Modeling Breast Cancer using data mining methods

Introduction: Breast cancer is the most common form of cancer in women. Breast cancer detection is considered as one of the most important issues in medical science. Diagnosis of benign or malignant type of cancer reduces costs and also is important in deciding about the treatment strategy. The aim of this study was to provide data mining based models that have the predictability of breast cancer detection

Methods: This study was descriptive-analytic. Its database included 683 independent records containing nine clinical variables in the UCI machine learning. Multilayer Perceptron artificial neural network, Bayesian Neural Network and LVQ neural network were used for classification of breast cancer to benign and malignant types. In this study, 80 percent of data were used for network training and 20 percent were used for testing

Results: After pre-processing the data, different neural networks with different architectures were used to detect breast cancer. In the best condition, we could predict benign or malignant cancer in the MLP neural networks, LVQ and Bayesian Neural Networks with an average of ten tests with an accuracy of 97.5 percent and 97.6percent and 98.3 percent respectively. Our investigations showed that Bayesian neural network had a better performance

Conclusion: Breast cancer is one of the most common cancers among women. Early diagnosis of disease reduces healthcare costs and increases patient survival chance. In this study, using data mining techniques in diagnosis, the researchers were able to use Bayesian neural network to achieve high accuracy in diagnosis

Pituitary Glioblastoma: a case report

Introduction: Pituitary adenomas have been the most common sellaturcica tumors. There have been many unusual types of pituitary tumors that might neglect by radiologists and clinicians. One of these tumors would be the malignant glioma

Case Presentation: A 62-year-old male has complained from sudden frontal headache, nausea, vomiting, decreased vision, blurred vision and double vision. In skull radiographic, there was an expansion of sellaturcica and a lesion with clear border on T1; heterogeneous; iso - to hypotense; size about 3/5 × 2/5 cm with no surrounding edema that it has homogeneously attracted contrast Lesion, that shown a signal hypointensity on T2 with heterogeneous enhancement. In the coronal sections, the tumor expanded to the suprasellar region and optic chiasmatic that has compressed especially on the left side. Partial tumor resection has conducted. The surgery has done by a transsphenoidal approach. The pathologist has diagnosed a glioblastoma. This diagnosis has confirmed using immunohistochemistry technique

Conclusions: There have been many unusual types of pituitary tumors that might neglect by radiologists and clinicians. One of these tumors would be the malignant glioma

Primary non-hodgkin lymphoma of the stomach: clinicopathological characteristics and prognostic factors in iranian patients

Primary Gastric Lymphoma [PGL] is an uncommon malignancy with various histological subtypes and treatment outcomes. The aim of this study was to investigate the potential prognostic factors and clinicopathological characteristics of Iranian patients with PGL. The clinicopathological characteristics of 60 patients with PGL were retrospectively reviewed from 2001 to 2012. The patients underwent various combinations of chemotherapy, radiotherapy, and surgery. We evaluated multiple potential prognostic factors and their associations with patient survival rate. According to the results, Diffuse Large B-cell Lymphoma [DLBCL] and Mucosa-Associated Lymphoid Tissue [MALT] were two predominant histological subtypes. The majority of cases were diagnosed with stage I tumor in the distal part of the stomach. The 5-year disease-free survival [DFS] and overall survival [OS] rates were 60% and 70%, respectively. It was revealed that poor World Health Organization [WHO] performance status, presence of B symptoms, and International Prognostic Index [IPI] score >/= 3 were significantly associated with decreased patient survival. Most of the patients with PGL in early stage have a favorable prognosis

Long-term follow-up of recurrent uterine cervical Cancer: a case report

Carcinoma of the uterine cervix is a significant cause of mortality because of malignancy in women. Radiotherapy is a major treatment modality for invasive cervical cancer with good treatment outcome in early-stage patients. However, substantial treatment failures still occur in the advanced-stage patients. In this case report a long term follow up of a 58 years old woman with stage II cervical squamous cell carcinoma [SCC], who was considered inoperable due to her general condition, cardiac poor function and ischemic heart disease [IHD] has been reported. After full dose external radiotherapy the patient became disease free till 6 years and after local recurrence, she was treated successfully with total abdominal hysterectomy [TAH] and bilateralsalpingo-oophorectomy[BSO]as well as adjuvant chemotherapy with favorable results during a long term follow up of 14 years. It is concluded that long term favorable outcome may be achieved by intensive radiotherapy of uterine cervix SCC and probable recurrence could be managed successfully by surgical excision