Q.

Which cytology tests are used to look for cancer?

Asked by Kavita Mishra ·

Medically reviewed by SecondMedic medical review team

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Answered by SecondMedic Expert

Oncologist · Cancer / Oncology / Cancer Surgery

Cytology tests are commonly used to look for cancer and its precursors. A cytology test is a microscopic examination of cells in the body, typically collected from a tissue sample or other bodily fluid such as blood, urine, or cerebrospinal fluid. Depending on the type of cancer being tested for, there are several different types of cytology tests that may be used.

The most commonly used cytology test for cancer screening is Pap smear (also known as cervical cytology). This involves collecting a sample of cells from the cervix using a flexible brush or swab after lubricating the area with diluted acetic acid (vinegar) to make visible any lesions present. The samples are then examined under a microscope by highly trained medical technologists in search of abnormal cell changes which could be an indication of precancerous disease or early stage cervical cancer itself.

Fluid-based cytology can also be used to detect traces of circulating tumor DNA (ctDNA) in body fluids such as blood, serum and plasma with potential applications in early detection and prognosis assessment for certain cancers including lung, breast and colorectal cancers. In this method cells are mixed with microscope slides that contains antibodies targeting specific proteins associated with particular types of cancer; if present on the surface membranes these proteins would bind to their respective antibodies resulting in “capture” events allowing them to be visualized under magnification - typically through fluorescent microscopy imaging techniques combined with computer assisted image analysis software programs identifying positive capture events against normal background noise.

Beyond Pap smears & ctDNA testing additional artificial intelligence-powered cytopathologic testing methods have recently been developed utilizing sophisticated AI algorithms which analyze images taken from biopsy samples stained using immunohistochemical markers such as chromogenic/fluorescent stains specific for various types cell components such as nucleic acids (DNA & RNA), glycoproteins etc., allowing automated recognition patterns indicative of potentially malignant conditions creating even more precise noninvasive tests than ever before available at lower cost per unit testing than conventional manual sampling protocols requiring professional laboratory staff involvement working across multiple shifts - all promising substantial improvements diagnosing and treating various forms cancer far into future!

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