Evidence map›Paper›PMID 16908548›Full record

SynthesisAJNR. American journal of neuroradiology2006

A systematic literature review of magnetic resonance spectroscopy for the characterization of brain tumors.

W Hollingworth, L S Medina, R E Lenkinski, D K Shibata, B Bernal, D Zurakowski, B Comstock, J G Jarvik

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in AJNR. American journal of neuroradiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
–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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  9. 82Rubidium chloride positron emission tomography discrimination of recurrent intracranial malignancy from radiation necrosis.The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of... · 2022
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  13. Analyzing magnetic resonance imaging data from glioma patients using deep learning.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2021
    Review
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  17. MultivoxelTomography (Ann Arbor, Mich.) · 2018
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  19. Evaluation of the added value ofNeuro-oncology practice · 2018
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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

8 authors.

W HollingworthDepartment of Radiology, University of Washington, 325 Ninth Avenue, Seattle, WA 98104, USA. willh@u.washington.edu
L S Medina
R E Lenkinski
D K Shibata
B Bernal
D Zurakowski
B Comstock
J G Jarvik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeProton MR spectroscopy ((1)H-MR spectroscopy) is a potentially useful adjunct to anatomic MR imaging in the characterization of brain tumors. We performed an updated systematic review of the evidence.

methodsWe employed a standardized search strategy to find studies published during 2002-2004. We reviewed studies measuring diagnostic accuracy and diagnostic, therapeutic, or health impact of (1)H-MR spectroscopy. We abstracted information on study design, (1)H-MR spectroscopy technique, and methodologic quality. We categorized studies into 5 subgroups: (1) metastasis versus high-grade tumor; (2) high-versus low-grade tumor; (3) recurrent tumor versus radiation necrosis; (4) tumor extent; and (5) tumor versus non-neoplastic lesion.

resultsWe identified 26 studies evaluating diagnostic performance, diagnostic impact, or therapeutic impact. No articles evaluated patient health or cost-effectiveness. Methodologic quality was mixed; most used histopathology as the reference standard but did not specify blinded interpretation of histopathology. One large study demonstrated a statistically significant increase in diagnostic accuracy for indeterminate brain lesions from 55%, based on MR imaging, to 71% after analysis of (1)H-MR spectroscopy. Several studies have found that (1)H-MR spectroscopy is highly accurate for distinguishing high- and low-grade gliomas, though the incremental benefit of (1)H-MR spectroscopy in this setting is less clear. Interpretation for the other clinical subgroups is limited by the small number of studies.

conclusionThe current evidence on the accuracy of (1)H-MR spectroscopy in the characterization of brain tumors is promising. However, additional high-quality studies are needed to convince policy makers. We present guidelines to help focus future research in this area.

Indexed as

AstrocytomaBrain NeoplasmsDiagnosis, DifferentialGlioblastomaHumansHydrogenMagnetic Resonance SpectroscopyNeoplasm Recurrence, LocalHydrogen

Identifiers

PMID16908548
PMCPMC7977543

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.