The deep learning method automatically extracts advanced features from a large amount of data, avoiding cumbersome manual feature screening, and using digital pathology and artificial intelligence technology to build ...The deep learning method automatically extracts advanced features from a large amount of data, avoiding cumbersome manual feature screening, and using digital pathology and artificial intelligence technology to build a computer-aided diagnosis system to help pathologists quickly make objective and reliable diagnoses and improve work efficiency. Because pathological images are limited by factors such as sample size, manual labeling expertise, and complexity, artificial intelligence algorithms have not been extensively and in-depth researched on pathological images of lung cancer metastasis. Therefore, this paper proposes a lung cancer metastasis segmentation method based on pathological images, to further improve the computer-aided diagnosis method of lung cancer.展开更多
As the only way for air to enter the lungs,the trachea plays an indispensable role in conducting,cleaning,and humidifying air.Tumors,trauma,and congenital disease of the trachea are serious threats to patients[1].Loca...As the only way for air to enter the lungs,the trachea plays an indispensable role in conducting,cleaning,and humidifying air.Tumors,trauma,and congenital disease of the trachea are serious threats to patients[1].Local tracheal disease can be treated with a balloon or stent,but for extensive tracheal disease,tracheal reconstruction after surgical resection is the only treatment[2–4].However,the tension of the anastomotic site also increases with expansion of the resection range,which causes a series of complications,such as poor anastomotic healing,anastomotic fistulae,and tracheal rupture,and even life-threatening complications in severe cases[5].展开更多
Tissue injury leads to gradients of chemoattractants,which drive multiple processes for tissue repair,including the inflam-matory response as well as endogenous cell recruitment.However,a limited time window for the g...Tissue injury leads to gradients of chemoattractants,which drive multiple processes for tissue repair,including the inflam-matory response as well as endogenous cell recruitment.However,a limited time window for the gradients of chemoattract-ants as well as their poor stability at the injury site may not translate into healthy tissue repair.Consequently,intelligent multifunctional scaffolds with the capability to stabilize injury-induced cytokines and chemokines hold great promise for tissue repair.Vascular endothelial growth factor(VEGF)plays a significant role in wound healing by promoting angiogen-esis.The overarching objective of this research was to develop intelligent multifunctional scaffolds with the capability to endogenously recruit VEGF and promote wound healing via angiogenic and immunomodulatory dual functions.Prominin-1-derived peptide(PR1P)was encapsulated into electrospun poly(L-lactide-coglycolide)/gelatin(P/G)-based bandages.The sustained release of PR1P recruited VEGF in situ,thereby stabilizing the protein concentration peak in vivo and affording a reparative microenvironment with an adequate angiogenic ability at the wound site.Meanwhile,PR1P-recruited VEGF-induced macrophage reprogramming towards M2-like phenotypes further conferred immunomodulatory functions to the bandages.These dual functions of proangiogenesis and immunomodulation formed a cascade amplification,which regulated matrix metalloproteinases(MMP-9)as well as inflammatory factors(nuclear factor(NF)-κb,tumor necrosis factor(TNF)-α)in the wound microenvironment via the VEGF/macrophages/microenvironment axis.Consequently,the bandages realized multifunctional regeneration in splinted excisional wounds in rats,with or without diabetes,affording a higher skin append-age neogenesis,sensory function,and collagen remodeling.Conclusively,our approach encompassing in situ recruitment of VEGF at the injury site with the capability to promote immunomodulation-mediated tissue repair affords a promising avenue for scarless wound regeneration,which may also have implications for other tissue engineering disciplines.展开更多
Correction to:Advanced Fiber Materials https://doi.org/10.1007/s42765-022-00226-8 In this article the author name Muhammad Shafiq was incorrectly written as Shafiq Muhammad.The original article has been corrected.
Dear Editor,The persistent presence of ground-glass opacity nodules(GGN)on thin-section computed tomography(CT)usually suggests the presence of lung adenocarcinoma,1 which include atypical adenomatous hyperplasia(AAH)...Dear Editor,The persistent presence of ground-glass opacity nodules(GGN)on thin-section computed tomography(CT)usually suggests the presence of lung adenocarcinoma,1 which include atypical adenomatous hyperplasia(AAH),adenocarcinoma in situ(AIS),minimally invasive adenocarcinoma,and invasive adenocarcinoma(AD).2 Recent data indicate that up to 20%of GGN patients(3%of the screening population)are diagnosed with synchronous multiple ground-glass nodules(SM-GGNs).3 At present,neither auxiliary tests that could assist in differential diagnosis nor recommended strategy for the identification and treatment of GGNs exist in the clinical practice guidelines for lung cancer,although clinical evidence suggests that SM-GGNs are more complicated,making treatment decisions difficult.展开更多
文摘The deep learning method automatically extracts advanced features from a large amount of data, avoiding cumbersome manual feature screening, and using digital pathology and artificial intelligence technology to build a computer-aided diagnosis system to help pathologists quickly make objective and reliable diagnoses and improve work efficiency. Because pathological images are limited by factors such as sample size, manual labeling expertise, and complexity, artificial intelligence algorithms have not been extensively and in-depth researched on pathological images of lung cancer metastasis. Therefore, this paper proposes a lung cancer metastasis segmentation method based on pathological images, to further improve the computer-aided diagnosis method of lung cancer.
基金the projects from the National Natural Science Foundation of China(Grant Nos.81770091,81970091,82000099)Shanghai Pulmonary Hospital InnovationTeam(Grant Nos.FKCX1906).
文摘As the only way for air to enter the lungs,the trachea plays an indispensable role in conducting,cleaning,and humidifying air.Tumors,trauma,and congenital disease of the trachea are serious threats to patients[1].Local tracheal disease can be treated with a balloon or stent,but for extensive tracheal disease,tracheal reconstruction after surgical resection is the only treatment[2–4].However,the tension of the anastomotic site also increases with expansion of the resection range,which causes a series of complications,such as poor anastomotic healing,anastomotic fistulae,and tracheal rupture,and even life-threatening complications in severe cases[5].
基金Funding National Natural Science Foundation of China,81770091,Chang Chen,NSFC32050410286Shafiq Muhammad,Science and Technology Innovation Plan Of Shanghai Science and Technology Commission,No.20DZ2253700+2 种基金Chang Chen,Japan Society for the Promotion of Science,JP21F21353Shafiq Muhammad,Sino German Science Foundation Research Exchange Center,M-0263Xiumei Mo,Science and Technology Commission of Shanghai Municipality,20S31900900,Xiumei Mo,20DZ2254900,Xiumei Mo.
文摘Tissue injury leads to gradients of chemoattractants,which drive multiple processes for tissue repair,including the inflam-matory response as well as endogenous cell recruitment.However,a limited time window for the gradients of chemoattract-ants as well as their poor stability at the injury site may not translate into healthy tissue repair.Consequently,intelligent multifunctional scaffolds with the capability to stabilize injury-induced cytokines and chemokines hold great promise for tissue repair.Vascular endothelial growth factor(VEGF)plays a significant role in wound healing by promoting angiogen-esis.The overarching objective of this research was to develop intelligent multifunctional scaffolds with the capability to endogenously recruit VEGF and promote wound healing via angiogenic and immunomodulatory dual functions.Prominin-1-derived peptide(PR1P)was encapsulated into electrospun poly(L-lactide-coglycolide)/gelatin(P/G)-based bandages.The sustained release of PR1P recruited VEGF in situ,thereby stabilizing the protein concentration peak in vivo and affording a reparative microenvironment with an adequate angiogenic ability at the wound site.Meanwhile,PR1P-recruited VEGF-induced macrophage reprogramming towards M2-like phenotypes further conferred immunomodulatory functions to the bandages.These dual functions of proangiogenesis and immunomodulation formed a cascade amplification,which regulated matrix metalloproteinases(MMP-9)as well as inflammatory factors(nuclear factor(NF)-κb,tumor necrosis factor(TNF)-α)in the wound microenvironment via the VEGF/macrophages/microenvironment axis.Consequently,the bandages realized multifunctional regeneration in splinted excisional wounds in rats,with or without diabetes,affording a higher skin append-age neogenesis,sensory function,and collagen remodeling.Conclusively,our approach encompassing in situ recruitment of VEGF at the injury site with the capability to promote immunomodulation-mediated tissue repair affords a promising avenue for scarless wound regeneration,which may also have implications for other tissue engineering disciplines.
文摘Correction to:Advanced Fiber Materials https://doi.org/10.1007/s42765-022-00226-8 In this article the author name Muhammad Shafiq was incorrectly written as Shafiq Muhammad.The original article has been corrected.
基金funded by the projects from the National Natural Science Foundation of China(91959126)Shanghai Hospital Development Center(SHDC12017114)+1 种基金Shanghai Pulmonary Hospital Innovation Team(FKCX1906,FKXY1902,FKLY2007,FK1943)Shanghai Science and Technology Committee(20YF1441100,20XD1403000,18DZ2293400).
文摘Dear Editor,The persistent presence of ground-glass opacity nodules(GGN)on thin-section computed tomography(CT)usually suggests the presence of lung adenocarcinoma,1 which include atypical adenomatous hyperplasia(AAH),adenocarcinoma in situ(AIS),minimally invasive adenocarcinoma,and invasive adenocarcinoma(AD).2 Recent data indicate that up to 20%of GGN patients(3%of the screening population)are diagnosed with synchronous multiple ground-glass nodules(SM-GGNs).3 At present,neither auxiliary tests that could assist in differential diagnosis nor recommended strategy for the identification and treatment of GGNs exist in the clinical practice guidelines for lung cancer,although clinical evidence suggests that SM-GGNs are more complicated,making treatment decisions difficult.
