Executive Summary : | Breast cancer is the frequently identified cancer of urban Indian women and the second commonest in the rural women. This is a fatal disease which has become a common form of cancer in Indian women since 2012. A 2018 report of Breast Cancer statistics recorded 1,62,468 new registered cases and 87,090 reported deaths. Around 50% women of India are suffering from stage 3 and stage 4 breast cancer. The survival becomes difficult when patients is tested with cancer in higher stages. Hence, the early diagnosis of disease is the only solution to fight against the disease and to increase the life span of patients. In current situation, breast cancer is detected with X-ray mammography, Computed tomography (CT) scan, Ultrasound, and Magnetic Resonance Imaging (MRI). In X-ray mammography, ionizing radiation is used, CT-scan and ultrasound are less sensitive and less accurate while MRI technique is accurate but on the other side it is costly. In general, Mammography is performed 1-2 time per year in the US for the aged and high-risk women [1]. In such circumstances, mostly patients are found in advance stages. The microwave imaging of breast tissues has been identified as a promising technology for improving breast cancer screening (detection) and diagnosis. This technique uses non-ionizing radiations, also it cost effective and comfortable to use. Here, we investigated a view of the present scenario of the problems in and aims to design a low-cost ‘Breast Cancer Detecting System Based on Microwave Antenna-Array sensors'. The development of high-performance antenna-array based system will be helpful to diagnose the breast cancer at early stage. Therefore, a of low-cost home-use early-stage breast cancer detection system need to be developed, which can be integrated into a Bra-like prototypes (Smart-Bra). Investigators will integrate the proposed prototype i.e. Smart-Bra with cancer detecting circuitry and the devices incorporate in screening using Internet of Medical Things (IoMT). This idea will improve patient comfort, safety, usability, and greater precision. It can improve risk factor identification, cancer diagnoses, treatment, remote monitoring and empower people to self-manage. The investigator then proposes to evaluate the performance of device in real-time. Moreover, the idea has significant potential to improve outcomes, lower costs, increase access to care, and improve the patient experience. |