Combination of IVIM with DCE-MRI for diagnostic and prognostic evaluation of breast cancer

被引:2
作者
Zhang, Jing [1 ]
Zheng, Yurong [1 ,2 ]
Li, Li [1 ,2 ]
Wang, Rui [1 ,2 ]
Jiang, Weilong [3 ]
Ai, Kai [4 ]
Gan, Tiejun [1 ,2 ]
Wang, Pengfei [1 ,2 ]
机构
[1] LanZhou Univ, Hosp 2, Dept Magnet Resonance, Lanzhou 730030, Peoples R China
[2] Gansu Prov Clin Res Ctr Funct & Mol Imaging, Lanzhou 730030, Peoples R China
[3] Gansu Prov Hosp Tradit Chinese Med, Lanzhou 730000, Gansu, Peoples R China
[4] Philips Healthcare, Xian, Peoples R China
关键词
IVIM; DCE-MRI; ER; PR; HER2; ALN(axillary lymph node); Breast cancer; correlation analysis; CONTRAST-ENHANCED MRI; APPARENT DIFFUSION-COEFFICIENT; PERFUSION PARAMETERS; KINETIC CURVE; WEIGHTED MRI; KI-67; ASSOCIATIONS; EXPRESSION; PREDICTION; SUBTYPES;
D O I
10.1016/j.mri.2024.07.003
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
Purpose: To identify the most effective combination of DCE-MRI (K-trans,K-ep) and IVIM (D,f) and analyze the correlations of these parameters with prognostic indicators (ER, PR, and HER2, Ki-67 index, axillary lymph node (ALN) and tumor size) to improve the diagnostic and prognostic efficiency in breast cancer. Methods: This is a prospective study. We performed T1WI, T2WI, IVIM, DCE-MRI at 3 T MRI examinations on benign and malignant breast lesions that met the inclusion criteria. We also collected pathological results of corresponding lesions, including ER, PR, and HER2, Ki-67 index, axillary lymph node (ALN) and tumor size. The diagnostic efficacy of DCE-MRI, IVIM imaging, and their combination for benign and malignant breast lesions was assessed. Correlations between the DCE-MRI and IVIM parameters and prognostic indicators were assessed. Results: Overall,59 female patients with 62 lesions (22 benign lesions and 40 malignant lesions) were included in this study. The malignant group showed significantly lower D values (p < 0.05) and significantly higher K-trans, K-ep, and f values (p < 0.05). The AUC values of DCE, IVIM, DCE + IVIM were 0.828, 0.882, 0.901. K-trans, K-ep, D and f values were correlated with the pathological grade (p < 0.05); K-trans was negatively correlated with ER expression (r = -0.519, p < 0.05); K-ep was correlated with PR expression and the Ki-67 index (r = -0.489, 0.330, p < 0.05); the DCE and IVIM parameters showed no significant correlations with the HER2 and ALN (p > 0.05). Tumor diameter was correlated with the K-ep, D and f values (r = 0.246, -0.278, 0.293; p < 0.05). Conclusion: IVIM and DCE-MRI allowed differential diagnosis of benign and malignant breast lesions, and their combination showed significantly better diagnostic efficiency. DCE- and IVIM-derived parameters showed correlations with some prognostic factors for breast cancer.
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页数:8
相关论文
共 43 条
[31]   The potential of multiparametric MRI of the breast [J].
Pinker, Katja ;
Helbich, Thomas H. ;
Morris, Elizabeth A. .
BRITISH JOURNAL OF RADIOLOGY, 2017, 90 (1069)
[32]   HER2/neu and Ki-67 expression predict non-invasive recurrence following breast-conserving therapy for ductal carcinoma in situ [J].
Rakovitch, E. ;
Nofech-Mozes, S. ;
Hanna, W. ;
Narod, S. ;
Thiruchelvam, D. ;
Saskin, R. ;
Spayne, J. ;
Taylor, C. ;
Paszat, L. .
BRITISH JOURNAL OF CANCER, 2012, 106 (06) :1160-1165
[33]   Histological grade in breast cancer:: association with clinical and biological features in a series of 229 patients [J].
Ruibal, A ;
Arias, JI ;
Del Río, MC ;
Lapeña, G ;
Schneider, J ;
Tejerina, A .
INTERNATIONAL JOURNAL OF BIOLOGICAL MARKERS, 2001, 16 (01) :56-61
[34]   Can pre-operative contrast-enhanced dynamic MR imaging for prostate cancer predict microvessel density in prostatectomy specimens? [J].
Schlemmer, HP ;
Merkle, J ;
Grobholz, R ;
Jaeger, T ;
Michel, MS ;
Werner, A ;
Rabe, J ;
van Kaick, G .
EUROPEAN RADIOLOGY, 2004, 14 (02) :309-317
[36]   Intravoxel incoherent motion diffusion-weighted MRI of invasive breast cancer: Correlation with prognostic factors and kinetic features acquired with computer-aided diagnosis [J].
Song, Sung Eun ;
Cho, Kyu Ran ;
Seo, Bo Kyoung ;
Woo, Ok Hee ;
Park, Kyong Hwa ;
Son, Yo Han ;
Grimm, Robert .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 49 (01) :118-130
[37]   Predictive value of axillary nodal imaging by magnetic resonance imaging based on breast cancer subtype after neoadjuvant chemotherapy [J].
Steiman, Jennifer ;
Soran, Atilla ;
McAuliffe, Priscilla ;
Diego, Emilia ;
Bonaventura, Marguerite ;
Johnson, Ronald ;
Ahrendt, Gretchen ;
McGuire, Kandace .
JOURNAL OF SURGICAL RESEARCH, 2016, 204 (01) :237-241
[38]   Breast Cancer: Diffusion Kurtosis MR Imaging-Diagnostic Accuracy and Correlation with Clinical-Pathologic Factors [J].
Sun, Kun ;
Chen, Xiaosong ;
Chai, Weimin ;
Fei, Xiaochun ;
Fu, Caixia ;
Yan, Xu ;
Zhan, Ying ;
Chen, Kemin ;
Shen, Kunwei ;
Yan, Fuhua .
RADIOLOGY, 2015, 277 (01) :46-55
[39]   Application of DWIBS in malignant lymphoma: correlation between ADC values and Ki-67 index [J].
Sun, Mengtian ;
Cheng, Jingliang ;
Zhang, Yong ;
Bai, Jie ;
Wang, Feifei ;
Meng, Yun ;
Li, Zhenqian .
EUROPEAN RADIOLOGY, 2018, 28 (04) :1701-1708
[40]   Early Prediction and Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy Using Quantitative DCE-MRI [J].
Tudorica, Alina ;
Oh, Karen Y. ;
Chui, Stephen Y-C ;
Roy, Nicole ;
Troxell, Megan L. ;
Naik, Arpana ;
Kemmer, Kathleen A. ;
Chen, Yiyi ;
Holtorf, Megan L. ;
Afzal, Aneela ;
Springer, Charles S., Jr. ;
Li, Xin ;
Huang, Wei .
TRANSLATIONAL ONCOLOGY, 2016, 9 (01) :8-17