Evidence map›Paper›PMID 40176717›Full record

ArticleActa ophthalmologica2025

Estimating uveal melanoma volume with ellipsoid tumour models.

Lisa Klaassen, Teresa A Ferreira, Gregorius Luyten, Jan-Willem M Beenakker

Abstract read
In one paragraph

Article in Acta ophthalmologica, 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. Article
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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.

Lisa KlaassenDepartment of Ophthalmology, Leiden University Medical Center, Leiden, the Netherlands.ORCID https://orcid.org/0000-0001-9874-7206
Teresa A FerreiraDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Gregorius LuytenDepartment of Ophthalmology, Leiden University Medical Center, Leiden, the Netherlands.
Jan-Willem M BeenakkerDepartment of Ophthalmology, Leiden University Medical Center, Leiden, the Netherlands.

Funding

Varian Medical Systems 2020016
6 · The paper itself

Abstract

purposeEllipsoid tumour models are used to approximate the tumour volume of uveal melanomas, as the conventionally used ultrasound does not provide a three-dimensional visualization of the tumour. However, these models are a simplification of the actual tumour geometry. The aim of this study was to determine to what extent several of these frequently used ellipsoid tumour models accurately describe uveal melanoma volume.

methodsTumours were delineated on contrast-enhanced T1-weighted MRI for 70 uveal melanoma patients. The MRI-delineated volume was compared with three ellipsoid models, which used two-dimensional measurements such as thickness and basal diameters as input: half ellipsoids with round (V

resultsStatistically significant relative differences between MRI-delineated and model volume of 53 ± 32% (V

conclusionAll tumour models result in considerable systematic overestimations of tumour volume, with large variations in overestimation between patients. Adding the perpendicular basal diameter to the model decreases this variation. Although ellipsoid tumour models have been shown to be valuable on a group level, they should be used with caution for individual patients.

Indexed as

Magnetic Resonance ImagingMelanomaTumor BurdenUveal NeoplasmsAdultAgedAged, 80 and overFemaleHumansImaging, Three-DimensionalMaleMiddle AgedRetrospective StudiesUveal MelanomaMRIprognosisuveal melanomavolume

Identifiers

PMID40176717
PMCPMC12340202

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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.