Background: Langerhans cell histiocytosis (LCH) is a rare proliferative disorder of histiocytes encompasses a wide clinical spectrum, ranging from a benign localized disease to acute
generalized disease with fatal outcome.
Objectives: to retrospectively evaluate clinical characteristics at diagnosis and outcome of patients with Langerhans cell histiocytosis.
Patients and methods: A retrospective analysis of data on 21 children with Langerhans cell histiocytosis followed at Oncology unit, Children Welfare Teaching Hospital, Medical City,
Baghdad, between 1999 and 2006.
Results : The age at time of diagnosis of LCH ranged from 3 months to 9 years, with a median of 22 months, and male to female ratio was 1:1.1. The duration of the onset of the disease before diagnosis ranged from 1month to1 year. Bone lesions, skin lesions and LAP were the common presenting features. Skull was the major site of lytic lesions 10(47.6%) patients. Tissue biopsy and/or aspiration were the main diagnostic procedures. Twenty patients treated by different combinations of chemotherapy. Ten patients survived (50%), and the mean time of follow up was 28 months.
Conclusion : The study showed a relatively high incidence of advanced (III and IV) stages of disease 12 patients (57.1 %) with subsequent poor outcome and survival.
Recommendation : Long term follow-up by a multidisciplinary care team is required
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... Show MoreFuture wireless networks will require advance physical-layer techniques to meet the requirements of Internet of Everything (IoE) applications and massive communication systems. To this end, a massive MIMO (m-MIMO) system is to date considered one of the key technologies for future wireless networks. This is due to the capability of m-MIMO to bring a significant improvement in the spectral efficiency and energy efficiency. However, designing an efficient downlink (DL) training sequence for fast channel state information (CSI) estimation, i.e., with limited coherence time, in a frequency division duplex (FDD) m-MIMO system when users exhibit different correlation patterns, i.e., span distinct channel covariance matrices, is to date ve
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... Show MoreThis study is planned with the aim of constructing models that can be used to forecast trip production in the Al-Karada region in Baghdad city incorporating the socioeconomic features, through the use of various statistical approaches to the modeling of trip generation, such as artificial neural network (ANN) and multiple linear regression (MLR). The research region was split into 11 zones to accomplish the study aim. Forms were issued based on the needed sample size of 1,170. Only 1,050 forms with responses were received, giving a response rate of 89.74% for the research region. The collected data were processed using the ANN technique in MATLAB v20. The same database was utilized to