A Comparative Diagnostic Validity of Two Colposcopic Indices-Reids Index and Swede Score with Cervical Histology

Abstract Introduction: The cervical cancer is the third most common Cancer worldwide and the second most common in India. Since it has a long lag time from preinvasive stage to invasive stage, it is the duty to prevent by proper screening and treatment at the right time. Materials and Methods: All patients with age group 20 to 59 years with abnormal screening test are selected for the study with the sample size of 167. Relevant information, detailed history regarding past history regarding past history, marital history, obstetric history are recorded using preformed proforma. Oral and written consent are obtained. Colposcopy will be done for the patients of study and the visualization of cervix was done under magnification and findings were noted. The margins of the atypical cervical epithelium were graded accordingly and scores will be allotted as per both REIDS index and SWEDE score. Colposcopy directed biopsy from abnormal areas were taken. Patient will be explained about nature of study and informed consent is obtained. The results will be scored by statistical methods. Conclusion: Based on the study, it was concluded that both scores-REIDS COLPOSCOPIC INDEX and SWEDE SCORE performed well in this hospital based study on a selected population referred to colposcopic clinic. From the present study, it is evident that SWEDE score of 8 or more has good specificity when compared to the REIDS COLPOSCOPIC INDEX and can be used for performing direct excisional procedure as a “see and treat” method at this cutoff. Hence LESION SIZE parameter included in SWEDE SCORE act as a good predictor of high-grade lesions. This may be the preferred method for the management of high grade CIN because it reduces the number of visits and failure to receive treatment. The main strength of the study is that biopsies were taken for all subjects irrespective of the presence or absence of lesion in colposcopy, eliminating the verification bias.