IVIM and DCE-MRI in Predicting Phenotypic Subtypes and Nottingham Prognostic Index of Breast Cancer

被引:1
作者
Sun, Zhanguo [1 ]
Zhou, Zhe [1 ]
Wang, Lei [2 ]
Zhu, Laimin [1 ]
Chen, Yueqin [1 ]
Liu, Qiaolu [1 ]
机构
[1] Jining Med Univ, Dept Radiol, Affiliated Hosp, Jining, Shandong, Peoples R China
[2] Jining Med Univ, Affiliated Hosp, Dept Breast Surg, Jining, Shandong, Peoples R China
来源
JCPSP-JOURNAL OF THE COLLEGE OF PHYSICIANS AND SURGEONS PAKISTAN | 2024年 / 34卷 / 04期
关键词
Breast neoplasms; Intravoxel incoherent motion; Dynamic contrast enhanced magnetic resonance imaging; Phenotypic subtypes; Nottingham prognostic index; CONTRAST;
D O I
10.29271/jcpsp.2024.04.400
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: To explore the value of intravoxel incoherent motion (IVIM) and dynamic contrast enhanced MRI (DCE-MRI) for predicting phenotypic subtypes and Nottingham prognostic index (NPI) of breast cancer. Study Design: Descriptive study. Place and Duration of the Study: Department of Radiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China, from March 2020 to January 2022. Methodology: One hundred and forty-one breast cancer patients with preoperative IVIM and DCE imaging were collected. IVIM parameters of D, D*, f, and DCE-MRI parameters of K-trans, Kep, and Ve were measured. Receiver operating characteristic curves were conducted to assess the diagnostic efficacies. Additionally, 40 patients collected from February 2022 to July 2022 were enrolled as validation cohort. Results: The D value in HER2-enriched (HER2-E) was lower than that in non -HER -E, while D*, K-trans, and Ve values were higher than that in non -HER -E (p < 0.001, 0.046, < 0.001, and < 0.001, respectively). D + K-trans + Ve showed an optimal diagnostic efficiency (AUC = 0.868). Meanwhile, D* and f values of triple -negative breast cancer (TNBC) were higher than those of non-TNBC, and Ve value of TNBC was lower than that of non-TNBC (p = 0.013, 0.006, and < 0.001, respectively). D* + f+ Ve showed the best prediction performance (AUC = 0.849). Additionally, D and Kep were independent predictors of NPI (p < 0.001, and 0.002, respectively). D + Kep showed a good diagnostic efficiency (AUC = 0.818). Conclusion: The combined IVIM and DCE-MRI model showed enhanced diagnostic efficiency in predicting phenotypic subtypes and NPI of breast cancer, and might thus be considered efficient in therapy decision -making for patients.
引用
收藏
页码:400 / 406
页数:7
相关论文
共 23 条
[1]   Nottingham Prognostic Index in Triple-Negative Breast Cancer: a reliable prognostic tool? [J].
Albergaria, Andre ;
Ricardo, Sara ;
Milanezi, Fernanda ;
Carneiro, Vtor ;
Amendoeira, Isabel ;
Vieira, Daniella ;
Cameselle-Teijeiro, Jorge ;
Schmitt, Fernando .
BMC CANCER, 2011, 11
[2]   Correlation of dynamic contrast-enhanced MRI and diffusion-weighted MR imaging with prognostic factors and subtypes of breast cancers [J].
Chen, Hui ;
Li, Wei ;
Wan, Chao ;
Zhang, Jue .
FRONTIERS IN ONCOLOGY, 2022, 12
[3]   Triple-Negative Breast Cancers: Systematic Review of the Literature on Molecular and Clinical Features with a Focus on Treatment with Innovative Drugs [J].
Diana, Anna ;
Franzese, Elisena ;
Centonze, Sara ;
Carlino, Francesca ;
Della Corte, Carminia Maria ;
Ventriglia, Jole ;
Petrillo, Angelica ;
De Vita, Ferdinando ;
Alfano, Roberto ;
Ciardiello, Fortunato ;
Orditura, Michele .
CURRENT ONCOLOGY REPORTS, 2018, 20 (10)
[4]   Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis [J].
Dorrius, Monique D. ;
Dijkstra, Hildebrand ;
Oudkerk, Matthijs ;
Sijens, Paul E. .
EUROPEAN RADIOLOGY, 2014, 24 (11) :2835-2847
[5]   Novel Immune-Related Gene Signature for Risk Stratification and Prognosis of Survival in ER (+) and/or PR (+) and HER2 (-) Breast Cancer [J].
Du, Feng ;
Zheng, Fangchao ;
Han, Ying ;
Zhao, Jiuda ;
Yuan, Peng .
FRONTIERS IN PHARMACOLOGY, 2022, 13
[6]   Correlation between apparent diffusion coefficient of magnetic resonance imaging and tumor-infiltrating lymphocytes in breast cancer [J].
Fogante, Marco ;
Tagliati, Corrado ;
De Lisa, Mariagrazia ;
Berardi, Rossana ;
Giuseppetti, Gian Marco ;
Giovagnoni, Andrea .
RADIOLOGIA MEDICA, 2019, 124 (07) :581-587
[7]   Breast MRI Radiogenomics: Current Status and Research Implications [J].
Grimm, Lars J. .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2016, 43 (06) :1269-1278
[8]   Application of Diffusion Weighted Imaging Techniques for Differentiating Benign and Malignant Breast Lesions [J].
He, Muzhen ;
Ruan, Huiping ;
Ma, Mingping ;
Zhang, Zhongshuai .
FRONTIERS IN ONCOLOGY, 2021, 11
[9]   Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers [J].
Koo, Hye Ryoung ;
Cho, Nariya ;
Song, In Chan ;
Kim, Hyeonjin ;
Chang, Jung Min ;
Yi, Ann ;
Yun, Bo La ;
Moon, Woo Kyung .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2012, 36 (01) :145-151
[10]   Predictive Ki-67 Proliferation Index of Cervical Squamous Cell Carcinoma Based on IVIM-DWI Combined with Texture Features [J].
Li, Cuiping ;
Zheng, Mingxue ;
Zheng, Xiaomin ;
Fang, Xin ;
Dong, Jiangning ;
Wang, Chuanbin ;
Wang, Tingting .
CONTRAST MEDIA & MOLECULAR IMAGING, 2021, 2021