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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Reproducibility Made Easy: A Tool for Methodological Transparency and Efficient Standardized Reporting Based on the
Antonia Susnjar1, Antonia Kaiser2, Dunja Simicic3,4
1Institute for Innovation in Imaging, Department of Radiology Massachusetts General Hospital and Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, USA.
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 (.7), Siemens (.ima, .rda, .dcm), Philips (.spar/.sdat), and Bruker (.method), and MRS-NIfTI (.nii/nii.gz/.json) files 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, translating complex header information into a comprehensive structure that adheres to consensus reporting standards, thereby 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 by just clicking one button. No coding knowledge is required, making the tool accessible to a wider range of users, including researchers and clinicians without programming expertise. This eliminates technical challenges related to data formatting and reporting. 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.
Insights
Reproducibility Made Easy (REMY) is a new software tool that helps researchers standardize reporting for magnetic resonance spectroscopy (MRS) studies. REMY simplifies data import and generates reports, improving the clinical applicability of MRS research.
Area of Science:
- Neuroimaging
- Medical Physics
- Biomedical Engineering
Background:
- Magnetic resonance spectroscopy (MRS) studies suffer from poor reproducibility, hindering clinical application due to a lack of standardized reporting.
- Existing minimum reporting standards (MRSinMRS) face slow implementation due to diverse vendor nomenclature, data formats, and lack of software tools.
- Challenges in data formatting and parameter identification impede the adoption of standardized reporting in MRS research.
Purpose of the Study:
- To develop a user-friendly software tool, REproducibility Made Easy (REMY), to address the challenges in standardizing MRS reporting.
- To facilitate the generation of comprehensive MRS study documentation adhering to MRSinMRS guidelines.
- To improve the reproducibility and clinical applicability of magnetic resonance spectroscopy research.
Main Methods:
- Developed REMY, a standalone toolbox supporting diverse MRS data formats from GE, Siemens, Philips, and Bruker, as well as MRS-NIfTI.
- Integrated external libraries (spec2nii, pymapVBVD) for accurate data parsing and header information extraction.
- Implemented a user-friendly interface for data import, vendor/format selection, and one-click generation of MRSinMRS tables, log files, and method documents (LaTeX/PDF).
Main Results:
- REMY successfully populated key MRSinMRS table fields, including hardware parameters (field strength, manufacturer, software version) and acquisition parameters (pulse sequence, voxel size, TR, TE, etc.).
- The software accurately processed data from multiple vendors and formats, translating complex information into a standardized structure.
- Limitations include the inability to input RF coil and additional hardware information due to their absence in the source files.
Conclusions:
- REMY effectively overcomes technical barriers in MRS data reporting, enabling easier adoption of MRSinMRS standards.
- The tool's accessibility to users without coding expertise promotes wider implementation of reproducible MRS research practices.
- REMY significantly contributes to generating standardized methodological documentation, enhancing the reliability and clinical utility of MRS studies.
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