2021
DOI: 10.3390/jpm11040256
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Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI

Abstract: Background: For assessing the predictability of oncology neoadjuvant therapy results, the background parenchymal enhancement (BPE) parameter in breast magnetic resonance imaging (MRI) has acquired increased interest. This work aims to qualitatively evaluate the BPE parameter as a potential predictive marker for neoadjuvant therapy. Method: Three radiologists examined, in triple-blind modality, the MRIs of 80 patients performed before the start of chemotherapy, after three months from the start of treatment, an… Show more

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Cited by 21 publications
(22 citation statements)
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“…In recent years, it has also been suggested to use background parenchymal enhancement (BPE) in the assessment of responses to NAC, which describes the enhancement of the normal breast tissue related to physiological vascularization. La Forgia et al, indicated that BPE is an important aspect that conditions the diagnosis and that it is a potential predictive factor in the response to neoadjuvant cancer therapies in graphic contrast examinations, as already confirmed in MRI and CESM examinations [ 46 , 47 , 48 ].…”
Section: Discussionmentioning
confidence: 89%
“…In recent years, it has also been suggested to use background parenchymal enhancement (BPE) in the assessment of responses to NAC, which describes the enhancement of the normal breast tissue related to physiological vascularization. La Forgia et al, indicated that BPE is an important aspect that conditions the diagnosis and that it is a potential predictive factor in the response to neoadjuvant cancer therapies in graphic contrast examinations, as already confirmed in MRI and CESM examinations [ 46 , 47 , 48 ].…”
Section: Discussionmentioning
confidence: 89%
“…Dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) is increasingly being used to evaluate the NAC response because of its high sensitivity and accuracy [10,11]. It not only reflects the morphological characteristics of the lesion, determining the size and boundary of the residual tumor, but also evaluates the changes in tissue function, microenvironment characteristics and metabolism [11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%
“…Another factor associated with BPE reduction after initiating neoadjuvant therapy was tumor size. Analyzing the BPE obtained from breast MRI images, La Forgia and collaborators highlight the potential of the method to predict early the response to therapy but also mention the potential of including radiomic analysis in the algorithm for early prediction of response to neoadjuvant therapy in breast cancer [55].…”
Section: Radiomics In Breast Cancer Researchmentioning
confidence: 99%