A Case Report of Breast Cancer with Extensive Pulmonary Lymphovascular Tumor Emboli

We describe a patient with breast cancer who relapsed with an extensive pulmonary lymphovascular tumor embolism. A 38-year-old female, who previously received neoadjuvant chemotherapy and curative resection of breast cancer, underwent adjuvant chemotherapy and was referred to the emergency room because of sudden-onset pleuritic chest pain lasting for 10 days. Despite a trial of empirical antibiotics, the chest pain and the extent of consolidative lung lesion on chest radiographs rapidly aggravated. We performed an open lung biopsy to confirm the etiology. The histopathological review revealed a hemorrhagic infarction caused by lymphovascular tumor emboli from a metastatic breast carcinoma. Palliative first-line chemotherapy was administered, consisting of ixabepilone and capecitabine, and the lung lesion improved markedly

Approach to the Immunosuppressed Patient with Pulmonary Infiltrates

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/65614/1/j.1365-4362.1980.tb00811.x.pd

Prediction of second neurological attack in patients with clinically isolated syndrome using support vector machines

The aim of this study is to predict the conversion from clinically isolated syndrome to clinically definite multiple sclerosis using support vector machines. The two groups of converters and non-converters are classified using features that were calculated from baseline data of 73 patients. The data consists of standard magnetic resonance images, binary lesion masks, and clinical and demographic information. 15 features were calculated and all combinations of them were iteratively tested for their predictive capacity using polynomial kernels and radial basis functions with leave-one-out cross-validation. The accuracy of this prediction is up to 86.4% with a sensitivity and specificity in the same range indicating that this is a feasible approach for the prediction of a second clinical attack in patients with clinically isolated syndromes, and that the chosen features are appropriate. The two features gender and location of onset lesions have been used in all feature combinations leading to a high accuracy suggesting that they are highly predictive. However, it is necessary to add supporting features to maximise the accuracy. © 2013 IEEE

Carol Loomis : a wheel at fortune

"That adage about business being a man's world is crumbling under the weight of words by a handful of women financial writers."--Page 3