{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T00:37:01Z","timestamp":1777509421498,"version":"3.51.4"},"reference-count":16,"publisher":"SAGE Publications","issue":"11","license":[{"start":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T00:00:00Z","timestamp":1752105600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acta Radiol"],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Higher-resolution magnetic resonance imaging sequences are needed for the early detection of pancreatic cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To compare the quality of our novel T2-weighted, high-contrast, thin-slice imaging sequence, with an improved spatial resolution and deep learning-based reconstruction (three-shot turbo spin-echo with deep learning-based reconstruction [3S-TSE-DLR]), for imaging the pancreas with imaging using three conventional sequences (half-Fourier acquisition single-shot turbo spin-echo [HASTE], fat-suppressed 3D T1-weighted [FS-3D-T1W] imaging, and magnetic resonance cholangiopancreatography [MRCP]).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>Pancreatic images of 50 healthy volunteers acquired with 3S-TSE-DLR, HASTE, FS-3D-T1W imaging, and MRCP were compared by two diagnostic radiologists. A 5-point scale was used for assessing motion artifacts, pancreatic margin sharpness, and the ability to identify the main pancreatic duct (MPD) on 3S-TSE-DLR, HASTE, and FS-3D-T1W imaging, respectively. The ability to identify MPD via MRCP was also evaluated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Artifact scores (the higher the score, the fewer the artifacts) were significantly higher for 3S-TSE-DLR than for HASTE, and significantly lower for 3S-TSE-DLR than for FS-3D-T1W imaging, for both radiologists. Sharpness scores were significantly higher for 3S-TSE-DLR than for HASTE and FS-3D-T1W imaging, for both radiologists. The rate of identification of MPD was significantly higher for 3S-TSE-DLR than for FS-3D-T1W imaging, for both radiologists, and significantly higher for 3S-TSE-DLR than for HASTE for one radiologist. The rate of identification of MPD was not significantly different between 3S-TSE-DLR and MRCP.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>3S-TSE-DLR provides better image sharpness than conventional sequences, can identify MPD equally as well or better than HASTE, and shows identification performance comparable to that of MRCP.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02841851251355844","type":"journal-article","created":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T06:31:36Z","timestamp":1752215496000},"page":"1184-1191","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["MRI sequence focused on pancreatic morphology evaluation: three-shot turbo spin-echo with deep learning-based reconstruction"],"prefix":"10.1177","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5550-2348","authenticated-orcid":false,"given":"Yoshisuke","family":"Kadoya","sequence":"first","affiliation":[{"name":"Toyama Prefectural Central Hospital"},{"name":"Ishikawa Prefectural Central Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kentaro","family":"Mochizuki","sequence":"additional","affiliation":[{"name":"Toyama Prefectural Central Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akihiro","family":"Asano","sequence":"additional","affiliation":[{"name":"Toyama Prefectural Central Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kosuke","family":"Miyakawa","sequence":"additional","affiliation":[{"name":"Toyama Prefectural Central Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mao","family":"Kanatani","sequence":"additional","affiliation":[{"name":"Toyama Prefectural Central Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junko","family":"Saito","sequence":"additional","affiliation":[{"name":"Toyama Prefectural Central Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hitoshi","family":"Abo","sequence":"additional","affiliation":[{"name":"Toyama Prefectural Central Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,7,10]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1097\/01.pas.0000126675.59108.80"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1097\/MPA.0b013e318258055c"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00428-005-0032-1"},{"key":"e_1_3_3_5_2","first-page":"1067","article-title":"Multifocal neoplastic precursor lesions associated with lobular atrophy of the pancreas in patients having a strong family history of pancreatic cancer","volume":"30","author":"Brune K","year":"2006","unstructured":"Brune K, Abe T, Canto M, et al. Multifocal neoplastic precursor lesions associated with lobular atrophy of the pancreas in patients having a strong family history of pancreatic cancer. Am J Surg Pathol 2006;30:1067\u20131076.","journal-title":"Am J Surg Pathol"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.21.26014"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1136\/gut.2007.145631"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.193.3.7972808"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1262-3636(07)70111-8"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.25259\/JCIS_158_2021"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26977"},{"key":"e_1_3_3_12_2","first-page":"29","article-title":"Deep Resolve\u2013Mobilizing the Power of Networks","volume":"1","author":"Behl N","year":"2021","unstructured":"Behl N. Deep Resolve\u2013Mobilizing the Power of Networks. MAGNETOM Flash 2021; 1: 29\u201335.","journal-title":"MAGNETOM Flash"},{"key":"e_1_3_3_13_2","volume-title":"Classification of Pancreatic Carcinoma. 4th English ed","author":"Japanese Pancreas Society","year":"2017","unstructured":"Japanese Pancreas Society. Classification of Pancreatic Carcinoma. 4th English ed. Tokyo: Kanehara & Co., Ltd., 2017."},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2022.04.005"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000943"},{"key":"e_1_3_3_16_2","article-title":"Utility of thin-slice fat-suppressed single-shot T2-weighted MR imaging with deep learning image reconstruction as a protocol for evaluating the pancreas","author":"Shimada R","year":"2024","unstructured":"Shimada R, Sofue K, Ueno Y, et al. Utility of thin-slice fat-suppressed single-shot T2-weighted MR imaging with deep learning image reconstruction as a protocol for evaluating the pancreas. Magn Reson Med Sci 2024; Epub ahead of print.","journal-title":"Magn Reson Med Sci"},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.4329\/wjr.v15.i12.338"}],"container-title":["Acta Radiologica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/02841851251355844","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/02841851251355844","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/02841851251355844","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T15:34:44Z","timestamp":1777390484000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/02841851251355844"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,10]]},"references-count":16,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["10.1177\/02841851251355844"],"URL":"https:\/\/doi.org\/10.1177\/02841851251355844","relation":{},"ISSN":["0284-1851","1600-0455"],"issn-type":[{"value":"0284-1851","type":"print"},{"value":"1600-0455","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,10]]}}}