Evidence map›Paper›PMID 38639807›Full record

ArticleJournal of imaging informatics in medicine2024

Real-Time Optimal Synthetic Inversion Recovery Image Selection (RT-OSIRIS) for Deep Brain Stimulation Targeting.

Vishal Patel, Shengzhen Tao, Xiangzhi Zhou, Chen Lin, Erin Westerhold, Sanjeet Grewal, Erik H Middlebrooks

Open access · greenAbstract read
In one paragraph

Article in Journal of imaging informatics in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

7 authors at 2 institutions in 1 country.

Vishal PatelDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA. patel.vishal@mayo.edu.ORCID 0000-0002-8704-5169
Shengzhen TaoDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Xiangzhi ZhouDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Chen LinDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Erin WesterholdDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Sanjeet GrewalDepartment of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA.
Erik H MiddlebrooksDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
WinnMed · USJacksonville College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep brain stimulation (DBS) is a method of electrical neuromodulation used to treat a variety of neuropsychiatric conditions including essential tremor, Parkinson's disease, epilepsy, and obsessive-compulsive disorder. The procedure requires precise placement of electrodes such that the electrical contacts lie within or in close proximity to specific target nuclei and tracts located deep within the brain. DBS electrode trajectory planning has become increasingly dependent on direct targeting with the need for precise visualization of targets. MRI is the primary tool for direct visualization, and this has led to the development of numerous sequences to aid in visualization of different targets. Synthetic inversion recovery images, specified by an inversion time parameter, can be generated from T

Indexed as

Deep Brain StimulationMagnetic Resonance ImagingAlgorithmsBrainHumansImage Processing, Computer-AssistedDeep brain stimulationGraphical user interfaceInversion recoverySynthetic magnetic resonance imaging

Identifiers

PMID38639807
PMCPMC11522263
OpenAlexW4394952920

What OpenQuestion holds

Textmetadata
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.