Initial neural net construction for the detection of cervical intraepithelial neoplasia by fluorescence imaging.
OBJECTIVE
The aim of this study was to initiate neural net construction for the detection of cervical intraepithelial neoplasia by fluorescence imaging.


METHODS
Thirty-three women with abnormal Papanicolaou smears underwent fluorescence imaging during colposcopy. With the use of >4000 training pixels and >1000 test pixels, intrapatient nets were constructed from the spectral data of 17 women. An interpatient net that discriminated between cervical intraepithelial neoplasia 1 and normal tissue classes among patients was constructed with the use of >2300 training pixels and >2000 test pixels from 12 women. Average correct classification rates were determined. Sensitivities, specificities, and positive and negative predictive values for cervical intraepithelial neoplasia grade 1 and normal tissue classes were calculated. Extrapolated false-color cervical images were generated.


RESULTS
Average correct classification rates were 96.5% for the intrapatient nets and 97.5% for the interpatient net. The sensitivity, specificity, and positive and negative predictive values for cervical intraepithelial neoplasia grade 1 were 98.2%, 98.9%, 71.4%, and 99.9%, respectively.


CONCLUSIONS
Initial results suggest that neural nets that are constructed from fluorescence imaging spectra may offer a potential method for the detection of cervical intraepithelial neoplasia.
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Walter Reed Army Medical Center, Washington, DC, USA.
Mary F
MF
Parker
Gregory C
GC
Mooradian
Gordon S
GS
Okimoto
Dennis M
DM
O'Connor
Kunio
K
Miyazawa
Steven J
SJ
Saggese
D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D016571:Neural Networks, Computer; D011237:Predictive Value of Tests; D012680:Sensitivity and Specificity; D013050:Spectrometry, Fluorescence / Q000379:methods*; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis* / Q000473:pathology; D002578:Uterine Cervical Dysplasia / Q000175:diagnosis* / Q000473:pathology