{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T14:07:48Z","timestamp":1765980468946,"version":"3.48.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,7,21]],"date-time":"2025-07-21T00:00:00Z","timestamp":1753056000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,7,21]],"date-time":"2025-07-21T00:00:00Z","timestamp":1753056000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"abstract":"Abstract<\/jats:title>\n \n Objective<\/jats:title>\n The prevalence of asymptomatic pancreatic cysts is increasing due to advances in imaging techniques. Among these, intraductal papillary mucinous neoplasms (IPMNs) are most common, with potential for malignant transformation, often necessitating close follow-up. This study evaluates novel MRI techniques for the assessment of IPMN.<\/jats:p>\n <\/jats:sec>\n \n Materials and methods<\/jats:title>\n \n From May to December 2023, 59 patients undergoing abdominal MRI were retrospectively enrolled. Examinations were conducted on 3-Tesla scanners using a Deep-Learning Accelerated Half-Fourier Single-Shot Turbo Spin-Echo (HASTE\n DL<\/jats:sub>\n ) and standard HASTE (HASTE\n S<\/jats:sub>\n ) sequence. Two readers assessed minimum detectable lesion size and lesion-to-parenchyma contrast quantitatively, and qualitative assessments focused on image quality. Statistical analyses included the Wilcoxon signed-rank and chi-squared tests.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n HASTE\n DL<\/jats:sub>\n demonstrated superior overall image quality (\n p<\/jats:italic>\n \u2009<\u20090.001), with higher sharpness and contrast ratings (\n p<\/jats:italic>\n \u2009<\u20090.001,\n p<\/jats:italic>\n \u2009=\u20090.112). HASTE\n DL<\/jats:sub>\n showed enhanced conspicuity of IPMN (\n p<\/jats:italic>\n \u2009<\u20090.001) and lymph nodes (\n p<\/jats:italic>\n \u2009<\u20090.001), with more frequent visualization of IPMN communication with the pancreatic duct (\n p<\/jats:italic>\n \u2009<\u20090.001). Visualization of complex features (dilated pancreatic duct, septa, and mural nodules) was superior in HASTE\n DL<\/jats:sub>\n (\n p<\/jats:italic>\n \u2009<\u20090.001). The minimum detectable cyst size was significantly smaller for HASTE\n DL<\/jats:sub>\n (4.17\u2009mm\u2009\u00b1\u20093.00 vs. 5.51\u2009mm\u2009\u00b1\u20094.75;\n p<\/jats:italic>\n \u2009<\u20090.001). Inter-reader agreement was for (\n \u043a<\/jats:italic>\n 0.936) for HASTE\n DL<\/jats:sub>\n , slightly lower (\n \u043a<\/jats:italic>\n 0.885) for HASTE\n S<\/jats:sub>\n .\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n \n HASTE\n DL<\/jats:sub>\n in IPMN imaging provides superior image quality and significantly reduced scan times. Given the increasing prevalence of IPMN and the ensuing clinical need for fast and precise imaging, HASTE\n DL<\/jats:sub>\n improves the availability and quality of patient care.\n <\/jats:p>\n <\/jats:sec>\n \n Key Points<\/jats:title>\n \n \n Question<\/jats:italic>\n <\/jats:bold>\n Are there advantages of deep-learning-accelerated MRI in imaging and assessing intraductal papillary mucinous neoplasms (IPMN)?<\/jats:italic>\n <\/jats:p>\n \n \n Findings<\/jats:italic>\n <\/jats:bold>\n Deep-Learning Accelerated Half-Fourier Single-Shot Turbo Spin-Echo (HASTE<\/jats:italic>\n \n DL<\/jats:italic>\n <\/jats:sub>\n )\n demonstrated superior image quality, improved conspicuity of \u201cworrisome features\u201d and detection of smaller cysts, with significantly reduced scan times.<\/jats:italic>\n <\/jats:p>\n \n \n Clinical relevance<\/jats:italic>\n <\/jats:bold>\n HASTEDL provides faster, high-quality MRI imaging, enabling improved diagnostic accuracy and timely risk stratification for IPMN, potentially enhancing patient care and addressing the growing clinical demand for efficient imaging of IPMN.<\/jats:italic>\n <\/jats:p>\n <\/jats:sec>\n \n Graphical Abstract<\/jats:title>\n <\/jats:sec>","DOI":"10.1007\/s00330-025-11857-x","type":"journal-article","created":{"date-parts":[[2025,7,21]],"date-time":"2025-07-21T18:25:59Z","timestamp":1753122359000},"page":"618-626","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Advances in IPMN imaging: deep learning-enhanced HASTE improves lesion assessment"],"prefix":"10.1007","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9843-2247","authenticated-orcid":false,"given":"Johannes","family":"Kolck","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"Pivetta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clarissa","family":"Hosse","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoyin","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Uli","family":"Fehrenbach","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Malinka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moritz","family":"Wagner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thula","family":"Walter-Rittel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominik","family":"Geisel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,21]]},"reference":[{"key":"11857_CR1","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.pan.2018.11.014","volume":"19","author":"G Zerboni","year":"2019","unstructured":"Zerboni G, Signoretti M, Crippa S, Falconi M, Arcidiacono PG, Capurso G (2019) Systematic review and meta-analysis: prevalence of incidentally detected pancreatic cystic lesions in asymptomatic individuals. 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