Evidence map›Paper›PMID 22894485›Full record

ArticleJournal of biomedical optics2012

Analysis of second-harmonic-generation microscopy in a mouse model of ovarian carcinoma.

Jennifer M Watson, Photini F Rice, Samuel L Marion, Molly A Brewer, John R Davis, Jeffrey J Rodriguez, Urs Utzinger, Patricia B Hoyer, Jennifer K Barton

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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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

9 authors.

Jennifer M WatsonUniversity of Arizona, Biomedical Engineering, 1657 E. Helen Street, Building 240, P.O. Box 210240, Tucson, Arizona 85721, USA.
Photini F Rice
Samuel L Marion
Molly A Brewer
John R Davis
Jeffrey J Rodriguez
Urs Utzinger
Patricia B Hoyer
Jennifer K Barton

Funding

Optical Imaging of Ovarian Carcinogenesis in a Rat Menopause ModelR01CA119200 · NCI · UNIVERSITY OF ARIZONA · PI BARTON, JENNIFER KEHLET · 2007 to 2011
$1.7M
NCI NIH HHS R01 CA119200NCI NIH HHS R01CA119200
6 · The paper itself

Abstract

Second-harmonic-generation (SHG) imaging of mouse ovaries ex vivo was used to detect collagen structure changes accompanying ovarian cancer development. Dosing with 4-vinylcyclohexene diepoxide and 7,12-dimethylbenz[a]anthracene resulted in histologically confirmed cases of normal, benign abnormality, dysplasia, and carcinoma. Parameters for each SHG image were calculated using the Fourier transform matrix and gray-level co-occurrence matrix (GLCM). Cancer versus normal and cancer versus all other diagnoses showed the greatest separation using the parameters derived from power in the highest-frequency region and GLCM energy. Mixed effects models showed that these parameters were significantly different between cancer and normal (P<0.008). Images were classified with a support vector machine, using 25% of the data for training and 75% for testing. Utilizing all images with signal greater than the noise level, cancer versus not-cancer specimens were classified with 81.2% sensitivity and 80.0% specificity, and cancer versus normal specimens were classified with 77.8% sensitivity and 79.3% specificity. Utilizing only images with greater than of 75% of the field of view containing signal improved sensitivity and specificity for cancer versus normal to 81.5% and 81.1%. These results suggest that using SHG to visualize collagen structure in ovaries could help with early cancer detection.

Indexed as

AlgorithmsAnimalsFemaleImage EnhancementImage Interpretation, Computer-AssistedMiceMicroscopy, Fluorescence, MultiphotonOvarian NeoplasmsReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID22894485
PMCPMC3389559

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.