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1.
Eur Radiol ; 32(3): 1853-1865, 2022 Mar.
Article in English | MEDLINE | ID: mdl-34536111

ABSTRACT

OBJECTIVES: Cancer therapy-related cardiac dysfunction (CTRCD) is a relevant clinical problem and needs early prediction. This study aimed to analyze myocardial injury using serial laboratory and cardiac magnetic resonance imaging (CMR) parameters after epirubicin-based chemotherapy compared with left-sided radiotherapy and to study their value for early prediction of CTRCD. METHODS: Sixty-six consecutive women (53 ± 13 years) including n = 39 with epirubicin-based chemotherapy and n = 27 with left-sided radiotherapy were prospectively studied by 3 T CMR including left ventricular (LV) mass and volumes for ejection fraction (LVEF), as well as feature-tracking with global longitudinal strain (GLS) and T1/T2 mapping. CMR was performed at baseline, at therapy completion (follow-up 1, FU1), and after 13 ± 2 months (FU2). CTRCD was defined as LVEF decline of at least 10% to < 55% or a > 15% GLS change at FU2. RESULTS: T1 and T2 increased at FU1 after epirubicin-based chemotherapy, but not after left-sided radiotherapy. CTRCD occurred in 20% of patients after epirubicin-based chemotherapy and in 4% after left-sided radiotherapy. T1 at FU1 was the best single parameter to predict CTRCD with an area under the curve (AUC) of 0.712 (CI 0.587-0.816, p = 0.005) with excellent sensitivity (100%, 66-100%), but low specificity (44%, 31-58%). Combined use of increased T1 and LVEF ≤ 60% at FU1 improved AUC to 0.810 (0.695-0.896) resulting in good sensitivity (78%, 44-95%) and specificity (84%, 72-92%). CONCLUSION: Only epirubicin-based chemotherapy, but not left-sided radiotherapy, resulted in increased T1/T2 myocardial relaxation times as a marker of myocardial injury. Combined use of CMR parameters may allow an early prediction of subsequent CTCRD. KEY POINTS: • Myocardial T1 and T2 relaxation times increased at FU1 after epirubicin-based chemotherapy, but not after left-sided radiotherapy. • Cancer therapy-related cardiac dysfunction (CTRCD) occurred in 20% of patients after epirubicin-based chemotherapy and in 4% after left-sided radiotherapy. • Combined use of increased T1 and reduced LVEF had an AUC of 0.810 (0.695-0.896) to predict CTRCD with good sensitivity (78%, 44-95%) and specificity (84%, 72-92%).


Subject(s)
Breast Neoplasms , Heart Diseases , Ventricular Dysfunction, Left , Breast Neoplasms/drug therapy , Breast Neoplasms/radiotherapy , Cardiotoxicity/diagnostic imaging , Cardiotoxicity/etiology , Epirubicin/adverse effects , Female , Humans , Magnetic Resonance Imaging , Magnetic Resonance Imaging, Cine , Predictive Value of Tests , Stroke Volume , Ventricular Dysfunction, Left/chemically induced , Ventricular Dysfunction, Left/diagnostic imaging , Ventricular Function, Left
2.
Breast ; 55: 98-104, 2021 Feb.
Article in English | MEDLINE | ID: mdl-33395600

ABSTRACT

BACKGROUND: The potential benefit of additional breast cancer screening examinations in moderate risk patients (patients with a history of breast cancer in one or two family members) remains unclear. METHODS: A large population-based case-control study on breast cancer in postmenopausal women in Germany recruited 2002-2005 (3813 cases and 7341 age-matched controls) was used to assess the association of family history with breast cancer risk. Analysis of family history, participation in screening procedures, and tumor size regarding prognosis in patients was based on follow-up data until 2015. RESULTS: A first degree family history of breast cancer was associated with higher breast cancer risk (OR 1.39, p < 0.001). Patients with a first degree family history of breast cancer were more likely to have had >10 mammograms (MG) (42.7% vs. 24.9%, p < 0.001) and showed a higher rate of imaging-detected tumors (MG or ultrasound) (45.8% vs. 31.9%, p < 0.001). A smaller tumor size at initial diagnosis (below 2 cm) was more likely in patients with a positive family history (OR 1.45, p < 0.001) and a higher number of MG (≥10 MG: OR 2.29). After accounting for tumor characteristics, mammogram regularity (HR 0.72, p < 0.001) and imaging-assisted tumor detection (HR 0.66, p < 0.001) were associated with better overall survival but not with a positive family history. DISCUSSION: Patients with a positive family history had a higher rate of imaging detected tumors with smaller size at initial diagnosis compared to patients without affected family members. Screening was associated with improved survival after a breast cancer diagnosis, irrespective of a positive family history.


Subject(s)
Breast Neoplasms , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/genetics , Case-Control Studies , Early Detection of Cancer , Female , Humans , Mammography , Mass Screening , Prognosis , Risk Factors
3.
Dtsch Med Wochenschr ; 142(22): 1669-1675, 2017 Nov.
Article in German | MEDLINE | ID: mdl-29078212

ABSTRACT

Within the last years, significant improvements have been achieved in breast cancer treatment, particularly with the development of targeted therapies. Major progress has been made in identifying the drivers malignant growth in oestrogen-receptor-positive breast cancer and the mechanisms of resistance to endocrine therapy. This progress has translated into several targeted therapies that enhance the efficacy of endocrine therapy; inhibitors of the cyclin-dependent kinases CDK4 and CDK6 like palbociclib and inhibitors of mTOR substantially improve progression-free survival. For patients with HER2-positive disease the addition of Pertuzumab to Trastuzumab in combination with chemotherapy has been a significant improvement in anti-HER2 therapy in early as well as metastatic breast cancer. Evidence-based further line therapy options in the metastatic setting include T-DM1 and in later lines Lapatinib. For triple negative disease the angiogenesis inhibitor Bevacizumab is approved, which increases progression free survival. Immune checkpoint inhibitors, PARP-inhibitors or anti-androgens represent promising strategies, all of which are currently being evaluated in clinical trials. The development of predictive biomarkers to guide targeted therapies is still the subject of research.


Subject(s)
Antineoplastic Agents/therapeutic use , Breast Neoplasms , Molecular Targeted Therapy/methods , Breast Neoplasms/drug therapy , Breast Neoplasms/mortality , Disease-Free Survival , Female , Humans
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