Tancia Pires, Saikiran Pendem, Jaseemudheen M M, Priyanka
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A total of 99 studies were included after a 2-step screening process. Data related to the technical factors and clinical application was charted.</p><p><strong>Summary: </strong>SyMRI provides quantitative maps and segmentation techniques comparable to conventional MRI and has demonstrated feasibility and applications across neuroimaging, musculoskeletal, abdominal and breast pathologies spanning the entire human lifespan, from prenatal development to advanced age. Certain drawbacks related to image quality have been encountered that can be overcome with technical advances, especially AI-based algorithms.</p><p><strong>Outlook: </strong>SyMRI has immense potential for being incorporated into routine imaging for various pathologies due to its added advantage of providing quantitative measurements for more robust diagnostic and prognostic work-up with faster acquisitions and greater post-processing options.</p>","PeriodicalId":11273,"journal":{"name":"Diagnosis","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technical aspects and clinical applications of synthetic MRI: a scoping review.\",\"authors\":\"Tancia Pires, Saikiran Pendem, Jaseemudheen M M, Priyanka\",\"doi\":\"10.1515/dx-2024-0168\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Synthetic magnetic resonance imaging (SyMRI) is a non-invasive, robust MRI technique that generates multiple contrast-weighted images by acquiring a single MRI sequence within a few minutes, along with quantitative maps, automatic brain segmentation, and volumetry. 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引用次数: 0
摘要
简介:合成磁共振成像(SyMRI)是一种非侵入性、鲁棒性的MRI技术,通过在几分钟内获取单个MRI序列,以及定量图、自动脑分割和体积测定,生成多个对比加权图像。自诞生以来,它经历了技术进步,并在各种器官和病理条件下进行了可行性测试。这篇范围综述全面地指出了关键的技术方面,并绘制了SyMRI广泛的临床应用/益处。内容:在PubMed, Scopus, Web of Science, Embase和CINAHL Ultimate五个数据库中进行了全面的搜索,使用与SyMRI相关的适当关键字。经过两步筛选,总共纳入了99项研究。将技术因素和临床应用相关数据绘制成图表。总结:SyMRI提供了与传统MRI相当的定量图和分割技术,并已证明了在整个人类生命周期(从产前发育到老年)的神经成像、肌肉骨骼、腹部和乳房病理方面的可行性和应用。与图像质量相关的某些缺陷可以通过技术进步来克服,特别是基于人工智能的算法。展望:SyMRI具有巨大的潜力,可用于各种病理的常规成像,因为它具有额外的优势,可以提供更可靠的诊断和预后工作的定量测量,具有更快的采集和更多的后处理选择。
Technical aspects and clinical applications of synthetic MRI: a scoping review.
Introduction: Synthetic magnetic resonance imaging (SyMRI) is a non-invasive, robust MRI technique that generates multiple contrast-weighted images by acquiring a single MRI sequence within a few minutes, along with quantitative maps, automatic brain segmentation, and volumetry. Since its inception, it has undergone technical advancements and has also been tested for feasibility in various organs and pathological conditions. This scoping review comprehensively pinpoints the critical technical aspects and maps the wide range of clinical applications/benefits of SyMRI.
Content: A comprehensive search was conducted across five databases, PubMed, Scopus, Web of Science, Embase, and CINAHL Ultimate, using appropriate keywords related to SyMRI. A total of 99 studies were included after a 2-step screening process. Data related to the technical factors and clinical application was charted.
Summary: SyMRI provides quantitative maps and segmentation techniques comparable to conventional MRI and has demonstrated feasibility and applications across neuroimaging, musculoskeletal, abdominal and breast pathologies spanning the entire human lifespan, from prenatal development to advanced age. Certain drawbacks related to image quality have been encountered that can be overcome with technical advances, especially AI-based algorithms.
Outlook: SyMRI has immense potential for being incorporated into routine imaging for various pathologies due to its added advantage of providing quantitative measurements for more robust diagnostic and prognostic work-up with faster acquisitions and greater post-processing options.
期刊介绍:
Diagnosis focuses on how diagnosis can be advanced, how it is taught, and how and why it can fail, leading to diagnostic errors. The journal welcomes both fundamental and applied works, improvement initiatives, opinions, and debates to encourage new thinking on improving this critical aspect of healthcare quality. Topics: -Factors that promote diagnostic quality and safety -Clinical reasoning -Diagnostic errors in medicine -The factors that contribute to diagnostic error: human factors, cognitive issues, and system-related breakdowns -Improving the value of diagnosis – eliminating waste and unnecessary testing -How culture and removing blame promote awareness of diagnostic errors -Training and education related to clinical reasoning and diagnostic skills -Advances in laboratory testing and imaging that improve diagnostic capability -Local, national and international initiatives to reduce diagnostic error