Objective: The aim of our study was to examine whether irradiation combined with pemetrexed can exacerbate pulmonary injury. Methods: Two groups of male Wister Rats were subjected to bilateral apex of lungs irradiatio...Objective: The aim of our study was to examine whether irradiation combined with pemetrexed can exacerbate pulmonary injury. Methods: Two groups of male Wister Rats were subjected to bilateral apex of lungs irradiation(a single dose of 12 Gy), with or without pemetrexed(20 mg/kg) by intraperitoneal injection at the same time; a third group of weightand age- matched animals were treated with pemetrexed alone, as the same dose scheme, time and root of injection. The fourth group served as control. The whole lung mounts were dissected to histological evaluation, while serum cytokine transforming growth factor-β1(TGF-β1) analysis were compared at 1, 7, 21, 35, 49 days post-irradiation after irradiation. Results: Histological examination showed a thickening of alveolar septal, accumulation of inflammatory cells. The irradiation treatment group and the radiation-chemo treatment group showed a statistically significant higher level of TGF-β1(P < 0.05) than other two groups, but there were no differences between these two irradiation groups. Conclusion: These results demonstrated that pemetrexed can not aggravate pulmonary injury and it could be safely used in concurrent or sequential radio-chemotherapy in lung adenocarcinoma.展开更多
Edge detection for low-contrast phase objects cannot be performed directly by the spatial difference of intensity distribution.In this work,an all-optical diffractive neural network(DPENet)based on the differential in...Edge detection for low-contrast phase objects cannot be performed directly by the spatial difference of intensity distribution.In this work,an all-optical diffractive neural network(DPENet)based on the differential interference contrast principle to detect the edges of phase objects in an all-optical manner is proposed.Edge information is encoded into an interference light field by dual Wollaston prisms without lenses and light-speed processed by the diffractive neural network to obtain the scale-adjustable edges.Simulation results show that DPENet achieves F-scores of 0.9308(MNIST)and 0.9352(NIST)and enables real-time edge detection of biological cells,achieving an F-score of 0.7462.展开更多
文摘Objective: The aim of our study was to examine whether irradiation combined with pemetrexed can exacerbate pulmonary injury. Methods: Two groups of male Wister Rats were subjected to bilateral apex of lungs irradiation(a single dose of 12 Gy), with or without pemetrexed(20 mg/kg) by intraperitoneal injection at the same time; a third group of weightand age- matched animals were treated with pemetrexed alone, as the same dose scheme, time and root of injection. The fourth group served as control. The whole lung mounts were dissected to histological evaluation, while serum cytokine transforming growth factor-β1(TGF-β1) analysis were compared at 1, 7, 21, 35, 49 days post-irradiation after irradiation. Results: Histological examination showed a thickening of alveolar septal, accumulation of inflammatory cells. The irradiation treatment group and the radiation-chemo treatment group showed a statistically significant higher level of TGF-β1(P < 0.05) than other two groups, but there were no differences between these two irradiation groups. Conclusion: These results demonstrated that pemetrexed can not aggravate pulmonary injury and it could be safely used in concurrent or sequential radio-chemotherapy in lung adenocarcinoma.
基金supported by the National Key Research and Development Program of China(Nos.2021YFB2802000 and 2022YFB2804301)Shanghai Municipal Science and Technology Major Project,Science and Technology Commission of Shanghai Municipality(No.21DZ1100500)+2 种基金Shanghai Frontiers Science Center Program(2021-2025 No.20)National Natural Science Foundation of China(Nos.61975123 and 12072200)Science and Technology Development Foundation of Pudong New Area(No.PKX2021-D10)。
文摘Edge detection for low-contrast phase objects cannot be performed directly by the spatial difference of intensity distribution.In this work,an all-optical diffractive neural network(DPENet)based on the differential interference contrast principle to detect the edges of phase objects in an all-optical manner is proposed.Edge information is encoded into an interference light field by dual Wollaston prisms without lenses and light-speed processed by the diffractive neural network to obtain the scale-adjustable edges.Simulation results show that DPENet achieves F-scores of 0.9308(MNIST)and 0.9352(NIST)and enables real-time edge detection of biological cells,achieving an F-score of 0.7462.
