Evidence map›Paper›PMID 26883327›Full record

SynthesisEuropean radiology2016

A meta-analysis of diffusion-weighted and gadoxetic acid-enhanced MR imaging for the detection of liver metastases.

Valérie Vilgrain, Maxime Esvan, Maxime Ronot, Aurore Caumont-Prim, Christophe Aubé, Gilles Chatellier

Registry-linked trialAbstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06753903 (Role of Photon Counting CT in Detecting Liver Metastatis From Colorectal Cancer), which is not on this map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
7.9field-weighted citation impact, top 2% 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.

NCT06753903 recruitingnot on this mapstarted 2025, after this paper: background citation

Role of Photon Counting CT in Detecting Liver Metastatis From Colorectal Cancer

TypeobservationalSponsorIRCCS San RaffaeleRan2025 to 2028Enrolled100ConditionsColorectal CancerArmsPCD-CT
3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 2 syntheses or guidelines pooled it, 160 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. MRI for restaging pancreatic cancer.Insights into imaging · 2026
    Article
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  6. Free-breathing phase-sensitive inversion recovery TMagnetic resonance in medicine · 2026
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  16. Review
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  20. Liver metastases: The role of magnetic resonance imaging.World journal of gastroenterology · 2023
    Review

5 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 1 country.

Valérie VilgrainDepartment of Radiology, Assistance Publique-Hôpitaux de Paris, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France. valerie.vilgrain@bjn.aphp.fr.
Maxime EsvanHôpital européen Georges-Pompidou, Unité d'Épidémiologie et de Recherche Clinique, 75015, Paris, France.
Maxime RonotDepartment of Radiology, Assistance Publique-Hôpitaux de Paris, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France.
Aurore Caumont-PrimHôpital européen Georges-Pompidou, Unité d'Épidémiologie et de Recherche Clinique, 75015, Paris, France.
Christophe AubéDepartment of Radiology, CHU d'Angers, Angers, France.
Gilles ChatellierHôpital européen Georges-Pompidou, Unité d'Épidémiologie et de Recherche Clinique, 75015, Paris, France.
Hôpital Européen · FRAssistance Publique – Hôpitaux de Paris · FRCentre Hospitalier Universitaire d'Angers · FRDélégation Paris 7 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo obtain the diagnostic performance of diffusion-weighted (DW) and gadoxetic-enhanced magnetic resonance (MR) imaging in the detection of liver metastases.

methodsA comprehensive search (EMBASE, PubMed, Cochrane) was performed to identify relevant articles up to June 2015. Inclusion criteria were: liver metastases, DW-MR imaging and/or gadoxetic acid-enhanced MR imaging, and per-lesion statistics. The reference standard was histopathology, intraoperative observation and/or follow-up. Sources of bias were assessed using the QUADAS-2 tool. A linear mixed-effect regression model was used to obtain sensitivity estimates.

resultsThirty-nine articles were included (1,989 patients, 3,854 metastases). Sensitivity estimates for DW-MR imaging, gadoxetic acid-enhanced MR imaging and the combined sequence for detecting liver metastases on a per-lesion basis was 87.1 %, 90.6 % and 95.5 %, respectively. Sensitivity estimates by gadoxetic acid-enhanced MR imaging and the combined sequence were significantly better than DW-MR imaging (p = 0.0001 and p < 0.0001, respectively), and the combined MR sequence was significantly more sensitive than gadoxetic acid-enhanced MR imaging (p < 0.0001). Similar results were observed in articles that compared the three techniques simultaneously, with only colorectal liver metastases and in liver metastases smaller than 1 cm.

conclusionsIn patients with liver metastases, combined DW-MR and gadoxetic acid-enhanced MR imaging has the highest sensitivity for detecting liver metastases on a per-lesion basis. KEY POINTS: • DW-MRI is less sensitive than gadoxetic acid-enhanced MRI for detecting liver metastases • DW-MRI and gadoxetic acid-enhanced MRI is the best combination • Same results are observed in colorectal liver metastases • Same results are observed in liver metastases smaller than 1 cm • Same results are observed when histopathology alone is the reference standard.

Indexed as

Contrast MediaGadolinium DTPAAdultAgedDiffusion Magnetic Resonance ImagingFemaleHumansImage EnhancementLiverLiver NeoplasmsMaleMiddle AgedSensitivity and SpecificityContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPALiverLiver metastases, diagnosisLiver metastases, meta-analysisLiver metastases, MR imagingMRI

Identifiers

PMID26883327
OpenAlexW2278957377

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.