Evidence map›Paper›PMID 32479186›Full record

ArticleJCO clinical cancer informatics2020

PRISM: A Platform for Imaging in Precision Medicine.

Ashish Sharma, Lawrence Tarbox, Tahsin Kurc, Jonathan Bona, Kirk Smith, Pradeeban Kathiravelu, Erich Bremer, Joel H Saltz, Fred Prior

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology.Laboratory investigation; a journal of technical methods and pathology · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ashish SharmaEmory University School of Medicine, Atlanta, GA.
Lawrence TarboxUniversity of Arkansas for Medical Sciences, Little Rock, AR.
Tahsin KurcStony Brook University, Stony Brook, NY.
Jonathan BonaUniversity of Arkansas for Medical Sciences, Little Rock, AR.
Kirk SmithUniversity of Arkansas for Medical Sciences, Little Rock, AR.
Pradeeban KathiraveluEmory University School of Medicine, Atlanta, GA.
Erich BremerStony Brook University, Stony Brook, NY.
Joel H SaltzStony Brook University, Stony Brook, NY.
Fred PriorUniversity of Arkansas for Medical Sciences, Little Rock, AR.

Funding

TCIA Sustainment and Scalability - Platforms for Quantitative Imaging Informatics in Precision MedicineU24CA215109 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI BANERJEE, IMON, PRIOR, FRED WILLIAM · 2017 to 2021
$8.5M
NCI NIH HHS U24 CA215109
6 · The paper itself

Abstract

purposePrecision medicine requires an understanding of individual variability, which can only be acquired from large data collections such as those supported by the Cancer Imaging Archive (TCIA). We have undertaken a program to extend the types of data TCIA can support. This, in turn, will enable TCIA to play a key role in precision medicine research by collecting and disseminating high-quality, state-of-the-art, quantitative imaging data that meet the evolving needs of the cancer research community.

methodsA modular technology platform is presented that would allow existing data resources, such as TCIA, to evolve into a comprehensive data resource that meets the needs of users engaged in translational research for imaging-based precision medicine. This Platform for Imaging in Precision Medicine (PRISM) helps streamline the deployment and improve TCIA's efficiency and sustainability. More importantly, its inherent modular architecture facilitates a piecemeal adoption by other data repositories.

resultsPRISM includes services for managing radiology and pathology images and features and associated clinical data. A semantic layer is being built to help users explore diverse collections and pool data sets to create specialized cohorts. PRISM includes tools for image curation and de-identification. It includes image visualization and feature exploration tools. The entire platform is distributed as a series of containerized microservices with representational state transfer interfaces.

conclusionPRISM is helping modernize, scale, and sustain the technology stack that powers TCIA. Repositories can take advantage of individual PRISM services such as de-identification and quality control. PRISM is helping scale image informatics for cancer research at a time when the size, complexity, and demands to integrate image data with other precision medicine data-intensive commons are mounting.

Indexed as

Precision MedicineRadiologyDiagnostic ImagingHumansQuality Control

Identifiers

PMID32479186
PMCPMC7328100

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.