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High-grade prostatic intraepithelial neoplasia. HGPIN typically has one of four different histologic patterns: [2] tufted (fascicular patterning) micropapillary, cribriform and, flat. Its cytologic features are that of prostatic adenocarcinoma: presence of nucleoli, increased nuclear-to-cytoplasmic ratio and, increased nuclear size.
Gleason 3 is a clearly infiltrative neoplasm, with extension into adjacent healthy prostate tissue. The glands alternate in size and shape, and are often long/angular. They are usually small/micro-glandular in comparison to Gleason 1 or 2 grades. However, some may be medium to large in size.
The diagnostic criterion of nuclear size at least 6 times normal is ambiguous as size could refer to either nuclear area or diameter. If area, then this criterion could be re-defined as nuclear diameter at least three times normal as it is difficult to visually compare area of nuclei. [ 20 ]
However, high magnification (right image) shows the key feature of prominent nucleoli (visible at 200x magnification to make the diagnosis of "high-grade"), as well as other typical features of HGPIN. Reference for features: - Margaret Sanders, M.B.B.Ch., Murali Varma, M.B.B.S.. High grade prostatic intraepithelial neoplasia (HGPIN).
The International Prognostic Index (IPI) is a clinical tool developed by oncologists to aid in predicting the prognosis of patients with aggressive non-Hodgkin's lymphoma. Previous to IPI's development, the primary consideration in assessing prognosis was the Ann Arbor stage alone, but this was increasingly found to be an inadequate means of ...
The Nottingham prognostic index (NPI) is used to determine prognosis following surgery for breast cancer. [1] [2] Its value is calculated using three pathological criteria: the size of the tumour; the number of involved lymph nodes; and the grade of the tumour. [1] It is calculated to select patients for adjuvant treatment.
Physical activity may slightly reduce physical symptoms of chronic prostatitis but may not reduce anxiety or depression. Transrectal thermotherapy, where heat is applied to the prostate and pelvic muscle area, on its own or combined with medical therapy may cause symptoms to decrease slightly when compared with medical therapy alone. [7]
Data-driven prognostics usually use pattern recognition and machine learning techniques to detect changes in system states. [3] The classical data-driven methods for nonlinear system prediction include the use of stochastic models such as the autoregressive (AR) model, the threshold AR model, the bilinear model, the projection pursuit, the multivariate adaptive regression splines, and the ...