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Normal cervical cells in a Pap smear. In the conventional Pap smear, the collected cells are smeared on a microscope slide, and a fixative is applied. The slide is evaluated in a pathology lab to identify cellular abnormalities. Accuracy of conventional cytology report: [10] sensitivity: 55% to 88%; specificity: 71% to 94%
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]
Peter Dazeley/Getty Images If you can’t remember when you had your last pap smear, there’s a chance you might be due for another. ... or two negative co-test results (HPV and pap smear) in a ...
The task force has introduced a recommendation that women over the age of 30 test for high-risk human papilloma viruses (HPV) every five years rather than relying on pap smears to detect cervical ...
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]
Some women experience temporary bleeding from this procedure. The scrapings are placed on a slide, covered with a fixative for later examination under a microscope to determine if they are normal or abnormal. [19] Depending on patient's age or Pap smear result, HPV testing may also be performed.
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).
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.