Michigan State University College of Osteopathic Medicine, East Lansing, Michigan.
Spectrum Health, 145 Michigan Street NE, Grand Rapids, MI; Advanced Radiology Services PC, Grand Rapids, Michigan.
Acad Radiol. 2018 Dec;25(12):1582-1587. doi: 10.1016/j.acra.2018.03.014. Epub 2018 Mar 30.
Prostate volume (PV) determination provides important clinical information. We compared PVs determined by digital rectal examination (DRE), transrectal ultrasound (TRUS), magnetic resonance imaging (MRI) with or without three-dimensional (3D) segmentation software, and surgical prostatectomy weight (SPW) and volume (SPV).
This retrospective review from 2010 to 2016 included patients who underwent radical prostatectomy ≤1 year after multiparametric prostate MRI. PVs from DRE and TRUS were obtained from urology clinic notes. MRI-based PVs were calculated using bullet and ellipsoid formulas, automated 3D segmentation software (MRI-A3D), manual segmentation by a radiologist (MRI-R3D), and a third-year medical student (MRI-S3D). SPW and SPV were derived from pathology reports. Intraclass correlation coefficients compared the relative accuracy of each volume measurement.
Ninety-nine patients were analyzed. Median PVs were DRE 35 mL, TRUS 35 mL, MRI-bullet 49 mL, MRI-ellipsoid 39 mL, MRI-A3D 37 mL, MRI-R3D 36 mL, MRI-S3D 36 mL, SPW 54 mL, SPV-bullet 47 mL, and SPV-ellipsoid 37 mL. SPW and bullet formulas had consistently large PV, and formula-based PV had a wider spread than PV based on segmentation. Compared to MRI-R3D, the intraclass correlation coefficient was 0.91 for MRI-S3D, 0.90 for MRI-ellipsoid, 0.73 for SPV-ellipsoid, 0.72 for MRI-bullet, 0.71 for TRUS, 0.70 for SPW, 0.66 for SPV-bullet, 0.38 for MRI-A3D, and 0.33 for DRE.
With MRI-R3D measurement as the reference, the most reliable methods for PV estimation were MRI-S3D and MRI-ellipsoid formula. Automated segmentations must be individually assessed for accuracy, as they are not always truly representative of the prostate anatomy. Manual segmentation of the prostate does not require expert training.
前列腺体积(PV)的测定提供了重要的临床信息。我们比较了经直肠超声(TRUS)、磁共振成像(MRI)及结合三维(3D)分割软件后、以及通过手术前列腺切除术获得的前列腺重量(SPW)和体积(SPV)测量的 PV。
本回顾性研究从 2010 年至 2016 年,共纳入 99 例在 MRI 检查后 1 年内接受根治性前列腺切除术的患者。DRE 和 TRUS 的 PV 从泌尿科门诊病历中获得。使用子弹和椭圆公式、自动 3D 分割软件(MRI-A3D)、放射科医生手动分割(MRI-R3D)和三年级医学生手动分割(MRI-S3D)计算 MRI 基础上的 PV。SPW 和 SPV 源自病理报告。通过计算组内相关系数比较每种体积测量方法的相对准确性。
99 例患者被纳入分析。DRE 的 PV 中位数为 35ml,TRUS 为 35ml,MRI-子弹为 49ml,MRI-椭圆为 39ml,MRI-A3D 为 37ml,MRI-R3D 为 36ml,MRI-S3D 为 36ml,SPW 为 54ml,SPV-子弹为 47ml,SPV-椭圆为 37ml。SPW 和子弹公式测量的 PV 较大,基于公式的 PV 比基于分割的 PV 更广泛。与 MRI-R3D 相比,MRI-S3D 的组内相关系数为 0.91,MRI-椭圆为 0.90,SPV-椭圆为 0.73,MRI-子弹为 0.71,TRUS 为 0.70,SPW 为 0.70,SPV-子弹为 0.66,MRI-A3D 为 0.38,DRE 为 0.33。
以 MRI-R3D 测量为参考,最可靠的 PV 估计方法是 MRI-S3D 和 MRI-椭圆公式。自动分割必须单独评估其准确性,因为它们并不总是真正代表前列腺解剖结构。前列腺的手动分割不需要专家培训。