Department of Urology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Urol Int. 2024;108(1):35-41. doi: 10.1159/000534742. Epub 2023 Nov 23.
Accurate in vivo prostate volume (PV) estimation is important for obtaining prostate-specific antigen density (PSAD) and further predicting clinically significant prostate cancer (csPCa). We aimed to evaluate the accuracy of multiparametric magnetic resonance imaging (mpMRI)-estimated PV compared to both volume and weight of radical prostatectomy (RP).
We identified 310 PCa patients who underwent RP following combined targeted and systematic biopsy in our institution from September 2019 to February 2021. The MRI PV was determined using a semiautomated segmentation algorithm. RP PV was calculated using the prolate ellipsoid formula (length × width × height × π/6). Formula (prostate weight = [actual weight-3.8 g]/1.05 g/mL) was applied, and the resulting volume was used in further analysis.
The median PV from MRI, RP, and RP weight were 39 mL, 38 mL, and 44 mL, respectively. Spearman's rank correlation coefficients (ρ) were 0.841 (MRI PV vs. RP weight), 0.758 (RP PV vs. RP weight), and 0.707 (MRI PV vs. RP PV) (all p < 0.001). Decreased correlation between the MRI PV and RP PV was observed in the larger (more than 55 mL) prostate. The PSAD derived from MRI PV showed most efficient to detect csPCa in RP specimen (57.9% vs. 57.6% vs. 45.4%).
MRI PV is correlated better with RP weight than calculated RP PV, especially in larger prostate. The high csPCa detection rate in final pathology suggested that PSAD derived from MRI PV can be confidently used in clinical practice.
准确估计前列腺体积(PV)对于获得前列腺特异性抗原密度(PSAD)并进一步预测临床显著前列腺癌(csPCa)非常重要。我们旨在评估与根治性前列腺切除术(RP)的体积和重量相比,多参数磁共振成像(mpMRI)估计的 PV 的准确性。
我们在我院于 2019 年 9 月至 2021 年 2 月期间,识别了 310 名接受 RP 的 PCa 患者,这些患者在接受 RP 之前接受了靶向和系统活检。使用半自动分割算法确定 MRI 的 PV。RP 的 PV 使用扁长椭球公式(长度×宽度×高度×π/6)进行计算。应用公式(前列腺重量=(实际重量-3.8 g)/1.05 g/mL),并将得到的体积用于进一步分析。
MRI、RP 和 RP 重量的中位 PV 分别为 39 毫升、38 毫升和 44 毫升。Spearman 秩相关系数(ρ)分别为 0.841(MRI PV 与 RP 重量)、0.758(RP PV 与 RP 重量)和 0.707(MRI PV 与 RP PV)(均 P < 0.001)。在更大(超过 55 毫升)的前列腺中,MRI PV 与 RP PV 之间的相关性降低。MRI PV 衍生的 PSAD 在 RP 标本中检测 csPCa 的效率最高(57.9%比 57.6%比 45.4%)。
MRI PV 与 RP 重量的相关性优于计算的 RP PV,尤其是在更大的前列腺中。最终病理中 csPCa 的高检出率表明,MRI PV 衍生的 PSAD 可以在临床实践中被自信地使用。