Literature DB >> 23650019

Unmet needs in the prediction and detection of metastases in prostate cancer.

Oliver Sartor1, Mario Eisenberger, Michael W Kattan, Bertrand Tombal, Frederic Lecouvet.   

Abstract

The therapeutic landscape for the treatment of advanced prostate cancer is rapidly evolving, especially for those patients with metastatic castration-resistant prostate cancer (CPRC). Despite advances in therapy options, the diagnostic landscape has remained relatively static, with few guidelines or reviews addressing the optimal timing or methodology for the radiographic detection of metastatic disease. Given recent reports indicating a substantial proportion of patients with CRPC thought to be nonmetastatic (M0) are in fact metastatic (M1), there is now a clear opportunity and need for improvement in detection practices. Herein, we discuss the current status of predicting the presence of metastatic disease, with a particular emphasis on the detection of the M0 to M1 transition. In addition, we review current data on newer imaging technologies that are changing the way metastases are detected. Whether earlier detection of metastatic disease will ultimately improve patient outcomes is unknown, but given that the therapeutic options for those with metastatic and nonmetastatic CPRC vary, there are considerable implications of how and when metastases are detected.

Entities:  

Keywords:  Imaging; Lymph nodes; Magnetic resonance imaging; Neoplasm metastasis; Prostatic neoplasms; Radionuclide imaging

Mesh:

Substances:

Year:  2013        PMID: 23650019      PMCID: PMC3662846          DOI: 10.1634/theoncologist.2013-0027

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  71 in total

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5.  Development, validation, and head-to-head comparison of logistic regression-based nomograms and artificial neural network models predicting prostate cancer on initial extended biopsy.

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Journal:  Eur Urol       Date:  2008-01-15       Impact factor: 20.096

6.  Whole-body magnetic resonance imaging in the detection of skeletal metastases in patients with prostate cancer.

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Journal:  J Med Imaging Radiat Oncol       Date:  2009-06       Impact factor: 1.735

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-05-09       Impact factor: 9.236

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Journal:  J Urol       Date:  2012-05-12       Impact factor: 7.450

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