ArticleJournal of digital imaging2016
A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging.
Article in Journal of digital imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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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
26 citing papers in PubMed.
- Beyond the surface: A review of current and potential micro-CT applications in paleopathology.International journal of paleopathology · 2026Review
- OpenDicomViewer: A Lightweight Open-Source DICOM Viewer for macOS Built with Swift.Journal of imaging informatics in medicine · 2026Article
- Web-Based DICOM Viewers: A Survey and a Performance Classification.Journal of imaging informatics in medicine · 2025Article
- Novel Quantification Protocol for Cardiovascular Calcification Progression Using Longitudinal MicroPET/MicroCT Images.Journal of visualized experiments : JoVE · 2024Article
- BlueLight: An Open Source DICOM Viewer Using Low-Cost Computation Algorithm Implemented with JavaScript Using Advanced Medical Imaging Visualization.Journal of digital imaging · 2023Article
- Anthropometric study using three-dimensional pelvic CT scan in sex determination among adult Indonesian population.Forensic science, medicine, and pathology · 2023Observational
- [Correlation Analysis between Fat Fraction and Bone Mineral Density Using the DIXON Method for Fat Dominant Tissue in Knee Joint MRI: A Preliminary Study].Journal of the Korean Society of Radiology · 2023Article
- Article
- Combination of Cerebral Computed Tomography and Simplified Cardiac Arrest Hospital Prognosis (sCAHP) Score for Predicting Neurological Recovery in Cardiac Arrest Survivors.Reviews in cardiovascular medicine · 2023Article
- Towards an Established Intraoperative Oncological Favorable Tool: Results of Fluorescein-Guided Resection from a Monocentric, Prospective Series of 93 Primary Glioblastoma Patients.Journal of clinical medicine · 2022Article
- Pretransplant Psoas Muscle Cross-Sectional Area and Postkidney Transplant Outcomes.Transplantation proceedings · 2022Article
- Surgical data science - from concepts toward clinical translation.Medical image analysis · 2022Review
- The Time Has Come: a Paradigm Shift in Diagnostic Radiology Education via Simulation Training.Journal of digital imaging · 2021Article
- A Novel Virtual Reality Medical Image Display System for Group Discussions of Congenital Heart Disease: Development and Usability Testing.JMIR cardio · 2020Article
- Evaluation of Free, Open-source, Web-based DICOM Viewers for the Indian National Telemedicine Service (eSanjeevani).Journal of digital imaging · 2020Article
- Answer to the Letter to the Editor of Z. He et al. concerning "Comparison of cervical sagittal parameters among patients with neck pain and healthy controls: a comparative cross-sectional study" by Jouibari MF et al. (Eur Spine J; 2019: https://doi.org/10.1007/s00586-019-06117-8).European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2020Article
- Comprehensive Review of 3D Segmentation Software Tools for MRI Usable for Pelvic Surgery Planning.Journal of digital imaging · 2020Review
- Free DICOM-Viewers for Veterinary Medicine : Survey and Comparison of Functionality and User-Friendliness of Medical Imaging PACS-DICOM-Viewer Freeware for Specific Use in Veterinary Medicine Practices.Journal of digital imaging · 2020Article
- A Good Practice-Compliant Clinical Trial Imaging Management System for Multicenter Clinical Trials: Development and Validation Study.JMIR medical informatics · 2019Article
- Synchronization and Alignment of Follow-up Examinations: a Practical and Educational Approach Using the DICOM Reference Coordinate System.Journal of digital imaging · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The digital imaging and communications in medicine (DICOM) protocol is the leading standard for image data management in healthcare. Imaging biomarkers and image-based surrogate endpoints in clinical trials and medical registries require DICOM viewer software with advanced functionality for visualization and interfaces for integration. In this paper, a comprehensive evaluation of 28 DICOM viewers is performed. The evaluation criteria are obtained from application scenarios in clinical research rather than patient care. They include (i) platform, (ii) interface, (iii) support, (iv) two-dimensional (2D), and (v) three-dimensional (3D) viewing. On the average, 4.48 and 1.43 of overall 8 2D and 5 3D image viewing criteria are satisfied, respectively. Suitable DICOM interfaces for central viewing in hospitals are provided by GingkoCADx, MIPAV, and OsiriX Lite. The viewers ImageJ, MicroView, MIPAV, and OsiriX Lite offer all included 3D-rendering features for advanced viewing. Interfaces needed for decentral viewing in web-based systems are offered by Oviyam, Weasis, and Xero. Focusing on open source components, MIPAV is the best candidate for 3D imaging as well as DICOM communication. Weasis is superior for workflow optimization in clinical trials. Our evaluation shows that advanced visualization and suitable interfaces can also be found in the open source field and not only in commercial products.
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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.