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  2. Prostate cancer staging - Wikipedia

    en.wikipedia.org/wiki/Prostate_cancer_staging

    A more refined prognosis can be established by consideration of prostate-specific antigen, and grade (i.e. Gleason score in the Gleason grading system). For example, it is common to classify patients into high, intermediate and low-risk groups on the basis of these three factors (TNM stage, PSA and Gleason score).

  3. Gleason grading system - Wikipedia

    en.wikipedia.org/wiki/Gleason_grading_system

    Pattern 5 - The tissue does not have any or only a few recognizable glands. There are often just sheets of cells throughout the surrounding tissue. This corresponds to an anaplastic carcinoma. In the present form of the Gleason system, prostate cancer of Gleason patterns 1 and 2 are rarely seen. Gleason pattern 3 is by far the most common.

  4. Prostate cancer - Wikipedia

    en.wikipedia.org/wiki/Prostate_cancer

    Prostate cancer is the uncontrolled growth of cells in the prostate, a gland in the male reproductive system below the bladder.Abnormal growth of the prostate tissue is usually detected through screening tests, typically blood tests that check for prostate-specific antigen (PSA) levels.

  5. Prostate cancer screening - Wikipedia

    en.wikipedia.org/wiki/Prostate_cancer_screening

    Prostate cancer screening is the screening process used to detect undiagnosed prostate cancer in men without signs or symptoms. [1] [2] When abnormal prostate tissue or cancer is found early, it may be easier to treat and cure, but it is unclear if early detection reduces mortality rates.

  6. Doubling time - Wikipedia

    en.wikipedia.org/wiki/Doubling_time

    For example, with an annual growth rate of 4.8% the doubling time is 14.78 years, and a doubling time of 10 years corresponds to a growth rate between 7% and 7.5% (actually about 7.18%). When applied to the constant growth in consumption of a resource, the total amount consumed in one doubling period equals the total amount consumed in all ...

  7. Median follow-up - Wikipedia

    en.wikipedia.org/wiki/Median_follow-up

    In statistics, median follow-up is the median time between a specified event and the time when data on outcomes are gathered. The concept is used in cancer survival analyses. [citation needed] Many cancer studies aim to assess the time between two events of interest, such as from treatment to remission, treatment to relapse, or diagnosis to death.

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