Evidence map›Paper›PMID 23970895›Full record

ArticleInternational journal of biomedical imaging2013

SIVIC: Open-Source, Standards-Based Software for DICOM MR Spectroscopy Workflows.

Jason C Crane, Marram P Olson, Sarah J Nelson

Abstract read
In one paragraph

Article in International journal of biomedical imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Clinical Translation of HyperpolarizedAJNR. American journal of neuroradiology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Data Format Standardization and DICOM Integration for HyperpolarizedJournal of imaging informatics in medicine · 2024
    Article
  9. Article
  10. Article
  11. Hyperpolarized [1-Magnetic resonance in medicine · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. HyperpolarizedNMR in biomedicine · 2021
    Article

2 more citing papers are in PubMed but not listed here.

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

3 authors.

Jason C CraneSurbeck Laboratory for Advanced Imaging, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94158-2330, USA.
Marram P Olson
Sarah J Nelson

Funding

Project 4: Multi-modality Metabolic Imaging for Monitoring Molecular Sub-types of GliomaP01CA118816 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joanna Phillips · 2007 to 2026
$44.7M
TR&D3: Open-Source Tools for Processing Hyperpolarized MR DataP41EB013598 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI John Kurhanewicz · 2011 to 2026
$19.9M
MR Metabolic Markers for Evaluation of Patients with Recurrent GliomaR01CA127612 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LI, YAN · 2008 to 2017
$3.8M
Translation and Evaluation of a Multiparametric Prostate Cancer 3T ExamR01CA137207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HURD, RALPH EUGENE, KURHANEWICZ, JOHN · 2010 to 2014
$2.6M
NCI NIH HHS P01 CA118816NCI NIH HHS R01 CA127612NCI NIH HHS R01 CA137207NIBIB NIH HHS P41 EB013598
6 · The paper itself

Abstract

Quantitative analysis of magnetic resonance spectroscopic imaging (MRSI) data provides maps of metabolic parameters that show promise for improving medical diagnosis and therapeutic monitoring. While anatomical images are routinely reconstructed on the scanner, formatted using the DICOM standard, and interpreted using PACS workstations, this is not the case for MRSI data. The evaluation of MRSI data is made more complex because files are typically encoded with vendor-specific file formats and there is a lack of standardized tools for reconstruction, processing, and visualization. SIVIC is a flexible open-source software framework and application suite that enables a complete scanner-to-PACS workflow for evaluation and interpretation of MRSI data. It supports conversion of vendor-specific formats into the DICOM MR spectroscopy (MRS) standard, provides modular and extensible reconstruction and analysis pipelines, and provides tools to support the unique visualization requirements associated with such data. Workflows are presented which demonstrate the routine use of SIVIC to support the acquisition, analysis, and delivery to PACS of clinical (1)H MRSI datasets at UCSF.

Identifiers

PMID23970895
PMCPMC3732592

What OpenQuestion holds

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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.