Analysis of DCE-MRI features in tumor and the surrounding stroma for prediction of Ki-67 proliferation status in breast cancer

Author(s):  
Lihua Li ◽  
Hui Li ◽  
Ming Fan ◽  
Yuanzhe Li ◽  
Hu Cheng ◽  
...  
Keyword(s):  
Ki 67 ◽  
Dce Mri ◽  
PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0171683 ◽  
Author(s):  
Ming Fan ◽  
Hui Li ◽  
Shijian Wang ◽  
Bin Zheng ◽  
Juan Zhang ◽  
...  

2020 ◽  
Author(s):  
Alexey Surov ◽  
Maciej Pech ◽  
Jin You Kim ◽  
Marco Aiello ◽  
Wei Huang ◽  
...  

Abstract Background: To provide evident data regarding relationships between quantitative dynamic contrast enhanced magnetic resonance imaging (DCE MRI) and prognostic factors in breast cancer (BC).Methods: Data from 4 centers (200 female patients, mean age, 51.2 ± 11.5 years) were acquired. The following data were collected: histopathological diagnosis, tumor grade, stage, hormone receptor status, KI 67, and DCE MRI values including Ktrans (volume transfer constant), Ve (volume of the extravascular extracellular leakage space (EES) and Kep (diffusion of contrast medium from the EES back to the plasma). DCE MRI values between different groups were compared using the Mann–Whitney U test and by the Kruskal-Wallis H test. The association between DCE MRI and Ki 67 values was calculated by Spearman’s rank correlation coefficient. Results: DCE MRI values of different tumor subtypes overlapped significantly. There were no statistically significant differences of DCE MRI values between different tumor grades. All DCE MRI parameters correlated with KI 67: Ktrans, r = 0.44, p=0.0001; Ve, r = 0.34, p=0.0001; Kep, r = 0.28, p=0.002. ROC analysis identified a Ktrans threshold of 0.3 min-1 for discrimination of tumors with low KI 67 expression (<25%) and high KI 67 expression (≥25%): sensitivity, 75.5%, specificity, 73.0%, accuracy, 74.0%, AUC, 0.78. DCE MRI values overlapped between tumors with different T and N stages.Conclusion: Ktrans, Kep, and Ve cannot be used as reliable a surrogate marker for hormone receptor status, tumor stage and grade in BC. Ktrans may discriminate lesions with high and lower proliferation activity.


2020 ◽  
Vol 13 (12) ◽  
pp. 2032-2037 ◽  
Author(s):  
Xiaoming Qiu ◽  
Hong Wang ◽  
Zhen Wang ◽  
Yufei Fu ◽  
Jianjun Yin

Author(s):  
Mohamed Ali EL-Adalany ◽  
Ahmed Abd El-Khalek Abd EL-Razek ◽  
Dina EL-Metwally

Abstract Background Skin-sparing and nipple-sparing mastectomies were considered as alternative techniques for modified radical mastectomy. In patients who are candidates for nipple-sparing mastectomy, preoperative assessment of the nipple-areolar complex (NAC) is essential for adequate surgical planning. Breast MRI is highly sensitive for cancer detection and has an important role in disease staging. The aim of this study was to estimate the role of DCE-MRI in predicting malignant NAC invasion by underlying breast cancer and assess the best predictors on MRI that can suspect malignant NAC invasion. Results Out of the 125 patients with breast cancer, 33 patients (26.4%) showed malignant NAC invasion. On basis of multivariate analysis, abnormal nipple enhancement, tumor nipple enhancement, tumor nipple distance ≤ 2 cm, and abnormal and asymmetric nipple morphology were all significant predictors of malignant NAC invasion (P < 0.001) with abnormal unilateral nipple enhancement as the most important independent MRI predictor of malignant NAC invasion (odds ratio = 61.07, 95% CI 12.81–291.22, P < 0.001). When combining more than positive suspicious MRI features, DCE-MRI had 66.6% sensitivity, 76% specificity, 50% PPV, 86.4% NPV, and 73.6% accuracy in prediction of malignant NAC invasion. Conclusion DCE-MRI could predict malignant NAC invasion with abnormal unilateral nipple enhancement as the most important independent MRI predictor.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Jennifer Xiao ◽  
Habib Rahbar ◽  
Daniel S. Hippe ◽  
Mara H. Rendi ◽  
Elizabeth U. Parker ◽  
...  

AbstractAngiogenesis is a critical component of breast cancer development, and identification of imaging-based angiogenesis assays has prognostic and treatment implications. We evaluated the association of semi-quantitative kinetic and radiomic breast cancer features on dynamic contrast-enhanced (DCE)-MRI with microvessel density (MVD), a marker for angiogenesis. Invasive breast cancer kinetic features (initial peak percent enhancement [PE], signal enhancement ratio [SER], functional tumor volume [FTV], and washout fraction [WF]), radiomics features (108 total features reflecting tumor morphology, signal intensity, and texture), and MVD (by histologic CD31 immunostaining) were measured in 27 patients (1/2016–7/2017). Lesions with high MVD levels demonstrated higher peak SER than lesions with low MVD (mean: 1.94 vs. 1.61, area under the receiver operating characteristic curve [AUC] = 0.79, p = 0.009) and higher WF (mean: 50.6% vs. 22.5%, AUC = 0.87, p = 0.001). Several radiomics texture features were also promising for predicting increased MVD (maximum AUC = 0.84, p = 0.002). Our study suggests DCE-MRI can non-invasively assess breast cancer angiogenesis, which could stratify biology and optimize treatments.


2018 ◽  
Vol 119 (4) ◽  
pp. 508-516 ◽  
Author(s):  
Ashirbani Saha ◽  
Michael R. Harowicz ◽  
Lars J. Grimm ◽  
Connie E. Kim ◽  
Sujata V. Ghate ◽  
...  

2020 ◽  
Vol 24 (6) ◽  
pp. 1632-1642 ◽  
Author(s):  
Ming Fan ◽  
Wei Yuan ◽  
Wenrui Zhao ◽  
Maosheng Xu ◽  
Shiwei Wang ◽  
...  

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