To create a nomogram that can predict the probability of prostate cancer using prostate health index (PHI) and clinical parameters of patients. And the optimal cut-off value of PHI for prostate cancer was also assessed.
A prospective, multi-center study was conducted. PHI was evaluated prior to biopsy in patients requiring prostate biopsy due to high prostate-specific antigen (PSA). Among screened 1,010 patients, 626 patients with clinically suspected prostate cancer with aged 40 to 85 years, and with PSA levels ranging from 2.5 to 10 ng/mL were analyzed.
Among 626 patients, 38.82% (243/626) and 22.52% (141/626) were diagnosed with prostate cancer and clinically significant prostate cancer, respectively. In the PSA 2.5 to 4 ng/mL group, the areas under the curve (AUCs) of the nomograms for overall prostate cancer and clinically significant prostate cancer were 0.796 (0.727-0.866; p<0.001), and 0.697 (0.598-0.795; p=0.001), respectively. In the PSA 4 to 10 ng/mL group, the AUCs of nomograms for overall prostate cancer and clinically significant prostate cancer were 0.812 (0.783-0.842; p<0.001), and 0.839 (0.810-0.869; p<0.001), respectively.
Even though external validations are necessary, a nomogram using PHI might improve the prediction of prostate cancer, reducing the need for prostate biopsies.
The world journal of men's health. 2023 Apr 10 [Epub ahead of print]
Jae Hoon Chung, Jeong Hyun Kim, Sang Wook Lee, Hongzoo Park, Geehyun Song, Wan Song, Minyong Kang, Hyun Hwan Sung, Hwang Gyun Jeon, Byong Chang Jeong, Seong Il Seo, Hyun Moo Lee, Seong Soo Jeon
Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea., Department of Urology, Kangwon National University School of Medicine, Chuncheon, Korea. ., Department of Urology, Kangwon National University School of Medicine, Chuncheon, Korea., Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. .