Burden of Cancer in the Arab World

Siddiqui, Ammar Ahmed; Amin, Junaid; Alshammary, Freah; Afroze, Eman; Shaikh, Sameer; Rathore, Hassaan Anwer; Khan, Rabia

doi:10.1007/978-3-030-36811-1_182

Cited by 8 publications

(7 citation statements)

References 34 publications

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“…Sometimes they are called logical images: black corresponds to the value 0 and white corresponds to the value 1 [14]. McCulloch and Pitts (1943) [15], a neuron can be represented through binary logic (0 or 1). Artificial neural networks emerged from the search to solve problems analogous to the brain (see Figure 3).…”

Section: Thresholdingmentioning

confidence: 99%

Automatic Segmentation of Calcification Areas in Digital Breast Images

Abdulrazzaq

Muhammed²,

Al-Douri³

et al. 2022

BioMed Research International

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In this study, the authors hope to demonstrate that when mammography is combined with intelligent segmentation techniques, it can become more effective in diagnosing breast abnormalities and aiding in the early detection of breast cancer. In conjunction with intelligent segmentation techniques, mammography can be made more effective in diagnosing breast abnormalities and aiding in the early diagnosis of breast cancer, hence increasing its overall effectiveness. The methodology, which includes some concepts of digital imaging and machine learning techniques, will be described in the following section after a review of the literature on breast cancer (categories, prevention involving the environment and lifestyle, diagnosis, and tracking of the disease) has been completed (neural networks and random forests). It was possible to achieve these results by working with an image collection that previously had questionable regions (per the given technique). Fiji software extracted problematic candidate regions from mammography images, which were subsequently subjected to further examination. To categorize the results of the picture segmentation, they were sorted into three groups, which were as follows: random forest and neural networks both generated promising results in the segmentation of suspicious parts that were emphasized in the highlight of the image, and this was true for both algorithms. Detection of contours of the regions was carried out, indicating that cuts of these segmented sections may be created. Later on, automatic categorization of the targets can be carried out using a learning algorithm, as illustrated in the experiment.

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Section: Thresholdingmentioning

confidence: 99%

Automatic Segmentation of Calcification Areas in Digital Breast Images

Abdulrazzaq

Muhammed²,

Al-Douri³

et al. 2022

BioMed Research International

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“…The majority of EO‐CRC cases are believed to be sporadic, with various factors contributing to the development of sporadic colorectal cancer 40 . Among the modifiable risk factors, physical inactivity, sedentary behavior, excessive caloric intake, and smoking have been identified as significant contributors 41,42 . These factors collectively lead to an energy imbalance, resulting in obesity, which is a significant risk factor for EO‐CRC, particularly in females 43 .…”

Section: Discussionmentioning

confidence: 99%

“…40 Among the modifiable risk factors, physical inactivity, sedentary behavior, excessive caloric intake, and smoking have been identified as significant contributors. 41,42 These factors collectively lead to an energy imbalance, resulting in obesity, which is a significant risk factor for EO-CRC, particularly in females. 43 Therefore, the steady increase in EO-CRC incidence in Gulf States countries may be attributed to the widespread adoption of inactive lifestyles and unhealthy eating habits.…”

Section: Discussionmentioning

confidence: 99%

Mortality‐to‐incidence ratio of early‐onset colorectal cancer in high‐income Asian and Middle Eastern countries: A systemic analysis of the Global Burden of Diseases Study 2019

Ramadan,

Alsiary,

Aboalola

2023

Cancer Medicine

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BackgroundThe incidence of early‐onset colorectal cancer (EO‐CRC) has been consistently rising leading to a significant cancer burden among younger adults in Asian and Middle Eastern high‐income countries. The study aims to investigate the survival outcomes of EO‐CRC among high‐income Asian and Middle Eastern populations from 1990 to 2019 using the mortality‐to‐incidence ratio, with a focus on examining the differences in gender.MethodsThis is a systematic analysis of the Global Burden of Disease (GBD) 2019 study. We include individuals aged 15 to 49 years old in high‐income Asian and the Middle Eastern countries. The colorectal cancer mortality‐to‐incidence ratio (MIR) was calculated for both genders by dividing the age‐specific mortality rate per 100,000 for colorectal cancer by the age‐specific incidence rate per 100,000 for each nation in the sample for a given year.ResultsAn overall decline in male and female MIR was observed from 1990 to 2019 in Asian and Middle Eastern countries. Ten out of thirteen Asian and Middle Eastern countries had a higher female MIR compared to their male counterparts. The global male MIR was found to be significantly higher than that of female (p‐value 0.008, coefficient estimate: 1.51). In Middle Eastern countries, Saudi Arabia had a significantly higher female MIR compared to their male counterparts (p < 0.0001, coefficient estimate: 12.65).ConclusionThis research addresses the knowledge gap concerning gender‐based differences in EO‐CRC survival outcomes in high‐income Asian and Middle Eastern countries, providing insights into the factors influencing these disparities in these regions. Policymakers should focus on developing targeted prevention and treatment programs for women, and addressing cultural and social barriers that may prevent women from seeking timely medical care.

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“…21 Cancer treatment and care match the global trend, and cancer research is increasing in the Arab world. 22,23 The therapy strategy for cancer depends on the organ affected, the rate of spread, and the patient's health state. 24 Cancer drug therapy is divided into classes according to its action mechanism as follows: (I) alkylating agents include temozolomide, cisplatin, and melphalan.…”

Section: Introductionmentioning

confidence: 99%

“…21 Cancer treatment and care match the global trend, and cancer research is increasing in the Arab world. 22,23…”

Section: Introductionmentioning

confidence: 99%