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Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer.
Sassi, Antti; Salminen, Annukka; Jukkola, Arja; Tervo, Maija; Mäenpää, Niina; Turtiainen, Saara; Tiainen, Leena; Liimatainen, Timo; Tolonen, Teemu; Huhtala, Heini; Rinta-Kiikka, Irina; Arponen, Otso.
Afiliação
  • Sassi A; Department of Radiology, Tampere University Hospital, Elämänaukio 1, 33520, Tampere, Finland. antti.sassi@fimnet.fi.
  • Salminen A; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. antti.sassi@fimnet.fi.
  • Jukkola A; Department of Radiology, Tampere University Hospital, Elämänaukio 1, 33520, Tampere, Finland.
  • Tervo M; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
  • Mäenpää N; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
  • Turtiainen S; Department of Oncology, Tays Cancer Center, Tampere University Hospital, Tampere, Finland.
  • Tiainen L; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
  • Liimatainen T; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
  • Tolonen T; Department of Oncology, Tays Cancer Center, Tampere University Hospital, Tampere, Finland.
  • Huhtala H; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
  • Rinta-Kiikka I; Department of Surgery, Tampere University Hospital, Tampere, Finland.
  • Arponen O; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Eur Radiol ; 33(11): 8080-8088, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37646814
ABSTRACT

OBJECTIVES:

To assess whether mammographic breast density in women diagnosed with breast cancer correlates with the total number of incidental magnetic resonance imaging (MRI)-detected lesions and the likelihood of the lesions being malignant.

METHODS:

Patients diagnosed with breast cancer meeting the EUSOBI and EUSOMA criteria for preoperative breast MRI routinely undergo mammography and ultrasound before MRI at our institution. Incidental suspicious breast lesions detected in MRI are biopsied. We included patients diagnosed with invasive breast cancers between 2014 and 2019 who underwent preoperative breast MRI. One reader retrospectively determined breast density categories according to the 5th edition of the BI-RADS lexicon.

RESULTS:

Of 946 patients with 973 malignant primary breast tumors, 166 (17.5%) had a total of 175 (18.0%) incidental MRI-detected lesions (82 (46.9%) malignant and 93 (53.1%) benign). High breast density according to BI-RADS was associated with higher incidence of all incidental enhancing lesions in preoperative breast MRIs 2.66 (95% confidence interval 1.03-6.86) higher for BI-RADS density category B, 2.68 (1.04-6.92) for category C, and 3.67 (1.36-9.93) for category D compared to category A (p < 0.05). However, high breast density did not predict higher incidence of malignant incidental lesions (p = 0.741). Incidental MRI-detected lesions in the contralateral breast were more likely benign (p < 0.001) 18 (27.3%)/48 (72.7%) vs. 64 (58.7%)/45 (41.3%) malignant/benign incidental lesions in contralateral vs. ipsilateral breasts.

CONCLUSION:

Women diagnosed with breast cancer who have dense breasts have more incidental MRI-detected lesions, but higher breast density does not translate to increased likelihood of malignant incidental lesions. CLINICAL RELEVANCE STATEMENT Dense breasts should not be considered as an indication for preoperative breast MRI in women diagnosed with breast cancer. KEY POINTS • The role of preoperative MRI of patients with dense breasts diagnosed with breast cancer is under debate. • Women with denser breasts have a higher incidence of all MRI-detected incidental breast lesions, but the incidence of malignant MRI-detected incidental lesions is not higher than in women with fatty breasts. • High breast density alone should not indicate preoperative breast MRI.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Idioma: En Ano de publicação: 2023 Tipo de documento: Article