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Anaram Yaghoobi Notash , Peiman Bayat, Shahpar Haghighat, Ali Yaghoobi Notash ,
Volume 79, Issue 11 (2-2022)
Abstract

Background: Breast cancer is the second leading cause of cancer death in women, after lung cancer. Due to the importance of predicting this disease, the use of data mining methods in medical research is more significant than before. Data mining algorithms can be a great help in preventing the development of lymphedema in patients. The aim Of this study was to create a diagnosis system that can predict the probability of lymphedema in breast cancer patients.
Methods: In the present study, the factors of lymphedema in 1117 patients with breast cancer have been collected. The likelihood of developing lymphedema is predicted using ensemble learning via 5 heterogeneous classification algorithms, feature selection and the genetic algorithm (The Two-layer Ensemble Feature Selection method). After collecting the data of patients with breast cancer from 2009 to 2018, and data preprocessing using the optimized ensemble learning algorithm and feature selection, we will examine the likelihood of developing lymphedema for the new patient. Finally, the factors affecting the disease have been extracted. Excluding the time of collecting statistical data, the period of the study was from September 2019 to February 2021. This study is performed at Seyed Khandan Rehabilitation Center, Tehran, Iran.
Results: The results of algorithms showed that the accuracy of the ensemble learning method with selected classification algorithms (SVM with RBF kernel) is 87% and the accuracy of the ensemble learning with feature selection method is 90%. According to the final evaluation of the proposed method, the most effective risk factors for lymphedema have been extracted.
Conclusion: Unfortunately, treatment and diagnosis are not without complications, and one of the most important of these complications in breast cancer is lymphedema in the upper extremities, which can affect the quality of life in patients. It is essential to have a method that can accurately suggest to a specialist whether a new patient will develop lymphedema in the future or how likely it is to develop it, using patient’s own clinical and demographic characteristics.
 

Seyed Hamid Zoljalali Moghaddam, Reza Laripour, Ebrahim Hazrati, Hamed Bagheri, Nazila Eyvazzadeh, Hamid Reza Baghani, Emad Parvaneh Aval ,
Volume 79, Issue 12 (3-2022)
Abstract

Prostate cancer is the most common and second leading cause of death among men in the world. Nowadays, radiotherapy has been known as one of the most affecting methods for prostate cancer treatment. Nevertheless, radiotherapy is accompanied by the concern of developing secondary cancers by the scattered radiation to the neighbor  organs at risk. Several studies have shown that secondary cancers after the radiotherapy of prostate cancer treatment, occur in tissues such as the bladder and rectum which have been exposed to direct or indirect radiations. Therefore, this review study aimed to evaluate the influencing factors for developing secondary cancers after the radiotherapy of prostate cancer. To access the previously validated published studies, Persian and English keywords such as prostate cancer, secondary cancers, radiotherapy and organs at risk have been searched in ISID, Google Scholar, Science Direct, PubMed, and World Health Organization, between 1997 and 2021. Totally 246 pieces of literature have been selected which finally, by ignoring the similar and overlapping studies, only 40 studies were reviewed. In the present study, the most affecting factors for developing secondary malignancies including the anatomical status changes, dose variations, smoking and the impact of the various treatment techniques, have been studied. The results of the reviewed studies showed a reduction of secondary cancer risks with performing the modern modalities such as proton therapy to treat prostate cancer. Moreover, organ movements and anatomical status changes which vary from one patient to others, have been reported to make a significant difference in the relative risk of secondary cancers. It has been shown that smoking may increase the risk of secondary cancers after the radiotherapy of prostate cancer, so radiotherapy and smoking may cause genetic mutations. Despite the advantages of radiotherapy for prostate cancer treatment, developing secondary cancers after the radiotherapy should not be ignored. Assessments of the affecting factors for secondary cancers after the radiotherapy of prostate cancer require social and comprehensive studies which can result in an accurate modality with fewer side effects.


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