Evidence map›Paper›PMID 30854438›Full record

ArticleTomography (Ann Arbor, Mich.)2019

Repeatability of Quantitative Diffusion-Weighted Imaging Metrics in Phantoms, Head-and-Neck and Thyroid Cancers: Preliminary Findings.

Ramesh Paudyal, Amaresha Shridhar Konar, Nancy A Obuchowski, Vaios Hatzoglou, Thomas L Chenevert, Dariya I Malyarenko, Scott D Swanson, Eve LoCastro, Sachin Jambawalikar, Michael Z Liu and 4 more

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

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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

14 authors.

Ramesh PaudyalDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY.
Amaresha Shridhar KonarDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY.
Nancy A ObuchowskiDepartment of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, OH.
Vaios HatzoglouDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Thomas L ChenevertDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Dariya I MalyarenkoDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Scott D SwansonDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Eve LoCastroDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY.
Sachin JambawalikarDepartment of Radiology, Columbia University Irving Medical Center, and New York Presbyterian Hospital, New York, NY.
Michael Z LiuDepartment of Radiology, Columbia University Irving Medical Center, and New York Presbyterian Hospital, New York, NY.
Lawrence H SchwartzDepartment of Radiology, Columbia University Irving Medical Center, and New York Presbyterian Hospital, New York, NY.
R Michael TuttleDepartments of Medicine, and.
Nancy LeeRadiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY.
Amita Shukla-DaveDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
SPORE in Thyroid CancerP50CA172012 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI FAGIN, JAMES A · 2014 to 2018
$10.3M
Quantitative DW-MRI for Early Breast Cancer Treatment Response AssessmentU01CA166104 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHENEVERT, THOMAS L, GALBAN, CRAIG J · 2012 to 2019
$4.1M
Quantitative imaging tools to derive DW-MRI oncological biomarkersU01CA211205 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI DAVE, AMITA, SCHWARTZ, LAWRENCE H · 2017 to 2021
$3.4M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA172012NCI NIH HHS U01 CA166104NCI NIH HHS U01 CA211205
6 · The paper itself

Abstract

The aim of this study was to establish the repeatability measures of quantitative Gaussian and non-Gaussian diffusion metrics using diffusion-weighted imaging (DWI) data from phantoms and patients with head-and-neck and papillary thyroid cancers. The Quantitative Imaging Biomarker Alliance (QIBA) DWI phantom and a novel isotropic diffusion kurtosis imaging phantom were scanned at 3 different sites, on 1.5T and 3T magnetic resonance imaging systems, using standardized multiple b-value DWI acquisition protocol. In the clinical component of this study, a total of 60 multiple b-value DWI data sets were analyzed for test-retest, obtained from 14 patients (9 head-and-neck squamous cell carcinoma and 5 papillary thyroid cancers). Repeatability of quantitative DWI measurements was assessed by within-subject coefficient of variation (wCV%) and Bland-Altman analysis. In isotropic diffusion kurtosis imaging phantom vial with 2% ceteryl alcohol and behentrimonium chloride solution, the mean apparent diffusion (D

Indexed as

Phantoms, ImagingAdultAgedDiffusion Magnetic Resonance ImagingFemaleHead and Neck NeoplasmsHumansImage Interpretation, Computer-AssistedMaleMiddle AgedReproducibility of ResultsSquamous Cell Carcinoma of Head and NeckThyroid Neoplasmscancerdiffusion-weighted imaginghead and neck cancerquantitative Imagingrepeatabilitythyroidwithin-subject coefficient of variation

Identifiers

PMID30854438
PMCPMC6403035

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.