Technology Insight: Will systems pathology replace the pathologist? Journal Article


Authors: Saidi, O.; Cordon-Cardo, C.; Costa, J.
Article Title: Technology Insight: Will systems pathology replace the pathologist?
Abstract: By using systems pathology, it might be possible to provide a predictive, personalized therapeutic recommendation for patients with prostate cancer. Systems pathology integrates quantitative data and information from many sources to generate a reliable prediction of the expected natural course of the disease and response to different therapeutic options. In other words, through the integration of relatively large data sets and the use of knowledge engineering, systems pathology aims at predicting the future behavior of tumors and their interaction with the host. In this Review, we introduce the methods used in systems pathology and summarize a recent study providing the first evidence of a concept for this strategy. The results show that systems pathology can provide a personalized prediction of the risk of recurrence after prostatectomy for cancer.
Keywords: cancer survival; clinical feature; histopathology; review; cancer recurrence; outcome assessment; recurrence risk; cancer grading; diagnostic accuracy; sensitivity and specificity; prostate specific antigen; image analysis; pathology; risk assessment; prostate cancer; gleason score; prostatic neoplasms; physicians; algorithm; computer assisted diagnosis; diagnostic value; prostatectomy; laboratory test; prostate biopsy; cancer classification; information systems; pathologist; image display; artificial neural network; systems pathology; technology, medical; computer system; quantitative diagnosis; pathology automation; predictive medicine
Journal Title: Nature Clinical Practice Urology
Volume: 4
Issue: 1
ISSN: 1743-4270
Publisher: Nature Publishing Group  
Date Published: 2007-01-01
Start Page: 39
End Page: 45
Language: English
DOI: 10.1038/ncpuro0669
PUBMED: 17211424
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 19" - "Export Date: 17 November 2011" - "Source: Scopus"
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