Background : Breast cancer is the most common cancer of
women. When breast cancer is detected and treated early,
the chances for survival are better. Surgery is the most
important treatment for non-metastatic breast cancer.
Al-Kindy Col Med J 2008 Vol.5(1) 40 Original Article
Objectives : The aim of this study is to review different
clinical presentation and to evaluate types of surgical
procedures and complications in treatment of nonmetastatic breast cancer.
Method : During the period from Jun 1998 to May 2005,
93 patients with non-metastatic breast cancer were
diagnosed and treated surgically in 2 hospitals in Baghdad (
Hammad Shihab military hospital and Al-Kindy teaching
hospital).
Results : Women constituted ( 98.93% ), while men
constituted (1.07%), with male to female ratio of (0.01:1).
The peak incidence of non-metastatic breast cancer (25.8%)
was at age group 51-60 years, while (60.2 % ) of cases
happened in women over 50 years of age. The right breast
was the most common side affected, and the upper outer
quadrant of the breast was the most common location
affected by cancer. Painless lump (91.4%) was the most
common symptom, and the hard lump was the most
common sign (100%).
The highest frequency of cases was diagnosed in stage II
followed by stage III, and invasive ductal cancer was the
most common histopathologic type.
(87.1 %) of patients underwent modified radical
mastectomy, while (12.9%) underwent breast-conservation
surgery. Breast-conservation surgery carried higher
incidence of recurrent disease than modified radical
mastectomy (33.3% vs.13.6%).
Conclusion : The majority of patients with non-metastatic
breast cancer were over 50 years of age, and the
preponderance were diagnosed in stage II. Modified radical
mastectomy may be preferable method for treatment as it
carries a lower rate of local or distant recurrence than
conventional breast-conservation surgery procedures
Wireless sensor networks (WSNs) represent one of the key technologies in internet of things (IoTs) networks. Since WSNs have finite energy sources, there is ongoing research work to develop new strategies for minimizing power consumption or enhancing traditional techniques. In this paper, a novel Gaussian mixture models (GMMs) algorithm is proposed for mobile wireless sensor networks (MWSNs) for energy saving. Performance evaluation of the clustering process with the GMM algorithm shows a remarkable energy saving in the network of up to 92%. In addition, a comparison with another clustering strategy that uses the K-means algorithm has been made, and the developed method has outperformed K-means with superior performance, saving ener
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The research derives its importance from the fact that it is related to the developments in the concepts and areas of marketing in various fields, and it has a role in identifying the gain of new markets, where it is specialized to provide a political product and identify the mechanism of marketing the p
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