Quantitative Detection of Pericardial Adhesions Using Four-Dimensional Computed Tomography: A Novel Motion-Based Analysis Framework
Objective: Pericardial adhesions can unexpectedly occur prior to cardiac surgery or catheter ablation, even in patients without known risk factors, potentially increasing procedural risks. This study proposed and validated a novel, quantitative, and noninvasive method for detecting pericardial adhes...
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MDPI AG
2025-02-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/12/3/224 |
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| author | Tong Ren Shuo Wang Nan Cheng Zekun Feng Menglu Li Li Zhang Rong Wang |
| author_facet | Tong Ren Shuo Wang Nan Cheng Zekun Feng Menglu Li Li Zhang Rong Wang |
| author_sort | Tong Ren |
| collection | DOAJ |
| description | Objective: Pericardial adhesions can unexpectedly occur prior to cardiac surgery or catheter ablation, even in patients without known risk factors, potentially increasing procedural risks. This study proposed and validated a novel, quantitative, and noninvasive method for detecting pericardial adhesions using four-dimensional computed tomography (4D CT). Methods: We evaluated preoperative 4D CT datasets from 20 patients undergoing cardiac surgery with and without pericardial adhesions. Our novel approach integrates expert-guided pericardial segmentation, symmetric diffeomorphic registration, and motion disparity analysis. The method quantifies tissue motion differences by computing the displacement fields between the pericardium and epicardial adipose tissue (EAT), with a particular focus on the left anterior descending (LAD) region. Results: Statistical analysis revealed significant differences between adhesion and non-adhesion groups (<i>p</i> < 0.01) using two newly developed metrics: peak ratio (PR) and distribution width index (DWI). Adhesion cases demonstrated characteristic high PR values (>100) with low DWI values (<0.3), while non-adhesion cases showed moderate PR values (<50) with higher DWI values (>0.4). Conclusions: This proof-of-concept study validated a novel quantitative framework for assessing pericardial adhesions using 4D CT imaging and provides an objective and computationally efficient tool for preoperative assessment in clinical settings. These findings suggest the potential clinical utility of this framework in surgical planning and risk assessment. |
| format | Article |
| id | doaj-art-a52d7ece02d14efd926054f959e7fc7c |
| institution | OA Journals |
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| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
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| series | Bioengineering |
| spelling | doaj-art-a52d7ece02d14efd926054f959e7fc7c2025-08-20T02:11:21ZengMDPI AGBioengineering2306-53542025-02-0112322410.3390/bioengineering12030224Quantitative Detection of Pericardial Adhesions Using Four-Dimensional Computed Tomography: A Novel Motion-Based Analysis FrameworkTong Ren0Shuo Wang1Nan Cheng2Zekun Feng3Menglu Li4Li Zhang5Rong Wang6Department of Adult Cardiac Surgery, Senior Department of Cardiology, The Six Medical Center of PLA General Hospital, Fucheng Road, Haidian District, Beijing 100048, ChinaKey Laboratory of Particle and Radiation Imaging, Department of Engineering Physics, Ministry of Education, Tsinghua University, Beijing 100084, ChinaDepartment of Adult Cardiac Surgery, Senior Department of Cardiology, The Six Medical Center of PLA General Hospital, Fucheng Road, Haidian District, Beijing 100048, ChinaDepartment of Adult Cardiac Surgery, Senior Department of Cardiology, The Six Medical Center of PLA General Hospital, Fucheng Road, Haidian District, Beijing 100048, ChinaDepartment of Diagnostic Radiology, The Six Medical Center of PLA General Hospital, Fucheng Road, Haidian District, Beijing 100048, ChinaKey Laboratory of Particle and Radiation Imaging, Department of Engineering Physics, Ministry of Education, Tsinghua University, Beijing 100084, ChinaDepartment of Adult Cardiac Surgery, Senior Department of Cardiology, The Six Medical Center of PLA General Hospital, Fucheng Road, Haidian District, Beijing 100048, ChinaObjective: Pericardial adhesions can unexpectedly occur prior to cardiac surgery or catheter ablation, even in patients without known risk factors, potentially increasing procedural risks. This study proposed and validated a novel, quantitative, and noninvasive method for detecting pericardial adhesions using four-dimensional computed tomography (4D CT). Methods: We evaluated preoperative 4D CT datasets from 20 patients undergoing cardiac surgery with and without pericardial adhesions. Our novel approach integrates expert-guided pericardial segmentation, symmetric diffeomorphic registration, and motion disparity analysis. The method quantifies tissue motion differences by computing the displacement fields between the pericardium and epicardial adipose tissue (EAT), with a particular focus on the left anterior descending (LAD) region. Results: Statistical analysis revealed significant differences between adhesion and non-adhesion groups (<i>p</i> < 0.01) using two newly developed metrics: peak ratio (PR) and distribution width index (DWI). Adhesion cases demonstrated characteristic high PR values (>100) with low DWI values (<0.3), while non-adhesion cases showed moderate PR values (<50) with higher DWI values (>0.4). Conclusions: This proof-of-concept study validated a novel quantitative framework for assessing pericardial adhesions using 4D CT imaging and provides an objective and computationally efficient tool for preoperative assessment in clinical settings. These findings suggest the potential clinical utility of this framework in surgical planning and risk assessment.https://www.mdpi.com/2306-5354/12/3/224pericardial adhesions4D CTepicardial adipose tissuecardiac surgerymotion quantification |
| spellingShingle | Tong Ren Shuo Wang Nan Cheng Zekun Feng Menglu Li Li Zhang Rong Wang Quantitative Detection of Pericardial Adhesions Using Four-Dimensional Computed Tomography: A Novel Motion-Based Analysis Framework Bioengineering pericardial adhesions 4D CT epicardial adipose tissue cardiac surgery motion quantification |
| title | Quantitative Detection of Pericardial Adhesions Using Four-Dimensional Computed Tomography: A Novel Motion-Based Analysis Framework |
| title_full | Quantitative Detection of Pericardial Adhesions Using Four-Dimensional Computed Tomography: A Novel Motion-Based Analysis Framework |
| title_fullStr | Quantitative Detection of Pericardial Adhesions Using Four-Dimensional Computed Tomography: A Novel Motion-Based Analysis Framework |
| title_full_unstemmed | Quantitative Detection of Pericardial Adhesions Using Four-Dimensional Computed Tomography: A Novel Motion-Based Analysis Framework |
| title_short | Quantitative Detection of Pericardial Adhesions Using Four-Dimensional Computed Tomography: A Novel Motion-Based Analysis Framework |
| title_sort | quantitative detection of pericardial adhesions using four dimensional computed tomography a novel motion based analysis framework |
| topic | pericardial adhesions 4D CT epicardial adipose tissue cardiac surgery motion quantification |
| url | https://www.mdpi.com/2306-5354/12/3/224 |
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