Potential of visual inspection with acetic acid as a screening test in comparison to conventional papanicolaou smear in detection of colposcopic biopsy proven cervical intraepithelial neoplasia: A tertiary centre experience

Author(s):  
Manisha Bajaj ◽  
Shamshad Ahmad ◽  
Shubha Trivedi
Folia Medica ◽  
2019 ◽  
Vol 61 (2) ◽  
pp. 289-295 ◽  
Author(s):  
Monira M. Gad ◽  
Salma B. Galal ◽  
Wafaa Helmy ◽  
Naela H Abd El-Fattah

Abstract Background: Cervical cancer is the tenth most frequent cancer in Egyptian women. The Papanicolaou screening test is not suitable for rural area as most follow-up consultations never take place. Aim: To evaluate visual inspection of the cervix with acetic acid as a screening test. Materials and methods: According to the inclusion criteria, women aged 25-60 years commuting to a gynecological out-patient clinic at the University Hospital went through a visual inspection of the cervix with acetic acid (VIA). Exclusion criteria were women below 25 years, unmarried, pregnant, menstruating, known to have cancer, having a precancerous lesion or a cervical operation. Multiple punch biopsies were done for all VIA positive cases and a subsample of the VIA negative cases underwent the same. Cervical intraepithelial neoplasia (CIN) was evaluated. In addition, the site of the lesion was assessed. SPSS was used for the statistical analysis. Results: Of the 379 screened women, 17.1% were found to be VIA positive. The sensitivity was found to be 91.3% (79.6%–96.5%) and the specificity 68.5% (57.1%–77.9%). Significantly more women with positive punch biopsies complained of contact bleeding than those with negative punch biopsies. CIN2 and CIN3 were mostly found (77.8%) in the right quadrant, while 74% of CIN1 was found in the lower right and left quadrant. Conclusion: VIA is weak as a test to stand alone but may need a combination with other indicators such as the location of the lesion on the right side of the cervix or contact bleeding. A combined indicator may detect precancerous cervix.


2019 ◽  
Vol 31 (1) ◽  
pp. 15-20
Author(s):  
Nargis Zahan ◽  
Mosammat Nargis Shamima ◽  
Sharmin Sultana ◽  
Mohd Alamgir Hossain

Background: Cervical cancer is the second most common cancer in women throughout the world, and it is the leading cause of cancer death among women in underdeveloped countries like Bangladesh is preventable and curable if detected at and early stage using proper screening tools. This study was done to see the effectiveness of VIA and find out the CIN and introduce as a complementary to cytology for diagnosing precancerous form of cervix. Materials & Methods: A total 175 subjects were studied & relevant data of cervix related patients have been collected. The data regarding Pap smear, VIA and biopsy have been taken and collected data was analysis by SPSS. Results: Out of 175 Patients VIA positive 53 (30.3%), Pap smear reports, 84 (48.0%) had inflammatory findings and 38 (21.7%) had dysplasia and biopsy result 41(23.4%) CIN positive. Sensitivity of VlA was 90.2%, specificity 88.1%, PPV 69.8%, NPV 96.7% and accuracy 88.6%. Sensitivity of Pap smear reports was 80.5%, specificity 96.3%, PPV 86.8%, NPV 94.2% and accuracy 92.6%. Conclusion: Visual inspection of cervix after application of acetic acid (VIA) is valid as cytology test for the identification of pre-invasive cervical cancer (CIN). Thus VIA is a useful screening method of Cervical Intraepithelial Neoplasia lesion as Pap smear. TAJ 2018; 31(1): 15-20


2018 ◽  
Author(s):  
Mercy Nyamewaa Asiedu ◽  
Anish Simhal ◽  
Usamah Chaudhary ◽  
Jenna L. Mueller ◽  
Christopher T. Lam ◽  
...  

AbstractGoalIn this work, we propose methods for (1) automatic feature extraction and classification for acetic acid and Lugol’s iodine cervigrams and (2) methods for combining features/diagnosis of different contrasts in cervigrams for improved performance.MethodsWe developed algorithms to pre-process pathology-labeled cervigrams and to extract simple but powerful color and textural-based features. The features were used to train a support vector machine model to classify cervigrams based on corresponding pathology for visual inspection with acetic acid, visual inspection with Lugol’s iodine, and a combination of the two contrasts.ResultsThe proposed framework achieved a sensitivity, specificity, and accuracy of 81.3%, 78.6%, and 80.0%, respectively when used to distinguish cervical intraepithelial neoplasia (CIN+) relative to normal and benign tissues. This is superior to the average values achieved by three expert physicians on the same data set for discriminating normal/benign cases from CIN+ (77% sensitivity, 51% specificity, 63% accuracy).ConclusionThe results suggest that utilizing simple color- and textural-based features from visual inspection with acetic acid and visual inspection with Lugol’s iodine images may provide unbiased automation of cervigrams.SignificanceThis would enable automated, expert-level diagnosis of cervical pre-cancer at the point-of-care.


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