Evidence map›Paper›PMID 40310533›Full record

ReviewPediatric radiology2025

Magnetic resonance features in advanced retinoblastoma - what a paediatric radiologist needs to know.

Long Ching, Kin Fen Kevin Fung, Emily Suhan Wong, Jason Cheuk Sing Yam, Elaine Yee Ling Kan

Abstract readReview
In one paragraph

Review in Pediatric radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Neuro-interventional Radiology in Paediatric Patients: An Update.Cardiovascular and interventional radiology · 2025
    Review
  3. 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

5 authors.

Long ChingDepartment of Diagnostic and Interventional Radiology, Queen Elizabeth Hospital, 30 Gascoigne Road, Kowloon, Hong Kong, China. cl955@ha.org.hk.ORCID 0000-0002-5010-5711
Kin Fen Kevin FungDepartment of Radiology, Hong Kong Children's Hospital, Hong Kong, China.ORCID 0000-0002-2731-2915
Emily Suhan WongDepartment of Ophthalmology and Visual Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Jason Cheuk Sing YamDepartment of Ophthalmology and Visual Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Elaine Yee Ling KanDepartment of Radiology, Hong Kong Children's Hospital, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinoblastoma is the most common intra-ocular malignancy in children worldwide. Current treatment modalities include focal therapy such as laser or cryotherapy, intravenous chemotherapy, intra-arterial chemotherapy and surgical enucleation. According to the current retinoblastoma staging systems, there are a few common features indicating advanced disease stage, which can subsequently predict the prognosis and the necessity of surgical enucleation and adjuvant chemotherapy. This review uses annotated magnetic resonance (MR) images to illustrate these features, which include (1) retinal detachment, (2) vitreous and subretinal seeding, (3) choroidal invasion, (4) anterior segment invasion and increase in intra-ocular pressure, (5) iris neovascularization, (6) vitreous haemorrhage, (7) aseptic orbital cellulitis with lens dislocation, (8) post-laminar optic nerve invasion and (9) distant and systemic metastasis. Prompt identification of these features is important for paediatric radiologists to guide the clinical team for appropriate management.

Indexed as

Magnetic Resonance ImagingRetinal NeoplasmsRetinoblastomaChildHumansNeoplasm InvasivenessNeoplasm StagingMagnetic resonance imagingNeoplasm stagingPaediatricRetinal neoplasmRetinoblastoma

Identifiers

PMID40310533
PMCPMC12227343

What OpenQuestion holds

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Registered trials

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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.