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  2. Gleason grading system - Wikipedia

    en.wikipedia.org/wiki/Gleason_grading_system

    The most differentiated tumor would have the lowest score, Gleason 2 (1+1), while the most undifferentiated neoplasm (not resembling native prostate tissue) would have the highest score, Gleason 10 (5+5). Gleason scores range from 2 to 10; by definition there is no score of 0 or 1. [4] [7]

  3. Donald Gleason - Wikipedia

    en.wikipedia.org/wiki/Donald_Gleason

    Thus, any given patient could have a score of between two and ten——the higher the score, the more aggressive the cancer, and the lower the chance of survival. Gleason found the score directly related to survival rates in a study of 270 patients, which was the basis of his journal report.

  4. 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).

  5. Prostate cancer - Wikipedia

    en.wikipedia.org/wiki/Prostate_cancer

    The lowest possible Gleason score of 6 represents a biopsy most similar to healthy prostate; the highest Gleason score of 10 represents the most severely cancerous. [note 1] Gleason scores are commonly grouped into "Gleason grade groups", which predict disease prognosis: a Gleason score of 6 is Gleason grade group 1 (best prognosis). A score of ...

  6. Histopathologic diagnosis of prostate cancer - Wikipedia

    en.wikipedia.org/wiki/Histopathologic_diagnosis...

    The histopathologic subdiagnosis of prostate cancer has implications for the possibility and methodology of any subsequent Gleason scoring. [1] The most common histopathological subdiagnosis of prostate cancer is acinar adenocarcinoma, constituting 93% of prostate cancers. [ 2 ]

  7. Clinical prediction rule - Wikipedia

    en.wikipedia.org/wiki/Clinical_prediction_rule

    The investigators then obtain a standard set of clinical observations on each patient and a test or clinical follow-up to define the true state of the patient. They then use statistical methods to identify the best clinical predictors of the patient's true state. The probability of disease will depend on the patient's key clinical predictors.