BACKGROUND It is difficult and risky for patients with a single lung to undergo thoracoscopic segmental pneumonectomy,and previous reports of related cases are rare.We introduce anesthesia for Extracorporeal membrane ...BACKGROUND It is difficult and risky for patients with a single lung to undergo thoracoscopic segmental pneumonectomy,and previous reports of related cases are rare.We introduce anesthesia for Extracorporeal membrane oxygenation(ECMO)-assisted thoracoscopic lower lobe subsegmental resection in a patient with a single left lung.CASE SUMMARY The patient underwent comprehensive treatment for synovial sarcoma of the right lung and nodules in the lower lobe of the left lung.Examination showed pulmonary function that had severe restrictive ventilation disorder,forced expiratory volume in 1 second of 0.72 L(27.8%),forced vital capacity of 1.0 L(33%),and maximal voluntary ventilation of 33.9 L(35.5%).Lung computed tomography showed a nodular shadow in the lower lobe of the left lung,and lung metastasis was considered.After multidisciplinary consultation and adequate preoperative preparation,thoracoscopic left lower lung lobe S9bii+S10bii combined subsegmental resection was performed with the assistance of total intravenous anesthesia and ECMO intraoperative pulmonary protective ventilation.The patient received postoperative ICU supportive care.After surgical treatment,the patient was successfully withdrawn from ECMO on postoperative Day 1.The tracheal tube was removed on postoperative Day 4,and she was discharged from the hospital on postoperative Day 15.CONCLUSION The multi-disciplinary treatment provided maximum medical optimization for surgical anesthesia and veno-venous ECMO which provided adequate protection for the patient's perioperative treatment.展开更多
Background:The oxygen induced retinopathy rodent model is widely used,notably for the assessment of developmental dystrophies in preclinical studies of vascular retinal diseases.Typically,the quantification of vessel ...Background:The oxygen induced retinopathy rodent model is widely used,notably for the assessment of developmental dystrophies in preclinical studies of vascular retinal diseases.Typically,the quantification of vessel tufts and avascular regions is computed manually from flat mounted retinas imaged using fluorescent probes that highlight the vascular network.However,such manual measurements are time-consuming and hampered by user variability and bias,thus a rapid and objective alternative is required.Methods:We employ a machine learning approach to segment and characterize vascular tufts.The proposed quantitative retinal vascular assessment(QuRVA)technique uses quadratic discrimination analysis and morphological techniques to provide reliable measurements of vascular density and pathological vascular tuft regions,devoid of user intervention within seconds.Our algorithms allow also delineating the whole vasculature network,and identifying and analyzing avascular regions.Results:Our first experiment shows the high degree of error and variability of manual segmentations.In consequence,we developed a set of algorithms to perform this task automatically.We benchmark and validate the results of our analysis pipeline using the consensus of several manually curated segmentations using commonly used computer tools.We describe the method,provide details for reproducing the algorithm,and validate all aspects of the analysis.Conclusions:Manual and semi-automated procedures for tuft detection present strong fluctuations among users,demonstrating the need for fast and unbiased tools in this highly active research field with tremendous implications for basic research and industry.展开更多
River Yamuna is one of the most polluted rivers of the India. It originates from Yamunotri glaciers in the lower Himalayas at an elevation of approximately 6387 meters. The barrages formed on the river are playing a m...River Yamuna is one of the most polluted rivers of the India. It originates from Yamunotri glaciers in the lower Himalayas at an elevation of approximately 6387 meters. The barrages formed on the river are playing a major role in escalating the river pollution. River can be divided into five segments on the bases of hydro-logical and ecological conditions. Water quality of only one segment (Himalayan segment) meets the river water quality standards. Normally no water is allowed to flow downstream of the Himalayan segment (Te-jewala barrage) especially in the summer and winter seasons to fulfill the demand of water of the surround-ing area. Whatever water flows in the downstream of the Tajewala barrage is the untreated or partially treated domestic and Industrial wastewater contributed through various drains. The discharge of untreated domestic and industrial effluents have severely affected the quality of Yamuna River and now it falls under the category E, which makes it fit only for recreation and industrial cooling, completely ruling out the possi-bility for underwater life and domestic supply. Almost every year mass death of fishes is reported. Pollution levels in the Yamuna River have risen. Biochemical oxygen demand (BOD) load has increased by 2.5 times between 1980 and 2005: From 117 tonnes per day (TDP) in 1980 to 276 TDP in 2005. The Yamuna has been reduced to a small stream, draining industrial effluents, sewage, dirt and other toxic substances. There is an urgent need to take stringent measures to alleviate these pollution loads and save an ailing river.展开更多
基金Supported by the Special Scientific Research Project of the National Traditional Chinese Medicine Clinical Research Base,No.JDZX201926.
文摘BACKGROUND It is difficult and risky for patients with a single lung to undergo thoracoscopic segmental pneumonectomy,and previous reports of related cases are rare.We introduce anesthesia for Extracorporeal membrane oxygenation(ECMO)-assisted thoracoscopic lower lobe subsegmental resection in a patient with a single left lung.CASE SUMMARY The patient underwent comprehensive treatment for synovial sarcoma of the right lung and nodules in the lower lobe of the left lung.Examination showed pulmonary function that had severe restrictive ventilation disorder,forced expiratory volume in 1 second of 0.72 L(27.8%),forced vital capacity of 1.0 L(33%),and maximal voluntary ventilation of 33.9 L(35.5%).Lung computed tomography showed a nodular shadow in the lower lobe of the left lung,and lung metastasis was considered.After multidisciplinary consultation and adequate preoperative preparation,thoracoscopic left lower lung lobe S9bii+S10bii combined subsegmental resection was performed with the assistance of total intravenous anesthesia and ECMO intraoperative pulmonary protective ventilation.The patient received postoperative ICU supportive care.After surgical treatment,the patient was successfully withdrawn from ECMO on postoperative Day 1.The tracheal tube was removed on postoperative Day 4,and she was discharged from the hospital on postoperative Day 15.CONCLUSION The multi-disciplinary treatment provided maximum medical optimization for surgical anesthesia and veno-venous ECMO which provided adequate protection for the patient's perioperative treatment.
文摘Background:The oxygen induced retinopathy rodent model is widely used,notably for the assessment of developmental dystrophies in preclinical studies of vascular retinal diseases.Typically,the quantification of vessel tufts and avascular regions is computed manually from flat mounted retinas imaged using fluorescent probes that highlight the vascular network.However,such manual measurements are time-consuming and hampered by user variability and bias,thus a rapid and objective alternative is required.Methods:We employ a machine learning approach to segment and characterize vascular tufts.The proposed quantitative retinal vascular assessment(QuRVA)technique uses quadratic discrimination analysis and morphological techniques to provide reliable measurements of vascular density and pathological vascular tuft regions,devoid of user intervention within seconds.Our algorithms allow also delineating the whole vasculature network,and identifying and analyzing avascular regions.Results:Our first experiment shows the high degree of error and variability of manual segmentations.In consequence,we developed a set of algorithms to perform this task automatically.We benchmark and validate the results of our analysis pipeline using the consensus of several manually curated segmentations using commonly used computer tools.We describe the method,provide details for reproducing the algorithm,and validate all aspects of the analysis.Conclusions:Manual and semi-automated procedures for tuft detection present strong fluctuations among users,demonstrating the need for fast and unbiased tools in this highly active research field with tremendous implications for basic research and industry.
文摘River Yamuna is one of the most polluted rivers of the India. It originates from Yamunotri glaciers in the lower Himalayas at an elevation of approximately 6387 meters. The barrages formed on the river are playing a major role in escalating the river pollution. River can be divided into five segments on the bases of hydro-logical and ecological conditions. Water quality of only one segment (Himalayan segment) meets the river water quality standards. Normally no water is allowed to flow downstream of the Himalayan segment (Te-jewala barrage) especially in the summer and winter seasons to fulfill the demand of water of the surround-ing area. Whatever water flows in the downstream of the Tajewala barrage is the untreated or partially treated domestic and Industrial wastewater contributed through various drains. The discharge of untreated domestic and industrial effluents have severely affected the quality of Yamuna River and now it falls under the category E, which makes it fit only for recreation and industrial cooling, completely ruling out the possi-bility for underwater life and domestic supply. Almost every year mass death of fishes is reported. Pollution levels in the Yamuna River have risen. Biochemical oxygen demand (BOD) load has increased by 2.5 times between 1980 and 2005: From 117 tonnes per day (TDP) in 1980 to 276 TDP in 2005. The Yamuna has been reduced to a small stream, draining industrial effluents, sewage, dirt and other toxic substances. There is an urgent need to take stringent measures to alleviate these pollution loads and save an ailing river.
