tomography","volume":"52","author":"Singh","year":"2014","journal-title":"Radiol Clin North Am"},{"key":"2024050213541473100_b3","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1148\/radiol.11101450","article-title":"Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study","volume":"259","author":"Singh","year":"2011","journal-title":"Radiology"},{"key":"2024050213541473100_b4","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1097\/RLI.0000000000000037","article-title":"Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping","volume":"49","author":"Gordic","year":"2014","journal-title":"Invest Radiol"},{"key":"2024050213541473100_b5","doi-asserted-by":"crossref","first-page":"3138","DOI":"10.1007\/s00330-015-4126-0","article-title":"Diagnostic accuracy of low-mA chest CT reconstructed with model based iterative reconstruction in the detection of early pleuro-pulmonary complications following a lung transplantation","volume":"26","author":"Debray","year":"2016","journal-title":"Eur Radiol"},{"key":"2024050213541473100_b6","doi-asserted-by":"crossref","first-page":"545","DOI":"10.2214\/AJR.12.9424","article-title":"Image quality assessment of standard- and low-dose chest CT using filtered back projection, adaptive statistical iterative reconstruction, and novel model-based iterative reconstruction algorithms","volume":"200","author":"Vardhanabhuti","year":"2013","journal-title":"AJR Am J Roentgenol"},{"key":"2024050213541473100_b7","doi-asserted-by":"crossref","first-page":"1934","DOI":"10.1016\/j.ejrad.2014.06.024","article-title":"Ultra low-dose chest CT using filtered back projection: comparison of 80-, 100- and 120 kVp protocols in a prospective randomized study","volume":"83","author":"Khawaja","year":"2014","journal-title":"Eur J Radiol"},{"key":"2024050213541473100_b8","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1148\/radiol.10092212","article-title":"Abdominal CT: comparison of adaptive statistical iterative and filtered back projection reconstruction techniques","volume":"257","author":"Singh","year":"2010","journal-title":"Radiology"},{"key":"2024050213541473100_b9","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1148\/radiol.10091487","article-title":"Diffuse lung disease: CT of the chest with adaptive statistical iterative reconstruction technique","volume":"256","author":"Prakash","year":"2010","journal-title":"Radiology"},{"key":"2024050213541473100_b10","doi-asserted-by":"crossref","first-page":"1095","DOI":"10.2214\/AJR.09.4050","article-title":"A prospective evaluation of dose reduction and image quality in chest CT using adaptive statistical iterative reconstruction","volume":"195","author":"Leipsic","year":"2010","journal-title":"AJR Am J Roentgenol"},{"key":"2024050213541473100_b11","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1097\/RCT.0000000000000087","article-title":"Computed tomography (CT) of the chest at less than 1\u2009mSv: an ongoing prospective clinical trial of chest CT at submillisievert radiation doses with iterative model image reconstruction and iDose4 technique","volume":"38","author":"Khawaja","year":"2014","journal-title":"J Comput Assist Tomogr"},{"key":"2024050213541473100_b12","doi-asserted-by":"crossref","first-page":"772","DOI":"10.2214\/AJR.13.12312","article-title":"Submillisievert chest CT with filtered back projection and iterative reconstruction techniques","volume":"203","author":"Padole","year":"2014","journal-title":"AJR Am J Roentgenol"},{"key":"2024050213541473100_b13","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1097\/RCT.0b013e3182a17629","article-title":"Preliminary results: prospective clinical study to assess image-based iterative reconstruction for abdominal computed tomography acquired at 2 radiation dose levels","volume":"38","author":"Pourjabbar","year":"2014","journal-title":"J Comput Assist Tomogr"},{"key":"2024050213541473100_b14"},{"key":"2024050213541473100_b15","doi-asserted-by":"crossref","first-page":"881","DOI":"10.2214\/AJR.09.3462","article-title":"Estimating effective dose for CT using dose-length product compared with using organ doses: consequences of adopting International Commission on Radiological Protection publication 103 or dual-energy scanning","volume":"194","author":"Christner","year":"2010","journal-title":"AJR Am J Roentgenol"},{"key":"2024050213541473100_b16","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1097\/RLI.0b013e3182562a89","article-title":"Model-based iterative reconstruction technique for ultralow-dose computed tomography of the lung: a pilot study","volume":"47","author":"Yamada","year":"2012","journal-title":"Invest Radiol"},{"key":"2024050213541473100_b17","doi-asserted-by":"crossref","first-page":"1613","DOI":"10.1007\/s00330-012-2452-z","article-title":"Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique","volume":"22","author":"Katsura","year":"2012","journal-title":"Eur Radiol"},{"key":"2024050213541473100_b18","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1007\/s00330-012-2627-7","article-title":"Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: preliminary observations","volume":"23","author":"Neroladaki","year":"2013","journal-title":"Eur Radiol"},{"key":"2024050213541473100_b19","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1148\/radiol.2372041887","article-title":"Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society","volume":"237","author":"MacMahon","year":"2005","journal-title":"Radiology"},{"key":"2024050213541473100_b20","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1136\/thoraxjnl-2015-207221","article-title":"The British Thoracic Society guidelines on the investigation and management of pulmonary nodules","volume":"70","author":"Baldwin","year":"2015","journal-title":"Thorax"}],"container-title":["The British Journal of Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bjr\/article-pdf\/90\/1071\/20160625\/57383138\/bjr.20160625.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bjr\/article-pdf\/90\/1071\/20160625\/57383138\/bjr.20160625.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,2]],"date-time":"2024-05-02T13:59:24Z","timestamp":1714658364000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bjr\/article\/doi\/10.1259\/bjr.20160625\/7445723"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,1]]},"references-count":20,"journal-issue":{"issue":"1071","published-online":{"date-parts":[[2017,3,3]]},"published-print":{"date-parts":[[2017,3,1]]}},"URL":"https:\/\/doi.org\/10.1259\/bjr.20160625","relation":{},"ISSN":["0007-1285","1748-880X"],"issn-type":[{"type":"print","value":"0007-1285"},{"type":"electronic","value":"1748-880X"}],"subject":[],"published-other":{"date-parts":[[2017,3,1]]},"published":{"date-parts":[[2017,3,1]]},"article-number":"20160625"}}