4,218 publications from this institution
Studies in larger populations and long-term outcomes of Mediastinoscopic esophagectomy (ME) were needed. The aim of this study was to report the long-term survival and surgical process for reducing the postoperative complications after ME.From December 2005 to March 2018, 269 patients diagnosed with esophageal squamous cell carcinoma were participated for ME in our center, while we improved the surgical process in November 1st 2014, clinical data was collected and analyzed.The overall survival rate after ME was 60.3% at 10-year and 69.2% at 5-year, and the survival curve was markedly associated with T and N stages. N2-3 stage resulted in lower survival time, while the median survival was 36 months. After Nov. 2014, the positive rate of lymph nodes around left recurrent laryngeal nerve (LRLN) was increased from 6.7% to 14.5% (P<0.05), and the morbidity of vocal cord paralysis decreased from 9.8% to 3.9% (P<0.05), while the incidence of anastomotic fistula decreased from 15% to 5.3% in ME (P<0.05), compared with the data before Nov. 2014.ME was an effective surgical method for esophageal cancer. The processes of isolating and marking the LRLN and reinforcing the posterior wall of anastomosis were proved valuable for improvement of postoperative complications.
Abstract With the fast development of integrated circuit technology and internet of things, sensors with multifunctional characteristics are desperately needed. This work presents an integrated electromagnetic‐triboelectric active sensor (ETAS) for simultaneous detection of multiple mechanical triggering signals. The good combination of a contact‐separation mode triboelectric nanogenerator (TENG) and an electromagnetic generator (EMG) realizes the complement of their individual advantages. The theoretical calculation and analysis of EMG and TENG are performed to understand the relationship between their output and the external mechanical signals. The experimental results show that the output voltage of TENG part is suitable to detect the magnitude of the external triggering force with a sensitivity of about 2.01 V N −1 . Meanwhile, the output current of EMG part is more appropriate to reflect the triggering velocity and the sensitivity is about 4.3 mA (m s −1 ) −1 . Moreover, both the TENG part and the EMG part exhibit good stabilities after more than 20 000 cycles of force loading and unloading. One ETAS that can record the typing behavior of the finger precisely is demonstrated. In addition, the TENG part can harvest the mechanical energy during typing for possible powering of tiny electronics. This ETAS has promising applications in complex human–machine interface, personal identification, and security system.