2011
DOI: 10.1002/pros.21451
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Assessing the risk of lymph node invasion in patients with intermediate risk prostate cancer treated with extended pelvic lymph node dissection. A novel prediction tool

Abstract: The risk of having LNI varies significantly (3.7–20.1%) in patients with intermediate risk PCa. Our predictive tool might help selecting those patients suitable fore PLND, allowing to spare this approach in about 60% of intermediate risk patients.

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Cited by 14 publications
(7 citation statements)
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“…Although the risk of lymph node positivity in patients with intermediate risk disease is much lower than high risk disease, certain preoperative risk factors in intermediate risk patients can help guide surgeons on the likelihood of LNI. In a series of approximately 1,000 consecutive patients with intermediate risk disease, LNI was more commonly seen in patients with Gleason 7 disease and percentage of positive cores >63% (P<0.001) ( 22 ), irrespective of PSA value.…”
Section: Developing a Personalized Template For Lnd In Capmentioning
confidence: 99%
“…Although the risk of lymph node positivity in patients with intermediate risk disease is much lower than high risk disease, certain preoperative risk factors in intermediate risk patients can help guide surgeons on the likelihood of LNI. In a series of approximately 1,000 consecutive patients with intermediate risk disease, LNI was more commonly seen in patients with Gleason 7 disease and percentage of positive cores >63% (P<0.001) ( 22 ), irrespective of PSA value.…”
Section: Developing a Personalized Template For Lnd In Capmentioning
confidence: 99%
“…Therefore, nomograms have been developed to predict the risk of lymph node invasion (LNI), allowing the identification of patients for which ePLND can be safety spared (i.e. patients with a low probability of positive ePLND) [6]. The European Association of Urology (EAU) guidelines recommend the use of the updated Briganti nomogram for intermediate-or high-risk PC patients, which is based on extended dissection.…”
Section: Introductionmentioning
confidence: 99%
“…CART models have been used previously for prognosis classification in cancer and other diseases. 14 16 Various studies have performed CART analysis in colorectal cancer patients to search for biomarkers highly predictive of response to therapy in order to select patients for treatment 17 19 or to select genes for phenotypic classification. 20 , 21 However, to our knowledge, there are no validated prediction models, including CART models, for medium-term mortality among patients with colon cancer.…”
Section: Introductionmentioning
confidence: 99%