{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T00:37:54Z","timestamp":1777509474631,"version":"3.51.4"},"reference-count":25,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T00:00:00Z","timestamp":1764028800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Inje University Busan Paik Hospital Research Grant.","award":["Inje University Busan Paik Hospital Research Grant"],"award-info":[{"award-number":["Inje University Busan Paik Hospital Research Grant"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acta Radiol"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Deep learning (DL)-based reconstruction may decrease the scan time of three-dimensional (3D) T1-weighted (T1W) imaging without compromising image quality. However, DL-based super-resolution reconstruction of volumetric interpolated breath-hold examination (DL-VIBE) has not previously been applied to intracranial contrast-enhancing lesions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To investigate the diagnostic performance of DL-VIBE and compare it with conventional 3D T1 magnetization-prepared rapid-acquisition gradient echo (MPRAGE) for assessing intracranial enhancing lesions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>\n                      In this study, 97 patients (35 men, 62 women; mean age = 59.2\u2009\u00b1\u200915.3 years) who underwent both contrast-enhanced 3D T1W imaging in the same imaging session (1\u2005min 49\u2005s vs. 5\u2005min 32\u2005s) between May and December 2023 were retrospectively included. Two neuroradiologists independently evaluated image quality, gray-white matter differentiation, lesion conspicuity, and artifacts using a 5-point Likert scale. Quantitative metrics included the number and maximum diameter of enhancing lesions, contrast:noise ratio (CNR) of lesion-to-normal parenchyma (CNR\n                      <jats:sub>lesion\/parenchyma<\/jats:sub>\n                      ), and CNR of white:gray matter (CNR\n                      <jats:sub>WM\/GM<\/jats:sub>\n                      ).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Although DL-VIBE demonstrated lower overall image quality and gray-white matter differentiation, it showed significantly higher CNR\n                      <jats:sub>lesion\/parenchyma<\/jats:sub>\n                      and fewer motion and pulsation artifacts (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009&lt;0.001) than conventional MPRAGE. Furthermore, no significant differences were observed in the lesion conspicuity, number, or longest diameter of enhancing lesions between DL-VIBE and conventional MPRAGE (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009&gt;0.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>DL-VIBE showed comparable diagnostic performance for intracranial enhancing lesions with reduced scan time compared to conventional MPRAGE, although it was limited by a lower image quality. Therefore, DL-VIBE represents a promising approach for the technical development of DL-based reconstruction in clinical practice.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02841851251398622","type":"journal-article","created":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T17:32:16Z","timestamp":1764091936000},"page":"133-141","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep learning-based super-resolution of contrast-enhanced volumetric interpolated breath-hold examination for evaluation of intracranial enhancing lesions"],"prefix":"10.1177","volume":"67","author":[{"given":"Su Young","family":"Yun","sequence":"first","affiliation":[{"name":"Inje University Busan Paik Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4765-0727","authenticated-orcid":false,"given":"Young Jin","family":"Heo","sequence":"additional","affiliation":[{"name":"Inje University Busan Paik Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,11,25]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.17.18490"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.182.3.1535892"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1148\/rg.2020190112"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.3348\/kjr.2018.0931"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1148\/rg.220133"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2927101"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27178"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2022.06.003"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000769"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24187"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2024.12.021"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11547-022-01587-1"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.diii.2022.06.006"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000746"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000761"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A7664"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-015-3975-x"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A7391"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.2307\/2529310"},{"key":"e_1_3_2_21_2","first-page":"785","article-title":"Detection of brain metastases: comparison of contrast-enhanced MR with unenhanced MR and enhanced CT","volume":"11","author":"Sze G","year":"1990","unstructured":"Sze G, Milano E, Johnson C, et al. 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