Evidence map›Paper›PMID 26496556›Full record

ArticleAJR. American journal of roentgenology2015

Performance of Apparent Diffusion Coefficient Values and Conventional MRI Features in Differentiating Tumefactive Demyelinating Lesions From Primary Brain Neoplasms.

Marc C Mabray, Benjamin A Cohen, Javier E Villanueva-Meyer, Francisco E Valles, Ramon F Barajas, James L Rubenstein, Soonmee Cha

Abstract read
In one paragraph

Article in AJR. American journal of roentgenology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Review of Radiologic Considerations in an Immunocompetent Patient With Primary Central Nervous System Lymphoma.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2019
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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

7 authors.

Marc C Mabray1 Department of Radiology and Biomedical Imaging, University of California at San Francisco, 350 Parnassus Ave, Box 0336, Ste 307H, San Francisco, CA 94143-0628.
Benjamin A Cohen1 Department of Radiology and Biomedical Imaging, University of California at San Francisco, 350 Parnassus Ave, Box 0336, Ste 307H, San Francisco, CA 94143-0628.
Javier E Villanueva-Meyer1 Department of Radiology and Biomedical Imaging, University of California at San Francisco, 350 Parnassus Ave, Box 0336, Ste 307H, San Francisco, CA 94143-0628.
Francisco E Valles1 Department of Radiology and Biomedical Imaging, University of California at San Francisco, 350 Parnassus Ave, Box 0336, Ste 307H, San Francisco, CA 94143-0628.
Ramon F Barajas1 Department of Radiology and Biomedical Imaging, University of California at San Francisco, 350 Parnassus Ave, Box 0336, Ste 307H, San Francisco, CA 94143-0628.
James L Rubenstein2 Department of Medicine, Division of Hematology/Oncology, University of California at San Francisco, San Francisco, CA.
Soonmee Cha1 Department of Radiology and Biomedical Imaging, University of California at San Francisco, 350 Parnassus Ave, Box 0336, Ste 307H, San Francisco, CA 94143-0628.

Funding

Biomedical Imaging for Clinician ScientistsT32EB001631 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THOMAS M LINK · 2005 to 2026
$5.6M
NIBIB NIH HHS 5T32EB001631-10NIBIB NIH HHS T32 EB001631
6 · The paper itself

Abstract

objectiveTumefactive demyelinating lesions (TDLs) remain one of the most common brain lesions to mimic a brain tumor, particularly primary CNS lymphoma (PCNSL) and high-grade gliomas. The purpose of our study was to evaluate the ability of apparent diffusion coefficient (ADC) values and conventional MRI features to differentiate TDLs from PCNSLs and high-grade gliomas. MATERIALS AND

methodsSeventy-five patients (24 patients with TDLs, 28 with PCNSLs, and 23 with high-grade gliomas) with 168 brain lesions (70 TDLs, 68 PCNSLs, and 30 high-grade gliomas) who underwent DWI before surgery or therapy were included in the study. Minimum ADC (ADC(min)) and average ADC (ADC(avg)) values were calculated for each lesion. ANOVA and ROC analyses were performed. ROC analyses were also performed for the presence of incomplete rim enhancement and for the number of lesions. Multiple-variable logistic regression with ROC analysis was then performed to evaluate performance in multiple-variable models.

resultsADC(min) was statistically significantly higher (p < 0.01) in TDLs (mean, 0.886; 95% CI, 0.802-0.931) than in PCNSLs (0.547; 95% CI, 0.496-0.598) and high-grade gliomas (0.470; 95% CI, 0.385-0.555). (All ADC values in this article are reported in units of × 10(-3) mm(2)/s.) ADC(avg) was statistically significantly higher (p < 0.01) in TDLs (mean, 1.362; 95% CI, 1.268-1.456) than in PCNSLs (0.990; 95% CI, 0.919-1.061) but not in high-grade gliomas (1.216; 95% CI, 1.074-1.356). Multiple-variable models showed statistically significant individual effects and superior diagnostic performance on ROC analysis.

conclusionTDLs can be diagnosed on preoperative MRI with a high degree of specificity; MRI features of incomplete rim enhancement, high ADC values, and a large number of lesions individually increase the probability and diagnostic confidence that a lesion is a TDL.

Indexed as

AdolescentAdultAgedAged, 80 and overBrain NeoplasmsContrast MediaDemyelinating DiseasesDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleGliomaHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMaleMiddle AgedContrast Mediaapparent diffusion coefficient (ADC)diffusionprimary CNS lymphoma (PCNSL)tumefactive demyelinating lesion (TDL)tumefactive demyelination

Identifiers

PMID26496556
PMCPMC4679155

What OpenQuestion holds

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Read underepoch 390

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.