ArticleRadiographics : a review publication of the Radiological Society of North America, Inc
MIRMAID: A Content Management System for Medical Image Analysis Research.
Article in Radiographics : a review publication of the Radiological Society of North America, Inc. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Clinical CT Data Infrastructure Provides Partial Support for an Operational Ontology for Radiology.Journal of imaging informatics in medicine · 2026Article
- Pilot deployment of a cloud-based universal medical image repository in a large public health system: A protocol study.PloS one · 2024Article
- XNAT-PIC: Extending XNAT to Preclinical Imaging Centers.Journal of digital imaging · 2022Article
- Open access image repositories: high-quality data to enable machine learning research.Clinical radiology · 2020Article
- A Good Practice-Compliant Clinical Trial Imaging Management System for Multicenter Clinical Trials: Development and Validation Study.JMIR medical informatics · 2019Article
- RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.Journal of digital imaging · 2019Review
- Reengineering Workflow for Curation of DICOM Datasets.Journal of digital imaging · 2018Article
- Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status.Journal of digital imaging · 2017Article
- An Assessment of Imaging Informatics for Precision Medicine in Cancer.Yearbook of medical informatics · 2017Review
- MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas.Medical physics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Today, a typical clinical study can involve thousands of participants, with imaging data acquired over several time points across multiple institutions. The additional associated information (metadata) accompanying these data can cause data management to be a study-hindering bottleneck. Consistent data management is crucial for large-scale modern clinical imaging research studies. If the study is to be used for regulatory submissions, such systems must be able to meet regulatory compliance requirements for systems that manage clinical image trials, including protecting patient privacy. Our aim was to develop a system to address these needs by leveraging the capabilities of an open-source content management system (CMS) that has a highly configurable workflow; has a single interface that can store, manage, and retrieve imaging-based studies; and can handle the requirement for data auditing and project management. We developed a Web-accessible CMS for medical images called Medical Imaging Research Management and Associated Information Database (MIRMAID). From its inception, MIRMAID was developed to be highly flexible and to meet the needs of diverse studies. It fulfills the need for a complete system for medical imaging research management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.