title: Correlation between MR imaging - prognosis factors and molecular classification of breast cancers.
abstract: The molecular classification of breast cancers defines subgroups of cancer with different prognoses and treatments. Each molecular type representing the intrinsic signature of the cancer corresponds to a histological profile incorporating hormone receptors, HER2 status and the proliferation index. This article describes the correlations between this molecular classification obtained in routine clinical practice using histological parameters and MRI. It shows that there is a specific MRI profile for triple-negative cancers: distinct demarcation, regular edges, hyperintensity on T2 weighted signals and, particularly, a crown enhancement. It is important for the radiologist to understand this molecular classification, firstly because of the relatively suggestive appearance of triple-negative basal-like cancers in the molecular classification, secondly, and particularly, as cancers in patients with the BRCA1 mutation are often triple-negative meaning that the criteria for reading the MRI needs to be tailored to this feature of the cancers, and finally because the efficacy of MRI in assessing response to neoadjuvant chemotherapy depends on the molecular class of cancer treated.
authors: Department of Radiology, Lapeyronie Hospital, Montpellier University Hospitals, 34295 Montpellier, France.
authors: C
authors: C
authors: Alili
authors: Department of Radiology, Lapeyronie Hospital, Montpellier University Hospitals, 34295 Montpellier, France.
authors: E
authors: E
authors: Pages
authors: Department of Radiology, Lapeyronie Hospital, Montpellier University Hospitals, 34295 Montpellier, France.
authors: F
authors: F
authors: Curros Doyon
authors: Department of Pathological Anatomy, Montpellier University Hospitals, 34295 Montpellier, France.
authors: H
authors: H
authors: Perrochia
authors: Department of Radiology, Lapeyronie Hospital, Montpellier University Hospitals, 34295 Montpellier, France.
authors: I
authors: I
authors: Millet
authors: Department of Radiology, Lapeyronie Hospital, Montpellier University Hospitals, 34295 Montpellier, France. Electronic address: p-taourel@chu-montpellier.fr.
authors: P
authors: P
authors: Taourel
mesh_terms: D001943:Breast Neoplasms / Q000145:classification* / Q000175:diagnosis*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D025202:Molecular Diagnostic Techniques; D011379:Prognosis
keywords: Breast; MRI; Molecular classification; Prognosis