Evidence map›Paper›PMID 36307633›Full record

ArticleMolecular imaging and biology2023

3D-Printed Tumor Phantoms for Assessment of In Vivo Fluorescence Imaging Analysis Methods.

Ethan P M LaRochelle, Samuel S Streeter, Eammon A Littler, Alberto J Ruiz

Abstract read
In one paragraph

Article in Molecular imaging and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 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

4 authors.

Ethan P M LaRochelleQUEL Imaging, 85 N. Main Street Suite 142, White River Junction, VT, 05001, USA. ethan@QUELimaging.com.ORCID 0000-0002-7883-9987
Samuel S StreeterQUEL Imaging, 85 N. Main Street Suite 142, White River Junction, VT, 05001, USA.
Eammon A LittlerQUEL Imaging, 85 N. Main Street Suite 142, White River Junction, VT, 05001, USA.
Alberto J RuizQUEL Imaging, 85 N. Main Street Suite 142, White River Junction, VT, 05001, USA.

Funding

Phase II: Fluorescence guided surgery standardization toolsR44EB029804 · NIBIB · QUEL IMAGING LLC · PI LAROCHELLE, ETHAN PHILLIP MARSHALL · 2022 to 2023
$2.0M
TOPIC 421: BIOMIMETIC OPTICAL PHANTOMS FOR ADVANCING DEVELOPMENT OF FLUORESCENCE GUIDED SURGERY75N91021C00035 · NCI · QUEL IMAGING LLC · PI LAROCHELLE, ETHAN · 2021 to 2022
$455k
Fluorescence Guided Surgery Standardization ToolsR43EB029804 · NIBIB · QUEL IMAGING LLC · PI LAROCHELLE, ETHAN PHILLIP MARSHALL · 2020 to 2020
$266k
NCI NIH HHS 75N91021C00035NIBIB NIH HHS R43 EB029804NIBIB NIH HHS R44 EB029804
6 · The paper itself

Abstract

purposeInterventional fluorescence imaging is increasingly being utilized to quantify cancer biomarkers in both clinical and preclinical models, yet absolute quantification is complicated by many factors. The use of optical phantoms has been suggested by multiple professional organizations for quantitative performance assessment of fluorescence guidance imaging systems. This concept can be further extended to provide standardized tools to compare and assess image analysis metrics. PROCEDURES: 3D-printed fluorescence phantoms based on solid tumor models were developed with representative bio-mimicking optical properties. Phantoms were produced with discrete tumors embedded with an NIR fluorophore of fixed concentration and either zero or 3% non-specific fluorophore in the surrounding material. These phantoms were first imaged by two fluorescence imaging systems using two methods of image segmentation, and four assessment metrics were calculated to demonstrate variability in the quantitative assessment of system performance. The same analysis techniques were then applied to one tumor model with decreasing tumor fluorophore concentrations.

resultsThese anatomical phantom models demonstrate the ability to use 3D printing to manufacture anthropomorphic shapes with a wide range of reduced scattering (μ

conclusions3D printing techniques provide a platform for demonstrating complex biological models that introduce real-world complexities for quantifying fluorescence image data. Controlled iterative development of these phantom designs can be used as a tool to advance the field and provide context for consensus-building beyond performance assessment of fluorescence imaging platforms, and extend support for standardizing how quantitative metrics are extracted from imaging data and reported in literature.

Indexed as

NeoplasmsPrinting, Three-DimensionalHumansOptical ImagingPhantoms, ImagingTomography, X-Ray ComputedFluorescence guided surgeryICGOptical phantomStandardsSurgical navigation

Identifiers

PMID36307633
PMCPMC9970939

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Registered trials

None linked

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.