Evidence map›Paper›PMID 29593520›Full record

ArticleFrontiers in neuroinformatics2018

IClinfMRI Software for Integrating Functional MRI Techniques in Presurgical Mapping and Clinical Studies.

Ai-Ling Hsu, Ping Hou, Jason M Johnson, Changwei W Wu, Kyle R Noll, Sujit S Prabhu, Sherise D Ferguson, Vinodh A Kumar, Donald F Schomer, John D Hazle and 2 more

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Functional blindsight and its diagnosis.Frontiers in neurology · 2024
    Article
  7. aXonica: A support package for MRI based Neuroimaging.Biotechnology notes (Amsterdam, Netherlands) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. The role of resting-state functional MRI for clinical preoperative language mapping.Cancer imaging : the official publication of the International Cancer Imaging Society · 2020
    Article
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

12 authors.

Ai-Ling HsuDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Ping HouDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Jason M JohnsonDepartment of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Changwei W WuGraduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan.
Kyle R NollSection of Neuropsychology, Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Sujit S PrabhuDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Sherise D FergusonDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Vinodh A KumarDepartment of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Donald F SchomerDepartment of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
John D HazleDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Jyh-Horng ChenGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Ho-Ling LiuDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Task-evoked and resting-state (rs) functional magnetic resonance imaging (fMRI) techniques have been applied to the clinical management of neurological diseases, exemplified by presurgical localization of eloquent cortex, to assist neurosurgeons in maximizing resection while preserving brain functions. In addition, recent studies have recommended incorporating cerebrovascular reactivity (CVR) imaging into clinical fMRI to evaluate the risk of lesion-induced neurovascular uncoupling (NVU). Although each of these imaging techniques possesses its own advantage for presurgical mapping, a specialized clinical software that integrates the three complementary techniques and promptly outputs the analyzed results to radiology and surgical navigation systems in a clinical format is still lacking. We developed the Integrated fMRI for Clinical Research (IClinfMRI) software to facilitate these needs. Beyond the independent processing of task-fMRI, rs-fMRI, and CVR mapping, IClinfMRI encompasses three unique functions: (1) supporting the interactive rs-fMRI mapping while visualizing task-fMRI results (or results from published meta-analysis) as a guidance map, (2) indicating/visualizing the NVU potential on analyzed fMRI maps, and (3) exporting these advanced mapping results in a Digital Imaging and Communications in Medicine (DICOM) format that are ready to export to a picture archiving and communication system (PACS) and a surgical navigation system. In summary, IClinfMRI has the merits of efficiently translating and integrating state-of-the-art imaging techniques for presurgical functional mapping and clinical fMRI studies.

Indexed as

cerebrovascular reactivityfunctional magnetic resonance imaging (fMRI)interactivepreoperative mappingpresurgical mappingresting statesoftwarevisualization

Identifiers

PMID29593520
PMCPMC5854683

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.