Evidence map›Paper›PMID 39250118›Full record

ArticleInvestigative ophthalmology & visual science2024

Quantitative Perfusion-Weighted Magnetic Resonance Imaging in Uveal Melanoma.

Lisa Klaassen, Myriam G Jaarsma-Coes, Marina Marinkovic, Gregorius P M Luyten, Coen R N Rasch, Teresa A Ferreira, Jan-Willem M Beenakker

Abstract read
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Article in Investigative ophthalmology & visual science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

7 authors.

Lisa KlaassenLeiden University Medical Center, Department of Ophthalmology, Leiden, The Netherlands.
Myriam G Jaarsma-CoesLeiden University Medical Center, Department of Ophthalmology, Leiden, The Netherlands.
Marina MarinkovicLeiden University Medical Center, Department of Ophthalmology, Leiden, The Netherlands.
Gregorius P M LuytenLeiden University Medical Center, Department of Ophthalmology, Leiden, The Netherlands.
Coen R N RaschLeiden University Medical Center, Department of Radiation Oncology, Leiden, The Netherlands.
Teresa A FerreiraLeiden University Medical Center, Department of Radiology, Leiden, The Netherlands.
Jan-Willem M BeenakkerLeiden University Medical Center, Department of Ophthalmology, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Perfusion-weighted imaging (PWI; magnetic resonance imaging [MRI]) has been shown to provide valuable biological tumor information in uveal melanoma (UM). Clinically used semiquantitative methods do not account for tumor pigmentation and eye movement. We hypothesize that a quantitative PWI method that incorporates these, provides a more accurate description of tumor perfusion than the current clinical method. The aim of this study was to test this in patients with UM before and after radiotherapy. Methods: Perfusion-weighted 3T MRIs were retrospectively analyzed in 47 patients with UM before and after radiotherapy. Tofts pharmacokinetic modeling was performed to determine vascular permeability (Ktrans), extracellular extravascular space (ve), and reflux rate (kep). These were compared with semiquantitative clinical parameters including peak intensity and outflow percentage. Results: The effect of tumor pigmentation on peak intensity and outflow percentage was statistically significant (P < 0.01) and relative peak intensity was significantly different between melanotic and amelanotic tumors (1.5 vs. 1.9, P < 0.01). Before radiotherapy, median tumor Ktrans was 0.63 min-1 (range = 0.06-1.42 min-1), median ve was 0.23 (range = 0.09-0.63), and median kep was 2.3 min-1 (range = 0.6-5.0 min-1). After radiotherapy, 85% showed a decrease in Ktrans and kep (P < 0.01). Changes in tumor pigmentation before and after radiotherapy were small and not significant (median increase in T1 of 33 ms, P = 0.55). Conclusions: Quantitative PWI parameters decreased significantly after radiotherapy and can therefore can serve as an early biomarker for treatment response assessment. However, due to the nonsignificant changes in tumor pigmentation before and after radiotherapy, the current semiquantitative method appears to be sufficiently sensitive for detection of changes in tumor perfusion.

Indexed as

MelanomaUveal NeoplasmsAdultAgedAged, 80 and overFemaleHumansMagnetic Resonance AngiographyMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesUveal Melanoma

Identifiers

PMID39250118
PMCPMC11385876

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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.