The impact of serum BNP on retinal perfusion assessed by an AI-based denoising optical coherence tomography angiography in CHD patients
Background: To investigate the correlation between retinal vessel density (VD) parameters with serum B-type natriuretic peptide (BNP) in patients with coronary heart disease (CHD) using novel optical coherence tomography angiography (OCTA) denoising images based on artificial intelligence (AI). Meth...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024053362 |
| _version_ | 1797205975869947904 |
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| author | Jin wang Huan Weng Yiwen Qian Yuceng Wang Luoziyi Wang Xin Wang Pei Zhang Zhiliang Wang |
| author_facet | Jin wang Huan Weng Yiwen Qian Yuceng Wang Luoziyi Wang Xin Wang Pei Zhang Zhiliang Wang |
| author_sort | Jin wang |
| collection | DOAJ |
| description | Background: To investigate the correlation between retinal vessel density (VD) parameters with serum B-type natriuretic peptide (BNP) in patients with coronary heart disease (CHD) using novel optical coherence tomography angiography (OCTA) denoising images based on artificial intelligence (AI). Methods: OCTA images of the optic nerve and macular area were obtained using a Canon-HS100 OCT device in 176 patients with CHD. Baseline information and blood test results were recorded. Results: Retinal VD parameters of the macular and optic nerves on OCTA were significantly decreased in patients with CHD after denoising. Retinal VD of the superficial capillary plexus (SCP), deep capillary plexus (DCP) and radial peripapillary capillary (RPC) was strongly correlated with serum BNP levels in patients with CHD. Significant differences were noted in retinal thickness and retinal VD (SCP, DCP and RPC) between the increased BNP and normal BNP groups in patients with CHD. Conclusion: Deep learning denoising can remove background noise and smooth rough vessel surfaces. SCP,DCP and RPC may be potential clinical markers of cardiac function in patients with CHD. Denoising shows great potential for improving the sensitivity of OCTA images as a biomarker for CHD progression. |
| first_indexed | 2024-04-24T08:59:40Z |
| format | Article |
| id | doaj.art-69bf4f1edc2b4ae4881c60c865131512 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T08:59:40Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-69bf4f1edc2b4ae4881c60c8651315122024-04-16T04:09:44ZengElsevierHeliyon2405-84402024-04-01108e29305The impact of serum BNP on retinal perfusion assessed by an AI-based denoising optical coherence tomography angiography in CHD patientsJin wang0Huan Weng1Yiwen Qian2Yuceng Wang3Luoziyi Wang4Xin Wang5Pei Zhang6Zhiliang Wang7Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University, Shanghai, ChinaDepartment of Ophthalmology, Huashan Hospital of Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Huashan Hospital of Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Huashan Hospital of Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Huashan Hospital of Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Huashan Hospital of Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Huashan Hospital of Fudan University, Shanghai, China; Corresponding author. No. 12 Middle Urumqi Road, Shanghai, 200040, China.Department of Ophthalmology, Huashan Hospital of Fudan University, Shanghai, China; Corresponding author.Background: To investigate the correlation between retinal vessel density (VD) parameters with serum B-type natriuretic peptide (BNP) in patients with coronary heart disease (CHD) using novel optical coherence tomography angiography (OCTA) denoising images based on artificial intelligence (AI). Methods: OCTA images of the optic nerve and macular area were obtained using a Canon-HS100 OCT device in 176 patients with CHD. Baseline information and blood test results were recorded. Results: Retinal VD parameters of the macular and optic nerves on OCTA were significantly decreased in patients with CHD after denoising. Retinal VD of the superficial capillary plexus (SCP), deep capillary plexus (DCP) and radial peripapillary capillary (RPC) was strongly correlated with serum BNP levels in patients with CHD. Significant differences were noted in retinal thickness and retinal VD (SCP, DCP and RPC) between the increased BNP and normal BNP groups in patients with CHD. Conclusion: Deep learning denoising can remove background noise and smooth rough vessel surfaces. SCP,DCP and RPC may be potential clinical markers of cardiac function in patients with CHD. Denoising shows great potential for improving the sensitivity of OCTA images as a biomarker for CHD progression.http://www.sciencedirect.com/science/article/pii/S2405844024053362Deep learningOCTADenoisingCHDArtificial intelligenceBrain natriuretic peptide |
| spellingShingle | Jin wang Huan Weng Yiwen Qian Yuceng Wang Luoziyi Wang Xin Wang Pei Zhang Zhiliang Wang The impact of serum BNP on retinal perfusion assessed by an AI-based denoising optical coherence tomography angiography in CHD patients Heliyon Deep learning OCTA Denoising CHD Artificial intelligence Brain natriuretic peptide |
| title | The impact of serum BNP on retinal perfusion assessed by an AI-based denoising optical coherence tomography angiography in CHD patients |
| title_full | The impact of serum BNP on retinal perfusion assessed by an AI-based denoising optical coherence tomography angiography in CHD patients |
| title_fullStr | The impact of serum BNP on retinal perfusion assessed by an AI-based denoising optical coherence tomography angiography in CHD patients |
| title_full_unstemmed | The impact of serum BNP on retinal perfusion assessed by an AI-based denoising optical coherence tomography angiography in CHD patients |
| title_short | The impact of serum BNP on retinal perfusion assessed by an AI-based denoising optical coherence tomography angiography in CHD patients |
| title_sort | impact of serum bnp on retinal perfusion assessed by an ai based denoising optical coherence tomography angiography in chd patients |
| topic | Deep learning OCTA Denoising CHD Artificial intelligence Brain natriuretic peptide |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024053362 |
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