Evidence map›Paper›PMID 30103108›Full record

ArticleClinical imaging

MRI liver fat quantification in an oncologic population: the added value of complex chemical shift-encoded MRI.

Giuseppe Corrias, Simone Krebs, Sarah Eskreis-Winkler, Davinia Ryan, Junting Zheng, Marinela Capanu, Luca Saba, Serena Monti, Maggie Fung, Scott Reeder and 1 more

Open access · greenAbstract read
In one paragraph

Article in Clinical imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

11 authors at 5 institutions in 2 countries.

Giuseppe CorriasDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; Department of Radiology, University of Cagliari, Via Università, 40, 09124 Cagliari, CA, Italy.
Simone KrebsDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Sarah Eskreis-WinklerDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Davinia RyanDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Junting ZhengDepartment of Statistics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Marinela CapanuDepartment of Statistics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Luca SabaDepartment of Radiology, University of Cagliari, Via Università, 40, 09124 Cagliari, CA, Italy.
Serena MontiIRCCS SDN, Naples, Italy.
Maggie FungGlobal MR Applications and Workflow, GE Healthcare, New York, NY, United States.
Scott ReederDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
Lorenzo MannelliDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA. Electronic address: mannellilorenzo@yahoo.it.
Memorial Sloan Kettering Cancer Center · USGE Global Research (United States) · USSDN Istituto di Ricerca Diagnostica e Nucleare · ITUniversity of Cagliari · ITUniversity of Wisconsin–Madison · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
MSK Paul Calabresi Career Development Award for Clinical OncologyK12CA184746 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Omar Abdel-Wahab, Simon N. Powell · 2015 to 2026
$8.3M
NCI NIH HHS K12 CA184746NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

introductionChemotherapy prolongs the survival of patients with advanced and metastatic tumors. Since the liver plays an active role in the metabolism of chemotherapy agents, hepatic injury is a common adverse effect. The purpose of this study is to compare a novel quantitative chemical shift encoded magnetic resonance imaging (CSE-MRI) method with conventional T1-weighted In and Out of phase (T1 IOP) MR for evaluating the reproducibility of the methods in an oncologic population exposed to chemotherapy. MATERIALS AND

methodsThis retrospective study was approved by the institutional review board with a waiver for informed consent. The study included patients who underwent chemotherapy, no suspected liver iron overload, and underwent upper abdomen MRI. Two radiologists independently draw circular ROIsin the liver parenchyma. The fat fraction was calculated from IOP imaging and measured from IDEAL-IQ fat fraction maps. Two different equations were used to estimate fat with IOP sequences. Intra-class correlation coefficient and repeatability coefficient were estimated to evaluate agreement between two readers on iron level and fat fraction measurement.

resultsCSE-MRI showed a higher reliability in fat quantification compared with both IOP methods, with a substantially higher inter-reader agreement (0.961 vs 0.372). This has important clinical implications.

conclusionThe novel CSE-MRI method described here provides increased reproducibility and confidence in diagnosing hepatic steatosis in a oncologic clinical setting. IDEAL-IQ has been proved to be more reproducible than conventional IOP imaging.

Indexed as

AgedFatty LiverFemaleHumansLiverMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleMiddle AgedNeoplasmsReproducibility of ResultsRetrospective StudiesChemotherapyFat fractionIDEAL-IQLiverOncologic imagingPDFF

Identifiers

PMID30103108
PMCPMC6289595
OpenAlexW2887258843

What OpenQuestion holds

Textmetadata
LicenceTDM
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.