Evidence map›Paper›PMID 36527637›Full record

ArticleAdvances in experimental medicine and biology2022

Development and Validation of Robust and Cost-Effective Liquid Heterogeneous Phantom for Time Domain Near-Infrared Optical Tomography.

A Kalyanov, J Jiang, E Russomanno, M Ackermann, A Di Costanzo Mata, R Mindel, L Miller, M Wolf

Abstract read
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In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

A KalyanovBORL, Neonatology, University of Zurich and University Hospital Zurich, Zürich, Switzerland. alexander.kalyanov@uzh.ch.
J JiangBORL, Neonatology, University of Zurich and University Hospital Zurich, Zürich, Switzerland.
E RussomannoBORL, Neonatology, University of Zurich and University Hospital Zurich, Zürich, Switzerland.
M AckermannBORL, Neonatology, University of Zurich and University Hospital Zurich, Zürich, Switzerland.
A Di Costanzo MataBORL, Neonatology, University of Zurich and University Hospital Zurich, Zürich, Switzerland.
R MindelBORL, Neonatology, University of Zurich and University Hospital Zurich, Zürich, Switzerland.
L MillerBORL, Neonatology, University of Zurich and University Hospital Zurich, Zürich, Switzerland.
M WolfBORL, Neonatology, University of Zurich and University Hospital Zurich, Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffused light imaging techniques, such as near-infrared optical tomography (NIROT), require a stable platform for testing and validation that imitates tissue optical properties. The aim of this work was to build a robust, but flexible liquid phantom for BORL time-domain NIROT system Pioneer. The phantom was designed to assess penetration depth and resolution of the system, and to provide a heterogeneous inner structure that can be changed in controllable manner with adjustable optical properties. We used only in-house produced 3D-printed elements and mechanics of a budget 3D-printer to build the phantom, and managed to keep the overall costs below $500. We achieved stable and repeatable movement of an arbitrary structure in 3+1 degree of freedom inside the phantom and demonstrated its performance in a series of tests. Thus, we presented a universal and cost-effective solution for testing NIROT, that can be easily customised to various systems or testing paradigms.

Indexed as

Tomography, OpticalCost-Benefit AnalysisPhantoms, ImagingDiffused light imagingNIROTNIRSOptical properties

Identifiers

PMID36527637

What OpenQuestion holds

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Read underepoch 390

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.