The development of artificial intelligence(AI)and the mining of biomedical data complement each other.From the direct use of computer vision results to analyze medical images for disease screening,to now integrating b...The development of artificial intelligence(AI)and the mining of biomedical data complement each other.From the direct use of computer vision results to analyze medical images for disease screening,to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries,the boundaries of both are constantly expanding,and their connections are becoming closer.Therefore,the theme of the 2024 Annual Quantitative Biology Conference is set as“Biomedical Data and AI”,and was held in Chengdu,China from July 15 to 17,2024.展开更多
Objective This study aims to investigate the prevalence of familial cerebral cavernous malformations(FCCMs)in first-degree relatives(FDRs)using familial screening,to describe the distribution of initial symptoms,lesio...Objective This study aims to investigate the prevalence of familial cerebral cavernous malformations(FCCMs)in first-degree relatives(FDRs)using familial screening,to describe the distribution of initial symptoms,lesion count on cranial MRI and pathogenic gene in patients.Methods Patients with multiple CCMs who enrolled from the Treatments and Outcomes of Untreated Cerebral Cavernous Malformations in China database were considered as probands and FDRs were recruited.Cranial MRI was performed to screen the CCMs lesions,and whole-exome sequencing was performed to identify CCM mutations.MRI and genetic screening were combined to diagnose FCCM in FDRs,and the results were presented as prevalence and 95%CIs.The Kaplan-Meier(KM)method was used to calculate the cumulative incidence of FCCM.Results 33(76.74%)of the 43 families(110 FDRs)were identified as FCCM(85 FDRs).Receiver operating characteristic analysis revealed three lesions on T2-weighted imaging(T2WI)were the strong indicator for distinguishing probands with FCCM(sensitivity,87.10%;specificity,87.50%).Of the 85 FDRs,31 were diagnosed with FCCM,resulting in a prevalence of 36.5%(26.2%-46.7%).In families with FCCMs,the mutation rates for CCM1,CCM2 and CCM3 were 45.45%,21.21%and 9.09%,respectively.Furthermore,53.13%of patients were asymptomatic,17.19%were intracranial haemorrhage and 9.38%were epilepsy.The mean age of symptom onset analysed by KM was 46.67(40.56-52.78)years.Conclusion Based on MRI and genetic analysis,the prevalence of CCMs in the FDRs of families with FCCMs in China was 36.5%.Genetic counselling and MRI screening are recommended for FDRs in patients with more than three CCM lesions on T2WI.展开更多
文摘The development of artificial intelligence(AI)and the mining of biomedical data complement each other.From the direct use of computer vision results to analyze medical images for disease screening,to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries,the boundaries of both are constantly expanding,and their connections are becoming closer.Therefore,the theme of the 2024 Annual Quantitative Biology Conference is set as“Biomedical Data and AI”,and was held in Chengdu,China from July 15 to 17,2024.
基金supported by grants from Technology Platform Construction Project of Fujian Province(2020Y2003,2021Y2001)supported the Fujian Province High level Neuromedical Center Construction Fund(principal investigator:DK),a grant from the Government of Fujian Province(grant number:HLNCC-FJFY 003)supported by grants from National Natural Science Foundation of China(8227051360).
文摘Objective This study aims to investigate the prevalence of familial cerebral cavernous malformations(FCCMs)in first-degree relatives(FDRs)using familial screening,to describe the distribution of initial symptoms,lesion count on cranial MRI and pathogenic gene in patients.Methods Patients with multiple CCMs who enrolled from the Treatments and Outcomes of Untreated Cerebral Cavernous Malformations in China database were considered as probands and FDRs were recruited.Cranial MRI was performed to screen the CCMs lesions,and whole-exome sequencing was performed to identify CCM mutations.MRI and genetic screening were combined to diagnose FCCM in FDRs,and the results were presented as prevalence and 95%CIs.The Kaplan-Meier(KM)method was used to calculate the cumulative incidence of FCCM.Results 33(76.74%)of the 43 families(110 FDRs)were identified as FCCM(85 FDRs).Receiver operating characteristic analysis revealed three lesions on T2-weighted imaging(T2WI)were the strong indicator for distinguishing probands with FCCM(sensitivity,87.10%;specificity,87.50%).Of the 85 FDRs,31 were diagnosed with FCCM,resulting in a prevalence of 36.5%(26.2%-46.7%).In families with FCCMs,the mutation rates for CCM1,CCM2 and CCM3 were 45.45%,21.21%and 9.09%,respectively.Furthermore,53.13%of patients were asymptomatic,17.19%were intracranial haemorrhage and 9.38%were epilepsy.The mean age of symptom onset analysed by KM was 46.67(40.56-52.78)years.Conclusion Based on MRI and genetic analysis,the prevalence of CCMs in the FDRs of families with FCCMs in China was 36.5%.Genetic counselling and MRI screening are recommended for FDRs in patients with more than three CCM lesions on T2WI.
