{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T14:30:54Z","timestamp":1786372254163,"version":"build-2736575974"},"reference-count":27,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T00:00:00Z","timestamp":1786320000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Radiol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Coronary CT angiography (CCTA) has become a key imaging technique for clinical screening of coronary artery disease (CAD). Overweight patients have a higher prevalence of CAD, however, they face increased risks of radiation exposure and contrast-induced nephropathy during CCTA examinations. This study aimed to explore the feasibility of an 80 kVp scanning protocol combined with deep learning image reconstruction (DLIR) algorithm to reducing radiation dose and contrast agent dose in overweight patients with CCTA.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A prospective study was conducted on 100 overweight patients who underwent CCTA, randomly divided into two groups of 50 patients each. The scanning tube voltage of group A was 80 kVp, the dose of contrast agent was calculated as BMI\u00d70.14\u2005mL\/s\u00d79s, and H-strength DLIR(DLIR-H) was used for image reconstruction. The voltage of group B was 100 kVp, the contrast agent dose was calculated as BMI\u00d70.18\u2005mL\/s\u00d79s and the image was reconstruction by 50% adaptive statistical iterative reconstruction-Veo (ASIR-V50%). Radiation dose, contrast agent dose, injection rate, subjective and objective image quality were compared.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Compared to Group B, Group A exhibited significantly lower values for radiation dose (2.85\u2009\u00b1\u20090.46 vs.4.46\u2009\u00b1\u20090.69 mSv), contrast agent dose (34.62\u2009\u00b1\u20092.05 vs. 43.64\u2009\u00b1\u20091.91\u2005mL) and injection rate (3.83\u2009\u00b1\u20090.22 vs. 4.84\u2009\u00b1\u20090.21\u2005mL\/s) (all\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&amp;lt;\u20090.001), representing reductions of 36.02%, 20.67% and 20.87%, respectively. Inter-reader agreement for subjective scores were excellent (\n                      <jats:italic>\u043a<\/jats:italic>\n                      between 0.89 and 1.00). Group A demonstrated significantly lower background noise compared to Group B (15.46\u2009\u00b1\u20092.82 vs. 21.60\u2009\u00b1\u20094.36 HU,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&amp;lt;\u20090.001). The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of major coronary arteries were significantly better in Group A compared to Group B (both\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&amp;lt;\u20090.05), except for the SNR of left circumflex artery.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In overweight patients undergoing CCTA, the 80 kVp protocol combined DLIR-H effectively reduced the radiation dose, contrast agent dose and injection rate while ensuring image quality compared to the 100 kVp combined ASIR-V50% scanning protocol.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fradi.2026.1876684","type":"journal-article","created":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T13:30:46Z","timestamp":1786368646000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Application of 80 kVp combined with deep learning reconstruction algorithm in overweight patients coronary CT angiography: reduced radiation dose and contrast agent dose"],"prefix":"10.3389","volume":"6","author":[{"given":"Hangge","family":"Pan","sequence":"first","affiliation":[{"name":"Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University","place":["Linhai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiushuang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University","place":["Linhai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianrong","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University","place":["Linhai, China"]},{"name":"Key Laboratory of Evidence-Based Radiology of Taizhou","place":["Linhai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingli","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University","place":["Linhai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aiyun","family":"Sun","sequence":"additional","affiliation":[{"name":"CT Imaging Research Center, GE HealthCare China","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,10]]},"reference":[{"key":"B1","volume-title":"World Heart Report 2023: Confronting the World's Number One Killer","author":"Di Cesare","year":"2023"},{"key":"B2","doi-asserted-by":"publisher","first-page":"E984","DOI":"10.1161\/CIR.0000000000000973","article-title":"Obesity and cardiovascular disease A scientific statement from the American Heart Association","volume":"143","author":"Powell-Wiley","year":"2021","journal-title":"Circulation"},{"key":"B3","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1001\/jamacardio.2018.0022","article-title":"Association of body mass index with lifetime risk of cardiovascular disease and compression of morbidity","volume":"3","author":"Khan","year":"2018","journal-title":"JAMA Cardiol"},{"key":"B4","doi-asserted-by":"publisher","first-page":"3390","DOI":"10.1111\/dom.15238","article-title":"Prevalence of obesity and associated complications in China: a cross-sectional, real-world study in 15.8 million adults","volume":"25","author":"Chen","year":"2023","journal-title":"Diabetes Obes Metab"},{"key":"B5","author":"Ramjattan","year":"2021"},{"key":"B6","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/j.jcct.2021.03.009","article-title":"Following the evidence: the pre-eminent role of coronary CT angiography in 2021","volume":"15","author":"Nicol","year":"2021","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"B7","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.1016\/j.jcmg.2023.03.008","article-title":"When does a calcium score equate to secondary prevention?: insights from the multinational CONFIRM registry","volume":"16","author":"Budoff","year":"2023","journal-title":"JACC Cardiovasc Imaging"},{"key":"B8","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.jcct.2020.11.001","article-title":"SCCT 2021 expert consensus document on coronary computed tomographic angiography: a report of the society of cardiovascular computed tomography","volume":"15","author":"Narula","year":"2021","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"B9","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/s00330-010-1984-3","article-title":"Radiation dose of cardiac computed tomography - 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