Juniper Publishers-Cancer Therapy Oncology International Journal

  Cancer Therapy & Oncology- Juniper Publishers                                                    Abstract Medical imaging has always been an essential component of patient management. The pixel/voxel- based machine learning (PML) in medical imaging is gaining momentum as a computer aided diagnostic (CAD) tool if it can achieve better results than radiologists, in terms of detection and bringing down costs. CAD detection of breast cancer in mammograms is one area that has proved to be smarter, but again most radiologists are suspicious of eventual outcome. Machine learning using pixel/voxel values in medical images has shown emergence as a better diagnostic tools than the segmentation or feature based input. Pixel/Voxel based calculations avoid error that is inherent to segmentation based information. Once regulatory information is used as a metadata, new opportunities of machine learning in regulatory compliance would emerge and the regulatory framework would be based on the regu

  Cancer Therapy & Oncology- Juniper Publishers                                               Abstract Adenoid cystic carcinomas (ACC) represent 10% of all salivary tumors. It primarily affects the salivary glands particularly those located in the buccal cavity. Sinonasal location is rarely described [1]. We report a rare case of sinonasal adenoid cystic carcinoma (SACC), we discuss through a brief review of the literature its clinical, radiological, histopathological and therapeutic modalities and the prognostic factors of this tumor. Keywords:  Adenoid Cystic Carcinoma; Paranasal Sinus; Facial Pain Introduction ACC is a rare malignant neoplasm that accounts for 1-2% of all head and neck malignancies and approximately 10% of all salivary gland neoplasms [2]. It occurs predominantly among women, between the fifth and sixth decades of life [3]. Sinonasal Adenocarcinomas mainly arise from the respiratory epithelium or the underlying mucoserous glands (60%). It’s known by its slow per

  Cancer Therapy & Oncology- Juniper Publishers                                                    Abstract Gastric Cancer (GC) is the fourth common cancer worldwide. It has a geographical distribution affecting mainly the developing countries much more than the developed ones. It is an aggressive disease with poor outcome. Little breakthroughs were achieved in the treatment of GC in the last few decades. These were confined to chemotherapy and surgical techniques. The development of gastric cancer is a complex, multistep process, which involves multiple genetic and epigenetic alterations. The previous classifications of GC had limited impact on its management and prognosis. A novel molecular classification will enhance our understanding of the cancer of the stomach and it will individualize our therapy in a targeted manner for more robust results and better prognosis. According to The Cancer Genome Atlas Project (TCGA), GC has been recently divided into 4 categories according to t