Evidence map›Paper›PMID 40070486›Full record

ArticleFrontiers in neuroimaging2025

Initial insights into post-contrast enhancement in ultra-low-field MRI: Case Report.

Ahmed Altaf, Muhammad Sami Alam, Sibgha Khan, Ali Azan, Fatima Mubarak, Edmond Knopp, Khan Siddiqui, Syed Ather Enam

RetractedAbstract readCase ReportsRetracted Publication
In one paragraph

Article in Frontiers in neuroimaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Ahmed AltafDepartment of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan.
Muhammad Sami AlamDepartment of Radiology, King Fahad Hospital, Medina, Saudi Arabia.
Sibgha KhanDepartment of Radiology, Aga Khan University Hospital, Karachi, Pakistan.
Ali AzanMedical College, Aga Khan University, Karachi, Pakistan.
Fatima MubarakDepartment of Radiology, Aga Khan University Hospital, Karachi, Pakistan.
Edmond KnoppHyperfine, Inc., Guilford, CT, United States.
Khan SiddiquiHyperfine, Inc., Guilford, CT, United States.
Syed Ather EnamDepartment of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain tumors represent a significant burden, particularly in low- and middle-income countries (LMICs) where access to neuroimaging techniques is often limited. Conventional MRI machines are expensive and bulky, posing a significant challenge in the diagnosis and treatment of brain tumors in LMICs. However, an emerging technology, ultra-low field magnetic resonance imaging (pULF-MRI), has the potential to address this limitation. This study aimed to evaluate the feasibility and effectiveness of post-contrast enhancement in a pULF-MRI scanner for brain tumor imaging in LMICs. A single case study was conducted, and post-contrast enhancement was successfully achieved, revealing the presence of a tumor which was subsequently confirmed on biopsy. To our knowledge, this is the first study to demonstrate the feasibility of post-contrast enhancement in a pULF-MRI scanner for brain tumor imaging. This technology has the potential to significantly improve access to neuroimaging in LMICs, leading to earlier diagnosis and more effective treatment of brain tumors. These promising results suggest that further studies are warranted to explore the potential of pULF-MRI for large-scale screening and diagnosis of brain tumors in LMICs. This can provide a future roadmap for neuroimaging in LMICs, providing a cost-effective and accessible way to diagnose and treat brain tumors, leading to improved healthcare outcomes with a further prospective clinical trial.

Indexed as

brain tumorsmagnetic resonance imaging (MRI)neuro-oncologypost-contrast enhancementultra-low field MRI (pULF-MRI)

Identifiers

PMID40070486
PMCPMC11893822

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.