Correlation between voxel-wise enhancement parameters on DCE-MRI and pathological prognostic factors in invasive breast cancers

Trimboli, Rubina Manuela; Codari, Marina; Chalouhi, Katia Khouri; Ioan, Ileana; Bue, Giovanna Lo; Ottini, Arianna; Casolino, D.S.; Carbonaro, Luca A.; Sardanelli, Francesco

doi:10.1007/s11547-017-0809-8

Cited by 10 publications

(6 citation statements)

References 25 publications

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“…Prior studies have shown that early peak enhancement and delayed washout pattern at MRI are the most important prognostic indicators for both malignancy and more aggressive nature of tumors (1,4,8,9). Kim and colleagues add another potential value of these two DCE MRI parameters, offering greater potential in predicting distant metastasis-free survival at initial staging.…”

Section: Riham H El Khouli MD Phd • Michael a Jacobs Phdmentioning

confidence: 99%

Use of MRI for Personalized Treatment of More Aggressive Tumors

Khouli

Jacobs

2020

Radiology

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Section: Riham H El Khouli MD Phd • Michael a Jacobs Phdmentioning

confidence: 99%

Use of MRI for Personalized Treatment of More Aggressive Tumors

Khouli

Jacobs

2020

Radiology

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“…By fast progress in quantitative radiology modalities, tumor biology and genetics can be assessed in a more accurate, predictive, and cost-effective method [22]. Several previous studies investigated the relationship between quantitative MRI parameters and molecular subtypes of breast cancer [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]; however, there is still no evident data about cut off values between breast cancers with low Ki-67 proliferation index and those with high Ki-67 proliferation index.…”

Section: Introductionmentioning

confidence: 99%

Preoperative prediction of Ki-67 status in invasive breast carcinoma using dynamic contrast-enhanced MRI, diffusion-weighted imaging and diffusion tensor imaging

EL-Metwally

Monier

Hassan

et al. 2023

Egypt J Radiol Nucl Med

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Background The Ki-67 is a beneficial marker of tumor aggressiveness. It is proliferation index that has been used to distinguish luminal B from luminal A breast cancers. By fast progress in quantitative radiology modalities, tumor biology and genetics can be assessed in a more accurate, predictive, and cost-effective method. The aim of this study was to assess the role of dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted imaging and diffusion tensor imaging in prediction of Ki-67 status in patients with invasive breast carcinoma estimate cut off values between breast cancer with high Ki-67 status and those with low Ki-67 status. Results Cut off ADC (apparent diffusion co-efficient) value of 0.657 mm2/s had 96.4% sensitivity, 75% specificity and 93.8% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off maximum enhancement value of 1715 had 96.4% sensitivity, 75% specificity and 93.8% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off washout rate of 0.73 I/S had 60.7% sensitivity, 75% specificity and 62.5% accuracy in differentiating cases with high Ki67 from those with low Ki67. Cut off time to peak value of 304 had 71.4% sensitivity, 75% specificity and 71.9% accuracy in differentiating cases with high Ki67 from those with low Ki67. Conclusions ADC, time to peak and maximum enhancement values had high sensitivity, specificity and accuracy in differentiating breast cancer with high Ki-67 status from those with low Ki-67 status.

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“…DCE-MRI provides information on morphology and vascularization of the tumor [ 16 , 17 , 18 , 19 ]. BOLD MRI gives information on blood hemoglobin oxygenation including the contribution of blood volume, hematocrit, flow, hemoglobin oxygen saturation, as well as pH, 2,3 DPG [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Blood Oxygenation Level Dependent Magnetic Resonance Imaging (MRI), Dynamic Contrast Enhanced MRI, and Diffusion Weighted MRI for Benign and Malignant Breast Cancer Discrimination: A Preliminary Experience

Fusco

Granata

Raso

et al. 2021

Cancers

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Purpose. To combine blood oxygenation level dependent magnetic resonance imaging (BOLD-MRI), dynamic contrast enhanced MRI (DCE-MRI), and diffusion weighted MRI (DW-MRI) in differentiation of benign and malignant breast lesions. Methods. Thirty-seven breast lesions (11 benign and 21 malignant lesions) pathologically proven were included in this retrospective preliminary study. Pharmaco-kinetic parameters including Ktrans, kep, ve, and vp were extracted by DCE-MRI; BOLD parameters were estimated by basal signal S0 and the relaxation rate R2*; and diffusion and perfusion parameters were derived by DW-MRI (pseudo-diffusion coefficient (Dp), perfusion fraction (fp), and tissue diffusivity (Dt)). The correlation coefficient, Wilcoxon-Mann-Whitney U-test, and receiver operating characteristic (ROC) analysis were calculated and area under the ROC curve (AUC) was obtained. Moreover, pattern recognition approaches (linear discrimination analysis and decision tree) with balancing technique and leave one out cross validation approach were considered. Results. R2* and D had a significant negative correlation (−0.57). The mean value, standard deviation, Skewness and Kurtosis values of R2* did not show a statistical significance between benign and malignant lesions (p > 0.05) confirmed by the ‘poor’ diagnostic value of ROC analysis. For DW-MRI derived parameters, the univariate analysis, standard deviation of D, Skewness and Kurtosis values of D* had a significant result to discriminate benign and malignant lesions and the best result at the univariate analysis in the discrimination of benign and malignant lesions was obtained by the Skewness of D* with an AUC of 82.9% (p-value = 0.02). Significant results for the mean value of Ktrans, mean value, standard deviation value and Skewness of kep, mean value, Skewness and Kurtosis of ve were obtained and the best AUC among DCE-MRI extracted parameters was reached by the mean value of kep and was equal to 80.0%. The best diagnostic performance in the discrimination of benign and malignant lesions was obtained at the multivariate analysis considering the DCE-MRI parameters alone with an AUC = 0.91 when the balancing technique was considered. Conclusions. Our results suggest that the combined use of DCE-MRI, DW-MRI and/or BOLD-MRI does not provide a dramatic improvement compared to the use of DCE-MRI features alone, in the classification of breast lesions. However, an interesting result was the negative correlation between R2* and D.

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Correlation between voxel-wise enhancement parameters on DCE-MRI and pathological prognostic factors in invasive breast cancers

Abstract: In invasive BCs, DCE-MRI voxel-wise enhancement parameters correlated with HER2, pT, and pN.

Cited by 10 publications

References 25 publications

Use of MRI for Personalized Treatment of More Aggressive Tumors

Use of MRI for Personalized Treatment of More Aggressive Tumors

Preoperative prediction of Ki-67 status in invasive breast carcinoma using dynamic contrast-enhanced MRI, diffusion-weighted imaging and diffusion tensor imaging

Blood Oxygenation Level Dependent Magnetic Resonance Imaging (MRI), Dynamic Contrast Enhanced MRI, and Diffusion Weighted MRI for Benign and Malignant Breast Cancer Discrimination: A Preliminary Experience

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