Predicting plaque regression based on plaque characteristics identified by optical coherence tomography: A retrospective study
Background: Atherosclerosis is a lipid-driven, systemic immune-inflammatory disease characterized by the accumulation of plaque within the arterial walls. Plaque regression can occur following appropriate treatment interventions. Optical coherence tomography (OCT), a high-resolution imaging modality...
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Elsevier
2025-02-01
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| Series: | Photodiagnosis and Photodynamic Therapy |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1572100025000031 |
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| author | Cheng-Hui Fan Lyu-fan Chen Jing Cheng Yi-Qiong Wang Ling-Hao Xu Ji-Ming Li |
| author_facet | Cheng-Hui Fan Lyu-fan Chen Jing Cheng Yi-Qiong Wang Ling-Hao Xu Ji-Ming Li |
| author_sort | Cheng-Hui Fan |
| collection | DOAJ |
| description | Background: Atherosclerosis is a lipid-driven, systemic immune-inflammatory disease characterized by the accumulation of plaque within the arterial walls. Plaque regression can occur following appropriate treatment interventions. Optical coherence tomography (OCT), a high-resolution imaging modality, is frequently employed to assess plaque morphology. This study aims to explore the correlation between plaque characteristics identified using OCT, particularly macrophage infiltration, and subsequent plaque regression. Methods: In this retrospective study, data from 112 individuals with coronary artery plaques, who underwent OCT imaging at our hospital, between June 2019 and June 2024, were evaluated. Plaques were classified as lipid-rich, fibrous, or calcified based on the initial OCT findings. Macrophage infiltration levels within each plaque type were quantified. After one year of follow-up, repeat OCT imaging was performed to evaluate plaque regression. Statistical analyses were conducted to assess the relationship between initial plaque characteristics and regression outcomes. Results: Plaques that underwent regression were more commonly lipid-rich and exhibited higher levels of macrophage infiltration compared to those without regression. Multivariate analysis identified the histological inflammation score (HIS) as an independent factor influencing plaque regression. Conclusion: Macrophage-rich plaques, as detected by OCT, are significant predictors of plaque regression. The identification of vulnerable plaque features through OCT can enhance the early diagnosis and treatment strategies for atherosclerotic cardiovascular disease. |
| format | Article |
| id | doaj-art-5442f05f48a2410c88d093bf916755cd |
| institution | Kabale University |
| issn | 1572-1000 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Photodiagnosis and Photodynamic Therapy |
| spelling | doaj-art-5442f05f48a2410c88d093bf916755cd2025-02-01T04:11:49ZengElsevierPhotodiagnosis and Photodynamic Therapy1572-10002025-02-0151104473Predicting plaque regression based on plaque characteristics identified by optical coherence tomography: A retrospective studyCheng-Hui Fan0Lyu-fan Chen1Jing Cheng2Yi-Qiong Wang3Ling-Hao Xu4Ji-Ming Li5Department of Cardiology, Shanghai East Hospital, Nanjing Medical University, Nanjing 211166, China; Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai 200092, ChinaDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai 200092, ChinaDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai 200092, ChinaDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai 200092, ChinaDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai 200092, China; Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, ChinaDepartment of Cardiology, Shanghai East Hospital, Nanjing Medical University, Nanjing 211166, China; Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai 200092, China; Corresponding author at: Department of Cardiology, Shanghai East Hospital, Nanjing Medical University, No.150 Jimo Road, Pudong District, Shanghai 210120, China.Background: Atherosclerosis is a lipid-driven, systemic immune-inflammatory disease characterized by the accumulation of plaque within the arterial walls. Plaque regression can occur following appropriate treatment interventions. Optical coherence tomography (OCT), a high-resolution imaging modality, is frequently employed to assess plaque morphology. This study aims to explore the correlation between plaque characteristics identified using OCT, particularly macrophage infiltration, and subsequent plaque regression. Methods: In this retrospective study, data from 112 individuals with coronary artery plaques, who underwent OCT imaging at our hospital, between June 2019 and June 2024, were evaluated. Plaques were classified as lipid-rich, fibrous, or calcified based on the initial OCT findings. Macrophage infiltration levels within each plaque type were quantified. After one year of follow-up, repeat OCT imaging was performed to evaluate plaque regression. Statistical analyses were conducted to assess the relationship between initial plaque characteristics and regression outcomes. Results: Plaques that underwent regression were more commonly lipid-rich and exhibited higher levels of macrophage infiltration compared to those without regression. Multivariate analysis identified the histological inflammation score (HIS) as an independent factor influencing plaque regression. Conclusion: Macrophage-rich plaques, as detected by OCT, are significant predictors of plaque regression. The identification of vulnerable plaque features through OCT can enhance the early diagnosis and treatment strategies for atherosclerotic cardiovascular disease.http://www.sciencedirect.com/science/article/pii/S1572100025000031AtherosclerosisCalcified plaqueHistological inflammation score (HIS)Lipid-lowering therapyLipid plaques with abundant macrophagesOptical coherence tomography (OCT) |
| spellingShingle | Cheng-Hui Fan Lyu-fan Chen Jing Cheng Yi-Qiong Wang Ling-Hao Xu Ji-Ming Li Predicting plaque regression based on plaque characteristics identified by optical coherence tomography: A retrospective study Photodiagnosis and Photodynamic Therapy Atherosclerosis Calcified plaque Histological inflammation score (HIS) Lipid-lowering therapy Lipid plaques with abundant macrophages Optical coherence tomography (OCT) |
| title | Predicting plaque regression based on plaque characteristics identified by optical coherence tomography: A retrospective study |
| title_full | Predicting plaque regression based on plaque characteristics identified by optical coherence tomography: A retrospective study |
| title_fullStr | Predicting plaque regression based on plaque characteristics identified by optical coherence tomography: A retrospective study |
| title_full_unstemmed | Predicting plaque regression based on plaque characteristics identified by optical coherence tomography: A retrospective study |
| title_short | Predicting plaque regression based on plaque characteristics identified by optical coherence tomography: A retrospective study |
| title_sort | predicting plaque regression based on plaque characteristics identified by optical coherence tomography a retrospective study |
| topic | Atherosclerosis Calcified plaque Histological inflammation score (HIS) Lipid-lowering therapy Lipid plaques with abundant macrophages Optical coherence tomography (OCT) |
| url | http://www.sciencedirect.com/science/article/pii/S1572100025000031 |
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