Evidence map›Paper›PMID 26563091›Full record

ArticleScientific reports2015

Quantification of tumor fluorescence during intraoperative optical cancer imaging.

Ryan P Judy, Jane J Keating, Elizabeth M DeJesus, Jack X Jiang, Olugbenga T Okusanya, Shuming Nie, David E Holt, Sean P Arlauckas, Phillip S Low, E James Delikatny and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 51 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Ryan P JudyUniversity of Pennsylvania Perelman School of Medicine, Department of Surgery, Philadelphia, 19104, United States of America.
Jane J KeatingUniversity of Pennsylvania Perelman School of Medicine, Department of Surgery, Philadelphia, 19104, United States of America.
Elizabeth M DeJesusUniversity of Pennsylvania Perelman School of Medicine, Department of Surgery, Philadelphia, 19104, United States of America.
Jack X JiangUniversity of Pennsylvania Perelman School of Medicine, Department of Surgery, Philadelphia, 19104, United States of America.
Olugbenga T OkusanyaUniversity of Pennsylvania Perelman School of Medicine, Department of Surgery, Philadelphia, 19104, United States of America.
Shuming NieEmory University, Departments of Biomedical Engineering and Chemistry, Atlanta, 30322, United States of America.
David E HoltUniversity of Pennsylvania School of Veterinary Medicine, Department of Clinical Studies, Philadelphia, 19104, United States of America.
Sean P ArlauckasPerelman School of Medicine at the University of Pennsylvania, Department of Radiology, Philadelphia, 19104, United States of America.
Phillip S LowPurdue University, Department of Chemistry, West Lafayette, 47907, United States of America.
E James DelikatnyPerelman School of Medicine at the University of Pennsylvania, Department of Radiology, Philadelphia, 19104, United States of America.
Sunil SinghalUniversity of Pennsylvania Perelman School of Medicine, Department of Surgery, Philadelphia, 19104, United States of America.
University of Pennsylvania · USEmory University · USPurdue University West Lafayette · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
INSTITUTIONAL CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR024134 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2006 to 2011
$70.4M
NCI NIH HHS P30 CA016520NCRR NIH HHS UL1 RR024134NCRR NIH HHS UL1RR024134
6 · The paper itself

Abstract

Intraoperative optical cancer imaging is an emerging technology in which surgeons employ fluorophores to visualize tumors, identify tumor-positive margins and lymph nodes containing metastases. This study compares instrumentation to measure tumor fluorescence. Three imaging systems (Spectropen, Glomax, Flocam) measured and quantified fluorescent signal-to-background ratios (SBR) in vitro, murine xenografts, tissue phantoms and clinically. Evaluation criteria included the detection of small changes in fluorescence, sensitivity of signal detection at increasing depths and practicality of use. In vitro, spectroscopy was superior in detecting incremental differences in fluorescence than luminescence and digital imaging (Ln[SBR] = 6.8 ± 0.6, 2.4 ± 0.3, 2.6 ± 0.1, p = 0.0001). In fluorescent tumor cells, digital imaging measured higher SBRs than luminescence (6.1 ± 0.2 vs. 4.3 ± 0.4, p = 0.001). Spectroscopy was more sensitive than luminometry and digital imaging in identifying murine tumor fluorescence (SBR = 41.7 ± 11.5, 5.1 ± 1.8, 4.1 ± 0.9, p = 0.0001), and more sensitive than digital imaging at detecting fluorescence at increasing depths (SBR = 7.0 ± 3.4 vs. 2.4 ± 0.5, p = 0.03). Lastly, digital imaging was the most practical and least time-consuming. All methods detected incremental differences in fluorescence. Spectroscopy was the most sensitive for small changes in fluorescence. Digital imaging was the most practical considering its wide field of view, background noise filtering capability, and sensitivity to increasing depth.

Indexed as

FluorescenceAnimalsCell Line, TumorFemaleHumansIntraoperative PeriodMice, Inbred C57BLMice, Inbred NODMice, KnockoutMice, SCIDMiddle AgedNeoplasmsNeoplasms, ExperimentalOptical ImagingPhantoms, ImagingReproducibility of Results

Identifiers

PMID26563091
PMCPMC4643322
OpenAlexW2281828780

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.