ArticleInternational journal of computer assisted radiology and surgery2019
A web-based multidisciplinary team meeting visualisation system.
Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 5 citations in OpenAlex.
- Multidisciplinary team diagnosis and treatment of pancreatic cancer: Current landscape and future prospects.Frontiers in oncology · 2023Review
- Streamlining Radiologist Workflow for Multidisciplinary Conferences: A Web-Based System to Represent Radiology.Journal of digital imaging · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
purposeMultidisciplinary team meetings (MDTs) are the standard of care for safe, effective patient management in modern hospital-based clinical practice. Medical imaging data are often the central discussion points in many MDTs, and these data are typically visualised, by all participants, on a common large display. We propose a Web-based MDT visualisation system (WMDT-VS) to allow individual participants to view the data on their own personal computing devices with the potential to customise the imaging data, i.e. different view of the data to that of the common display, for their particular clinical perspective.
methodsWe developed the WMDT-VS by leveraging the state-of-the-art Web technologies to support four MDT visualisation features: (1) 2D and 3D visualisations for multiple imaging modality data; (2) a variety of personal computing devices, e.g. smartphone, tablets, laptops and PCs, to access and navigate medical images individually and share the visualisations; (3) customised participant visualisations; and (4) the addition of extra local image data for visualisation and discussion.
resultsWe outlined these MDT visualisation features on two simulated MDT settings using different imaging data and usage scenarios. We measured compatibility and performances of various personal, consumer-level, computing devices.
conclusionsOur WMDT-VS provides a more comprehensive visualisation experience for MDT participants.
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.