1.Preliminary clinical practice of radical prostatectomy without preoperative biopsy.
Ranlu LIU ; Lu YIN ; Shenfei MA ; Feiya YANG ; Zhenpeng LIAN ; Mingshuai WANG ; Ye LEI ; Xiying DONG ; Chen LIU ; Dong CHEN ; Sujun HAN ; Yong XU ; Nianzeng XING
Chinese Medical Journal 2025;138(6):721-728
BACKGROUND:
At present, biopsy is essential for the diagnosis of prostate cancer (PCa) before radical prostatectomy (RP). However, with the development of prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) and multiparametric magnetic resonance imaging (mpMRI), it might be feasible to avoid biopsy before RP. Herein, we aimed to explore the feasibility of avoiding biopsy before RP in patients highly suspected of having PCa after assessment of PSMA PET/CT and mpMRI.
METHODS:
Between December 2017 and April 2022, 56 patients with maximum standardized uptake value (SUVmax) of ≥4 and Prostate Imaging Reporting and Data System (PI-RADS) ≥4 lesions who received RP without preoperative biopsy were enrolled from two tertiary hospitals. The consistency between clinical and pathological diagnoses was evaluated. Preoperative characteristics were compared among patients with different pathological types, T stages, International Society of Urological Pathology (ISUP) grades, and European Association of Urology (EAU) risk groups.
RESULTS:
Fifty-five (98%) patients were confirmed with PCa by pathology, including 49 (89%) with clinically significant prostate cancer (csPCa, defined as ISUP grade ≥2 malignancy). One patient was diagnosed with high-grade prostatic intraepithelial neoplasia (HGPIN). CsPCa patients, compared with clinically insignificant prostate cancer (cisPCa) and HGPIN patients, were associated with a higher level of prostate-specific antigen (22.9 ng/mL vs . 10.0 ng/mL, P = 0.032), a lower median prostate volume (32.2 mL vs . 65.0 mL, P = 0.001), and a higher median SUVmax (13.3 vs . 5.6, P <0.001).
CONCLUSIONS
It might be feasible to avoid biopsy before RP for patients with a high probability of PCa based on PSMA PET/CT and mpMRI. However, the diagnostic efficacy of csPCa with PI-RADS ≥4 and SUVmax of ≥4 is inadequate for performing a procedure such as RP. Further prospective multicenter studies with larger sample sizes are necessary to confirm our perspectives and establish predictive models with PSMA PET/CT and mpMRI.
Humans
;
Male
;
Prostatectomy/methods*
;
Prostatic Neoplasms/diagnosis*
;
Middle Aged
;
Aged
;
Positron Emission Tomography Computed Tomography/methods*
;
Biopsy
;
Multiparametric Magnetic Resonance Imaging
;
Prostate-Specific Antigen/metabolism*
2.Expert consensus on whole-course management of prostate cancer (2025 edition).
Chinese Journal of Oncology 2025;47(7):617-634
Prostate cancer represents a prevalent malignancy within the male genitourinary system. In recent years, its incidence in China has gradually increased, becoming a significant public health issue. While early detection correlates strongly with improved prognosis, the majority of newly diagnosed prostate cancer patients in China are already in intermediate or advanced stages, precluding curative-intent interventions and contributing to marked survival disparities. The progression of prostate cancer is lengthy, typically encompassing diagnosis, treatment, progression, metastasis, and death, accompanied by a decline in quality of life. Personalized treatment plans should be developed based on the disease stage and patient preferences. In non-metastatic prostate cancer, where the tumor is confined to the prostate, surgery and radiotherapy are the primary treatments, supplemented by neoadjuvant and adjuvant therapies to delay metastasis. For metastatic prostate cancer, systemic therapy is prioritized to prolong survival. In metastatic hormone-sensitive prostate cancer, controlling androgen levels is crucial, while treatment options for metastatic castration resistant prostate cancer are relatively limited, necessitating individualized and precise treatment. During prostate cancer management, prostate-specific antigen levels are closely linked to prognosis and require monitoring. Bone metastasis, the most common site in prostate cancer patients, often triggers skeletal-related events, demanding effective prevention and management. Treatment-related adverse reactions are also a clinical challenge, requiring balanced risk-benefit assessments and judicious drug selection to preserve quality of life. Rapid advancements in screening technologies, surgical innovations, drug development, and China-specific epidemiological factors further complicate decision-making in holistic prostate cancer management. To optimize the standardization of prostate cancer diagnosis and treatment in China, the Genitourinary Oncology Committee of Chinese Anti-cancer Association synthesized global guidelines, clinical evidence and clinical expertise, and addressed critical challenges in the whole-course management of prostate cancer to formulate a multidisciplinary consensus. The expert consensus on whole-course management of prostate cancer (2025 edition) establishes standardized protocols to guide clinical practice, improve treatment outcomes, and enhance patient quality of life.
Humans
;
Male
;
Prostatic Neoplasms/diagnosis*
;
Consensus
;
Prostate-Specific Antigen/blood*
;
Quality of Life
;
Prostatic Neoplasms, Castration-Resistant/pathology*
;
China
;
Bone Neoplasms/secondary*
;
Androgen Antagonists/therapeutic use*
3.Artificial intelligence in prostate cancer.
Wei LI ; Ruoyu HU ; Quan ZHANG ; Zhangsheng YU ; Longxin DENG ; Xinhao ZHU ; Yujia XIA ; Zijian SONG ; Alessia CIMADAMORE ; Fei CHEN ; Antonio LOPEZ-BELTRAN ; Rodolfo MONTIRONI ; Liang CHENG ; Rui CHEN
Chinese Medical Journal 2025;138(15):1769-1782
Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans
;
Prostatic Neoplasms/diagnosis*
;
Male
;
Artificial Intelligence
;
Deep Learning
;
Prognosis
4.A propensity score-matched analysis on biopsy methods: enhanced detection rates of prostate cancer with combined cognitive fusion-targeted biopsy.
Bi-Ran YE ; Hui WANG ; Yong-Qing ZHANG ; Guo-Wen LIN ; Hua XU ; Zhe HONG ; Bo DAI ; Fang-Ning WAN
Asian Journal of Andrology 2025;27(4):488-494
The choice of biopsy method is critical in diagnosing prostate cancer (PCa). This retrospective cohort study compared systematic biopsy (SB) or cognitive fusion-targeted biopsy combined with SB (CB) in detecting PCa and clinically significant prostate cancer (csPCa). Data from 2572 men who underwent either SB or CB in Fudan University Shanghai Cancer Center (Shanghai, China) between January 2019 and December 2023 were analyzed. Propensity score matching (PSM) was used to balance baseline characteristics, and detection rates were compared before and after PSM. Subgroup analyses based on prostate-specific antigen (PSA) levels and Prostate Imaging-Reporting and Data System (PI-RADS) scores were performed. Primary and secondary outcomes were the detection rates of PCa and csPCa, respectively. Of 2572 men, 1778 were included in the PSM analysis. Before PSM, CB had higher detection rates for both PCa (62.9% vs 52.4%, odds ratio [OR]: 1.54, P < 0.001) and csPCa (54.9% vs 43.3%, OR: 1.60, P < 0.001) compared to SB. After PSM, CB remained superior in detecting PCa (63.1% vs 47.9%, OR: 1.86, P < 0.001) and csPCa (55.0% vs 38.2%, OR: 1.98, P < 0.001). In patients with PSA 4-12 ng ml -1 (>4 ng ml -1 and ≤12 ng ml -1 , which is also applicable to the following text), CB detected more PCa (59.8% vs 40.7%, OR: 2.17, P < 0.001) and csPCa (48.1% vs 27.7%, OR: 2.42, P < 0.001). CB also showed superior csPCa detection in those with PI-RADS 3 lesions (32.1% vs 18.0%, OR: 2.15, P = 0.038). Overall, CB significantly improves PCa and csPCa detection, especially in patients with PSA 4-12 ng ml -1 or PI-RADS 3 lesions.
Humans
;
Male
;
Prostatic Neoplasms/diagnosis*
;
Propensity Score
;
Retrospective Studies
;
Middle Aged
;
Aged
;
Image-Guided Biopsy/methods*
;
Prostate-Specific Antigen/blood*
;
Prostate/diagnostic imaging*
5.Early screening and diagnosis of prostate cancer based on the innovative care for chronic conditions framework.
Han-Jing ZHU ; Liang DONG ; Bin ZHAO ; Feng ZHANG ; Rong LI ; Cheng-Ye ZHU ; Jia MAO ; Zhen-Ying YANG ; Yin-Jie ZHU ; Wei XUE
National Journal of Andrology 2025;31(3):229-233
OBJECTIVE:
To construct an integrated management model for early screening and diagnosis of PCa based on the Innovative Care for Chronic Conditions Framework (ICCC) and the 1+1 contract-based tiered diagnosis and treatment system (TDTS) in China.
METHODS:
Based on the 1+1 contract-based TDTS platform, we conducted PCa screening for the male residents aged 60 years and above during health check-ups in Pujin Community Health Center from January 1, 2023 to December 31, 2023. For those with abnormal total prostate-specific antigen (tPSA) ≥ 4 μg/L, we promptly referred them to higher-level hospitals for further diagnosis and treatment via the two-way referral green channel platform and information sharing service using the 1+1 contract model. We further analyzed the relevant data on screening and diagnosis.
RESULTS:
A total of 4 080 males aged 71.39±5.059 years received PCa screening from January to December 2023. PSA screening was performed in 43.96% of the male residents, revealing 654 cases of PSA abnormality, with a PSA positivity rate of 16.03%, which was higher than that found in the previous large-scale PCa screenings in other regions of China. Among the males with PSA abnormality, 292 (44.65%) expressed their willingness for medical referral, while the others did not seek further medical attention for reasons of being asymptomatic, low awareness of the disease, no accompany for medical visits, and concerns about further costs of diagnosis and treatment. Prostate biopsy was recommended to 154 cases after further examinations, which was accepted by 92 (59.74%). Fifty-eight cases were diagnosed with Pa, and thedetection rate reached 63.04%.
CONCLUSION
The integrated management model for PSA examination-based early screening and diagnosis of PCa using the 1+1 contract-based TDTS platform is plays a significant role in enhancing people's awareness and knowledge of PCa and improving the early detection rate of the malignancy.
Humans
;
Male
;
Prostatic Neoplasms/diagnosis*
;
Early Detection of Cancer
;
Prostate-Specific Antigen/blood*
;
Aged
;
China
;
Mass Screening
;
Middle Aged
;
Chronic Disease
6.Clinical prediction model for patients with early-onset prostate cancer without surgical treatment: Based on the SEER Database.
Han-Dong LIU ; Han-Yu JIA ; Jing WANG ; Li-Ping ZHANG
National Journal of Andrology 2025;31(5):412-420
OBJECTIVE:
The aim of this study is to investigate the risk factors of prognosis in patients with early-onset prostate cancer treated without surgery. A nomogram will be constructed and validated to predict overall survival (OS) of patients with early-onset prostate cancer treated without surgery.
METHODS:
The clinical data was obtained from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) database on prostate cancer patients aged 18-55 years who were treated without surgery between 2010 and 2015. The clinical data set was divided into training set and validation set according to 7∶3 ratio, including age, race, marital status, Gleason score, prostate specific antigen (PSA) and other 8 factors. And significant variables were screened by univariate Cox regression analysis. Multivariate Cox regression analysis was used to identify the influence factors. Stepwise regression method was used to select the most influential factors on the total OS, and R software was used to build a nomogram model. The accuracy and prediction ability of the model were verified by drawing receiver operating characteristic (ROC) and Calibration Plot. The clinical benefit of the model was evaluated by decision curve analysis (DCA).
RESULTS:
A total of 8 212 patients who met the criteria were randomly assigned to the training set (n=5 752) or validation set (n=2 460), with no statistical difference between the two groups (all P>0.05). Six factors were identified through univariate and multivariate Cox regression analysis including marital status, N stage, M stage, radiotherapy, PSA and Gleason score, which were most closely associated with the OS of prostate cancer patients, and a column graph model was constructed based on these factors. The Consistency index (C-index) of the model in the training set and the verification set were 0.802 and 0.794, respectively. And the apparent diffusion coefficient (AUC) was 0.851, 0.855 and 0.855 for training sets 1, 3 and 5 years, and 0.694, 0.860 and 0.832 for verification sets 1, 3 and 5 years. The calibration chart showed a good agreement between the predicted and actual values of the model. In the analysis of decision curve, the model showed good clinical application value.
CONCLUSION
The prediction model based on marital status, radiotherapy, M stage, N stage, PSA and Gleason score for early-onset prostate cancer patients without surgical treatment has certain reference value which is expected to become an effective tool for clinicians to treat in future prospective studies on large and multi-center samples.
Humans
;
Male
;
Prostatic Neoplasms/diagnosis*
;
Middle Aged
;
Nomograms
;
SEER Program
;
Prognosis
;
Adult
;
Prostate-Specific Antigen
;
Risk Factors
;
Proportional Hazards Models
;
Neoplasm Grading
;
ROC Curve
7.Joint detection of serum NLR, PSA and MMP26 in differentiating prostate cancer from benign prostatic hyperplasia.
Yi-Jin WANG ; Qiang LI ; Guang-Bo FU
National Journal of Andrology 2025;31(5):421-425
OBJECTIVE:
To explore the application value of joint detection of serum neutrophil-to-lymphocyte ratio (NLR), prostate-specific antigen (PSA) and MMP26 in differentiating prostate cancer (PCa) from benign prostatic hyperplasia (BPH).
METHODS:
A total of 61 PCa patients (PCa group) and 63 BPH patients (BPH group) who were treated in The Affiliated Huaian Hospital of Xuzhou Medical University from May 2022 to May 2024 were retrospectively included. The relevant clinical data of all subjects were collected with the serum NLR, PSA and MMP26 levels being detected. Multivariate logistic regression analysis was used to analyze the influencing factors in differentiating PCa from BPH. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of serum NLR, PSA and MMP26 in differentiating PCa from BPH.
RESULTS:
The levels of TC and LDL-C in the PCa group were higher than those in the BPH group. And the level of HDL-C in the PCa group was lower than that in the BPH group (P<0.05). The serum levels of NLR, PSA and MMP26 in the PCa group were higher than those in the BPH group (P<0.05). The results of multivariate logistic regression analysis showed that NLR, PSA and MMP26 were risk factors for the diagnosis of PCa in patients (P<0.05). The ROC results showed that the area under the curve (AUC) of NLR, PSA MMP26 and joint diagnosis in the identification of PCa was 0.804, 0.800, 0.809 and 0.905, respectively. The comparison results of AUC showed that the joint diagnosis was superior to the single diagnosis (Z=2.262, 2.177, 2.002, P<0.05).
CONCLUSION
The joint detection of serum NLR, PSA and MMP26 has significant application value in the differentiation of PCa and BPH, which is expected to become an effective tool for early screening and diagnosis of PCa.
Humans
;
Male
;
Prostatic Hyperplasia/blood*
;
Prostate-Specific Antigen/blood*
;
Diagnosis, Differential
;
Prostatic Neoplasms/blood*
;
Retrospective Studies
;
Neutrophils
;
Lymphocytes
;
ROC Curve
;
Aged
;
Middle Aged
8.Diagnostic value of ultrasonic shear wave elastography for clinically significant prostate cancer.
Fang-Rui YANG ; Yong-Hao JI ; Li-Tao RUAN ; Jian-Xue LIU ; Yao-Ren ZHANG ; Xiao ZHANG ; Qin-Yun WAN ; Si-Fan REN
National Journal of Andrology 2025;31(6):505-511
OBJECTIVE:
To explore the diagnostic value of shear wave elastography (SWE) for clinically significant prostate cancer (csPCa).
METHODS:
We retrospectively analyzed the clinical data of 359 cases with suspected prostate cancer (PCa) in Baoji Central Hospital from June 2017 to July 2023. All the patients underwent the following examinations in the order of serum prostate-specific antigen (PSA) testing, transrectal ultrasonography (TRUS), measurement of the stiffness of the entire prostate gland by SWE, and TRUS-guided prostate puncture biopsy. The stiffness of the entire prostate gland was defined as the average of Young's modulus at both sides of the base, middle, and apex of the prostate, including the maximum Young's modulus (Emax), mean Young's modulus (Emean), and minimum Young's modulus (Emin). We analyzed the correlation of the parameters of the stiffness of the entire prostate gland with the pathological results, focusing on their diagnostic performance for csPCa.
RESULTS:
Of the 359 cases, 189 were diagnosed by pathological puncture biopsy as BPH, 26 as non-csPCa, and 144 as csPCa. The PSA level, Emax, Emean and Emin were significantly higher in the csPCa than those in the BPH and non-csPCa groups (all P < 0.01), but showed no statistically significant difference between the BPH and non-csPCa groups (all P > 0.05). The area under the receiver operating characteristic curve (AUC), optimal cut-off value, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of Emax in the diagnosis of csPCa were 0.852, 143.92 kPa, 72.22%, 84.65%, 75.91%, 81.98% and 79.67%; those of Emean were 0.868, 82.42 kPa, 67.36%, 91.16%, 83.62%, 80.66% and 81.62%; and those of Emin were 0.682, 32.73 kPa, 47.22%, 89.30%, 73.91%, 71.54% and 72.14%, respectively. In the non-csPCa group, Emax, Emean and Emin were found below the optimal cut-off value in 73.08% (19/26), 92.31% (24/26) and 88.46% (23/26), respectively.
CONCLUSION
The stiffness of the entire prostate gland measured by SWE contributes to the diagnosis of csPCa, reduces unnecessary detection of non-csPCa, and provides some reference for its active surveillance.
Humans
;
Male
;
Prostatic Neoplasms/diagnosis*
;
Elasticity Imaging Techniques
;
Retrospective Studies
;
Prostate/pathology*
;
Prostate-Specific Antigen/blood*
;
Aged
;
Middle Aged
9.Research progress on screening prostate cancer in the PSA"gray zone"and PI-RADS 3 lesions.
National Journal of Andrology 2025;31(6):547-551
Prostate cancer is a common tumor of the male genitourinary system, with its incidence continuously increasing. Early accurate diagnosis is crucial for treatment and prognosis. PSA and MRI are important methods for screening and diagnosis of prostate cancer. However, there is still controversy over whether patients with PSA levels between 4-10 μg/L and PI-RADS score of 3 need to undergo prostate biopsy. Radiomics technology provides a new approach for the early and accurate diagnosis of prostate cancer by mining and analyzing medical image information in a high throughput, which helps to reduce unnecessary biopsies. This article reviews the research progress of MRI radiomics in the screening of prostate cancer in the "gray zone" of PSA and PI-RADS score of 3, aiming to improve diagnostic accuracy and provide references for future research in the field of radiomics.
Humans
;
Male
;
Prostatic Neoplasms/diagnosis*
;
Prostate-Specific Antigen/blood*
;
Magnetic Resonance Imaging
;
Early Detection of Cancer
;
Biopsy
;
Prostate/pathology*
10.Role of the prostate health index and its derivatives in the early screening of patients with PI-RADS score 3.
Tong-Qing ZHANG ; Qiang FU ; Hao LIU ; Ying-Tao LIU ; Ke-Qin ZHANG
National Journal of Andrology 2025;31(7):612-618
OBJECTIVE:
To explore the role of prostate health index (PHI) and its derivatives for early screening in patients with PI-RADS score 3 and prostate-specific antigen (PSA) levels of 4-20 μg/L.
METHODS:
Clinical data of 203 patients with a score of 3 on the PI-RADS v2.1 scoring system who underwent ultrasound-guided transperineal prostate aspiration biopsy from April 2021 to April 2024 from Provincial Hospital of Shandong First Medical University, Qilu Hospital of Shandong University and Weifang People's Hospital were collected. Patients who met the inclusion criteria were divided into prostate cancer (PCa) group (62 cases) and benign prostatic hyperplasia (BPH) group (141 cases). Serum total prostate-specific antigen (tPSA), serum free prostate-specific antigen (fPSA), and PSA isoform 2 (p2PSA) were routinely detected after admission. And prostate-specific antigen density (PSAD), prostate health index (PHI) and prostate health index density (PHID) were calculated with the basic personal information being collected. The efficacy of each parameter in early screening of patients with PI-RADS score of 3 and PSA level of 4-20 μg/L was assessed using ROC curve approach.
RESULTS:
There was no statistical difference in tPSA, fPSA and fPSA/tPSA between the two groups (P>0.05). There was a statistical difference in p2PSA, PSAD, PHI, PHID and age between the two groups (P<0.05). PHI (AUC=0.783 7, 95% CI: 0.711 3-0.856 1) and PHID (AUC=0.782 3, 95% CI: 0.708 3-0.856 4) showed a good predictive ability in the early screening of prostate cancer. In the clinically significant prostate cancer (csPCa) group, the ROC curve areas of PHI and PHID were 0.823 0 and 0.788 5, respectively, which showed better predictive efficacy of prediction of csPCa. The ROC curves of the combined diagnostic indexes were plotted on the basis of the independent ROC curves, and the area under the curve of PHI combined with age, p2PSA and PHID (AUC=0.843 6) was the largest and had the best predictive ability among all the combined diagnostic indexes.
CONCLUSION
In patients with PI-RADS score 3 and PSA level between 4 and 20 μg/L, PHI and its derivatives (PHI and PHID) provide a new way for early screening of prostate cancer compared with the traditional index tPSA, which has a high value of application in reducing the over-penetration.
Humans
;
Male
;
Prostatic Neoplasms/diagnosis*
;
Prostate-Specific Antigen/blood*
;
Prostatic Hyperplasia/diagnosis*
;
Prostate/pathology*
;
Early Detection of Cancer
;
ROC Curve
;
Middle Aged
;
Aged

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