He Kangwen, Zhang Yucong, Li Shichao, Yuan Guanjie, Liang Ping, Zhang Qingpeng, Xie Qingguo, Xiao Peng, Li Heng, Meng Xiaoyan, Li Zhen
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Front Oncol. 2023 Jan 25;13:1076400. doi: 10.3389/fonc.2023.1076400. eCollection 2023.
To investigate the incremental prognostic value of preoperative apparent diffusion coefficient (ADC) histogram analysis in patients with high-risk prostate cancer (PCa) who received adjuvant hormonal therapy (AHT) after radical prostatectomy (RP).
Sixty-two PCa patients in line with the criteria were enrolled in this study. The 10, 50, and 90 percentiles of ADC (ADC, ADC, ADC), the mean value of ADC (ADC), kurtosis, and skewness were obtained from the whole-lesion ADC histogram. The Kaplan-Meier method and Cox regression analysis were used to analyze the relationship between biochemical recurrence-free survival (BCR-fs) and ADC parameters and other clinicopathological factors. Prognostic models were constructed with and without ADC parameters.
The median follow-up time was 53.4 months (range, 41.1-79.3 months). BCR was found in 19 (30.6%) patients. Kaplan-Meier curves showed that lower ADC, ADC, ADC, and ADC and higher kurtosis could predict poorer BCR-fs (all <0.05). After adjusting for clinical parameters, ADC and kurtosis remained independent prognostic factors for BCR-fs (HR: 0.172, 95% CI: 0.055-0.541, =0.003; HR: 7.058, 95% CI: 2.288-21.773, =0.001, respectively). By adding ADC parameters to the clinical model, the C index and diagnostic accuracy for the 24- and 36-month BCR-fs were improved.
ADC histogram analysis has incremental prognostic value in patients with high-risk PCa who received AHT after RP. Combining ADC, kurtosis and clinical parameters can improve the accuracy of BCR-fs prediction.
探讨术前表观扩散系数(ADC)直方图分析对高危前列腺癌(PCa)患者在根治性前列腺切除术(RP)后接受辅助激素治疗(AHT)的增量预后价值。
本研究纳入了62例符合标准的PCa患者。从全病灶ADC直方图中获取ADC的第10、50和90百分位数(ADC₁₀、ADC₅₀、ADC₉₀)、ADC的平均值(ADCmean)、峰度和偏度。采用Kaplan-Meier法和Cox回归分析来分析无生化复发生存期(BCR-fs)与ADC参数及其他临床病理因素之间的关系。构建了包含和不包含ADC参数的预后模型。
中位随访时间为53.4个月(范围41.1 - 79.3个月)。19例(30.6%)患者出现BCR。Kaplan-Meier曲线显示,较低的ADC₁₀、ADC₅₀、ADC₉₀和ADCmean以及较高的峰度可预测较差的BCR-fs(均P<0.05)。在调整临床参数后,ADC₉₀和峰度仍然是BCR-fs的独立预后因素(HR:0.172,95%CI:0.055 - 0.541,P = 0.003;HR:7.058,95%CI:2.288 - 21.773,P = 0.001)。通过将ADC参数添加到临床模型中,C指数以及24个月和36个月BCR-fs的诊断准确性得到了提高。
ADC直方图分析对高危PCa患者在RP后接受AHT具有增量预后价值。结合ADC₉₀、峰度和临床参数可提高BCR-fs预测的准确性。