Thrombotic microangiopathy(TMA)is an uncommon but serious complication that not only affects native kidneys but also transplanted kidneys.This review is specifically focused on post-transplant TMA(PT-TMA)involving kid...Thrombotic microangiopathy(TMA)is an uncommon but serious complication that not only affects native kidneys but also transplanted kidneys.This review is specifically focused on post-transplant TMA(PT-TMA)involving kidney transplant recipients.Its reported prevalence in the latter population varies from 0.8%to 14%with adverse impacts on both graft and patient survival.It has many causes and associations,and the list of etiologic agents and associations is growing constantly.The pathogenesis is equally varied and a variety of pathogenetic pathways lead to the development of microvascular injury as the final common pathway.PT-TMA is categorized in many ways in order to facilitate its management.Ironically,more than one causes are contributory in PT-TMA and it is often difficult to pinpoint one particular cause in an individual case.Pathologically,the hallmark lesions are endothelial cell injury and intravascular thrombi affecting the microvasculature.Early diagnosis and classification of PT-TMA are imperative for optimal outcomes but are challenging for both clinicians and pathologists.The Banff classification has addressed this issue and has developed minimum diagnostic criteria for pathologic diagnosis of PT-TMA in the first phase.Management of the condition is also challenging and still largely empirical.It varies from simple maneuvers,such as plasmapheresis,drug withdrawal or modification,or dose reduction,to lifelong complement blockade,which is very expensive.A thorough understanding of the condition is imperative for an early diagnosis and quick treatment when the treatment is potentially effective.This review aims to increase the awareness of relevant stakeholders regarding this important,potentially treatable but under-recognized cause of kidney allograft dysfunction.展开更多
Digital pathology(DP)and its subsidiaries including artificial intelligence(AI)are rapidly making inroads into the area of diagnostic anatomic pathology(AP)including gastrointestinal(GI)pathology.It is poised to revol...Digital pathology(DP)and its subsidiaries including artificial intelligence(AI)are rapidly making inroads into the area of diagnostic anatomic pathology(AP)including gastrointestinal(GI)pathology.It is poised to revolutionize the field of diagnostic AP.Historically,AP has been slow to adopt digital technology,but this is changing rapidly,with many centers worldwide transitioning to DP.Coupled with advanced techniques of AI such as deep learning and machine learning,DP is likely to transform histopathology from a subjective field to an objective,efficient,and transparent discipline.AI is increasingly integrated into GI pathology,offering numerous advancements and improvements in overall diagnostic accuracy,efficiency,and patient care.Specifically,AI in GI pathology enhances diagnostic accuracy,streamlines workflows,provides predictive insights,integrates multimodal data,supports research,and aids in education and training,ultimately improving patient care and outcomes.This review summarized the latest developments in the role and scope of AI in AP with a focus on GI pathology.The main aim was to provide updates and create awareness among the pathology community.展开更多
文摘Thrombotic microangiopathy(TMA)is an uncommon but serious complication that not only affects native kidneys but also transplanted kidneys.This review is specifically focused on post-transplant TMA(PT-TMA)involving kidney transplant recipients.Its reported prevalence in the latter population varies from 0.8%to 14%with adverse impacts on both graft and patient survival.It has many causes and associations,and the list of etiologic agents and associations is growing constantly.The pathogenesis is equally varied and a variety of pathogenetic pathways lead to the development of microvascular injury as the final common pathway.PT-TMA is categorized in many ways in order to facilitate its management.Ironically,more than one causes are contributory in PT-TMA and it is often difficult to pinpoint one particular cause in an individual case.Pathologically,the hallmark lesions are endothelial cell injury and intravascular thrombi affecting the microvasculature.Early diagnosis and classification of PT-TMA are imperative for optimal outcomes but are challenging for both clinicians and pathologists.The Banff classification has addressed this issue and has developed minimum diagnostic criteria for pathologic diagnosis of PT-TMA in the first phase.Management of the condition is also challenging and still largely empirical.It varies from simple maneuvers,such as plasmapheresis,drug withdrawal or modification,or dose reduction,to lifelong complement blockade,which is very expensive.A thorough understanding of the condition is imperative for an early diagnosis and quick treatment when the treatment is potentially effective.This review aims to increase the awareness of relevant stakeholders regarding this important,potentially treatable but under-recognized cause of kidney allograft dysfunction.
文摘Digital pathology(DP)and its subsidiaries including artificial intelligence(AI)are rapidly making inroads into the area of diagnostic anatomic pathology(AP)including gastrointestinal(GI)pathology.It is poised to revolutionize the field of diagnostic AP.Historically,AP has been slow to adopt digital technology,but this is changing rapidly,with many centers worldwide transitioning to DP.Coupled with advanced techniques of AI such as deep learning and machine learning,DP is likely to transform histopathology from a subjective field to an objective,efficient,and transparent discipline.AI is increasingly integrated into GI pathology,offering numerous advancements and improvements in overall diagnostic accuracy,efficiency,and patient care.Specifically,AI in GI pathology enhances diagnostic accuracy,streamlines workflows,provides predictive insights,integrates multimodal data,supports research,and aids in education and training,ultimately improving patient care and outcomes.This review summarized the latest developments in the role and scope of AI in AP with a focus on GI pathology.The main aim was to provide updates and create awareness among the pathology community.
