Preoperative Axillary Ultrasound in the Selection of Patients With a Heavy Axillary Tumor Burden in Early-Stage Breast Cancer: What Leads to False-Positive Results?

Objectives: To determine whether imaging and clinicopathologic features could predict false-positive axillary ultrasound (US) results in the selection of patients with breast cancer who had a heavy axillary tumor burden (≥3 tumor-involved nodes).

Methods: Among 788 patients with histologically confirmed invasive breast cancer at Ruijin Hospital from October 2014 to September 2015, 162 patients (cT1-T2, cN0) with 167 axillae had suspicious axillary US findings. Ultrasound findings were considered suspicious for metastasis if cortical thickening of greater than 3 mm or effacement of the fatty hilum was present.

Axillary Staging of Early-Stage Invasive Breast Cancer by Ultrasound-Guided Fine-Needle Aspiration Cytology: Which Ultrasound Criteria for Classifying Abnormal Lymph Nodes Should Be Adopted in the Post-ACOSOG Z0011 Trial Era?

Objectives: Ultrasound (US)-guided fine-needle aspiration cytology (FNAC) is able to identify patients with extensive node involvement before surgery. In this study, we aimed to establish the optimal US criterion to identify abnormal lymph nodes on US-guided FNAC for detection of patients with 3 or more metastatic axillary nodes.

Methods: A total of 445 axillae from 443 patients with histologically confirmed invasive breast cancer (cT1-2 cN0) were examined with US at Ruijin Hospital from August 2013 to August 2014.

Economic impact of dementia in developing countries: an evaluation of Alzheimer-type dementia in Shanghai, China.

The main objective of this study was to assess the economic cost of Alzheimer's disease (AD) in Shanghai, China, as a pilot study for future evaluations. Sixty-seven patients with AD were interviewed, and the information of the AD-related cost and resources used was collected from October 2005 to September 2006. By retrospective analysis, annual costs were calculated and expressed in Chinese renminbi (RMB).