Kim Min Je, Park Sung Yoon
Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
J Magn Reson Imaging. 2022 Apr;55(4):1226-1233. doi: 10.1002/jmri.27841. Epub 2021 Jul 23.
Currently, it is necessary to investigate how to combine biparametric magnetic resonance imaging (bpMRI) with various clinical parameters for the detection of clinically significant prostate cancer (csPCa).
To develop a multivariate prebiopsy nomogram using clinical and bpMRI parameters for estimating the probability of csPCa.
Retrospective, single-center study.
Two hundred and twenty-six patients who underwent targeted biopsy (TBx) for the MRI-suspected index lesion because of clinical suspicions of PCa.
FIELD STRENGTH/SEQUENCE: A 3 T MRI including turbo spin-echo T -weighted and diffusion-weighted single-shot echo-planar imaging sequences.
Prebiopsy clinical and bpMRI parameters were patient age, biopsy history (biopsy-naïve or repeated biopsy status), prostate-specific antigen density (PSAD), Prostate Imaging-Reporting and Data System version 2.1 (PI-RADSv2.1), and apparent diffusion coefficient ratio (ADCR). ADCR was defined as mean ADC of the index lesion divided by mean ADC of the contralateral prostatic region. A multivariate prebiopsy nomogram for csPCa (i.e. Gleason sum ≥7) was developed. Area under the curve (AUC) of each parameter and prebiopsy nomogram was assessed. Five-fold cross-validation was performed for robust estimation of performance of the prebiopsy nomogram.
Logistic regression, receiver-operating curve, and 5-fold cross-validation. P-value < 0.05 was considered statistically significant.
Proportion of csPCa was 31.9% (72/226). The AUCs of age, biopsy-naïve status, PSAD, PI-RADSv2.1, ADCR, and prebiopsy nomogram were 0.657 (95% confidence interval [CI], 0.580-0.733), 0.593 (95% CI, 0.525-0.660), 0.762 (95% CI, 0.697-0.826), 0.824 (95% CI, 0.770-0.878), 0.829 (95% CI, 0.769-0.888), and 0.906 (95% CI, 0.863-0.948), respectively: AUC of nomogram was significantly different than that of individual parameter. In the 5-fold cross-validation, the mean AUC of the prebiopsy nomogram for csPCa was 0.888 (95% CI, 0.786-0.983).
This multivariate prebiopsy nomogram using clinical and bpMRI parameters may help estimate the probability of csPCa in patients undergoing TBx. ADCR seems to enhance the role of bpMRI in detecting csPCa.
3 TECHNICAL EFFICACY: Stage 2.
目前,有必要研究如何将双参数磁共振成像(bpMRI)与各种临床参数相结合以检测临床显著性前列腺癌(csPCa)。
利用临床和bpMRI参数制定一种多变量活检前列线图,以估计csPCa的概率。
回顾性单中心研究。
226例因临床怀疑前列腺癌而对MRI怀疑的索引病变进行靶向活检(TBx)的患者。
场强/序列:3T MRI,包括快速自旋回波T加权和扩散加权单次激发回波平面成像序列。
活检前临床和bpMRI参数包括患者年龄、活检史(初次活检或重复活检状态)、前列腺特异性抗原密度(PSAD)、前列腺影像报告和数据系统第2.1版(PI-RADSv2.1)以及表观扩散系数比值(ADCR)。ADCR定义为索引病变的平均表观扩散系数除以对侧前列腺区域的平均表观扩散系数。制定了csPCa(即Gleason总分≥7)的多变量活检前列线图。评估了每个参数和活检前列线图的曲线下面积(AUC)。进行了五折交叉验证以稳健估计活检前列线图的性能。
逻辑回归、受试者工作特征曲线和五折交叉验证。P值<0.05被认为具有统计学意义。
csPCa的比例为31.9%(72/226)。年龄、初次活检状态、PSAD、PI-RADSv2.1、ADCR和活检前列线图的AUC分别为0.657(95%置信区间[CI],0.580-0.733)、0.593(95%CI,0.525-0.660)、0.762(95%CI,0.697-0.826)、0.824(95%CI,0.770-0.878)、0.829(95%CI,0.769-0.888)和0.906(95%CI,0.863-0.948):列线图的AUC与单个参数的AUC有显著差异。在五折交叉验证中,csPCa活检前列线图的平均AUC为0.888(95%CI,0.786-0.983)。
这种使用临床和bpMRI参数的多变量活检前列线图可能有助于估计接受TBx患者的csPCa概率。ADCR似乎增强了bpMRI在检测csPCa中的作用。
3 技术效能:2级