George K. Haines
Papers
2
Total Citations
38
H-Index
2
About
George K. Haines is a leading researcher in urologic oncology, with a primary focus on improving outcomes for prostate cancer patients through predictive modeling and precision medicine. His work centers on integrating advanced imaging techniques with genomic classifiers to better forecast disease progression and guide treatment decisions. Dr. Haines made a significant contribution with his 2019 study on predicting biochemical recurrence (BCR) in prostate cancer patients who underwent robotic-assisted laparoscopic prostatectomy (RALP). This research, which has garnered 28 citations, demonstrated the value of combining routine clinical prostate multiparametric MRI (mpMRI) with the Decipher genomic score to enhance risk stratification. In another notable 2019 study (10 citations), he developed the PCAP model, a predictive tool specifically designed to identify prostate cancer at the apex in patients undergoing robot-assisted radical prostatectomy. These contributions have helped bridge the gap between imaging and genomics, offering clinicians more accurate tools for personalized patient management. Dr. Haines’ work continues to influence the field by reducing overtreatment and improving prognostic accuracy in prostate cancer care.
Research Focus
Key Achievements
Top Papers
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