Evidence map›Paper›PMID 38312853›Full record

ArticleJournal of biomedical optics2024

Semi-automatic standardized analysis method to objectively evaluate near-infrared fluorescent dyes in image-guided surgery.

Tom H Dijkhuis, Okker D Bijlstra, Mats I Warmerdam, Robin A Faber, Daan G J Linders, Hidde A Galema, Alexander Broersen, Jouke Dijkstra, Peter J K Kuppen, Alexander L Vahrmeijer and 1 more

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

11 authors.

Tom H DijkhuisLeiden University Medical Center, Department of Surgery, Leiden, The Netherlands.ORCID 0009-0002-4794-5223
Okker D BijlstraLeiden University Medical Center, Department of Surgery, Leiden, The Netherlands.
Mats I WarmerdamLeiden University Medical Center, Department of Surgery, Leiden, The Netherlands.
Robin A FaberLeiden University Medical Center, Department of Surgery, Leiden, The Netherlands.
Daan G J LindersLeiden University Medical Center, Department of Surgery, Leiden, The Netherlands.ORCID 0000-0003-4524-4175
Hidde A GalemaErasmus MC Cancer Institute, Department of Surgical Oncology and Gastrointestinal Surgery, Rotterdam, The Netherlands.ORCID 0000-0002-7777-0754
Alexander BroersenLeiden University Medical Center, Department of Radiology, Leiden, The Netherlands.ORCID 0000-0003-4314-1156
Jouke DijkstraLeiden University Medical Center, Department of Radiology, Leiden, The Netherlands.ORCID 0000-0002-8666-3731
Peter J K KuppenLeiden University Medical Center, Department of Surgery, Leiden, The Netherlands.
Alexander L VahrmeijerLeiden University Medical Center, Department of Surgery, Leiden, The Netherlands.
Jan Sven David MieogLeiden University Medical Center, Department of Surgery, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Near-infrared fluorescence imaging still lacks a standardized, objective method to evaluate fluorescent dye efficacy in oncological surgical applications. This results in difficulties in translation between preclinical to clinical studies with fluorescent dyes and in the reproduction of results between studies, which in turn hampers further clinical translation of novel fluorescent dyes. Aim: Our aim is to develop and evaluate a semi-automatic standardized method to objectively assess fluorescent signals in resected tissue. Approach: A standardized imaging procedure was designed and quantitative analysis methods were developed to evaluate non-targeted and tumor-targeted fluorescent dyes. The developed analysis methods included manual selection of region of interest (ROI) on white light images, automated fluorescence signal ROI selection, and automatic quantitative image analysis. The proposed analysis method was then compared with a conventional analysis method, where fluorescence signal ROIs were manually selected on fluorescence images. Dice similarity coefficients and intraclass correlation coefficients were calculated to determine the inter- and intraobserver variabilities of the ROI selections and the determined signal- and tumor-to-background ratios. Results: The proposed non-targeted fluorescent dyes analysis method showed statistically significantly improved variabilities after application on indocyanine green specimens. For specimens with the targeted dye SGM-101, the variability of the background ROI selection was statistically significantly improved by implementing the proposed method. Conclusion: Semi-automatic methods for standardized quantitative analysis of fluorescence images were successfully developed and showed promising results to further improve the reproducibility and standardization of clinical studies evaluating fluorescent dyes.

Indexed as

NeoplasmsSurgery, Computer-AssistedFluorescent DyesHumansIndocyanine GreenOptical ImagingReproducibility of ResultsFluorescent DyesIndocyanine Greenfluorescence-guided surgeryimage analysisimage-guided surgeryquantitative fluorescence imagingstandardization

Identifiers

PMID38312853
PMCPMC10833575

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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.