Published early online in CANCER, a peer-reviewed journal of the American Cancer Society, the study found that there is no link between localized prostate cancer's clinical stage and a patient's risk of cancer recurrence after having his prostate removed.
One of the primary purposes of staging prostate cancers is to help physicians determine a patient's prognosis. For example, a more advanced clinical stage should indicate a higher risk of cancer recurrence after treatment. Surprisingly, however, researchers have found that clinical stage is of questionable utility for predicting disease recurrence after surgical removal of the prostate (radical prostatectomy) in patients with localized prostate cancer.
Adam Reese, MD, of the University of California, San Francisco, and his colleagues questioned whether staging errors are responsible for this discrepancy. In other words, do physicians often inaccurately stage prostate cancer cases, and if so, does this account for the inconsistent reliability of clinical staging for predicting prostate cancer outcomes?
The investigators found that clinical stage was assigned incorrectly in 35.4 percent of 3,875 men in a multi-institutional national disease registry. The majority of these staging errors occurred because physicians frequently disregarded the results of transrectal ultrasound tests and incorrectly incorporated biopsy results when assigning stage.
Even after correcting these staging errors, however, there was no association between clinical stage and prostate cancer recurrence after radical prostatectomy. "Our findings question the utility of our current staging system for localized prostate cancer," said Dr. Reese.
Jennifer Beal | EurekAlert!
Study relating to materials testing Detecting damages in non-magnetic steel through magnetism
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New design tool automatically creates nanostructure 3D-print templates for user-given colors
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Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
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Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
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