Evidence map›Paper›PMID 26745695›Full record

Trial reportInternational journal of gynecological cancer : official journal of the International Gynecological Cancer Society2016

Pilot Clinical Evaluation of a Confocal Microlaparoscope for Ovarian Cancer Detection.

Matthew D Risi, Andrew R Rouse, Setsuko K Chambers, Kenneth D Hatch, Wenxin Zheng, Arthur F Gmitro

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 13 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 1 institution in 1 country.

Matthew D Risi*College of Optical Sciences, University of Arizona; †University of Arizona Cancer Center; and Departments of ‡Medical Imaging, §Obstetrics and Gynecology, and ∥Pathology, College of Medicine, and ¶Department of Biomedical Engineering, University of Arizona, Tucson, AZ.
Andrew R Rouse
Setsuko K Chambers
Kenneth D Hatch
Wenxin Zheng
Arthur F Gmitro
University of Arizona · US

Funding

Graduate Training in Biomedical Imaging SpectrocopyT32EB000809 · NIBIB · UNIVERSITY OF ARIZONA · PI GMITRO, ARTHUR F. · 2003 to 2018
$3.3M
Diagnosis of Ovarian Cancer by Confocal MicroendoscopyR01CA115780 · NCI · UNIVERSITY OF ARIZONA · PI GMITRO, ARTHUR F. · 2005 to 2013
$2.3M
NCI NIH HHS CA115780NCI NIH HHS R01 CA115780NIBIB NIH HHS T32 EB000809
6 · The paper itself

Abstract

objectiveThe aim of this study is to evaluate the performance of a confocal fluorescence microlaparoscope for in vivo detection of ovarian cancer. METHODS/MATERIALS: Seventy-one patients scheduled for open or laparoscopic oophorectomy were consented for the imaging study. High-resolution confocal microlaparoscopic images of the epithelial surface of the ovary were acquired in vivo or ex vivo after tissue staining using acridine orange. Standard histologic evaluation of extracted tissue samples was performed and used as the gold standard of disease diagnosis. Trained human observers from different specialties viewed the microlaparoscopic images, rating each image on a 6-point scale ranging from "definitely not cancer" to "definitely cancer." Receiver operating characteristic curves were generated using these scores and the gold standard histopathologic diagnosis. Area under the receiver operating characteristic curve (AUC) was calculated as a performance metric.

resultsForty-five of the consented patients were used in the final evaluation study. From these 45 patients, 63 tissue locations or samples were identified and imaged with the confocal microlaparoscope. Twenty of the samples were high-grade cancers, and the remaining 43 samples were normal or noncancerous. Twenty-three of the samples were imaged in vivo, and the remaining 40 samples were imaged ex vivo. The average AUC score and standard error (SE) for detection of cancer in all images were 0.88 and 0.02, respectively. An independent-samples t test was conducted to compare AUC scores for in vivo and ex vivo conditions. No statistically significant difference in the AUC score for in vivo (AUC, 0.850; SE, 0.049) and ex vivo (AUC, 0.888; SE, 0.027) conditions was observed, t(6) = 1.318, P = 0.2355.

conclusionsArea under the receiver operating characteristic curve scores indicate that high-resolution in vivo images obtained by the confocal laparoscope can distinguish between normal and malignant ovarian surface epithelium. In addition, in vivo performance is similar to that which can be obtained from ex vivo tissue.

Indexed as

Acridine OrangeCystadenocarcinoma, SerousFemaleHumansLaparoscopyMicroscopy, ConfocalOvarian NeoplasmsPilot ProjectsAcridine Orange

Identifiers

PMID26745695
PMCPMC4728032
OpenAlexW2334069159

What OpenQuestion holds

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LicenceTDM
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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.