Acute aortic dissection is one of the most life-threatening cardiovascular diseases,with a high mortality rate.Its prevalence ranges from 0.2%to 0.8%in humans,resulting in a significant number of deaths due to being m...Acute aortic dissection is one of the most life-threatening cardiovascular diseases,with a high mortality rate.Its prevalence ranges from 0.2%to 0.8%in humans,resulting in a significant number of deaths due to being missed in manual examinations.More importantly,the aortic diameter—a critical indicator for surgical selection—significantly influences the outcomes of surgeries post-diagnosis.Therefore,it is an urgent yet challenging mission to develop an automatic aortic dissection diagnostic system that can recognize and classify the aortic dissection type and measure the aortic diameter.This paper offers a dual-functional deep learning system called aortic dissections diagnosis-aiding system(DDAsys)that enables both accurate classification of aortic dissection and precise diameter measurement of the aorta.To this end,we created a dataset containing 61190 computed tomography angiography(CTA)images from 279 patients from the Division of Cardiovascular Surgery at Tongji Hospital,Wuhan,China.The dataset provides a slice-level summary of difficult-to-identify features,which helps to improve the accuracy of both recognition and classification.Our system achieves a recognition F1 score of 0.984,an average classification F1 score of 0.935,and the respective measurement precisions for ascending and descending aortic diameters are 0.994 mm and 0.767 mm root mean square error(RMSE).The high consistency(88.6%)between the recommended surgical treatments and the actual corresponding surgeries verifies the capability of our system to aid clinicians in developing a more prompt,precise,and consistent treatment strategy.展开更多
A recent study published by Simon Alberti1 in Cell has revealed that DNA double-strand break(DSB)sites that prevent the disjunction of broken DNA ends are formed through poly(ADPribose)(PAR)polymerase 1(PARP1)-DNA co-...A recent study published by Simon Alberti1 in Cell has revealed that DNA double-strand break(DSB)sites that prevent the disjunction of broken DNA ends are formed through poly(ADPribose)(PAR)polymerase 1(PARP1)-DNA co-condensation.1(Fig.1).Here,a comprehensive and novel model was provided for the ordered assembly of PARP1-DNA condensates,which can rationally make clear broken DNA end synapses and how repair effectors are recruited to repair DSB.展开更多
基金funded by the National Natural Science Foundation of China (U2141235,62225306,82070488,and 82000440)the Natural Science Foundation of Hubei Province (2021CFB084)the Guangdong Basic and Applied Research Foundation (2022B1515120069).
文摘Acute aortic dissection is one of the most life-threatening cardiovascular diseases,with a high mortality rate.Its prevalence ranges from 0.2%to 0.8%in humans,resulting in a significant number of deaths due to being missed in manual examinations.More importantly,the aortic diameter—a critical indicator for surgical selection—significantly influences the outcomes of surgeries post-diagnosis.Therefore,it is an urgent yet challenging mission to develop an automatic aortic dissection diagnostic system that can recognize and classify the aortic dissection type and measure the aortic diameter.This paper offers a dual-functional deep learning system called aortic dissections diagnosis-aiding system(DDAsys)that enables both accurate classification of aortic dissection and precise diameter measurement of the aorta.To this end,we created a dataset containing 61190 computed tomography angiography(CTA)images from 279 patients from the Division of Cardiovascular Surgery at Tongji Hospital,Wuhan,China.The dataset provides a slice-level summary of difficult-to-identify features,which helps to improve the accuracy of both recognition and classification.Our system achieves a recognition F1 score of 0.984,an average classification F1 score of 0.935,and the respective measurement precisions for ascending and descending aortic diameters are 0.994 mm and 0.767 mm root mean square error(RMSE).The high consistency(88.6%)between the recommended surgical treatments and the actual corresponding surgeries verifies the capability of our system to aid clinicians in developing a more prompt,precise,and consistent treatment strategy.
基金supported by Chinese National Natural Science Funds(31925013,32125016,U20A20393,T2321005)special programs from the Ministry of Science and Technology of China(2021YFA1101000 and 2023YFA1800200)+1 种基金Suzhou Innovation and Entrepreneurship Leading Talent Program(ZXL2022505,ZXL2022442)Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD).
文摘A recent study published by Simon Alberti1 in Cell has revealed that DNA double-strand break(DSB)sites that prevent the disjunction of broken DNA ends are formed through poly(ADPribose)(PAR)polymerase 1(PARP1)-DNA co-condensation.1(Fig.1).Here,a comprehensive and novel model was provided for the ordered assembly of PARP1-DNA condensates,which can rationally make clear broken DNA end synapses and how repair effectors are recruited to repair DSB.
