Abstract
Making predictions is an essential part of any medical decision. It is particularly crucial when considering treatment of clinically localized prostate cancer. Nomograms and prediction model software typically provide the most accurate predictions. Many nomograms have been developed, for all prostate cancer clinical states. Some of these are discussed in this review, as is their utility in facilitating decision making and informed consent.
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Dr Kattan is a founder and Scientific Advisory Board Chairman for Oncovance Technologies, Inc (Houston, TX).
Glossary
- CONFIDENCE INTERVAL
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An estimated range of values (based on a given set of sample data) that has a specified probability of containing the value being estimated
- CONCORDANCE INDEX
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An index used to measure the accuracy of a predictive model, ranging from 0.5 (no discriminating ability) to 1.0 (perfect discrimination)
- GLEASON GRADE
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The grade assigned to each of the two largest cancerous areas of tissue samples; grades range from 1 (least aggressive) to 5 (most aggressive)
- PARTIN TABLES
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Tables that predict the pathologic stage of prostate cancer using Gleason sum, PSA, and clinical stage
- GLEASON SUM
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Sum of grades assigned to the two largest cancerous areas of tissue samples; grades range from 1 (least aggressive) to 5 (most aggressive)
- CONFORMAL RADIOTHERAPY
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Computers create a three-dimensional image of the tumor so that multiple radiation beams can be shaped exactly to contours of treatment area
- KARNOFSKY PERFORMANCE STATUS
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A 0 (dead) to 100 (fully active) scoring system to assess the wellbeing of cancer patients and their ability to perform ordinary tasks
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Kattan, M. When and how to use informatics tools in caring for urologic patients. Nat Rev Urol 2, 183–190 (2005). https://doi.org/10.1038/ncpuro0144
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DOI: https://doi.org/10.1038/ncpuro0144
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