Zhou Mi, Chen Mengyuan, Chen Meining, Yan Xu, Yang Guang, Huang Hongyun
sichuan provincial orthopedics hospital, Chengdu, China.
Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Abdom Radiol (NY). 2025 Mar;50(3):1105-1116. doi: 10.1007/s00261-024-04588-y. Epub 2024 Sep 14.
This prospective study aimed to assess the predictive value of mono-exponential and multiple mathematical diffusion-weighted imaging (DWI) models in determining the response to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC).
The study included 103 LARC patients scheduled for preoperative chemoradiotherapy between December 2021 and June 2023 Magnetic resonance imaging (MRI) scans were performed using a 3.0-T MR scanner, encompassing sagittal, axial, and oblique coronal T2-weighted images without fat saturation, along with DWI perpendicular to the rectum's long axis. Various DWI parameters, including apparent diffusion coefficient (ADC), stretched exponential model (SEM), continuous-time random-walk model (CTRW), and fractional-order calculus model (FROC), were measured. The pathologic complete response (pCR) rate and tumor downstaging (T-downstage) rate were determined.
After nCRT, SEM-α, SEM-DDC, CTRW-α, CTRW-β, CTRW-D, FROC-β, and ADC values were significantly higher in the pCR group compared to the non-pCR group (all P < 0.05). SEM-DDC, CTRW-α, CTRW-D, FROC-β, FROC-µ, and ADC values were significantly higher in the T-downstage group (ypT0-1) than in the non-T-downstage group (ypT2-4) (P < 0.05). The combination of CTRW (α + β + D) exhibited the best diagnostic performance for assessing pCR after nCRT (AUC = 0.840, P < 0.001). Pre-nCRT CTRW (α + β) demonstrated a predictive AUC of 0.652 (95%CI: 0.552-0.743), 90.3% sensitivity, and 43.1% specificity for pCR. Regarding T-downstage assessment after nCRT, the combination of CTRW (α + D) yielded the best diagnostic performance (AUC = 0.877, P = 0.048).
In LARC patients, imaging markers derived from CTRW show promise in predicting tumor response before nCRT and assessing pCR after nCRT.
本前瞻性研究旨在评估单指数和多重数学扩散加权成像(DWI)模型在确定局部晚期直肠癌(LARC)患者对新辅助放化疗(nCRT)反应中的预测价值。
该研究纳入了2021年12月至2023年6月期间计划接受术前放化疗的103例LARC患者。使用3.0-T MR扫描仪进行磁共振成像(MRI)扫描,包括矢状位、轴位和斜冠状位无脂肪饱和的T2加权图像,以及垂直于直肠长轴的DWI。测量了各种DWI参数,包括表观扩散系数(ADC)、拉伸指数模型(SEM)、连续时间随机游走模型(CTRW)和分数阶微积分模型(FROC)。确定了病理完全缓解(pCR)率和肿瘤降期(T降期)率。
nCRT后,pCR组的SEM-α、SEM-DDC、CTRW-α、CTRW-β、CTRW-D、FROC-β和ADC值显著高于非pCR组(所有P<0.05)。T降期组(ypT0-1)的SEM-DDC、CTRW-α、CTRW-D、FROC-β、FROC-µ和ADC值显著高于非T降期组(ypT2-4)(P<0.05)。CTRW(α+β+D)的组合在评估nCRT后的pCR方面表现出最佳的诊断性能(AUC=0.840,P<0.001)。nCRT前的CTRW(α+β)对pCR的预测AUC为0.652(95%CI:0.552-0.743),敏感性为90.3%,特异性为43.1%。关于nCRT后的T降期评估,CTRW(α+D)的组合表现出最佳的诊断性能(AUC=0.877,P=0.048)。
在LARC患者中,源自CTRW的成像标志物在预测nCRT前的肿瘤反应和评估nCRT后的pCR方面显示出前景。