Evidence map›Paper›PMID 41687253›Full record

ArticlePhysics in medicine and biology2026

Quantification of dual-state 5-ALA-induced PpIX fluorescence: methodology and validation in tissue-mimicking phantoms.

Silvére Ségaud, Charlie Budd, Matthew Elliot, Graeme J Stasiuk, Jonathan Shapey, Yijing Xie, Tom Vercauteren

Abstract readValidation Study
In one paragraph

Article in Physics in medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Silvére SégaudResearch Department of Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.
Charlie BuddResearch Department of Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.
Matthew ElliotResearch Department of Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0000-0003-4111-9414
Graeme J StasiukResearch Department of Imaging Chemistry & Biology, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.
Jonathan ShapeyResearch Department of Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.
Yijing XieResearch Department of Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0000-0002-3432-8587
Tom VercauterenResearch Department of Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, United Kingdom.ORCID 0000-0003-1794-0456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantification of protoporphyrin IX (PpIX) fluorescence in human brain tumours has the potential to significantly improve patient outcomes in neuro-oncology, but represents a formidable imaging challenge. Protoporphyrin is a biological molecule which interacts with the tissue micro-environment to form two photochemical states in glioma. Each exhibits markedly different quantum efficiencies, with distinct but overlapping emission spectra that also overlap with tissue autofluorescence. Fluorescence emission is known to be distorted by the intrinsic optical properties of tissue, coupled with marked intra-tumoural heterogeneity as a hallmark of glioma tumours. Existing quantitative fluorescence systems are developed and validated using simplified phantoms that do not simultaneously mimic the complex interactions between fluorophores and tissue optical properties or micro-environment. Consequently, existing systems risk introducing systematic errors into PpIX quantification when used in tissue. In this work, we introduce a novel pipeline for quantification of PpIX in glioma, which robustly differentiates both emission states from background autofluorescence without reliance on

Indexed as

Aminolevulinic AcidOptical ImagingPhantoms, ImagingProtoporphyrinsBrain NeoplasmsGliomaHumansSpectrometry, FluorescenceAminolevulinic Acidprotoporphyrin IXProtoporphyrins5-ALA-PpIXfluorescence guided surgerygliomaPpIX620PpIX635quantitative fluorescencetissue-mimicking phantom

Identifiers

PMID41687253
PMCPMC12965099

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.