Fwd: House Panel Rejects Last of Va. Anti-smoking Bills

---------- Forwarded message ----------
From: Search for lung cancer <rssfwd@rssfwd.com>
Date: Thu, Feb 14, 2008 at 11:07 PM
Subject: House Panel Rejects Last of Va. Anti-smoking Bills
To: mesothelioma77@gmail.com

A last-gasp effort to ban smoking in restaurants and most other public places died Thursday in a House of Delegates subcommittee.

Fri, 15 Feb 2008 03:32:14 GMT

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Source: http://www.wjla.com/news/stories/0208/496199.html
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in another issue about cancer.... in particular about mesothelioma....

 

 

 The 2 surgical procedures used are pleurectomy with decortication and extrapleural pneumonectomy.

Surgical resection has been relied upon because radiation and chemotherapy get hold of been ineffective unequivocal treatments. There are now a number of cancer treatment options open to mesothelioma patients. Extrapleural pneumonectomy for selected victims with very early stage disease may expand recurrence-free survival, but the impact it has on overall survival is unknown at this time.

Mesothelioma diagnosis can be intimidating and can scare a lot of people, but mesothelioma diagnosis may give you a fighting chance if can be diagnose early. So do yourself a favor if you think that what you are suffering from and had worked in an asbestos related workplace.

The purpose of such investigations in mesothelioma diagnosis is to confirm and to determine the type of mesothelioma, to 'stage' the disease (measure how severe it is), and so to assess whether the disease is operable.

 

www.lingwellness.com

 

Fwd: A Novel Breast Tissue Density Classification Methodology.

---------- Forwarded message ----------
From: HubMed - breast cancer <rssfwd@rssfwd.com>
Date: Thu, Feb 14, 2008 at 11:07 PM
Subject: A Novel Breast Tissue Density Classification Methodology.
To: mesothelioma77@gmail.com


[1]IEEE Trans Inf Technol Biomed. 2008; 12(1): 55-65
Oliver A, Freixenet J, Mart R, Pont J, Perez E, Denton EE, Zwiggelaar R

It has been shown that the accuracy of mammographic abnormality detection methods is strongly dependent on the breast tissue characteristics, where a dense breast drastically reduces detection sensitivity. In addition, breast tissue density is widely accepted to be an important risk indicator for the development of breast cancer. Here, we describe the development of an automatic breast tissue classification methodology, which can be summarized in a number of distinct steps: 1) the segmentation of the breast area into fatty versus dense mammographic tissue; 2) the extraction of morphological and texture features from the segmented breast areas; and 3) the use of a Bayesian combination of a number of classifiers. The evaluation, based on a large kappa = 0.81 and 0.67 for the two data sets) between automatic and expert-based Breast Imaging Reporting and Data System mammographic density assessment.



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Source: http://www.hubmed.org/display.cgi?uids=18270037
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