Search

Background Ectopic thymomas often occur in the upper mediastinum; however, they rarely arise in the middle mediastinum, especially on the dorsal side of the innominate vein and superior vena cava in the peribronchial region. Case presentation Six years prior, a 27-year-old female presented to our department and was diagnosed with locally advanced left breast cancer. First, we administered chemotherapy including an anti-human epidermal growth factor receptor 2 antibody. The size of the tumor was markedly reduced, and a radical operation involving mastectomy and axillary lymph node dissection was then performed. The patient underwent radiotherapy after the mastectomy, followed by trastuzumab therapy; she continued to receive endocrine therapy thereafter. She underwent computed tomography once a year after the surgery, and a nodule in the middle mediastinum on the dorsal side of the innominate vein and superior vena cava in the parabronchial region was detected at 4 years. We speculated that the nodule was a solitary mediastinal lymph node metastasis from her breast cancer; therefore, we performed thoracoscopic resection of the tumor. We diagnosed the tumor as a thymoma. Currently, the patient visits our hospital to receive continuous hormone therapy for her breast cancer, and the latest computed tomography scan demonstrated no metastases from or recurrence of her breast cancer or thymoma. Conclusions We report a case of ectopic thymoma in the middle mediastinum. The tumor, which was detected during systemic therapy for locally advanced breast cancer, was located on the dorsal side of the innominate vein and superior vena cava in the parabronchial region and was indistinguishable from a lymph node metastasis from breast cancer.

Context-aware computing that recognizes the context in which a user performs a task is one of the most important techniques for supporting user activity in ubiquitous computing. To realize context-aware computing, a computer needs to recognize the user's location. This paper describes a technique for location detection inside a room using radio waves from a user's computer. The proposed technique has to be sufficiently robust to cater for dynamic environments and should require only ordinary network devices, such as radio signal emitters, without the need for special equipment. We propose performing localization by relative values of RSSI (Received Signal Strength Indicator) among wireless nodes, and also our system support the node mobility. We evaluate the performance of our system in the environment where the node is movable.