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Featured researches published by Stephen Barnhill.


Urology | 1998

Evaluation of ProstAsure Index in the Detection of Prostate Cancer: a Preliminary Report ☆

R. Joseph Babaian; Herbert A. Fritsche; Zhen Zhang; K.Hong Zhang; K.Rama Madyastha; Stephen Barnhill

OBJECTIVES Although prostate-specific antigen (PSA) has revolutionized the detection of prostate cancer, it has definite limitations with respect to its clinical sensitivity and specificity. Because a substantial number (20% to 40%) of men undergoing radical prostatectomy have a PSA level of 4.0 ng/mL or less, any new test offering diagnostic improvement must perform well in patients whose PSA level is less than or equal to 4.0 ng/mL, as well as in patients whose PSA is greater than 4.0 ng/mL. The performances of two tests, the ProstAsure index and the percent free PSA test, were evaluated in detecting cancer. METHODS We retrospectively analyzed serum samples from 225 men who were grouped into three categories: 94 men who had a normal digital rectal examination and a serum PSA level of 4.0 ng/mL or less, 77 men who were clinically suspected of having benign prostatic hyperplasia (BPH) with a serum PSA level of 4.0 ng/mL or less, and 54 men with localized prostate cancer. The PSA assays were performed using the Hybritech and Tosoh assays and the ProstAsure index was determined by Global Health Net, Savannah, Ga. Receiver operator characteristic (ROC) curves were constructed to evaluate the performance of these two tests, and the areas under the curve were compared for significance. RESULTS The sensitivity and specificity of detecting prostate cancer using ProstAsure were 93% and 81%, respectively. Using a cutoff value of 15%, the sensitivity and specificity of detecting cancer for percent free PSA were 80% and 74%, respectively (sensitivity increased to 93% and specificity to 59% for free PSA at 19%). In men with a total serum PSA level of 4.0 ng/mL or less, ProstAsure had a lower false-positive rate compared to free PSA level at 19% for men with or without clinical BPH as well as for men without clinical BPH using a 15% free PSA threshold. ProstAsure left fewer cancers undetected (7%) compared to free PSA at the 15% cutoff (20%). CONCLUSIONS In this study of selected men, ROC curve analysis shows a statistically significant advantage in performance (P = 0.0023) for the ProstAsure index compared to free PSA in detecting prostate cancer.


Archive | 2000

Method for enhancing knowledge discovered from biological data using a learning machine

Stephen Barnhill; Isabelle Guyon; Jason Weston


Archive | 2000

System for identifying patterns in biological data using a distributed network

Stephen Barnhill; Isabelle Guyon; Jason Weston


Archive | 2000

Methods of identifying biological patterns using multiple data sets

Stephen Barnhill; Isabelle Guyon; Jason Weston


Archive | 2000

Enhancing biological knowledge discovery using multiples support vector machines

Stephen Barnhill; Isabelle Guyon; Jason Weston


Archive | 2010

System and method for remote melanoma screening

Isabelle Guyon; Stephen Barnhill


Archive | 2007

Feature selection method using support vector machine classifier

Stephen Barnhill; Isabelle Guyon; Jason Weston


Archive | 2001

Methods and devices for identifying patterns in biological systems and methods for uses thereof

Stephen Barnhill; Isabelle Guyon; Jason Weston


Archive | 2000

Methods and devices for identifying patterns in biological systems

Stephen Barnhill; Isabelle Guyon; Jason Weston


Archive | 2010

System for providing data analysis services using a support vector machine for processing data received from a remote source

Stephen Barnhill; Isabelle Guyon; Jason Weston

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Jason Weston

University of California

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Isabelle Guyon

University of California

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Isabelle Guyon

University of California

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Herbert A. Fritsche

University of Texas MD Anderson Cancer Center

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Li-Ying Yang

University of Texas System

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R. Joseph Babaian

University of Texas MD Anderson Cancer Center

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