Liu Yufeng, Wang Changliang, Wu Jianjun, Xiao Fengchun, Wang Chundan
Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine) Hangzhou 310006, Zhejiang, China.
Department of Critical Care Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University Hangzhou 310016, Zhejiang, China.
Am J Transl Res. 2025 Aug 15;17(8):6676-6687. doi: 10.62347/KKUZ9662. eCollection 2025.
To investigate the diagnostic potential of texture-based analysis of dynamic contrast-enhanced MRI (DCE-MRI) for breast lesions and background enhancement (BE).
This retrospective study analyzed 62 patients who underwent preoperative high-temporal resolution DCE-MRI (1+26 phases), including 39 malignant and 23 benign lesions. A control group of 78 patients received preoperative low-temporal resolution DCE-MRI (1+5 phases), comprising 46 malignant and 32 benign lesions. All patients also underwent conventional T1WI, T2WI MRI scans, and DCE-MRI. Quantitative parameters were obtained using a two-compartment Extended Tofts model, calculating pharmacokinetic parameters: volume transfer constant (K), rate constant (K), extravascular extracellular volume fraction (V), and fractional plasma volume (V). Texture features based on the K map were extracted. The region of interest for the lesion center, surrounding peripheral area, and BE was delineated. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of the K texture features model.
Pharmacokinetic parameters significantly differed between high-temporal resolution and low-temporal resolution DCE-MRI (P < 0.05). In the malignant group, the average K of the lesion area from high-temporal resolution DCE-MRI was significantly correlated with pathological grading (r = 0.400, P = 0.012). There were significant differences in the mean values of K, K, V, V and time to peak (TTP) between the two DCE-MRI groups across the lesion, peri-lesional, and BE areas. In the differentiation between benign and malignant lesions, ROC analysis demonstrated that high-temporal resolution DCE-MRI provided slight but significant advantages in differentiating benign and malignant lesions in the lesion center, BE areas.
Texture analysis based on high-temporal resolution DCE-MRI may potentially improve breast cancer diagnostic performance. Specifically, combining the lesion, BE area, and K-mean parameters contributes to the diagnosis of breast lesions, background enhancement, and the pathological grading of malignant tumors.
探讨基于纹理分析的动态对比增强磁共振成像（DCE-MRI）对乳腺病变及背景强化（BE）的诊断潜力。
本回顾性研究分析了62例行术前高时间分辨率DCE-MRI（1 + 26期）的患者，其中包括39例恶性病变和23例良性病变。78例患者的对照组接受术前低时间分辨率DCE-MRI（1 + 5期），包括46例恶性病变和32例良性病变。所有患者均接受了常规T1WI、T2WI MRI扫描及DCE-MRI检查。使用双室扩展Tofts模型获得定量参数，计算药代动力学参数：容积转运常数（K）、速率常数（k）、血管外细胞外容积分数（V e）和血浆容积分数（V p）。提取基于K图的纹理特征。勾勒出病变中心、周围周边区域和BE的感兴趣区。采用受试者操作特征（ROC）分析评估K纹理特征模型的诊断性能。
高时间分辨率和低时间分辨率DCE-MRI的药代动力学参数存在显著差异（P < 0.05）。在恶性组中，高时间分辨率DCE-MRI病变区域的平均K与病理分级显著相关（r = 0.400，P = 0.012）。在两个DCE-MRI组的病变、病变周围和BE区域，K、k、V e、V p和达峰时间（TTP）的平均值存在显著差异。在鉴别良性和恶性病变时，ROC分析表明，高时间分辨率DCE-MRI在鉴别病变中心、BE区域的良性和恶性病变方面具有轻微但显著的优势。
基于高时间分辨率DCE-MRI的纹理分析可能会提高乳腺癌的诊断性能。具体而言，结合病变、BE区域和K均值参数有助于乳腺病变、背景强化的诊断以及恶性肿瘤的病理分级。
