Evidence map›Paper›PMID 33064169›Full record

ReviewAbdominal radiology (New York)2020

Diffusion-weighted imaging and texture analysis: current role for diffuse liver disease.

Sofia Gourtsoyianni, Joao Santinha, Celso Matos, Nikolaos Papanikolaou

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06265272 (Technical Development and Clinical Validation of a Comprehensive One-stop Shop Assessment of the Cirrhotic Liver With [68Ga]Ga-PSMA-11 PET/MRI), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 18% 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.

NCT06265272 recruitingnot on this mapstarted 2023, after this paper: background citation

Technical Development and Clinical Validation of a Comprehensive One-stop Shop Assessment of the Cirrhotic Liver With [68Ga]Ga-PSMA-11 PET/MRI

TypeobservationalSponsorMassachusetts General HospitalRan2023 to 2026Enrolled45ConditionsLiver Cirrhosis, Hepatic Cell Carcinoma, Portal HypertensionArmsInjection of a gadolinium contrast agen, Radiotracer Injection, Imaging
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  3. Review
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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

4 authors at 2 institutions in 2 countries.

Sofia GourtsoyianniFirst Department of Radiology, University of Athens School of Medicine, "Areteion" Hospital, 11528, Athens, Greece.
Joao SantinhaComputational Clinical Imaging Group, Centre for the Unknown, Champalimaud Foundation, Av. Brasília, Doca de Pedrouços, 1400-038, Lisbon, Portugal.
Celso MatosDepartment of Radiology, Centre for the Unknown, Champalimaud Foundation, Lisbon, Portugal.
Nikolaos PapanikolaouComputational Clinical Imaging Group, Centre for the Unknown, Champalimaud Foundation, Av. Brasília, Doca de Pedrouços, 1400-038, Lisbon, Portugal. nickolas.papanikolaou@research.fchampalimaud.org.ORCID http://orcid.org/0000-0003-3298-2072
Champalimaud Foundation · PTNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiparametric MRI represents the primary imaging modality to assess diffuse liver disease, both in a qualitative and in a quantitative manner. Diffusion-weighted imaging (DWI) is among the imaging techniques that can be used to assess fibrosis due to its unique capability to assess microstructural changes at the tissue level. DWI is based on water mobility patterns and has the potential to become a non-invasive and non-destructive virtual biopsy to assess diffuse liver disease, overcoming sampling bias errors due to its three-dimensional imaging capabilities. Parallel to DWI, another quantitative method called texture analysis may be used to assess early and advanced diffused liver disease through quantifying spatial relationships in a global and local level, applying to any type of digital imaging technique like MRI or CT. Initial results using texture analysis hold great promise. In the current paper, we will review the role of DWI and texture analysis using MR images in assessing diffuse liver disease.

Indexed as

Diffusion Magnetic Resonance ImagingLiver DiseasesHumansMagnetic Resonance ImagingDiffuse liver diseaseDiffusion-weighted imagingQuantificationTexture analysis

Identifiers

PMID33064169
OpenAlexW3093433809

What OpenQuestion holds

Textmetadata
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.