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KMID : 1037120240420010168
The World Journal of Men¡Çs Health
2024 Volume.42 No. 1 p.168 ~ p.177
Nomogram Using Prostate Health Index for Predicting Prostate Cancer in the Gray Zone: Prospective, Multicenter Study
Chung Jae-Hoon

Kim Jeong-Hyun
Lee Sang-Wook
Park Hong-Zoo
Song Gee-Hyun
Song Wan
Kang Min-Yong
Sung Hyun-Hwan
Jeon Hwang-Gyun
Jeong Byong-Chang
Seo Seong-Il
Lee Hyun-Moo
Jeon Seong-Soo
Abstract
Purpose: 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.

Materials and Methods: 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.

Results: 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.

Conclusions: Even though external validations are necessary, a nomogram using PHI might improve the prediction of prostate cancer, reducing the need for prostate biopsies.
KEYWORD
Diagnosis, Nomogram, Prostate cancer, Risk
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