Titlebook: Breast MRI for High-risk Screening; Francesco Sardanelli,Franca Podo Book 2020 Springer Nature Switzerland AG 2020 Breast cancer.screening

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书目名称Breast MRI for High-risk Screening年度引用学科排名




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书目名称Breast MRI for High-risk Screening读者反馈学科排名

Contracture

Left-Atrium

https://doi.org/10.1057/9780230201743versatile medical imaging modality, with relevant application to breast cancer screening and diagnostics. This long way was a constellation of Nobel laureates who contributed to: establish the physical principles of the phenomenon (W. E. Pauli); provide the first description of a resonance method fo

Neonatal

Overall Assessment and Discussion,vity. On the other hand, breast MRI has been criticized for its supposedly inherently low or at least inferior specificity as compared to mammography and ultrasound. This book chapter analyzes whether this assumption is really true and the reasons which initially led to it. After demonstrating that

流逝

Research Design and Methodology,sposing genes represent the main determinant of the disease only in a minority of affected women (5–10%). The molecular basis of the genetic predisposition is complex and not completely characterised. The susceptibility genes identified to date are classified as high, moderate or low penetrance, acc

Mendacious

Supplement

Palliation

Recording Services, Cost, and Revenue,, also in high-risk women. In the general population, the application of the BI-RADS allowed for a very good diagnostic performance, although associated with rather low inter-reader agreement. This good performance was seen also for the application of the BI-RADS lexicon in screening high-risk women

小臼

Pilot Control and Early Warning,contrasts. Computerized support systems help the radiologist to navigate through these images by detecting and characterizing parenchymal lesions. This chapter divides computerized systems for breast MRI into three main categories: computer-aided evaluation (CAE) systems that provide improved visual

灰姑娘

Annalisa Sentuti,Francesca M. Cesaroniression profiling has revolutionized breast cancer classifications, and the traditional classifications based on immunohistochemistry have been replaced by molecular subtype profiles. Breast cancer has four distinct molecular subtypes: luminal A; luminal B; human epidermal growth factor receptor 2 (