Operative treatment of Smith-Goyrand fractures

Optimal treatment of Smith's fracture remains controversial. Conservative management of type III fractures is acceptable, but results are moderate for types I and II.

This study includes 53 patients operated on during the past 10 years; six of type I, 17 of type II and 30 of type III.

The functional end result was good in 32 cases (60.3 per cent) and excellent in nine cases (16.9 per cent).

Functional results of types I, II and III were comparable when the excellent and good groups were added together.

There was no correlation between anatomical result and functional outcome (κ = 0.07), although a good anatomical result usually accompanied a good to excellent functional end result. Operative treatment of Smith's fractures have good functional end results in our hands, regardless of the fracture type.     

Definition of An Optimal First-line Chemotherapy in Metastatic Breast Cancer

Single-agent chemotherapy of metastatic breast cancer is the treatment of choice in patients with slow tumor progression and asymptomatic disease. In this patient group, the choice of drugs is based more on good tolerability than on efficacy. By contrast, symptomatic or rapidly progressing disease requires the use of highly active regimens where more weight is put on reliable antitumor activity. While anthraycline-based combination regimens have set the standard of effective treatment, the addition of docetaxel (and to a lesser extent paclitaxel) has improved tumor response, but failed to induce a consistent prolongation of survival. Based on retrospective analyses, it is hypothesised that the combined use of anthracyclines and taxanes in first-line therapy may be most beneficial in defined subgroups: after adjuvant chemotherapy, in patients with HER-2 gene amplification, possibly also in patients with rapidly progressing visceral disease.     

Framework for interactive million-neuron simulation.

SUMMARY: Large simulations have become increasingly complex in many fields, tending to incorporate scale-dependent modeling and algorithms and wide-ranging physical influences. This scale of simulation sophistication has not yet been matched in neuroscience. The authors describe a framework aimed at enabling natural interaction with complex simulations: their configuration, initial conditions, monitoring, and analysis. The architecture is built on three cornerstone components: active probes, adaptive data capture, and visual interface. The resulting synthesis will enable interactive exploration of live simulations running on supercomputing platforms.