Qualitative and quantitative parameters of dynamic contrast-enhanced (DCE) MRI as a diagnostic determinant of soft tissue tumor malignancy: a study from Indonesia

被引:1
|
作者
Rosida, Yulia Rosa [1 ]
Sukmaningtyas, Hermina [1 ]
Imawati, Sukma [1 ]
Prajoko, Yan Wisnu [2 ]
Sadhana, Udadi [3 ]
机构
[1] Univ Diponegoro, Fak Kedokteran, Radiol Dept, Prof Sudarto St 13, Semarang 50275, Central Java, Indonesia
[2] Univ Diponegoro, Fak Kedokteran, Surg Dept Oncol, Prof Sudarto St 13, Semarang 50275, Central Java, Indonesia
[3] Univ Diponegoro, Fak Kedokteran, Anat Pathol Dept, Prof Sudarto St 13, Semarang 50275, Central Java, Indonesia
来源
关键词
DCE; Malignancy; MRI; Soft tissue tumor; DIFFERENTIATION; PERFUSION; BENIGN; UPDATE; BREAST;
D O I
10.1186/s43055-023-01064-3
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
BackgroundSoft tissue tumors encompass a large variety of benign and malignant lesions which are classified histologically based on the components. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a non-invasive technique that is used in differentiating benign from malignant lesions by observing the differences in the enhancement rates, index of lesion vascularity and perfusion. Therefore, this research aimed to evaluate the diagnostic efficacy of qualitative and quantitative parameters of DCE-MRI in the malignancy of soft tissue tumors.MethodsThe type of time-intensity curve (TIC), K-trans, K-ep,K- and V-e values were obtained from 30 soft tissue tumor (17 malignant and 13 benign) from patients who performed the DCE-MRI examination. The obtained values were then statistically analyzed to get the cutoff point, sensitivity, and specificity in determining the malignancy of soft tissue tumors.ResultsTIC, K-trans, and K-ep values were significantly differentiated into benign and malignant soft tissue tumors except for V-e. The TIC for benign soft tissue tumors was predominantly by type 2, while type 3, 4, and 5 were predominantly malignant. The AUC of the ROC curve demonstrated a diagnostic potential of K-trans (0.873) and K-ep (0.889). Furthermore, the cutoff point for K-trans and K-ep was 0.2905 and 0.3365 with a sensitivity of 88.2% and 94.1%, specificity of 84.6%, PPV of 88.2% and 88.9%, and NPV of 84.6%, and 91.7%.ConclusionsQualitative and quantitative parameters of DCE-MRI helped diagnose soft tissue tumor malignancy with a cutoff point for K-trans 0.2905 and K-ep 0.3365.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Differences in perfusion parameters between upper and lower lumbar vertebral segments with dynamic contrast-enhanced MRI (DCE MRI)
    Savvopoulou, Vasiliki
    Maris, Thomas G.
    Vlahos, Lampros
    Moulopoulos, Lia Angela
    EUROPEAN RADIOLOGY, 2008, 18 (09) : 1876 - 1883
  • [22] Differences in perfusion parameters between upper and lower lumbar vertebral segments with dynamic contrast-enhanced MRI (DCE MRI)
    Vasiliki Savvopoulou
    Thomas G. Maris
    Lampros Vlahos
    Lia Angela Moulopoulos
    European Radiology, 2008, 18 : 1876 - 1883
  • [23] Dynamic contrast-enhanced MRI with subtraction of aggressive soft tissue tumors after resection
    Daniel Vanel
    Lorraine G. Shapeero
    Anne Tardivon
    André Western
    Jean Marc Guinebretière
    Skeletal Radiology, 1998, 27 : 505 - 510
  • [24] Dynamic contrast-enhanced MRI with subtraction of aggressive soft tissue tumors after resection
    Vanel, D
    Shapeero, LG
    Tardivon, A
    Western, A
    Guinebretière, JM
    SKELETAL RADIOLOGY, 1998, 27 (09) : 505 - 510
  • [25] Relationship between kinetic parameters of ultrafast dynamic contrast-enhanced (DCE) MRI and tumor-infiltrating lymphocytes (TILs) in breast cancer
    Yamaguchi, Ken
    Nakazono, Takahiko
    Egashira, Ryoko
    Fukui, Shuichi
    Imaizumi, Tsutomu
    Maruyama, Katsuya
    Nickel, Dominik
    Hamamoto, Takahiro
    Yamaguchi, Rin
    Irie, Hiroyuki
    JAPANESE JOURNAL OF RADIOLOGY, 2025, 43 (01) : 43 - 50
  • [26] Comparison of Quantitative Parameters in Cervix Cancer Measured by Dynamic Contrast-Enhanced MRI and CT
    Yang, Cheng
    Stadler, Walter M.
    Karczmar, Gregory S.
    Milosevic, Michael
    Yeung, Ivan
    Haider, Masoom A.
    MAGNETIC RESONANCE IN MEDICINE, 2010, 63 (06) : 1601 - 1609
  • [27] Quantitative Assessment of Tumor Cell Proliferation in Brain Gliomas with Dynamic Contrast-Enhanced MRI
    Jiang, Jia Shen
    Hua, Ye
    Zhou, Xue Jun
    Shen, Dan Dan
    Shi, Jin Long
    Ge, Min
    Geng, Qi Nan
    Jia, Zhong Zheng
    ACADEMIC RADIOLOGY, 2019, 26 (09) : 1215 - 1221
  • [28] IMPROVING THE ROBUSTNESS OF QUANTITATIVE DYNAMIC CONTRAST-ENHANCED MRI FOR TUMOR DELINEATION IN PROSTATE CANCER
    Korporaal, J.
    van den Berg, N.
    van Osch, M.
    Groenendaal, G.
    van Vulpen, M.
    van der Heide, U.
    RADIOTHERAPY AND ONCOLOGY, 2011, 99 : S128 - S129
  • [29] Relationship between diffusion parameters derived from intravoxel incoherent motion MRI and perfusion measured by dynamic contrast-enhanced MRI of soft tissue tumors
    Marzi, Simona
    Stefanetti, Linda
    Sperati, Francesca
    Anelli, Vincenzo
    NMR IN BIOMEDICINE, 2016, 29 (01) : 6 - 14
  • [30] Diagnostic Performance of Dynamic Contrast-Enhanced MRI and 18F-FDG PET/CT for Evaluation of Soft Tissue Tumors and Correlation with Pathology Parameters
    Zhang, Yu
    Zhao, Haijing
    Liu, Yayi
    Zeng, Manqin
    Zhang, Jun
    Hao, Dapeng
    ACADEMIC RADIOLOGY, 2022, 29 (12) : 1842 - 1851