Evidence map›Paper›PMID 23291657›Full record

ArticleJournal of biomedical optics2013

Ratio images and ultraviolet C excitation in autofluorescence imaging of neoplasms of the human colon.

Timothy E Renkoski, Bhaskar Banerjee, Logan R Graves, Nathaniel S Rial, Sirandon A H Reid, Vassiliki Liana Tsikitis, Valentine N Nfonsam, Piyush Tiwari, Hemanth Gavini, Urs Utzinger

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomedical optics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Artificial intelligence in colonoscopy.World journal of gastroenterology · 2021
    Review
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  4. Article
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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

10 authors at 1 institution in 1 country.

Timothy E RenkoskiUniversity of Arizona, College of Optical Sciences, 1630 E. University Boulevard, Tucson, Arizona 85721, USA.
Bhaskar Banerjee
Logan R Graves
Nathaniel S Rial
Sirandon A H Reid
Vassiliki Liana Tsikitis
Valentine N Nfonsam
Piyush Tiwari
Hemanth Gavini
Urs Utzinger
University of Arizona · US

Funding

Optical Spectroscopy of Ovarian CancerR01CA098341 · NCI · UNIVERSITY OF ARIZONA · PI UTZINGER, URS · 2003 to 2005
$915k
NCI NIH HHS R01 CA098341NCI NIH HHS R01CA098341
6 · The paper itself

Abstract

The accepted screening technique for colon cancer is white light endoscopy. While most abnormal growths (lesions) are detected by this method, a significant number are missed during colonoscopy, potentially resulting in advanced disease. Missed lesions are often flat and inconspicuous in color. A prototype ultraviolet spectral imager measuring autofluorescence (AF) and reflectance has been developed and applied in a study of 21 fresh human colon surgical specimens. Six excitation wavelengths from 280 to 440 nm and formulaic ratio imaging were utilized to increase lesion contrast and cause neoplasms to appear bright compared to normal tissue. It was found that in the subset of lesions which were most difficult to visualize in standard color photographs [low contrast lesions, (LCLs)] a ratio image (F340/F440) of AF images excited at 340 and 440 nm produced extraordinary images and was effective in about 70% of these difficult cases. Contrast may be due to increased levels of reduced nicotinamide adenine dinucleotide, increased hemoglobin absorption, and reduced signal from submucosal collagen. A second successful ratio image (R480/R555) combined two reflectance images to produce exceptional images especially in particular LCLs where F340/F440 was ineffective. The newly discovered ratio images can potentially improve detection rate in screening with a novel AF colonoscope.

Indexed as

AdenocarcinomaAdenomaColonic NeoplasmsColonoscopyComputer SimulationHumansImage Processing, Computer-AssistedMaleOptical Imaging

Identifiers

PMID23291657
PMCPMC3537599
OpenAlexW1967614780

What OpenQuestion holds

Textmetadata
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.