{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T05:12:03Z","timestamp":1790226723340,"version":"4.1.0"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T00:00:00Z","timestamp":1763164800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T00:00:00Z","timestamp":1763164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100004721","name":"The University of Tokyo","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100004721","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Skeletal Radiol"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To evaluate the impact of combining a second-generation super-resolution deep learning\u2013based reconstruction (DLR2) with a metal artifact reduction (MAR) algorithm in CT images of patients with metal hip implants by assessing both quantitative metrics and qualitative reader ratings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>\n                      This retrospective study included 40 patients (30 females; age range, 54\u201393 years) with metal hip implants. Images were reconstructed using DLR2, a first-generation DLR (DLR1), and a conventional hybrid iterative reconstruction (HIR), each combined with MAR. Images without MAR were also reconstructed using DLR2 (DLR2-only). Standard deviations (SDs) of attenuation in the regions of interest (ROI) over the bladder, gluteus maximus muscle, and gluteal fat were recorded. Artifact indices for muscle (AI\n                      <jats:sub>muscle<\/jats:sub>\n                      ) and fat (AI\n                      <jats:sub>fat<\/jats:sub>\n                      ) were also calculated. Three radiologists independently assessed the depiction of pelvic structures (femoral artery, bladder, rectum, uterus\/prostate), artifact reduction, and diagnostic usability with 5-point scores. For statistical analysis, the Wilcoxon signed-rank test was used with the Holm correction for multiple comparisons.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      DLR2\u2009+\u2009MAR showed significantly lower SDs than DLR1\u2009+\u2009MAR, HIR\u2009+\u2009MAR, and DLR2-only across all three ROIs (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01\u20130.02). For both AI\n                      <jats:sub>muscle<\/jats:sub>\n                      and AI\n                      <jats:sub>fat<\/jats:sub>\n                      , DLR2\u2009+\u2009MAR had the lowest values, though differences with DLR1\u2009+\u2009MAR were not significant (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.80, 0.11). DLR2\u2009+\u2009MAR showed significantly higher scores for the depiction of the femoral artery and rectum compared with other\u2009+\u2009MAR reconstruction methods (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01\u20130.04), with no significant differences in the remaining categories (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.08\u20130.91). Inter-rater agreement ranged from 0.67 to 0.77, indicating substantial agreement.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Combining DLR2 and MAR improves image quality and visualization of pelvic structures.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00256-025-05080-4","type":"journal-article","created":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T09:04:10Z","timestamp":1763197450000},"page":"757-765","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Diagnostic value of a second-generation super-resolution deep learning\u2013based reconstruction combined with a metal artifact reduction algorithm for pelvic CT"],"prefix":"10.1007","volume":"55","author":[{"given":"Taku","family":"Takaishi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koichiro","family":"Yasaka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kazuyoshi","family":"Miyamoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kohei","family":"Gotoda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chiaki","family":"Sato","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Osamu","family":"Abe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,11,15]]},"reference":[{"key":"5080_CR1","doi-asserted-by":"publisher","first-page":"1662","DOI":"10.1016\/S0140-6736(18)31777-X","volume":"392","author":"RJ Ferguson","year":"2018","unstructured":"Ferguson RJ, Palmer AJ, Taylor A, Porter ML, Malchau H, Glyn-Jones S. 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Our Institutional Review Board waived the requirement for obtaining written informed consent from patients.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}