Yoon Min Young, Park Juhyun, Cho Jeong Yeon, Jeong Chang Wook, Ku Ja Hyeon, Kim Hyeon Hoe, Kwak Cheol
Department of Urology, Seoul National University Hospital, Seoul, Korea.
Department of Radiology, Seoul National University Hospital, Seoul, Korea.
Investig Clin Urol. 2017 Jan;58(1):12-19. doi: 10.4111/icu.2017.58.1.12. Epub 2017 Jan 9.
We aimed to investigate whether the apparent diffusion coefficient (ADC) value in diffusion-weighted magnetic resonance imaging predicts the prognoses of patients with high-risk prostate cancer.
A total of 157 patients with high-risk prostate cancer (based on D'Amico's criteria) were included in the analysis. Patients underwent preoperative 3.0 Tesla magnetic resonance imaging within 2 months before radical prostatectomy. Those who received neoadjuvant hormone therapy (33 persons) or radiation therapy (18 persons) were excluded. The ADC of the tumor calculated from 2 b-values (0 and 1,000 s/mm) was measured. Areas under receiver operating characteristics curves were calculated to maximize the accuracy of the ADC value. Based on the obtained cutoff value, the patients were stratified into 2 groups: Group A consisted of patients with ADC values <746×10 mm/s and group B comprised those with ADC values ≥746×10 mm/s.
Group A showed higher rate of lymph positive and biochemical recurrence (BCR) rates than group B. Kaplan-Meier analysis showed that the BCR-free survival rate of group A was much lower than that of group B (p<0.001). On Cox proportional regression analyses, ADC group A (hazard ratio [HR], 3.238, p=0.002) and pathologic lymph node positive (HR, 2.242; p=0.009) were independent predictors of BCR.
In patients with high-risk prostate cancer, ADC value is significantly associated with BCR-free survival. Therefore, the ADC value is a useful tool for predicting the prognoses of these high-risk patients.
我们旨在研究扩散加权磁共振成像中的表观扩散系数(ADC)值是否能预测高危前列腺癌患者的预后。
本分析纳入了总共157例高危前列腺癌患者(基于达米科标准)。患者在根治性前列腺切除术前行术前2个月内接受3.0特斯拉磁共振成像检查。排除接受新辅助激素治疗的患者(33例)或放疗的患者(18例)。测量由2个b值(0和1000 s/mm²)计算得出的肿瘤ADC值。计算受试者操作特征曲线下面积以最大化ADC值的准确性。根据获得的临界值,将患者分为两组:A组由ADC值<746×10⁻⁶mm²/s的患者组成,B组由ADC值≥746×10⁻⁶mm²/s的患者组成。
A组的淋巴结阳性率和生化复发(BCR)率高于B组。Kaplan-Meier分析显示,A组的无BCR生存率远低于B组(p<0.001)。在Cox比例回归分析中,ADC A组(风险比[HR],3.238,p = 0.002)和病理淋巴结阳性(HR,2.242;p = 0.009)是BCR的独立预测因素。
在高危前列腺癌患者中,ADC值与无BCR生存率显著相关。因此,ADC值是预测这些高危患者预后的有用工具。