Evidence map›Paper›PMID 27899330›Full record

ArticleMagnetic resonance imaging2017

MR visible localization device for radiographic-pathologic correlation of surgical specimens.

Sonja Kinner, Tilman B Schubert, Elisabetta A Nocerino, Shannon Hynes, Timothy J Colgan, Agnes G Loeffler, Christopher Brace, Scott B Reeder, Emily Winslow

Open access · greenAbstract readTechnical Report
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance imaging, 2017. 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, top 81% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

9 authors at 1 institution in 3 countries.

Sonja KinnerDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, USA; Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Germany. Electronic address: SKinner@uwhealth.org.
Tilman B SchubertDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, USA; Clinic of Radiology and Nuclear Medicine, Basel University Hospital, Basel, Switzerland.
Elisabetta A NocerinoDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
Shannon HynesDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Timothy J ColganDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.
Agnes G LoefflerPathology Clinic, University of Wisconsin-Madison, Madison, WI, USA.
Christopher BraceDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.
Scott B ReederDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA; Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, USA.
Emily WinslowDepartment of Surgery, University of Wisconsin-Madison, Madison, WI, USA.
University of Wisconsin–Madison · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Volumetric Perfusion MRI of Liver Tumors to Detect Early Response to ChemotherapyRC1EB010384 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2009 to 2010
$973k
Evolution of Quantitative MRI Biomarkers of Metabolic Syndrome During PubertyK24DK102595 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2018
$927k
NCATS NIH HHS UL1 TR000427NIBIB NIH HHS RC1 EB010384NIDDK NIH HHS K24 DK102595
6 · The paper itself

Abstract

purposeThe detection of small parenchymal hepatic lesions identified by preoperative imaging remains a challenge for traditional pathologic methods in large specimens. We developed a magnetic resonance imaging (MRI) compatible localization device for imaging of surgical specimens aimed to improve identification and localization of hepatic lesions ex vivo. MATERIALS AND

methodsThe device consists of two stationary and one removable MR-visible grids lined with silicone gel, creating an orthogonal 3D matrix for lesion localization. To test the device, five specimens of swine liver with a random number of lesions created by microwave ablation were imaged on a 3T MR scanner. Two readers independently evaluated lesion coordinates and size, which were then correlated with sectioning guided by MR imaging.

resultsAll lesions (n=38) were detected at/very close to the expected localization. Inter-reader agreement of lesion localization was almost perfect (0.92). The lesion size estimated by MRI matched macroscopic lesion size in cut specimen (±2mm) in 34 and 35, respectively, out of 38 lesions.

conclusionUse of this MR compatible device for ex vivo imaging proved feasible for detection and three-dimensional localization of liver lesions, and has potential to play an important role in the ex vivo examination of surgical specimens in which pathologic correlation is clinically important.

Indexed as

Catheter AblationAnimalsLiverMagnetic Resonance ImagingSwineCharacterizationDetectionEx vivoSmall lesions

Identifiers

PMID27899330
PMCPMC5538025
OpenAlexW2556062078

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.