Shetty Ashrita, Gadupati Jahnavi, Bommineni Bhagyalakshmi, Chikatla Sowmya, Krishnamurthy Umesh, D Ramesh
Radiology, M. S. Ramaiah Medical College, Bengaluru, IND.
Urology, M. S. Ramaiah Medical College, Bengaluru, IND.
Cureus. 2025 Mar 7;17(3):e80238. doi: 10.7759/cureus.80238. eCollection 2025 Mar.
Introduction Prostate cancer (PCa) is the second most commonly diagnosed cancer in men worldwide. The Prostate Imaging-Reporting and Data System version 2.1 (PI-RADS v2.1) scoring system using multiparametric magnetic resonance imaging (mp-MRI) increases the accuracy for the assessment of clinically significant PCa. This study evaluates the diagnostic accuracy of a combination of PI-RADS v2.1 scores with prostate-specific antigen density (PSAD) for the detection of PCa, using biopsy outcomes as the gold standard, as well as the diagnostic accuracy of the combination of PI-RADS 3 lesion volume and PSAD. Methods This is single-center cross-sectional retrospective study including 54 subjects with serum PSA values > 4 ng/mL, who were referred for prostate mp-MRI. All patients underwent subsequent transrectal ultrasound (TRUS)-guided biopsy. Data collected includes PSA value, mp-MRI characteristics of the lesion, and histopathological findings. PI-RADS v2.1 score and PSAD were used to evaluate the diagnostic accuracy of this combination. Results In our study, the optimal PSAD cutoff was >0.18 with an area under the curve (AUC) of 0.897, indicating good diagnostic performance. The combination of PI-RADS v2.1 score ≥ 3 and PSAD ≥0.18 increased diagnostic accuracy, with a sensitivity of 96.97% and specificity of 71.43%. However, lesion volume was not a significant predictor of PCa. Conclusion In summary, our study demonstrates that the combination of PI-RADS score and PSAD yields higher diagnostic accuracy for the detection of PCa (p < 0.001) than using the PI-RADS score alone. We found an optimal PSAD cutoff of 0.18, which differs from the international consensus of 0.15. However, it cannot be used as a substitute for definitive pathological diagnosis but can be used in combination for better risk stratification, counselling, and management of patients with elevated PSA levels. Combining PI-RADS 3 lesion volume and PSAD did not have statistically significant results in our study.
引言
前列腺癌(PCa)是全球男性中第二常见的诊断癌症。使用多参数磁共振成像(mp-MRI)的前列腺影像报告和数据系统第2.1版(PI-RADS v2.1)评分系统提高了对临床显著前列腺癌评估的准确性。本研究以活检结果为金标准,评估PI-RADS v2.1评分与前列腺特异性抗原密度(PSAD)联合检测前列腺癌的诊断准确性,以及PI-RADS 3病变体积与PSAD联合的诊断准确性。
方法
这是一项单中心横断面回顾性研究,纳入54名血清PSA值>4 ng/mL且被转诊接受前列腺mp-MRI检查的受试者。所有患者随后均接受经直肠超声(TRUS)引导下活检。收集的数据包括PSA值、病变的mp-MRI特征和组织病理学结果。使用PI-RADS v2.1评分和PSAD评估该联合检测的诊断准确性。
结果
在我们的研究中,最佳PSAD临界值>0.18,曲线下面积(AUC)为0.897,表明诊断性能良好。PI-RADS v2.1评分≥3且PSAD≥0.18的联合提高了诊断准确性,敏感性为96.97%,特异性为71.43%。然而,病变体积不是前列腺癌的显著预测指标。
结论
总之,我们的研究表明,与单独使用PI-RADS评分相比,PI-RADS评分与PSAD联合检测前列腺癌的诊断准确性更高(p<0.001)。我们发现最佳PSAD临界值为0.18,这与国际共识的0.15不同。然而,它不能替代明确的病理诊断,但可联合用于更好地对PSA水平升高的患者进行风险分层、咨询和管理。在我们的研究中,PI-RADS 3病变体积与PSAD联合未产生具有统计学意义的结果。