{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T15:04:14Z","timestamp":1784127854520,"version":"3.55.0"},"reference-count":25,"publisher":"Scientific Scholar","content-domain":{"domain":["clinicalimagingscience.org"],"crossmark-restriction":true},"short-container-title":["JCIS"],"abstract":"\nObjectives:<\/jats:title>\nThe objective of the study was to evaluate the efficacy of ultra-high-resolution computed tomography (UHRCT) in comparison to conventional resolution computed tomography (CT) for the characterization of lung nodules.<\/jats:p>\n<\/jats:sec>\n\nMaterial and Methods:<\/jats:title>\n104 non-contrast chest UHRCT scans (mean age of 66 years, 57 females) with pulmonary nodules were retrospectively collected (February\u2013November 2022), and corresponding normal-resolution (NR) reconstructions were synthesized using a validated algorithm. Five blinded radiologists scored the following for each localized nodule in the ultra-high-resolution (UHR) and NR datasets: Margin clarity (5-point Likert scale), image quality \u201cIQ\u201d (3-point), density confidence (0\u2013100%), and size (long\/short axes). Image noise (voxel standard deviation) was calculated within the trachea. Differences between UHR and NR were tested using the Wilcoxon signed-rank test. Intrareader agreement was quantified with intraclass correlation coefficient (ICC), and ordinal association between margin clarity and IQ was quantified with Kendall\u2019s \u03c4<\/jats:italic> coefficient.<\/jats:p>\n<\/jats:sec>\n\nResults:<\/jats:title>\nMargin clarity, IQ, and density confidence were significantly higher for UHR (P<\/jats:italic> < 0.001). No significant differences between UHR and NR were observed in the variability (standard deviation across readers) for measuring long and short axes (P<\/jats:italic> > 0.100). Intrareader agreement for UHR and NR was poor for margin clarity, IQ, and density confidences (ICC < 0.250) but moderate for short axes (ICC = 0.731) and good for long axes (ICC = 0.807). Ordinal association between margin clarity and IQ was moderate for UHR (\u03c4<\/jats:italic> = 0.566) and good for IQ (\u03c4<\/jats:italic> = 0.637). Image noise was significantly higher (P<\/jats:italic> < 0.001) for UHR compared to NR.<\/jats:p>\n<\/jats:sec>\n\nConclusion:<\/jats:title>\nUHRCT offers significant improvements in the visualization of lung nodules compared to conventional resolution CT, albeit with an increase in image noise.<\/jats:p>\n<\/jats:sec>","DOI":"10.25259\/jcis_17_2025","type":"journal-article","created":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T05:17:07Z","timestamp":1752124627000},"page":"25","update-policy":"https:\/\/doi.org\/10.25259\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A multireader, multicase study comparing ultra-high-resolution and conventional-resolution computed tomography for lung nodule characterization"],"prefix":"10.25259","volume":"15","author":[{"given":"Andrew M.","family":"Hernandez","sequence":"first","affiliation":[{"name":"Department of Radiology, University of California Davis, Sacramento, California, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anthony F.","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of California Davis, Sacramento, California, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatma","family":"Sen","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of California Davis, Sacramento, California, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ana S.","family":"Mitchell","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of California Davis, Sacramento, California, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah E.","family":"McKenney","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of California Davis, Sacramento, California, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lorenzo","family":"Nardo","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of California Davis, Sacramento, California, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Craig K.","family":"Abbey","sequence":"additional","affiliation":[{"name":"Department of Psychological and Brain Sciences, University of California, Santa Barbara, California, United States,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad H.","family":"Madani","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of California Davis, Sacramento, California, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10894","published-online":{"date-parts":[[2025,7,8]]},"reference":[{"key":"10.25259\/JCIS_17_2025\/ref-1","doi-asserted-by":"publisher","first-page":"e93S","DOI":"10.1378\/chest.12-2351","article-title":"Evaluation of individuals with pulmonary nodules: When is it lung cancer? 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