Retinal diseases are a serious threat to human visual health and their early diagnosis is crucial.Currently,most of the retinal disease diagnostic algorithms are based on a single imaging modality of fundus color phot...Retinal diseases are a serious threat to human visual health and their early diagnosis is crucial.Currently,most of the retinal disease diagnostic algorithms are based on a single imaging modality of fundus color photography(FCP)or optical coherence tomography(OCT).These methods can only reflect retinal diseases to a certain extent,ignoring the speci ficity of modalities between different imaging modalities.In this research,a newmulti-scale feature fusion network(MSFF-Net)model for multi-modal retinal image diagnosis is proposed.The MSFF-Net model employs a dualbranch architecture design,enabling efficient learning and extraction of multi-modal feature information related to retinal diseases from CFP and OCT images.MSFF-Net improves disease diagnosis by combining multi-scale features of CFP and OCT images.When evaluated on challenging datasets,the model achieved an accuracy of 95.00%and an F1-score of 95.24%for retinal disease diagnosis.Even under low-quality dataset conditions,it maintained robust performance,with diagnostic accuracy and F1-scores of 71.50%and 71.73%,respectively.In addition,the MSFFNet model outperformed eight state-of-the-art single and multi-modal models in the comparison experiments.The proposed MSFF-Net model provides ophthalmologists with a more accurate and efficient diagnostic pathway that helps them detect and treat retinal diseases earlier.展开更多
目的:研究康柏西普对视网膜静脉阻塞性黄斑水肿(RVO-ME)患者不同光学相干断层扫描(OCT)生物标记物的影响,并分析其变化与视力预后的关系。方法:回顾性研究,收集2023年1月至2024年12月我院收治的RVO-ME患者57例57眼,其中视网膜中央静脉阻...目的:研究康柏西普对视网膜静脉阻塞性黄斑水肿(RVO-ME)患者不同光学相干断层扫描(OCT)生物标记物的影响,并分析其变化与视力预后的关系。方法:回顾性研究,收集2023年1月至2024年12月我院收治的RVO-ME患者57例57眼,其中视网膜中央静脉阻塞(CRVO)组25例25眼,视网膜分支静脉阻塞(BRVO)组32例32眼,所有患者均接受玻璃体腔注射康柏西普治疗(每月1次,共3次)。比较手术前后最佳矫正视力(BCVA),不同OCT生物标记物的变化包括中央黄斑厚度(CMT)、视网膜内层结构紊乱(DRIL)的长度、高反射点(HRD)数量、视网膜内积液(IRF)、视网膜下积液(SRF)面积、椭圆体带(EZ)断裂的长度,并分析不同OCT生物标记物的变化与BCVA的关系。结果:与术前相比,术后3 mo BCVA(LogMAR)改善、CMT下降、DRIL长度缩短、HRD数量减少、IRF面积下降、SRF面积降低、EZ中断长度缩短(均P<0.05)。Spearman相关性分析表明:手术前后CMT、DRIL长度、HRD数量、IRF面积、SRF面积变化与BCVA变化均无相关性(P>0.05),但EZ中断长度的变化与BCVA变化呈正相关(rs=0.34,P=0.011),EZ断裂长度的变化与BCVA变化的拟合曲线R^(2)=0.113,P=0.011。CRVO组和BRVO组患者手术前后BCVA、DRIL长度、HRD数量、IRF面积、SRF面积、EZ中断长度变化量比较均无差异(均P>0.05),CMT变化量比较有差异(P=0.002)。结论:康柏西普可有效改善RVO-ME患者的多种OCT生物标记物,其中EZ中断修复是视力恢复的关键驱动因素,其稳定性可作为抗血管内皮生长因子治疗个体化决策的新指标。展开更多
基金supported by the National Natural Science Foundation of China(Nos.82472104 and U24B2053)the Natural Science Basic Research Program of Shaanxi(No.2025JC-JCQN-023)+2 种基金the Key Core Technology Research and Development of Shaanxi(No.2024QY2-GJHX-03)the Innovation Capability Support Program of Shaanxi(Program No.2023-CX-TD-54)the Xidian University Specially Funded Project for Interdisciplinary Exploration(No.TZJHF202510).
文摘Retinal diseases are a serious threat to human visual health and their early diagnosis is crucial.Currently,most of the retinal disease diagnostic algorithms are based on a single imaging modality of fundus color photography(FCP)or optical coherence tomography(OCT).These methods can only reflect retinal diseases to a certain extent,ignoring the speci ficity of modalities between different imaging modalities.In this research,a newmulti-scale feature fusion network(MSFF-Net)model for multi-modal retinal image diagnosis is proposed.The MSFF-Net model employs a dualbranch architecture design,enabling efficient learning and extraction of multi-modal feature information related to retinal diseases from CFP and OCT images.MSFF-Net improves disease diagnosis by combining multi-scale features of CFP and OCT images.When evaluated on challenging datasets,the model achieved an accuracy of 95.00%and an F1-score of 95.24%for retinal disease diagnosis.Even under low-quality dataset conditions,it maintained robust performance,with diagnostic accuracy and F1-scores of 71.50%and 71.73%,respectively.In addition,the MSFFNet model outperformed eight state-of-the-art single and multi-modal models in the comparison experiments.The proposed MSFF-Net model provides ophthalmologists with a more accurate and efficient diagnostic pathway that helps them detect and treat retinal diseases earlier.
文摘目的:研究康柏西普对视网膜静脉阻塞性黄斑水肿(RVO-ME)患者不同光学相干断层扫描(OCT)生物标记物的影响,并分析其变化与视力预后的关系。方法:回顾性研究,收集2023年1月至2024年12月我院收治的RVO-ME患者57例57眼,其中视网膜中央静脉阻塞(CRVO)组25例25眼,视网膜分支静脉阻塞(BRVO)组32例32眼,所有患者均接受玻璃体腔注射康柏西普治疗(每月1次,共3次)。比较手术前后最佳矫正视力(BCVA),不同OCT生物标记物的变化包括中央黄斑厚度(CMT)、视网膜内层结构紊乱(DRIL)的长度、高反射点(HRD)数量、视网膜内积液(IRF)、视网膜下积液(SRF)面积、椭圆体带(EZ)断裂的长度,并分析不同OCT生物标记物的变化与BCVA的关系。结果:与术前相比,术后3 mo BCVA(LogMAR)改善、CMT下降、DRIL长度缩短、HRD数量减少、IRF面积下降、SRF面积降低、EZ中断长度缩短(均P<0.05)。Spearman相关性分析表明:手术前后CMT、DRIL长度、HRD数量、IRF面积、SRF面积变化与BCVA变化均无相关性(P>0.05),但EZ中断长度的变化与BCVA变化呈正相关(rs=0.34,P=0.011),EZ断裂长度的变化与BCVA变化的拟合曲线R^(2)=0.113,P=0.011。CRVO组和BRVO组患者手术前后BCVA、DRIL长度、HRD数量、IRF面积、SRF面积、EZ中断长度变化量比较均无差异(均P>0.05),CMT变化量比较有差异(P=0.002)。结论:康柏西普可有效改善RVO-ME患者的多种OCT生物标记物,其中EZ中断修复是视力恢复的关键驱动因素,其稳定性可作为抗血管内皮生长因子治疗个体化决策的新指标。
