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Screening for squamous intraepithelial lesions with fluorescence spectroscopy

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Abstract

Objective: To evaluate the accuracy of fluorescence spectroscopy in screening for squamous intraepithelial lesions (SILs) and to compare its performance with that of Papanicolaou smear screening, colposcopy, cervicoscopy, cervicography, and human papillomavirus (HPV) testing.

Data Sources: Receiver operating characteristic (ROC) curve analysis was used to analyze performance by fluorescence spectroscopy (primary data) and other methods (secondary data).

Methods of Study Selection: In our search, 275 articles were identified in MEDLINE (1966–1996). Articles were included if the investigators had studied a population in whom low disease prevalence was expected; used either Papanicolaou smear screening and colposcopy or colposcopically directed biopsy as a standard against which the screening technique was measured, and included enough data for recalculation of reported sensitivities and specificities.

Tabulation, Integration, and Results: Receiver operating characteristic curves for fluorescence spectroscopy were calculated using a Bayesian algorithm, and ROC curves for the other screening methods were constructed using meta-analytic techniques. Areas under the ROC curves and Q points were calculated. Screening colposcopy had the highest area under the curve (0.95), followed by screening cervicography (0.90), HPV testing (0.88), cervicoscopy (0.85), fluorescence spectroscopy (0.76), and Papanicolaou smear screening (0.70).

Conclusion: In terms of screening for SILs, fluorescence spectroscopy performed better than the standard technique, Papanicolaou smear screening, and less well than screening colposcopy, cervicography, HPV testing, and cervicoscopy. The promise of this research technique warrants further investigation.

Section snippets

Data sources

Two methods of data collection were required for this study. For fluorescence spectroscopy, we used primary data collected from women in the screening setting.5 Subjects in the clinical study were recruited using an advertisement offering a free screening Papanicolaou smear, cancer-screening gynecologic examination, colposcopic examination, and fluorescence spectroscopic measurement of the cervix. Women were scheduled for screening if they had no histories of abnormal Papanicolaou smears, had

Tabulation and integration

Bayesian statistical methods were used to classify primary data collected with fluorescence spectroscopy. Details of the algorithm have been reported elsewhere.3, 4 The results of the algorithm were used to determine an ROC curve and calculate the area under the curve using the Excel software program (Microsoft Corp., Redmond, WA) following the method of Metz7 and Moses et al.10

For the other screening techniques, data from the published studies were used to reproduce the reported calculations

Results

The ROC curve calculated for fluorescence spectroscopy using Bayesian statistical methods is presented in Figure 1. The area under the curve was 0.76. The ROC curves for Papanicolaou smear screening, colposcopy, cervicoscopy, cervicography, and HPV testing are shown individually in Figure 2. The curves for all screening techniques are superimposed in Figure 3. The areas under the curves were 0.70 for Papanicolaou smear screening, 0.95 for colposcopy, 0.85 for cervicoscopy, 0.90 for

Discussion

Cervical cancer is a disease for which screening is suitable because it is a serious disease for which early treatment is beneficial. Good screening tests should be easy to administer, be inexpensive, and cause minimal discomfort. Papanicolaou smear screening meets those requirements, although as assessed by Fahey et al,11 it has a sensitivity of 58% and specificity of 68%. Given these low levels, strategies that increase sensitivity and specificity may be called for. Adding a second screening

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