Enhancement of early cervical cancer diagnosis with epithelial layer analysis of fluorescence lifetime images.
This work reports the use of layer analysis to aid the fluorescence lifetime diagnosis of cervical intraepithelial neoplasia (CIN) from H&E stained cervical tissue sections. The mean and standard deviation of lifetimes in single region of interest (ROI) of cervical epithelium were previously sho...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0125706 |
| _version_ | 1818400056798085120 |
|---|---|
| author | Jun Gu Chit Yaw Fu Beng Koon Ng Lin Bo Liu Soo Kim Lim-Tan Caroline Guat Lay Lee |
| author_facet | Jun Gu Chit Yaw Fu Beng Koon Ng Lin Bo Liu Soo Kim Lim-Tan Caroline Guat Lay Lee |
| author_sort | Jun Gu |
| collection | DOAJ |
| description | This work reports the use of layer analysis to aid the fluorescence lifetime diagnosis of cervical intraepithelial neoplasia (CIN) from H&E stained cervical tissue sections. The mean and standard deviation of lifetimes in single region of interest (ROI) of cervical epithelium were previously shown to correlate to the gold standard histopathological classification of early cervical cancer. These previously defined single ROIs were evenly divided into layers for analysis. A 10-layer model revealed a steady increase in fluorescence lifetime from the inner to the outer epithelial layers of healthy tissue sections, suggesting a close association with cellular maturity. The shorter lifetime and minimal lifetime increase towards the epithelial surface of CIN-affected regions are in good agreement with the absence of cellular maturation in CIN. Mean layer lifetimes in the top-half cervical epithelium were used as feature vectors for extreme learning machine (ELM) classifier discriminations. It was found that the proposed layer analysis technique greatly improves the sensitivity and specificity to 94.6% and 84.3%, respectively, which can better supplement the traditional gold standard cervical histopathological examinations. |
| first_indexed | 2024-12-14T07:30:31Z |
| format | Article |
| id | doaj.art-8d549cf4efda4b09a063b508baf872a1 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-14T07:30:31Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-8d549cf4efda4b09a063b508baf872a12022-12-21T23:11:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01105e012570610.1371/journal.pone.0125706Enhancement of early cervical cancer diagnosis with epithelial layer analysis of fluorescence lifetime images.Jun GuChit Yaw FuBeng Koon NgLin Bo LiuSoo Kim Lim-TanCaroline Guat Lay LeeThis work reports the use of layer analysis to aid the fluorescence lifetime diagnosis of cervical intraepithelial neoplasia (CIN) from H&E stained cervical tissue sections. The mean and standard deviation of lifetimes in single region of interest (ROI) of cervical epithelium were previously shown to correlate to the gold standard histopathological classification of early cervical cancer. These previously defined single ROIs were evenly divided into layers for analysis. A 10-layer model revealed a steady increase in fluorescence lifetime from the inner to the outer epithelial layers of healthy tissue sections, suggesting a close association with cellular maturity. The shorter lifetime and minimal lifetime increase towards the epithelial surface of CIN-affected regions are in good agreement with the absence of cellular maturation in CIN. Mean layer lifetimes in the top-half cervical epithelium were used as feature vectors for extreme learning machine (ELM) classifier discriminations. It was found that the proposed layer analysis technique greatly improves the sensitivity and specificity to 94.6% and 84.3%, respectively, which can better supplement the traditional gold standard cervical histopathological examinations.https://doi.org/10.1371/journal.pone.0125706 |
| spellingShingle | Jun Gu Chit Yaw Fu Beng Koon Ng Lin Bo Liu Soo Kim Lim-Tan Caroline Guat Lay Lee Enhancement of early cervical cancer diagnosis with epithelial layer analysis of fluorescence lifetime images. PLoS ONE |
| title | Enhancement of early cervical cancer diagnosis with epithelial layer analysis of fluorescence lifetime images. |
| title_full | Enhancement of early cervical cancer diagnosis with epithelial layer analysis of fluorescence lifetime images. |
| title_fullStr | Enhancement of early cervical cancer diagnosis with epithelial layer analysis of fluorescence lifetime images. |
| title_full_unstemmed | Enhancement of early cervical cancer diagnosis with epithelial layer analysis of fluorescence lifetime images. |
| title_short | Enhancement of early cervical cancer diagnosis with epithelial layer analysis of fluorescence lifetime images. |
| title_sort | enhancement of early cervical cancer diagnosis with epithelial layer analysis of fluorescence lifetime images |
| url | https://doi.org/10.1371/journal.pone.0125706 |
| work_keys_str_mv | AT jungu enhancementofearlycervicalcancerdiagnosiswithepitheliallayeranalysisoffluorescencelifetimeimages AT chityawfu enhancementofearlycervicalcancerdiagnosiswithepitheliallayeranalysisoffluorescencelifetimeimages AT bengkoonng enhancementofearlycervicalcancerdiagnosiswithepitheliallayeranalysisoffluorescencelifetimeimages AT linboliu enhancementofearlycervicalcancerdiagnosiswithepitheliallayeranalysisoffluorescencelifetimeimages AT sookimlimtan enhancementofearlycervicalcancerdiagnosiswithepitheliallayeranalysisoffluorescencelifetimeimages AT carolineguatlaylee enhancementofearlycervicalcancerdiagnosiswithepitheliallayeranalysisoffluorescencelifetimeimages |