A simplified classification for describing colposcopic vaginal patterns.
OBJECTIVE
This study aimed to highlight that colposcopic vaginal patterns are not specific, unlike cervical colposcopic patterns, and to provide a simpler classification of vaginal colposcopic patterns.


METHODS
A total of 223 patients who underwent colposcopy with Schiller test were assessed (hierarchical log-linear model) retrospectively.


RESULTS
The greatest predictability for histologically confirmed warts and cancers is represented by colposcopic patterns of wart and cancer. Lugol-negative area is strongly predictive of koilocytosis, even if it is found in other vaginal lesions. Thickened epithelium seems to better predict a severe vaginal lesion, whereas thin white epithelium better suggests a mild vaginal lesion. Colposcopic patterns were simplified as follows: Lugol-negative area, white epithelia (thin white epithelium and white thickened epithelium), vascular lesions (regular and irregular mosaicisms and punctations), wart, and cancer. Thus, koilocytosis is predicted by the Lugol-negative area, whereas white epithelia patterns and vascular patterns are not specific, suggesting overall vaginal intraepithelial neoplasias. Wart and cancer patterns are pathognomonic for histologically confirmed warts and cancers.


CONCLUSIONS
Vaginal colposcopy poorly predicts the severity of vaginal lesions. By including each type of white epithelium within a new category called "white epithelia patterns" and each type of vascular pattern within a new category called "vascular patterns," it is possible to simplify vaginal colposcopy without compromising its accuracy.
Department of Surgical Sciences, University of Foggia, Foggia, Italy. ugo.indraccolo@libero.it
Ugo
U
Indraccolo
Angelo
A
Baldoni
D003127:Colposcopy; D005260:Female; D006801:Humans; D014621:Vagina / Q000473:pathology*; D014623:Vaginal Diseases / Q000175:diagnosis* / Q000473:pathology*