Song You Seon, Lee In Sook, Choi Young Jin, Kim Jeung Il, Choi Kyung-Un, Kim Kangsoo, Jang Kyungeun
Department of Radiology, Pusan National University Hospital, Biomedical Research Institute, Busan, Republic of Korea.
Pusan National University School of Medicine, Busan, Republic of Korea.
Korean J Radiol. 2025 Jan;26(1):43-53. doi: 10.3348/kjr.2024.0736.
To evaluate the clinical efficacy of ultrafast dynamic contrast-enhanced (DCE)-MRI using a compressed sensing (CS) technique for differentiating benign and malignant soft-tissue tumors (STTs) and to evaluate the factors related to the grading of malignant STTs.
A total of 165 patients (96 male; mean age, 61 years), comprising 111 with malignant STTs and 54 with benign STTs according to the 2020 WHO classification, underwent DCE-MRI with CS between June 2018 and June 2023. The clinical, qualitative, and quantitative parameters associated with conventional MRI were also obtained. During post-processing of the early arterial phase of DCE-MRI, the time-to-enhance (TTE), time-to-peak (TTP), initial area under the curve at 60 s (iAUC60), and maximum slope were calculated. Furthermore, the delayed arterial phase parameters of DCE-MRI, including K, K, V, and iAUC values and time-concentration curve (TCC) types, were determined. Clinical and MRI parameters were statistically analyzed to differentiate between benign and malignant tumors and their correlation with tumor grading.
According to logistic regression analysis, the TTE value ( < 0.001) of the early arterial phase and V ( = 0.039) and iAUC ( = 0.006) values of the delayed arterial phase, as well as age, location, peritumoral edema, and contrast heterogeneity on conventional MRI, were significant ( = 0.001-0.015) in differentiating benign and malignant tumors. Among all the quantitative parameters, the TTE value had the highest accuracy, with an area under the receiver operating characteristic curve of 0.902. The grading of malignant tumors was significantly correlated with peritumoral edema; CE heterogeneity; visual diffusion restriction; minimum and mean ADC; TTP, K, and V values; and the TCC graph (all < 0.05).
Among the quantitative parameters obtained using ultrafast DCE-MRI, early arterial phase TTE was the most accurate for distinguishing between benign and malignant tumors.
评估使用压缩感知(CS)技术的超快动态对比增强(DCE)-MRI对鉴别良恶性软组织肿瘤(STT)的临床疗效,并评估与恶性STT分级相关的因素。
根据2020年世界卫生组织分类,共有165例患者(96例男性;平均年龄61岁),其中111例为恶性STT,54例为良性STT,于2018年6月至2023年6月期间接受了CS-DCE-MRI检查。还获取了与传统MRI相关的临床、定性和定量参数。在DCE-MRI早期动脉期的后处理过程中,计算了强化时间(TTE)、达峰时间(TTP)、60秒时的初始曲线下面积(iAUC60)和最大斜率。此外,还确定了DCE-MRI延迟动脉期的参数,包括K、K、V和iAUC值以及时间-浓度曲线(TCC)类型。对临床和MRI参数进行统计分析,以区分良性和恶性肿瘤及其与肿瘤分级的相关性。
根据逻辑回归分析,早期动脉期的TTE值(<0.001)、延迟动脉期的V值(=0.039)和iAUC值(=0.006),以及年龄、位置、瘤周水肿和传统MRI上的对比剂异质性,在鉴别良性和恶性肿瘤方面具有显著性(=0.001-0.015)。在所有定量参数中,TTE值的准确性最高,受试者操作特征曲线下面积为0.902。恶性肿瘤的分级与瘤周水肿、CE异质性、视觉扩散受限、最小和平均ADC、TTP、K和V值以及TCC图均显著相关(均<0.05)。
在使用超快DCE-MRI获得的定量参数中,早期动脉期TTE对区分良性和恶性肿瘤最为准确。