Biopsy site selection during colposcopy and distribution of cervical intraepithelial neoplasia.

OBJECTIVE: To determine if sites selected for colposcopic biopsy and histologically proven cervical intraepithelial neoplasia are distributed randomly across the cervix. MATERIALS AND METHODS: Data were evaluated from all patients who visited the Walter Reed Army Medical Center Colposcopy Clinic during a 20-month period. chi analysis was performed to assess the randomness of distribution of biopsies and cervical intraepithelial neoplasia. RESULTS: In 303 patients, 479 biopsies were performed. The 11-, 12-, and 1-o'clock positions were selected for 190 of 479 (40%) of biopsies, whereas the 6- and 12-o'clock positions were chosen for 186 of 479 (39%) of biopsies (p < 0.0001). Of 479 specimens, 161 (34%) were diagnosed as low-grade and 57 (12%) were diagnosed as high-grade. The 6-, 11-, and 12-o'clock positions accounted for 32 of 57 (56%) high-grade biopsies (p < 0.0001). The 6- and 12-o'clock positions accounted for 61 of 161 (38%) low-grade biopsies (p < 0.0001). CONCLUSIONS: Loci selected for biopsy and histologically confirmed cervical intraepithelial neoplasia are not randomly distributed across the cervix. There is a predilection for the locations anterior and posterior to the cervical os.

Measurement of endocervical canal extension of the transformation zone on fresh hysterectomy specimens.

OBJECTIVE: Determine the extent of endocervical canal extension of the transformation zone on fresh hysterectomy specimens. MATERIALS AND METHODS: After removal for standard gynecologic indications, 201 uteri were evaluated in the pathology accessioning area of a community hospital before formalin fixation. Uteri were opened in standard fashion. The length of the endocervical canal and the distance from the external cervical os to the most cranial extension of the squamocolumnar junction (SCJ) into the canal were measured grossly to the nearest millimeter. Patient age, menopausal status, and indication for surgery were extracted from the pathology consultation sheet. RESULTS: The upper limit of the SCJ was located within the canal in 188 of 201 cases (93.5%), including 152 of 162 premenopausal cases (93.8%), 25 of 27 postmenopausal cases (92.6%), and 11 of 12 cases of unknown postmenopausal status (91.7%). The mean distance of SCJ extension was 3.8 mm (SD, 2.5 mm), with a trend toward a shorter distance in the postmenopausal women. The SCJ distance was > or =10 mm in 5 of 188 women (2.7%), all of whom were premenopausal, and > or =5 mm in 41 of 188 women (21.8%). Among women with SCJ extension into the canal, the mean canal length was 33.2 mm (SD, 5.4 mm) for the premenopausal women and 28.3 mm (SD, 5.6 mm) for the postmenopausal women (p < .001). CONCLUSIONS: Postmenopausal status and advancing age were not associated with an increased depth of the SCJ into the endocervical canal. The high rates of unsatisfactory colposcopy reported for postmenopausal women are more likely the result of anatomic changes precluding visualization of the canal rather than the skill of the colposcopist. A device designed to detect cervical intraepithelial neoplasia within the cervical canal should be capable of evaluating to a depth exceeding 5 mm.

Discrepancy in the interpretation of cervical histology by gynecologic pathologists.

OBJECTIVE: To determine if subspecialty review of cervical histology improves diagnostic consensus of cervical intraepithelial neoplasia (CIN). METHODS: After routine histologic assessment within the hospital pathology department, 119 colposcopic cervical biopsies were interpreted by two subspecialty-trained gynecologic pathologists (GYN I and GYN II) blinded to each other's interpretations and to the interpretations of the hospital general pathologists (GEN). Biopsies were classified as normal (including cervicitis), low grade (LG, including CIN I and human papillomavirus changes), and high grade (HG, including CIN II/III). The interobserver agreement rates between GEN and GYN I, between GEN and GYN II, and between GYN I and GYN II were described using the kappa statistic. The proportions of biopsies assigned to each biopsy class were compared using McNemar test. RESULTS: Interobserver agreement rates between GEN and GYN I were moderate for normal (kappa = 0.53) and LG (kappa = 0.46) and excellent for HG (kappa = 0.76). There were no significant differences in the classifications between GEN and GYN I. Interobserver agreement rates between GEN and GYN II were moderate for normal (kappa = 0.50) and LG (kappa = 0.44) and excellent for HG (kappa = 0.84). Also, GYN II was significantly more likely to classify biopsies as normal (P <.001) and less likely to classify biopsies as LG (P <.001). The interobserver agreement rates between GYN I and GYN II were moderate for normal (kappa = 0.61) and LG (kappa = 0.41) and excellent for HG (kappa = 0.84). Also, GYN II was significantly more likely to classify biopsies as normal (P <.001) and less likely to classify biopsies as LG (P =.01). CONCLUSION: Interobserver agreement between two gynecologic pathologists was no better than that observed between general and gynecologic pathologists. Subspecialty review of cervical histology does not enhance diagnostic consensus of CIN.

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. STUDY DESIGN: 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. CONCLUSION: 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.