Abstract
Cervical intraepithelial neoplasia (CIN) exhibits certain morphologic features that can be identified during a colposcopic exam. Immature metaplastic and dysplastic cervical squamous epithelia turn white after application of acetic acid during the exam. The whitening process occurs visually over several minutes and subjectively helps to discriminate between dysplastic and normal tissue. Digital imaging technologies enable us to assist the physician in analyzing acetowhite (acetic-acid-induced) lesions in a fully automatic way. We report a study designed to measure multiple parameters of the acetowhitening process from two images captured with a digital colposcope. One image is captured before the acetic acid application, and the other is captured after the acetic acid application. The spatial change of the acetowhitening is extracted using color and texture information in the post-acetic-acid image; the temporal change is extracted from the intensity and color changes between the post-acetic-acid and pre-acetic-acid images with an automatic alignment. In particular, we propose an automatic means to calculate an opacity index that indicates the grades of temporal change. The imaging and data analysis system is evaluated with a total of 99 human subjects. The proposed opacity index demonstrates a sensitivity and specificity of 94 and 87%, respectively, for discriminating high-grade dysplasia (CIN2+) from normal and low-grade subjects, considering histology as the gold standard.
| Original language | English (US) |
|---|---|
| Article number | 014020 |
| Journal | Journal of Biomedical Optics |
| Volume | 14 |
| Issue number | 1 |
| DOIs | |
| State | Published - Dec 1 2009 |
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Keywords
- acetowhite
- cervical neoplasia
- computer-aided diagnostic
- digital colposcopy
- image analysis
- opacity index
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Biomaterials
- Atomic and Molecular Physics, and Optics
- Biomedical Engineering
Cite this
Using acetowhite opacity index for detecting cervical intraepithelial neoplasia. / Li, Wenjing; Venkataraman, Sankar; Gustafsson, Ulf; Oyama, Jody C.; Ferris, Daron Gale; Lieberman, Rich W.
In: Journal of Biomedical Optics, Vol. 14, No. 1, 014020, 01.12.2009.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Using acetowhite opacity index for detecting cervical intraepithelial neoplasia
AU - Li, Wenjing
AU - Venkataraman, Sankar
AU - Gustafsson, Ulf
AU - Oyama, Jody C.
AU - Ferris, Daron Gale
AU - Lieberman, Rich W.
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Cervical intraepithelial neoplasia (CIN) exhibits certain morphologic features that can be identified during a colposcopic exam. Immature metaplastic and dysplastic cervical squamous epithelia turn white after application of acetic acid during the exam. The whitening process occurs visually over several minutes and subjectively helps to discriminate between dysplastic and normal tissue. Digital imaging technologies enable us to assist the physician in analyzing acetowhite (acetic-acid-induced) lesions in a fully automatic way. We report a study designed to measure multiple parameters of the acetowhitening process from two images captured with a digital colposcope. One image is captured before the acetic acid application, and the other is captured after the acetic acid application. The spatial change of the acetowhitening is extracted using color and texture information in the post-acetic-acid image; the temporal change is extracted from the intensity and color changes between the post-acetic-acid and pre-acetic-acid images with an automatic alignment. In particular, we propose an automatic means to calculate an opacity index that indicates the grades of temporal change. The imaging and data analysis system is evaluated with a total of 99 human subjects. The proposed opacity index demonstrates a sensitivity and specificity of 94 and 87%, respectively, for discriminating high-grade dysplasia (CIN2+) from normal and low-grade subjects, considering histology as the gold standard.
AB - Cervical intraepithelial neoplasia (CIN) exhibits certain morphologic features that can be identified during a colposcopic exam. Immature metaplastic and dysplastic cervical squamous epithelia turn white after application of acetic acid during the exam. The whitening process occurs visually over several minutes and subjectively helps to discriminate between dysplastic and normal tissue. Digital imaging technologies enable us to assist the physician in analyzing acetowhite (acetic-acid-induced) lesions in a fully automatic way. We report a study designed to measure multiple parameters of the acetowhitening process from two images captured with a digital colposcope. One image is captured before the acetic acid application, and the other is captured after the acetic acid application. The spatial change of the acetowhitening is extracted using color and texture information in the post-acetic-acid image; the temporal change is extracted from the intensity and color changes between the post-acetic-acid and pre-acetic-acid images with an automatic alignment. In particular, we propose an automatic means to calculate an opacity index that indicates the grades of temporal change. The imaging and data analysis system is evaluated with a total of 99 human subjects. The proposed opacity index demonstrates a sensitivity and specificity of 94 and 87%, respectively, for discriminating high-grade dysplasia (CIN2+) from normal and low-grade subjects, considering histology as the gold standard.
KW - acetowhite
KW - cervical neoplasia
KW - computer-aided diagnostic
KW - digital colposcopy
KW - image analysis
KW - opacity index
UR - http://www.scopus.com/inward/record.url?scp=65349138283&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=65349138283&partnerID=8YFLogxK
U2 - 10.1117/1.3079810
DO - 10.1117/1.3079810
M3 - Article
C2 - 19256708
AN - SCOPUS:65349138283
VL - 14
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
SN - 1083-3668
IS - 1
M1 - 014020
ER -