Evidence map›Paper›PMID 27883177›Full record

Trial reportInternational journal of cancer2017

Feasibility of clinical detection of cervical dysplasia using angle-resolved low coherence interferometry measurements of depth-resolved nuclear morphology.

Derek Ho, Tyler K Drake, Karen K Smith-McCune, Teresa M Darragh, Loris Y Hwang, Adam Wax

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in International journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 23 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

6 authors at 2 institutions in 1 country.

Derek HoDepartment of Biomedical Engineering, Duke University, Durham, NC.
Tyler K DrakeDepartment of Biomedical Engineering, Duke University, Durham, NC.
Karen K Smith-McCuneDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA.
Teresa M DarraghDepartment of Pathology, University of California, San Francisco, San Francisco, CA.
Loris Y HwangDepartment of Pediatrics, Division of Adolescent Medicine, University of California, San Francisco, San Francisco, CA.
Adam WaxDepartment of Biomedical Engineering, Duke University, Durham, NC.
Duke University · USUniversity of California, San Francisco · US

Funding

Novel Coherence Imaging to Evaluate the Health of the Cervical EpitheliumR01CA167421 · NCI · DUKE UNIVERSITY · PI WAX, ADAM · 2014 to 2018
$3.0M
NCI NIH HHS R01 CA167421
6 · The paper itself

Abstract

This study sought to establish the feasibility of using in situ depth-resolved nuclear morphology measurements for detection of cervical dysplasia. Forty enrolled patients received routine cervical colposcopy with angle-resolved low coherence interferometry (a/LCI) measurements of nuclear morphology. a/LCI scans from 63 tissue sites were compared to histopathological analysis of co-registered biopsy specimens which were classified as benign, low-grade squamous intraepithelial lesion (LSIL), or high-grade squamous intraepithelial lesion (HSIL). Results were dichotomized as dysplastic (LSIL/HSIL) versus non-dysplastic and HSIL versus LSIL/benign to determine both accuracy and potential clinical utility of a/LCI nuclear morphology measurements. Analysis of a/LCI data was conducted using both traditional Mie theory based processing and a new hybrid algorithm that provides improved processing speed to ascertain the feasibility of real-time measurements. Analysis of depth-resolved nuclear morphology data revealed a/LCI was able to detect a significant increase in the nuclear diameter at the depth bin containing the basal layer of the epithelium for dysplastic versus non-dysplastic and HSIL versus LSIL/Benign biopsy sites (both p < 0.001). Both processing techniques resulted in high sensitivity and specificity (>0.80) in identifying dysplastic biopsies and HSIL. The hybrid algorithm demonstrated a threefold decrease in processing time at a slight cost in classification accuracy. The results demonstrate the feasibility of using a/LCI as an adjunctive clinical tool for detecting cervical dysplasia and guiding the identification of optimal biopsy sites. The faster speed from the hybrid algorithm offers a promising approach for real-time clinical analysis.

Indexed as

AlgorithmsBiopsyCarcinoma, Squamous CellCell NucleusEpithelial CellsFeasibility StudiesFemaleHumansInterferometryPredictive Value of TestsROC CurveSample SizeSensitivity and SpecificitySquamous Intraepithelial Lesions of the CervixUterine Cervical DysplasiaUterine Cervical Neoplasmsa/LCIcancer nuclear morphologycancer screeningcervical canceroptical biopsy

Identifiers

PMID27883177
PMCPMC5512428
OpenAlexW2556132301

What OpenQuestion holds

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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.