The prediction of lymph node involvement represents an important task which could reduce
unnecessary surgery and improve the definition of oncological therapies. An artificial …

Background: In response to Choosing Wisely recommendations that sentinel lymph node
biopsy (slnb) should not be routinely performed in elderly patients with node-negative (cN0) …

Background Axillary lymph node (ALN) status is an important factor affecting the surgery
planning. We developed a new prediction model based on spectral CT to evaluate the …

The status of axillary lymph nodes is important for the staging, treatment, and prognosis of
breast cancer. The arrival of the era of precision medicine highlights the importance of …

Background: Preoperative assessment of axillary lymph node (ALN) metastasis mainly relies
on imaging or pathological parameters as preliminary evaluation modality. Patients with …

Objective To assess the clinical values of 3 non-sentinel lymph node (SLN) metastasis
prediction models, including MSKCC, Louisville and SCH, in Chinese population, and to …

Background: Accurately assessing the efficacy of neoadjuvant therapy (NAT) for breast
cancer may predict patient outcomes. Axillary pathological complete response (apCR) after …

Populärvetenskaplig sammanfattning 1, 7 miljoner nya fall av bröstcancer diagnosticeras
årligen i världen. Bröstcancer är kvinnans vanligaste tumörsjukdom och i västvärlden samt …

For patients with breast cancer, an alter native to unreliable imaging methods and un
necessary debilitating invasive procedures is required that might predict the status of axillary …

Breast cancer is a global health problem and the leading cause of cancer-related death in
women. The aim of this thesis is to explore new techniques that may support the refinement …