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Wu Wen-Pei,Lai Hung-Wen,Liao Chiung-Ying,Lin Joseph,Huang Hsin-I,Chen Shou-Tung,Chou Chen-Te,Chen Dar-Ren 대한영상의학회 2023 Korean Journal of Radiology Vol.24 No.7
Objective: Prospective studies on postoperative residual breast tissue (RBT) after robotic-assisted nipple-sparing mastectomy (R-NSM) for breast cancer are limited. RBT presents an unknown risk of local recurrence or the development of new cancer after curative or risk-reducing mastectomies. This study investigated the technical feasibility of using magnetic resonance imaging (MRI) to evaluate RBT after R-NSM in women with breast cancer. Materials and Methods: In this prospective pilot study, 105 patients, who underwent R-NSM for breast cancer at Changhua Christian Hospital between March 2017 and May 2022, were subjected to postoperative breast MRI to evaluate the presence and location of RBT. The postoperative MRI scans of 43 patients (age, 47.8 ± 8.5 years), with existing preoperative MRI scans, were evaluated for the presence and location of RBT. In total, 54 R-NSM procedures were performed. In parallel, we reviewed the literature on RBT after nipple-sparing mastectomy, considering its prevalence. Results: RBT was detected in 7 (13.0%) of the 54 mastectomies (6 of the 48 therapeutic mastectomies and 1 of the 6 prophylactic mastectomies). The most common location for RBT was behind the nipple-areolar complex (5 of 7 [71.4%]). Another RBT was found in the upper inner quadrant (2 of 7 [28.6%]). Among the six patients who underwent RBT after therapeutic mastectomies, one patient developed a local recurrence of the skin flap. The other five patients with RBT after therapeutic mastectomies remained disease-free. Conclusion: R-NSM, a surgical innovation, does not seem to increase the prevalence of RBT, and breast MRI showed feasibility as a noninvasive imaging tool for evaluating the presence and location of RBT.
IBM Zigbee Positioning Method for Smart Home Applications
Ming-Hui Jin,Chung-Jung Fu,Chih-Hao Yu,Hung-Ren Lai,Ming-Whei Feng 보안공학연구지원센터 2008 International Journal of Smart Home Vol.2 No.2
This paper presents a smart home system prototype which employs an indoor positioning system called the III Beacon Match (I3BM) positioning method to intelligently trigger the appropriately services for the home members. To overcome the ninja problem in the I3BM method, the signal filtering, adjustment and smooth procedures are proposed. The proposed system prototype employs the Zigbee module to implement the prototypes of the components for the I3BM positioning method, and the prototypes had passed the ZigBee Compliant Platform (ZCP) certification test. The proposed system prototype which intelligently controls the air condition and light system for smart home applications is also verifying in our demo room and in the smart house in National Taiwan University.