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However, it is acceptable to screen this age group with a Pap smear alone every 3 years or with an FDA-approved primary high risk HPV test every 5 years. [11] In women over the age of 65, screening for cervical cancer may be discontinued in the absence of abnormal screening results within the prior 10 years and no history of high-grade lesions ...
The Papanicolaou test (abbreviated as Pap test, also known as Pap smear (AE), [1] cervical smear (BE), cervical screening (BE), [2] or smear test (BE)) is a method of cervical screening used to detect potentially precancerous and cancerous processes in the cervix (opening of the uterus or womb) or, more rarely, anus (in both men and women). [3]
This tissue is sent for pathology testing to assign a histologic classification that is more definitive than a Pap smear result (which is a cytologic finding). HSIL generally corresponds to the histological classification of CIN 2 or 3. [citation needed] HSIL treatment involves the removal or destruction of the affected cells, usually by LEEP.
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The risk for anal cancer is 17 to 31 times higher among HIV-positive individuals who were coinfected with high-risk HPV, and 80 times higher for particularly HIV-positive men who have sex with men. [65] Anal Pap smear screening for anal cancer might benefit some subpopulations of men or women engaging in anal sex. [66]
The two screening methods available are the Pap smear and testing for HPV. CIN is usually discovered by a screening test, the Pap smear. The purpose of this test is to detect potentially precancerous changes through random sampling of the transformation zone. Pap smear results may be reported using the Bethesda system (see above).
Papanicolaou stain (also Papanicolaou's stain and Pap stain) is a multichromatic (multicolored) cytological staining technique developed by George Papanicolaou in 1942. [ 1 ] [ 2 ] [ 3 ] The Papanicolaou stain is one of the most widely used stains in cytology , [ 1 ] where it is used to aid pathologists in making a diagnosis.
The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.