Evidence map›Paper›PMID 32600415›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2020

Ventricular apparent diffusion coefficient measurements in patients with neoplastic leptomeningeal disease.

James M Debnam, Ryan B Said, Heng-Hsiao Liu, Jia Sun, Jihong Wang, Wei Wei, Dima Suki, Rory R Mayer, T Linda Chi, Leena Ketonen and 2 more

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In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

James M DebnamDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Blvd., Unit 1482, Houston, TX, 77030, USA. Matthew.Debnam@mdanderson.org.
Ryan B SaidDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Blvd., Unit 1482, Houston, TX, 77030, USA.
Heng-Hsiao LiuDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Blvd., Unit 1482, Houston, TX, 77030, USA.
Jia SunDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jihong WangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Wei WeiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Dima SukiDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Rory R MayerDepartment of Neurosurgery, University of California San Francisco, San Francisco, CA, USA.
T Linda ChiDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Blvd., Unit 1482, Houston, TX, 77030, USA.
Leena KetonenDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Blvd., Unit 1482, Houston, TX, 77030, USA.
Nandita Guha-ThakurtaDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Blvd., Unit 1482, Houston, TX, 77030, USA.
Jeffrey S WeinbergDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundTo test the hypothesis that intraventricular ADC values can be used to determine the presence of neoplastic leptomeningeal disease (LMD). MATERIALS AND

methodsADC values were measured at multiple sites in the ventricular system in 32 patients with cytologically-proven LMD and 40 control subjects. Multiple linear regression analysis was used to determine the mean difference of ADCs between the LMD and control groups after adjusting for ventricle size and tumor type. Receiver operating characteristics (ROC) analysis was performed and optimal ADC value cut-off point for predicting the presence of LMD. ADC was compared to T1 enhancement and FLAIR signal hyperintensity for determining the presence of LMD.

resultsAfter adjusting for ventricular volume and tumor type, the mid body of lateral ventricles showed no significant difference in ventricular volume and a significant difference in ADC values between the control and LMD groups (p > 0.05). In the mid-body of the right lateral ventricle the AUC was 0.69 (95% CI 0.57-0.81) with an optimal ADC cut off point of 3.22 × 10

conclusionComplex interactions affect ADC measurements in patients with LMD. ADC values in the lateral ventricles may provide non-invasive clues to the presence of LMD.

Indexed as

AdultAgedAlgorithmsDiffusion Magnetic Resonance ImagingFemaleHumansMaleMeningeal NeoplasmsMiddle AgedApparent diffusion coefficientCerebrospinal fluidMagnetic resonance imagingVentricles

Identifiers

PMID32600415
PMCPMC7322838

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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.