Evidence map›Paper›PMID 39430391›Full record

ReviewNeuro-oncology advances2024

Advances in imaging modalities for spinal tumors.

Soichiro Takamiya, Anahita Malvea, Abdullah H Ishaque, Karlo Pedro, Michael G Fehlings

Abstract readReview
In one paragraph

Review in Neuro-oncology advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. CT delta-radiomics predicts the risks of blood transfusion and massive bleeding during spinal tumor surgery.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  4. 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

5 authors.

Soichiro TakamiyaDivision of Genetics and Development, Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada.
Anahita MalveaDivision of Neurosurgery and Spine Program, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Abdullah H IshaqueDivision of Neurosurgery and Spine Program, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Karlo PedroDivision of Neurosurgery and Spine Program, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Michael G FehlingsDivision of Genetics and Development, Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-5722-6364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spinal cord occupies a narrow region and is tightly surrounded by osseous and ligamentous structures; spinal tumors can damage this structure and deprive patients of their ability to independently perform activities of daily living. Hence, imaging is vital for the prompt detection and accurate diagnosis of spinal tumors, as well as determining the optimal treatment and follow-up plan. However, many clinicians may not be familiar with the imaging characteristics of spinal tumors due to their rarity. In addition, spinal surgeons might not fully utilize imaging for the surgical planning and management of spinal tumors because of the complex heterogeneity of these lesions. In the present review, we focus on conventional and advanced spinal tumor imaging techniques. These imaging modalities include computed tomography, positron emission tomography, digital subtraction angiography, conventional and microstructural magnetic resonance imaging, and high-resolution ultrasound. We discuss the advantages and disadvantages of conventional and emerging imaging modalities, followed by an examination of cutting-edge medical technology to complement current needs in the field of spinal tumors. Moreover, machine learning and artificial intelligence are anticipated to impact the application of spinal imaging techniques. Through this review, we discuss the importance of conventional and advanced spinal tumor imaging, and the opportunity to combine advanced technologies with conventional modalities to better manage patients with these lesions.

Indexed as

advanced imagingartificial intelligencediagnostic imagingintraoperative imagingspinal tumor

Identifiers

PMID39430391
PMCPMC11485884

What OpenQuestion holds

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LicenceCC BY-NC
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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.