Evidence map›Paper›PMID 25991816›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2015

Rectal Optical Markers for In Vivo Risk Stratification of Premalignant Colorectal Lesions.

Andrew J Radosevich, Nikhil N Mutyal, Adam Eshein, The-Quyen Nguyen, Bradley Gould, Jeremy D Rogers, Michael J Goldberg, Laura K Bianchi, Eugene F Yen, Vani Konda and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02730702 (Colon Cancer Risk-stratification Via Optical Analysis of Rectal Ultrastructure), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-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.

NCT02730702 unknown statusnot on this mapstarted 2016, after this paper: background citation

Colon Cancer Risk-stratification Via Optical Analysis of Rectal Ultrastructure

TypeobservationalSponsorAmerican BioOptics, LLCRan2016 to 2020Enrolled600ConditionsColon CancerArmsLEBS - Low coherence enhanced backscattering
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
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  7. Microscope objective based 4Biomedical optics express · 2017
    Article
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  9. Measuring the Autocorrelation Function of Nanoscale Three-Dimensional Density Distribution in Individual Cells Using Scanning Transmission Electron Microscopy, Atomic Force Microscopy, and a New Deconvolution Algorithm.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2017
    Article
  10. 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

14 authors at 2 institutions in 1 country.

Andrew J RadosevichBiomedical Engineering Department, Northwestern University, Evanston, Il.
Nikhil N MutyalBiomedical Engineering Department, Northwestern University, Evanston, Il.
Adam EsheinBiomedical Engineering Department, Northwestern University, Evanston, Il.
The-Quyen NguyenBiomedical Engineering Department, Northwestern University, Evanston, Il.
Bradley GouldBiomedical Engineering Department, Northwestern University, Evanston, Il.
Jeremy D RogersBiomedical Engineering Department, University of Wisconsin, Madison, Wisconsin.
Michael J GoldbergDepartment of Medicine, NorthShore University HealthSystems, Evanston, Il.
Laura K BianchiDepartment of Medicine, NorthShore University HealthSystems, Evanston, Il.
Eugene F YenDepartment of Medicine, NorthShore University HealthSystems, Evanston, Il.
Vani KondaCenter for Endoscopic Research and Therapeutics, University of Chicago Medicine, Chicago, IL.
Douglas K RexDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Jacques Van DamAdvanced Digestive Health Center, University of Southern California Medical Center, Los Angeles, CA.
Vadim Backman *Biomedical Engineering Department, Northwestern University, Evanston, Il.
Hemant K Roy *Department of Medicine, Boston University, Boston, Massachusetts.
Northwestern University · USIndiana University School of Medicine

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Novel Biophotonics Methodology for Colon Cancer ScreeningR01CA128641 · NCI · NORTHWESTERN UNIVERSITY · PI BACKMAN, VADIM · 2008 to 2012
$7.3M
Spectral Markers for Early Detection of Colon NeoplasiaU01CA111257 · NCI · NORTHSHORE UNIV HEALTHSYSTEM RES INST · PI BACKMAN, VADIM, ROY, HEMANT K. · 2004 to 2015
$6.0M
Transforming Colorectal Cancer Screening through Multimodal Spectral MarkersR01CA156186 · NCI · ENDEAVOR HEALTH CLINICAL OPERATIONS · PI BACKMAN, VADIM, ROY, HEMANT K. · 2011 to 2015
$2.8M
Optical Nanoscale Analysis of Buccal Cells: Transforming Lung Cancer ScreeningR01CA155284 · NCI · NORTHWESTERN UNIVERSITY · PI BACKMAN, VADIM, ROY, HEMANT K. · 2011 to 2014
$2.3M
NCATS NIH HHS UL1 TR001108NCI NIH HHS 5R01CA156186-05NCI NIH HHS P30 CA060553NCI NIH HHS R01 CA128641NCI NIH HHS R01CA128641NCI NIH HHS R01 CA155284NCI NIH HHS R01CA155284NCI NIH HHS R01 CA156186NCI NIH HHS U01 CA111257NCI NIH HHS U01CA111257
6 · The paper itself

Abstract

purposeColorectal cancer remains the second leading cause of cancer deaths in the United States despite being eminently preventable by colonoscopy via removal of premalignant adenomas. In order to more effectively reduce colorectal cancer mortality, improved screening paradigms are needed. Our group pioneered the use of low-coherence enhanced backscattering (LEBS) spectroscopy to detect the presence of adenomas throughout the colon via optical interrogation of the rectal mucosa. In a previous ex vivo biopsy study of 219 patients, LEBS demonstrated excellent diagnostic potential with 89.5% accuracy for advanced adenomas. The objective of the current cross-sectional study is to assess the viability of rectal LEBS in vivo. EXPERIMENTAL

designMeasurements from 619 patients were taken using a minimally invasive 3.4-mm diameter LEBS probe introduced into the rectum via anoscope or direct insertion, requiring approximately 1 minute from probe insertion to withdrawal. The diagnostic LEBS marker was formed as a logistic regression of the optical reduced scattering coefficient [Formula: see text] and mass density distribution factor D.

resultsThe rectal LEBS marker was significantly altered in patients harboring advanced adenomas and multiple non-advanced adenomas throughout the colon. Blinded and cross-validated test performance characteristics showed 88% sensitivity to advanced adenomas, 71% sensitivity to multiple non-advanced adenomas, and 72% specificity in the validation set.

conclusionsWe demonstrate the viability of in vivo LEBS measurement of histologically normal rectal mucosa to predict the presence of clinically relevant adenomas throughout the colon. The current work represents the next step in the development of rectal LEBS as a tool for colorectal cancer risk stratification.

Indexed as

Early Detection of CancerAdenomaAgedBiomarkersBiopsyCase-Control StudiesColonic NeoplasmsConfounding Factors, EpidemiologicCross-Sectional StudiesFemaleHumansIntestinal MucosaMaleMiddle AgedNeoplasm StagingPoint-of-Care SystemsBiomarkers

Identifiers

PMID25991816
PMCPMC4592390
OpenAlexW2136461483

What OpenQuestion holds

Textmetadata
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Registered trials

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.