D G McLeod

发表

3-D computer visualization and interactive prostate biopsy simulation leads to an improved systematic technique for the detection of prostate cancer: clinical correlation.

S K Mun, R R Connelly, I A Sesterhenn, 2000, Studies in health technology and informatics.

Artificial neural network model for the assessment of lymph node spread in patients with clinically localized prostate cancer.

A W Partin, E J Gamito, A. Partin, 2001, Urology.

Androgen receptor mutation (T877A) promotes prostate cancer cell growth and cell survival

S. Srivastava, Y. Shi, D. Mcleod, 2006, Oncogene.

ERG oncoprotein expression in prostate cancer: clonal progression of ERG-positive tumor cells and potential for ERG-based stratification

S-H Tan, S. Srivastava, I. Sesterhenn, 2010, Prostate Cancer and Prostatic Diseases.

The use of artificial intelligence technology to predict lymph node spread in men with clinically localized prostate carcinoma

A W Partin, E D Crawford, E J Gamito, 2000, Cancer.

Ki-67 expression is a prognostic marker of prostate cancer recurrence after radical prostatectomy.

J W Moul, F. Mostofi, J. Moul, 1996, The Journal of urology.

A novel androgen-regulated gene, PMEPA1, located on chromosome 20q13 exhibits high level expression in prostate.

J W Moul, J. Moul, S. Srivastava, 2000, Genomics.

Estimating the cost effectiveness of total androgen blockade with flutamide in M1 prostate cancer.

E D Crawford, B E Hillner, E. Crawford, 1995, Urology.

Multicenter patient self-reporting questionnaire on impotence, incontinence and stricture after radical prostatectomy.

J W Moul, J. Moul, J. Thrasher, 2000, The Journal of urology.