Reproducibility Made Easy: A Tool for Methodological Transparency and Efficient Standardized Reporting based on the proposed MRSinMRS Consensus.

ArXiv Pub Date : 2024-08-06
Antonia Susnjar, Antonia Kaiser, Dunja Simicic, Gianna Nossa, Alexander Lin, Georg Oeltzschner, Aaron Gudmundson
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Abstract

Recent expert consensus publications have highlighted the issue of poor reproducibility in magnetic resonance spectroscopy (MRS) studies, mainly due to the lack of standardized reporting criteria, which affects their clinical applicability. To combat this, guidelines for minimum reporting standards (MRSinMRS) were introduced to aid journal editors and reviewers in ensuring the comprehensive documentation of essential MRS study parameters. Despite these efforts, the implementation of MRSinMRS standards has been slow, attributed to the diverse nomenclature used by different vendors, the variety of raw MRS data formats, and the absence of appropriate software tools for identifying and reporting necessary parameters. To overcome this obstacle, we have developed the REproducibility Made Easy (REMY) standalone toolbox. REMY software supports a range of MRS data formats from major vendors like GE (p. file), Siemens (twix, .rda, .dcm), Philips (.spar/.sdat), and Bruker (.method), facilitating easy data import and export through a user-friendly interface. REMY employs external libraries such as spec2nii and pymapVBVD to accurately read and process these diverse data formats, ensuring compatibility and ease of use for researchers in generating reproducible MRS research outputs. Users can select and import datasets, choose the appropriate vendor and data format, and then generate an MRSinMRS table, log file, and methodological documents in both Latex and PDF formats. REMY effectively populated key sections of the MRSinMRS table with data from all supported file types. Accurate generation of hardware parameters including field strength, manufacturer, and scanner software version were demonstrated. However, it could not input data for RF coil and additional hardware information due to their absence in the files. For the acquisition section, REMY accurately read and populated fields for the pulse sequence name, nominal voxel size, repetition time (TR), echo time (TE), number of acquisitions/excitations/shots, spectral width [Hz], and number of spectral points, significantly contributing to the completion of the Acquisition fields of the table. Furthermore, REMY generates a boilerplate methods text section for manuscripts.The use of REMY will facilitate more widespread adoption of the MRSinMRS checklist within the MRS community, making it easier to write and report acquisition parameters effectively.

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轻松实现可重复性:基于拟议的 MRSinMRS 共识的方法透明和高效标准化报告工具。
目的:最近发表的专家共识强调了磁共振波谱(MRS)研究中可重复性差的问题,这主要是由于缺乏标准化的报告标准,从而影响了其临床适用性。为了解决这个问题,我们推出了最低报告标准指南(MRSinMRS),以帮助期刊编辑和审稿人确保全面记录重要的 MRS 研究参数。尽管做出了这些努力,但 MRSinMRS 标准的实施一直进展缓慢,原因在于不同供应商使用的术语各不相同、原始 MRS 数据格式多种多样以及缺乏用于识别和报告必要参数的合适软件工具。为了克服这一障碍,我们开发了可重复性简化(REMY)独立工具箱:REMY 软件支持通用电气(p.file)、西门子(.twix、.rda、.dcm)、飞利浦(.spar/.sdat)和布鲁克(.method)等主要供应商提供的一系列 MRS 数据格式,通过用户友好的界面方便地导入和导出数据。REMY 采用 spec2nii 和 pymapVBVD 等外部库来准确读取和处理这些不同的数据格式,确保兼容性和易用性,方便研究人员生成可重复的 MRS 研究成果。用户可以选择和导入数据集,选择适当的供应商和数据格式,然后生成 Latex 和 PDF 格式的 MRSinMRS 表、日志文件和方法文档:REMY 从所有支持的文件类型中有效地填充了 MRSinMRS 表的关键部分。在硬件部分,它成功读取并填写了场强 [T]、制造商名称和软件版本字段,涵盖了五个必填硬件字段中的三个。但是,由于文件中没有射频线圈和其他硬件信息,它无法输入这些数据。在采集部分,REMY 准确读取并填充了脉冲序列名称、标称体素大小、重复时间、回波时间、采集/激发/拍摄次数、频谱宽度 [Hz] 和频谱点数等字段,为完成表格中的采集字段做出了重大贡献。此外,REMY 还能为稿件生成一个模板方法文本部分:这种方法减少了撰写和报告采集参数的工作量和障碍,应能促进 MRSinMRS 在 MRS 界的广泛应用。
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