Zhou Mi, Huang Hongyun, Bao Deying, Chen Meining, Lu Fulin
Department of Radiology, Sichuan Provincial Orthpaedics Hospital, Chengdu, 610041, People's Republic of China.
Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China.
Abdom Radiol (NY). 2025 Feb;50(2):569-578. doi: 10.1007/s00261-024-04523-1. Epub 2024 Aug 16.
This study aims to explore the relationship between apparent diffusion coefficient (ADC) and fractional-order calculus (FROC)-specific parameters with prognostic indicators and Kirsten rat sarcoma viral oncogene homologue (KRAS) mutation status in rectal cancer.
One hundred fifty-eight patients with rectal cancer were retrospectively enrolled. Histogram measurements of ADC, diffusion coefficient (D), intravoxel diffusion heterogeneity (β), and a microstructural quantity (μ) were estimated for the whole-tumor volume. The relationships between histogram measurements and prognostic indicators were evaluated. The efficacy of histogram measurements, both conducted singly and in conjunction, for evaluating different KRAS mutation statuses was also assessed. The performance of mean and median histogram measurements in evaluating various KRAS mutation statuses was assessed using Receiver Operating Characteristic (ROC) curve analysis. A p-value of less than 0.05 was considered statistically significant.
The histogram measurements of ADC, D, β, and μ differed significantly between well-moderately differentiated groups and poorly differentiated groups, T1-2 and T3-4 subgroups, lymph node metastasis (LNM)-negative and LNM-positive subgroups, extranodal extension (ENE)-negative and ENE-positive subgroups, tumor deposit (TD)-negative and TD-positive subgroups, and lymphovascular invasion (LVI)-negative and LVI-positive subgroups. The combination of D, β, and μ achieved the highest performance [The area under the ROC curve (AUC) = 0.904] in evaluating the KRAS mutation status.
When assessing parameters from the FROC model as potential biomarkers through histograms, they surpass traditional ADC values in distinguishing prognostic indicators and determining KRAS mutation status in rectal cancer.
本研究旨在探讨直肠癌中表观扩散系数(ADC)和分数阶微积分(FROC)特定参数与预后指标及 Kirsten 大鼠肉瘤病毒癌基因同源物(KRAS)突变状态之间的关系。
回顾性纳入 158 例直肠癌患者。对全肿瘤体积进行 ADC、扩散系数(D)、体素内扩散异质性(β)和微观结构量(μ)的直方图测量。评估直方图测量值与预后指标之间的关系。还评估了单独及联合进行的直方图测量在评估不同 KRAS 突变状态方面的效能。使用受试者操作特征(ROC)曲线分析评估平均和中位数直方图测量值在评估各种 KRAS 突变状态时的性能。p 值小于 0.05 被认为具有统计学意义。
ADC、D、β 和 μ 的直方图测量值在高 - 中分化组与低分化组、T1 - 2 和 T3 - 4 亚组、淋巴结转移(LNM)阴性和阳性亚组、结外扩展(ENE)阴性和阳性亚组、肿瘤沉积物(TD)阴性和阳性亚组以及淋巴管侵犯(LVI)阴性和阳性亚组之间存在显著差异。D、β 和 μ 的组合在评估 KRAS 突变状态时表现最佳[ROC 曲线下面积(AUC)= 0.904]。
通过直方图评估 FROC 模型中的参数作为潜在生物标志物时,它们在区分直肠癌的预后指标和确定 KRAS 突变状态方面优于传统的 ADC 值。