Evidence map›Paper›PMID 38253556›Full record

ArticleScientific reports2024

A blinded study using laser induced endogenous fluorescence spectroscopy to differentiate ex vivo spine tumor, healthy muscle, and healthy bone.

Jacob Sperber, Tanner J Zachem, Ravi Prakash, Edwin Owolo, Kent Yamamoto, Annee D Nguyen, Harrison Hockenberry, Weston A Ross, James E Herndon, Patrick J Codd and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. 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
1.7field-weighted citation impact, top 18% of its field
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, 3 citations in OpenAlex.

  1. Review
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 at 2 institutions in 1 country.

Jacob Sperber *Department of Neurosurgery, Duke University School of Medicine, Durham, USA.
Tanner J Zachem *Department of Neurosurgery, Duke University School of Medicine, Durham, USA.
Ravi PrakashDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, USA.
Edwin OwoloDepartment of Neurosurgery, Duke University School of Medicine, Durham, USA.
Kent YamamotoDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, USA.
Annee D NguyenDepartment of Neurosurgery, Duke University School of Medicine, Durham, USA.
Harrison HockenberryDepartment of Neurosurgery, Duke University School of Medicine, Durham, USA.
Weston A RossDepartment of Neurosurgery, Duke University School of Medicine, Durham, USA.
James E HerndonDepartment of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, USA.
Patrick J CoddDepartment of Neurosurgery, Duke University School of Medicine, Durham, USA.
C Rory GoodwinDepartment of Neurosurgery, Duke University School of Medicine, Durham, USA. spineresearch@dm.duke.edu.
Duke University · USDuke Medical Center · US

Funding

SCH: Overcoming the Intraoperative Data Desert: Biophotonics, Advanced Sensing, and Control for Automated SurgeryR01EB030982 · NIBIB · DUKE UNIVERSITY · PI CODD, PATRICK · 2020 to 2023
$1.1M
NIBIB NIH HHS R01 EB030982
6 · The paper itself

Abstract

Ten patients undergoing surgical resection for spinal tumors were selected. Samples of tumor, muscle, and bone were resected, de-identified by the treating surgeon, and then scanned with the TumorID technology ex vivo. This study investigates whether TumorID technology is able to differentiate three different human clinical fresh tissue specimens: spine tumor, normal muscle, and normal bone. The TumorID technology utilizes a 405 nm excitation laser to target endogenous fluorophores, thereby allowing for the detection of tissue based on emission spectra. Metabolic profiles of tumor and healthy tissue vary, namely NADH (bound and free emission peak, respectively: 487 nm, 501 nm) and FAD (emission peak: 544) are endogenous fluorophores with distinct concentrations in tumor and healthy tissue. Emission spectra analyzed consisted of 74 scans of spine tumor, 150 scans of healthy normal bone, and 111 scans of healthy normal muscle. An excitation wavelength of 405 nm was used to obtain emission spectra from tissue as previously described. Emission spectra consisted of approximately 1400 wavelength intensity pairs between 450 and 750 nm. Kruskal-Wallis tests were conducted comparing AUC distributions for each treatment group, α = 0.05. Spectral signatures varied amongst the three different tissue types. All pairwise comparisons among tissues for Free NADH were statistically significant (Tumor vs. Muscle: p = 0.0006, Tumor vs. Bone: p < 0.0001, Bone vs. Muscle: p = 0.0357). The overall comparison of tissues for FAD (506.5-581.5 nm) was also statistically significant (p < 0.0001), with two pairwise comparisons being statistically significant (Tumor vs. Muscle: p < 0.0001, Tumor vs. Bone: p = 0.0045, Bone vs. Muscle: p = 0.249). These statistically significant differences were maintained when stratifying tumor into metastatic carcinoma (N = 57) and meningioma (N = 17). TumorID differentiates tumor tissue from normal bone and normal muscle providing further clinical evidence of its efficacy as a tissue identification tool. Future studies should evaluate TumorID's ability to serve as an adjunctive tool for intraoperative assessment of surgical margins and surgical decision-making.

Indexed as

Meningeal NeoplasmsNADFluorescent DyesHumansIonophoresLasersMusclesSpectrometry, FluorescenceFluorescent DyesIonophoresNAD

Identifiers

PMID38253556
PMCPMC10803777
OpenAlexW4391102311

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.