Evidence map›Paper›PMID 39572196›Full record

ArticleAJNR. American journal of neuroradiology2025

Diagnostic Confidence of Contrast-Enhanced T1-Weighted MRI for the Detection of Brain Metastases: 3D FSE versus 3D GRE-Based Sequences.

Maria Gule-Monroe, Nathan Chasen, James P Long, Vinodh A Kumar, Komal Shah, Melissa Chen, Jason Stafford, Caroline Chung, Max Wintermark, Ping Hou and 4 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

14 authors.

Maria Gule-MonroeFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-4418-3705
Nathan ChasenFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas.
James P LongDepartment of Biostatistics (J.P.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-5853-5938
Vinodh A KumarFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-8322-1233
Komal ShahFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-2122-9413
Melissa ChenFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-3274-2653
Jason StaffordDepartment of Imaging Physics (J.S., P.H., H.-L.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-4091-8417
Caroline ChungDepartment of Radiation Oncology (C.C., C.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas.
Max WintermarkFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-6726-3951
Ping HouDepartment of Imaging Physics (J.S., P.H., H.-L.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-1518-571X
Ekta SuraDivision of Diagnostic Imaging (E.S.), The University of Texas MD Anderson Cancer Center, Houston, Texas.
Chenyang WangDepartment of Radiation Oncology (C.C., C.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jeffrey WeinbergDepartment of Neurosurgery (J.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-5587-6673
Ho-Ling LiuDepartment of Imaging Physics (J.S., P.H., H.-L.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas HLALiu@mdanderson.org.ORCID 0000-0002-0284-5889

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Convalescent Plasma to Limit Coronavirus Associated ComplicationsUL1TR003167 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KARP, DANIEL D, MCPHERSON, DAVID D · 2019 to 2023
$45.3M
NCATS NIH HHS UL1 TR003167NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

background and purposeThis retrospective study evaluated the utility of contrast-enhanced T1-weighted 3D fast spin-echo-based sampling perfection with application-optimized contrasts by using different flip angle evolutions (SPACE) sequences for brain metastasis detection on 3T MRI compared with a gradient-recalled echo-based 3D FLASH sequence. MATERIALS AND

methodsWe identified all patients at a single institution who underwent SPACE and 3D FLASH sequences as part of a practice quality-improvement project. Their medical records were retrospectively reviewed. Five certified neuroradiologists reviewed the images, with at least 2 weeks' separation between scoring sequences for the same patient. We evaluated the following parameters: number of metastatic lesions, number of indeterminate lesions, lesion margin, contrast-to-noise ratio (CNR), extent of image artifacts, and overall image quality. The CNR was also quantified for solidly enhancing lesions of >1 cm.

resultsWe identified 220 patients who underwent SPACE and 3D FLASH sequences (the order of the sequences was equally distributed). Of these, 79 had brain metastases on imaging, and 7 were excluded; thus, 72 patients were included in the study. Twenty patients were scored by 2 radiologists. Of the 92 evaluations, SPACE detected more lesions than 3D FLASH in 35, while 3D FLASH detected more lesions in 10. More indeterminate lesions were seen on 3D FLASH (

conclusionsCompared with 3D FLASH, the SPACE sequence detected more metastatic lesions and was rated higher for image quality, lesion margin, and CNR, with fewer artifacts. Importantly, the SPACE sequence resulted in increased reader confidence, with fewer indeterminate lesions detected.

Indexed as

Brain NeoplasmsImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingAdultAgedAged, 80 and overContrast MediaFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityContrast Media

Identifiers

PMID39572196
PMCPMC12152807

What OpenQuestion holds

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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.