Evidence map›Paper›PMID 35864349›Full record

ArticleEuropean radiology2023

Radiologic-pathologic correlation of lesions in resected liver specimens with an ex vivo MRI-compatible localization device.

Victoria R Rendell, Emily R Winslow, Timothy J Colgan, S Krisztian Kovacs, Matthias R Mühler, Gesine Knobloch, Agnes G Loeffler, Rashmi M Agni, Scott B Reeder

Open access · greenAbstract read
In one paragraph

Article in European radiology, 2023. 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
0.1field-weighted citation impact, top 54% 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, 1 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 2 institutions in 1 country.

Victoria R RendellDepartment of Surgery, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA.
Emily R WinslowDepartment of Surgery, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA.
Timothy J ColganDepartment of Radiology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA.
S Krisztian KovacsDepartment of Pathology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA.
Matthias R MühlerDepartment of Radiology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA.
Gesine KnoblochDepartment of Radiology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA.
Agnes G LoefflerDepartment of Pathology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA.
Rashmi M AgniDepartment of Pathology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA.
Scott B ReederDepartment of Radiology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53792, USA. sreeder@wisc.edu.ORCID http://orcid.org/0000-0003-4728-8171
University of Wisconsin–Madison · USMetroHealth · US

Funding

Evolution of Quantitative MRI Biomarkers of Metabolic Syndrome During PubertyK24DK102595 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2018
$927k
Direct Radiologic-Pathologic Correlation of Colorectal Liver Metastases with MR-Compatible Sectioning and Localization DeviceF32CA232352 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI RENDELL, VICTORIA · 2018 to 2018
$59k
NCI NIH HHS F32 CA232352NIDDK NIH HHS K24 DK102595NIH HHS K24 DK102595
6 · The paper itself

Abstract

objectiveLiver lesion characterization is limited by the lack of an established gold standard for precise correlation of radiologic characteristics with their histologic features. The objective of this study was to demonstrate the feasibility of using an ex vivo MRI-compatible sectioning device for radiologic-pathologic co-localization of lesions in resected liver specimens.

methodsIn this prospective feasibility study, adults undergoing curative partial hepatectomy from February 2018 to January 2019 were enrolled. Gadoxetic acid was administered intraoperatively prior to hepatic vascular inflow ligation. Liver specimens were stabilized in an MRI-compatible acrylic lesion localization device (27 × 14 × 14 cm

resultsA total of 57 lesions were identified radiologically and sectioned in liver specimens from 10 participants with liver metastases (n = 8), primary biliary mucinous cystic neoplasm (n = 1), and hepatic adenomatosis (n = 1). Of these, 38 lesions (67%) were < 1 cm. Overall, 52/57 (91%) of radiologically identified lesions were identified pathologically using the device. Of these, 5 lesions (10%) were not initially identified on gross examination but were confirmed histologically using MRI-guided localization. One lesion was identified grossly but not on MRI.

conclusionsWe successfully demonstrated the feasibility of a clinical method for image-guided co-localization and histological characterization of liver lesions using an ex vivo MRI-compatible sectioning device. KEY POINTS: • The ex vivo MRI-compatible sectioning device provides a reliable method for radiologic-pathologic correlation of small (< 1 cm) liver lesions in human liver specimens. • The sectioning method can be feasibly implemented within a clinical practice setting and used in future efforts to study liver lesion characterization. • Intraoperative administration of gadoxetic acid results in enhancement in ex vivo MRI images of liver specimens hours later with excellent image quality.

Indexed as

CystsLiver NeoplasmsAdultContrast MediaGadolinium DTPAHumansLiverMagnetic Resonance ImagingProspective StudiesContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPAFeasibility studiesGadoliniumLiver neoplasmsMagnetic resonance imagingPatient care team

Identifiers

PMID35864349
PMCPMC10876158
OpenAlexW4286492462

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.