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Neuroblastoma in saudi Children: A single Center Experience (2006-2014)

Journal of Cancer Therapy 2015年第10期6卷 896-905页

作者： Zaid Al Naqib Atif A. Ahmed Musa Al Harbi Fahad Al Manjomi Zaheer Ullah Khan Awatif alanazi Othman Mosleh Walid Ballourah Mohammed Rayis Pediatric Hematology/Oncology Division King Fahad Medical City Riyadh Saudi Arabia Department of Pathology and Laboratory Medicine Children’s Mercy Hospital Kansas City USA

Introduction: Neuroblastoma is the most common extracranial solid tumor in childhood and survival rate has improved during the last few decades. Only a few studies, related to Neuroblastoma in saudi Arabian children, have been performed. We report epidemiologic data and our clinical experience from the department of Pediatric Hematology Oncology (PHO), King Fahad Medical City (KFMC), Riyadh, saudi Arabia. Method: A retrospective observational study of all patients, with diagnosis of Neuroblastoma, who attended PHO-KFMC from July 2006 to June 2014 was performed. The survival periods (overall survival and disease-free survival) and the final outcomes for patients treated and followed at KFMC were recorded. The survival data were statistically correlated with the clinical, pathological and biological features of patients and tumors and compared to national and international cohorts. Results: Eight-year data were available for the 42 patients of which 22 (52.4%) were male and 20 (47.6%) were females. Age at diagnosis ranged 0 - 91 months with a mean and median of 26.3 and 18.5 months respectively. 16 (38.1%) patients were under one year and 26 (61.9%) above 1 year of age. The event-free survival (EFs) and overall survival (Os) rates were 66.5% and 71.5% respectively. EFs and Os among those who were sentation was 75% and 82%, whereas ≥1 yr age group had 59% and 62% survival rates respectively. Patients with tumors in the adrenal had considerably lower EFs (59%) and Os (63%);in comparison to patients with tumors sites other than the adrenal who had EFs and Os of 85% and 89% respectively. Both EFs and Os survival rates at the end of follow-up interval were 100.0%, in the low and intermediate risk groups. In contrast, patients in the high risk group had EFs and Os rates of 44% and 48% respectively. This difference was statistically significant (p sion: Our results are very encouraging and comparable with known published international cohorts

关键词： Children Neuroblastoma saudi Arabia survival

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Pediatric Non-Hodgkin Lymphoma: A Retrospective 7-Year Experience in Children &Adolescents with Non-Hodgkin Lymphoma Treated in King Fahad Medical City (KFMC)

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Journal of Cancer Therapy 2015年第4期6卷 299-314页

作者： Nahla Ali Mobark suha A. Tashkandi Wafa Al shakweer Khalid Al saidi suha A. Fataftah Mohammed M. Al Nemer Awatif alanazi Mohammed Rayis Walid Ballourah Othman Mosleh Zaheer Ullah Fahad El Manjomi Musa Al Harbi Department of Pediatric Hematology and Oncology Comprehensive Cancer Centre KFMC Riyadh Saudi Arabia Department of Cytogenetic and Molecular Cytogenetic Laboratory KFMC Riyadh Saudi Arabia Department of Anatomical Pathology KFMC Riyadh Saudi Arabia

Background: Non-Hodgkin’s lymphoma is an aggressive malignant disease in children and adolescents. Although it is the fourth most common malignancy in saudi children as reported in saudi cancer registry, less information is available about pediatric Non-Hodgkin lymphoma and its outcome in saudi Arabia. study Objectives: To provide demographic data, disease characteristics, treatment protocol, toxicity and outcome of treatment in children & adolescents with Non-Hodgkin’s lymphoma treated at KFMC. This study will form base line for future studies about pediatric Non-Hodgkin’s lymphoma in KFMC, which may help to improve outcome for children with cancer in saudi Arabia. study Patients and Method: We retrospectively analyzed 28 children and adolescents diagnosed to have Non-Hodgkin’s lymphoma at KFMC between December 2006 and December 2013, followed-up through June 2014. Results: Of the 28 patients, 10 (35.7%) girls and 18 (64.3%) boys, the male-to-female ratio was 1.8;1. The median age at time of diagnosis was 6.4 years old (range 2.0 to 13.0 years old). The majority of patients (64.3%) were aged between 5 and 12 years old. Burkitt’s lymphoma BL/BLL was the most common pathological subtype (60.7%), and DLBCL was the second most common subtype (21.4%). Abdominal and Retroperitoneal involvement was the most common primary site (78.6%) including the ileocaecal region. Most of the children presented with advanced stage III and IV (75%), Cytogenetic study which screens specifically for the t (8;14) (q24;q32) a characteristic genetic feature of Burkitt’s Lymphoma was obtained from 21 patients, variant rearrangement was observed in 3/21 samples and complex chromosomes karyotype in addition to IGH/MYC rearrangement was observed in 2/21 samples. Those patients presented with very aggressive lymphoma and combined BM and CNs involvement. We use the French-American-British Mature B-Cell Lymphoma 96 Protocol (FAB LMB 96) for treatment fornewly diagnosed Mature B-Cell type NHL and hi

关键词： Non-Hodgkin Lymphoma Disease Patients Children and Adolescents

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Towards sustainable Agricultural systems:A Lightweight Deep Learning Model for Plant Disease Detection

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Computer systems science & Engineering 2023年第10期47卷 515-536页

作者： sana Parez Naqqash Dilshad Turki M.alanazi Jong Weon Lee Department of software Sejong UniversitySeoul05006Korea Department of Convergence Engineering for Intelligent Drone Sejong UniversitySeoul05006Korea Department of Electrical Engineering College of EngineeringJouf UniversitySakakaSaudi Arabia

A country’s economy heavily depends on agricultural ***,due to several plant diseases,crop growth rate and quality are highly *** identification of these diseases via a manual procedure is very challenging and time-consuming because of the deficiency of domain experts and low-contrast ***,the agricultural management system is searching for an automatic early disease detection *** this end,an efficient and lightweight Deep Learning(DL)-based framework(E-GreenNet)is proposed to overcome these problems and precisely classify the various *** the end-to-end architecture,a MobileNetV3smallmodel is utilized as a backbone that generates refined,discriminative,and prominent ***,the proposed model is trained over the PlantVillage(PV),Data Repository of Leaf Images(DRLI),and a new Plant Composite(PC)dataset individually,and later on test samples,its actual performance is *** extensive experimental analysis,the proposed model obtained 1.00%,0.96%and 0.99%accuracies on all three included ***,the proposed method achieves better inference speed when compared with other state-Of-The-Art(sOTA)*** addition,a comparative analysis is conducted where the proposed strategy shows tremendous discriminative scores as compared to the various pretrained models and other Machine Learning(ML)and DL methods.

关键词： Computer vision deep learning embedded vision agriculture monitoring classification plant disease detection Internet of Things(IoT)

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