Evidence map›Paper›PMID 39728759›Full record

ReviewNeurology international2024

Detecting Tumor-Associated Intracranial Hemorrhage Using Proton Magnetic Resonance Spectroscopy.

Hye Bin Yoo, Hyeong Hun Lee, Vincent Diong Weng Nga, Yoon Seong Choi, Jeong Hoon Lim

Abstract readReview
In one paragraph

Review in Neurology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Hye Bin YooInstitute for Data Innovation in Science, Seoul National University, Seoul 08826, Republic of Korea.
Hyeong Hun LeeMETLiT Inc., Seoul 08513, Republic of Korea.ORCID 0009-0009-5743-6087
Vincent Diong Weng NgaDivision of Neurosurgery, Department of Surgery, National University Hospital, Singapore 119228, Singapore.ORCID 0000-0001-5256-5669
Yoon Seong ChoiDepartment of Diagnostic Radiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119074, Singapore.
Jeong Hoon LimDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119074, Singapore.ORCID 0000-0002-4266-8709

Funding

National Research Foundation of Korea RS-2023-00301976National University Health System NR21MRF268
6 · The paper itself

Abstract

Intracranial hemorrhage associated with primary or metastatic brain tumors is a critical condition that requires urgent intervention, often through open surgery. Nevertheless, surgical interventions may not always be feasible due to two main reasons: (1) extensive hemorrhage can obscure the underlying tumor mass, limiting radiological assessment; and (2) intracranial hemorrhage may occasionally present as the first symptom of a brain tumor without prior knowledge of its existence. The current review of case studies suggests that advanced radiological imaging techniques can improve diagnostic power for tumoral hemorrhage. Adding proton magnetic resonance spectroscopy (1H-MRS), which profiles biochemical composition of mass lesions could be valuable: it provides unique information about tumor states distinct from hemorrhagic lesions bypassing the structural obliteration caused by the hemorrhage. Recent advances in 1H-MRS techniques may enhance the modality's reliability in clinical practice. This perspective proposes that 1H-MRS can be utilized in clinical settings to enhance diagnostic power in identifying tumors underlying intracranial hemorrhage.

Indexed as

brain tumorintracranial hemorrhageproton magnetic resonance spectroscopytumoral hemorrhage

Identifiers

PMID39728759
PMCPMC11679972

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Registered trials

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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.