Ultrasound staging in breast cancer: A decision-making oriented approach to axillary metastatic burden prediction.

Purpose: The possibility of avoiding axillary lymphadenectomy (AL) in patients with breast cancer (BC) after positive sentinel lymph node biopsy (SLNB) and low metastatic burden (< ó = 2 positive lymph nodes) has put into question the role of axillary ultrasound due to the risk of overtreatment after positive axillary lymph node biopsy with low metastatic burden. Our aim was to identify clinical and ultrasound features to detect low and high metastatic burden.

Methods: A retrospective study of 405 BC patients with primary surgical treatment with axillary ultrasound examination and subsequent AL after positive fine needle aspiration (FNA) or SLNB.

A virtual pebble game to ensemble average graph rigidity.

Background: The body-bar Pebble Game (PG) algorithm is commonly used to calculate network rigidity properties in proteins and polymeric materials. To account for fluctuating interactions such as hydrogen bonds, an ensemble of constraint topologies are sampled, and average network properties are obtained by averaging PG characterizations. At a simpler level of sophistication, Maxwell constraint counting (MCC) provides a rigorous lower bound for the number of internal degrees of freedom (DOF) within a body-bar network, and it is commonly employed to test if a molecular structure is globally under-constrained or over-constrained.

Calculating ensemble averaged descriptions of protein rigidity without sampling.

Previous works have demonstrated that protein rigidity is related to thermodynamic stability, especially under conditions that favor formation of native structure. Mechanical network rigidity properties of a single conformation are efficiently calculated using the integer body-bar Pebble Game (PG) algorithm. However, thermodynamic properties require averaging over many samples from the ensemble of accessible conformations to accurately account for fluctuations in network topology.

Molecular diversity of a North Carolina wastewater treatment plant as revealed by pyrosequencing.

We report the results of pyrosequencing of DNA collected from the activated sludge basin of a wastewater treatment plant in Charlotte, NC. Using the 454-FLX technology, we generated 378,601 sequences with an average read length of 250.4 bp.