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Tumors may be graded on four-tier, three-tier, or two-tier scales, depending on the institution and the tumor type. The histologic tumor grade score along with the metastatic (whole-body-level cancer-spread) staging are used to evaluate each specific cancer patient, develop their individual treatment strategy and to predict their prognosis.
People have had severe infusion-related reactions to pembrolizumab. There have also been severe immune-related adverse effects including lung inflammation (including fatal cases) and inflammation of endocrine organs that caused inflammation of the pituitary gland, of the thyroid (causing both hypothyroidism and hyperthyroidism in different people), and pancreatitis that caused Type 1 diabetes ...
The Ki-67 score closely correlates with other proliferation markers, and has been shown to have prognostic and predictive value for many different tumor types. [9] Similarly, proliferating cell nuclear antigen (PCNA) is a protein associated with cell proliferation that is upregulated in proliferating cells, making it another useful antigen for ...
Conventional CT and MRI should be performed with cuts of 10 mm or less in slice thickness contiguously. Spiral CT should be performed using a 5 mm contiguous reconstruction algorithm. This applies to tumors of the chest, abdomen and pelvis. Head and neck tumors and those of extremities usually require specific protocols.
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
The WHO Classification of Tumours, more commonly known as the WHO Blue Books, is a series of books that classify tumours.They are compiled by expert consensus and published by the World Health Organization's (WHO) International Agency for Research on Cancer (IARC).
Most cellular deconvolution algorithms consider an input data in a form of a matrix , which represents some molecular information (e.g. gene expression data or DNA methylation data) measured over a group of samples and marks (e.g. genes or CpG sites).
The F-score combines precision and recall into one number via a choice of weighing, most simply equal weighing, as the balanced F-score . Some metrics come from regression coefficients : the markedness and the informedness , and their geometric mean , the Matthews correlation coefficient .