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经直肠超声双近似椭圆公式:一种检测灰色地带前列腺癌中前列腺特异性抗原密度的优越方法。

Biproximate ellipsoid formula with transrectal ultrasound: a superior method for PSA density in gray zone prostate cancer detection.

作者信息

Wang Xin, Sun Jinxiao, Xu Dandan, Zhu Hao

机构信息

Department of Ultrasound, Wuxi Second Hospital of Traditional Chinese Medicine, Wuxi, Jiangsu, China.

Department of Ultrasound, Guangzhou 11th People's Hospital, Guangzhou, Guangdong, China.

出版信息

Discov Oncol. 2025 Aug 19;16(1):1583. doi: 10.1007/s12672-025-03402-5.

DOI:10.1007/s12672-025-03402-5
PMID:40828211
Abstract

PURPOSE

This study aimed to enhance prostate cancer (PCa) detection in patients with prostate-specific antigen (PSA) levels within the "gray zone" (4-10 ng/mL) by comparing PSA density (PSAD) calculations derived from the traditional ellipsoid formula (TEF) and the biproximate ellipsoid formula (BPEF).

MATERIALS AND METHODS

A total of 99 patients were enrolled. All participants underwent transrectal ultrasound (TRUS) for prostate volume estimation, followed by PSAD calculation using both the BPEF and TEF methods. The BPEF method, which incorporates well-defined anatomical landmarks, was assessed for its accuracy in prostate volume measurement and diagnostic performance for PCa compared to TEF. Inter- and intra-observer consistency were also evaluated for both approaches.

RESULTS

Both BPEF and TEF reliably measured prostate volume, however, BPEF demonstrated superior accuracy and higher consistency in inter- and intra-observer assessments. PSAD calculated using BPEF (BPEF-PSAD) exhibited significantly greater diagnostic performance than TEF-PSAD, with an area under the curve (AUC) of 0.84. At the optimal diagnostic threshold of 0.15 ng/mL/cm³, BPEF-PSAD achieved a sensitivity of 88.89% and a specificity of 74.60%, enhancing the discrimination between PCa and benign prostatic hyperplasia (BPH). Multivariate logistic regression analysis identified BPEF-PSAD as an independent predictor of PCa.

CONCLUSIONS

The study concluded that the BPEF method, when combined with TRUS, improves the accuracy of PSA density measurements, potentially reducing unnecessary biopsies in patients with intermediate PSA levels, particularly in cases where MRI is unavailable or contraindicated.

摘要

目的

本研究旨在通过比较传统椭球体公式(TEF)和双近似椭球体公式(BPEF)得出的前列腺特异抗原(PSA)密度(PSAD)计算结果,提高前列腺特异抗原水平处于“灰色区域”(4 - 10 ng/mL)的患者的前列腺癌(PCa)检测率。

材料与方法

共纳入99例患者。所有参与者均接受经直肠超声(TRUS)以估计前列腺体积,随后使用BPEF和TEF方法计算PSAD。与TEF相比,评估了纳入明确解剖标志的BPEF方法在前列腺体积测量中的准确性以及对PCa的诊断性能。还评估了两种方法在观察者间和观察者内的一致性。

结果

BPEF和TEF均能可靠地测量前列腺体积,然而,BPEF在观察者间和观察者内评估中显示出更高的准确性和一致性。使用BPEF计算的PSAD(BPEF - PSAD)的诊断性能显著高于TEF - PSAD,曲线下面积(AUC)为0.84。在最佳诊断阈值0.15 ng/mL/cm³时,BPEF - PSAD的灵敏度为88.89%,特异度为74.60%,增强了对PCa和良性前列腺增生(BPH)的鉴别能力。多因素逻辑回归分析确定BPEF - PSAD为PCa的独立预测因子。

结论

该研究得出结论,BPEF方法与TRUS结合使用时,可提高PSA密度测量的准确性,有可能减少PSA水平处于中等范围的患者不必要的活检,特别是在无法进行或禁忌进行MRI检查的情况下。

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Lesion volume on multiparametric magnetic resonance imaging as a non-invasive prognosticator for clinically significant prostate cancer.多参数磁共振成像上的病变体积作为临床显著性前列腺癌的非侵入性预后指标。
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A strategy to reduce unnecessary prostate biopsies in patients with tPSA >10 ng ml -1 and PI-RADS 1-3.一项针对总前列腺特异抗原(tPSA)>10 ng/ml且前列腺影像报告和数据系统(PI-RADS)为1-3级患者减少不必要前列腺活检的策略。
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Risk factor analysis and optimal cutoff value selection of PSAD for diagnosing clinically significant prostate cancer in patients with negative mpMRI: results from a high-volume center in Southeast China.
基于中国东南地区一家大容量中心的研究结果:PSAD 用于诊断 MRI 阴性的临床显著前列腺癌的风险因素分析及最佳截断值选择。
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Added Value of Prostate-specific Antigen Density in Selecting Prostate Biopsy Candidates Among Men with Elevated Prostate-specific Antigen and PI-RADS ≥3 Lesions on Multiparametric Magnetic Resonance Imaging of the Prostate: A Systematic Assessment by PI-RADS Score.在前列腺特异性抗原和 PI-RADS≥3 病变的前列腺多参数磁共振成像中前列腺特异性抗原升高的男性中选择前列腺活检候选者时前列腺特异性抗原密度的附加价值:按 PI-RADS 评分进行系统评估。
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Comparison of prostate volume measured by transabdominal ultrasound and MRI with the radical prostatectomy specimen volume: a retrospective observational study.经腹超声和 MRI 测量的前列腺体积与根治性前列腺切除术标本体积的比较:一项回顾性观察研究。
BMC Urol. 2023 Apr 17;23(1):62. doi: 10.1186/s12894-023-01234-5.
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Transl Cancer Res. 2023 Mar 31;12(3):502-514. doi: 10.21037/tcr-22-1855. Epub 2023 Mar 17.
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