Evidence map›Paper›PMID 41801375›Full record

ReviewAbdominal radiology (New York)2026

Focal "Targetoid" liver lesions on MRI: a diagnostic and practical imaging approach.

Ignacio Maldonado Schoijet, Katerin Retamales Rojas, Giancarlo Schiappacasse Faundes, Montserrat Guachalla Figueroa, Christine Menias

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2026. 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
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. Review
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

5 authors.

Ignacio Maldonado SchoijetImaging Department, Body MRI-CT section, Clínica Alemana, Santiago, Chile. imaldonado@alemana.cl.
Katerin Retamales RojasImaging Department, Body MRI-CT section, Clínica Alemana, Santiago, Chile. katerinretamales@gmail.com.
Giancarlo Schiappacasse FaundesImaging Department, Body MRI-CT section, Clínica Alemana, Santiago, Chile.
Montserrat Guachalla FigueroaImaging Department, Body MRI-CT section, Clínica Alemana, Santiago, Chile.
Christine MeniasImaging Department, Body MRI-CT section, Mayo Clinic, Rochester, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targetoid liver lesions exhibit a characteristic MRI appearance, with differential signal intensity and enhancement between the central and peripheral components. This imaging pattern is observed across a wide range of benign, malignant, infectious, inflammatory, and vascular conditions. This educational pictorial essay aims to familiarize radiologists with the MRI spectrum of targetoid hepatic lesions and to introduce a practical diagnostic algorithm that integrates imaging findings with clinical context, thereby enhancing diagnostic accuracy in complex cases. MRI protocols include dynamic multiphase contrast-enhanced imaging with extracellular or hepatobiliary contrast agents, along with T2-weighted and diffusion-weighted sequences. Key imaging features, such as rim arterial-phase enhancement, delayed central enhancement, T2 target appearance, Targetoid appearence in diffusion restriction, and Targetoid appearance in the Transitional phase or Hepatobiliary phase with hepatobiliary contrast agents, are highlighted. By employing this structured approach, radiologists can interpret targetoid liver lesions with greater confidence and systematic precision, thereby supporting timely diagnosis and appropriate patient management.

Indexed as

Liver DiseasesLiver NeoplasmsMagnetic Resonance ImagingAlgorithmsContrast MediaDiagnosis, DifferentialDynamic Contrast Enhanced Magnetic Resonance ImagingHumansImage EnhancementContrast MediaCholangiocarcinomaDiagnosisHepatobiliary contrast agentsHepatocellular carcinomaLI-RADSLiver diseasesLiver neoplasmsMagnetic resonance imagingMetastasesTargetoid appearance

Identifiers

PMID41801375

What OpenQuestion holds

Textmetadata
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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.