Article ; Online: The role of anatomic shape features in the prognosis of uncomplicated type B aortic dissection initially treated with optimal medical therapy.
Computers in biology and medicine
2024 Volume 170, Page(s) 108041
Abstract: Objective: Currently, the long-term outcomes of uncomplicated type B aortic dissection (TBAD) patients managed with optimal medical therapy (OMT) remain poor. Aortic expansion is a major factor that determines patient long-term survival. The objective ... ...
Abstract | Objective: Currently, the long-term outcomes of uncomplicated type B aortic dissection (TBAD) patients managed with optimal medical therapy (OMT) remain poor. Aortic expansion is a major factor that determines patient long-term survival. The objective of this study was to investigate the association between anatomic shape features and (i) OMT outcome; (ii) aortic growth rate for TBAD patients initially treated with OMT. Methods: 108 CT images of TBAD in the acute and chronic phases were collected from 46 patients who were initially treated with OMT. Statistical shape models (SSM) of TBAD were constructed to extract shape features from the earliest initial CT scans of each patient by using principal component analysis (PCA) and partial least square (PLS) regression. Additionally, conventional shape features (e.g., aortic diameter) were quantified from the earliest CT scans as a baseline for comparison. We identified conventional and SSM features that were significant in separating OMT "success" and failure patients. Moreover, the aortic growth rate was predicted by SSM and conventional features using linear and nonlinear regression with cross-validations. Results: Size-related SSM and conventional features (mean aortic diameter: p=0.0484, centerline length: p=0.0112, PCA score c Conclusion: Size-related shape features of the earliest scan were correlated with OMT failure but led to large errors in the prediction of the aortic growth rate. SSM features in combination with nonlinear regression could be a promising avenue to predict the aortic growth rate. |
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MeSH term(s) | Humans ; Aortic Aneurysm, Thoracic/surgery ; Endovascular Procedures/adverse effects ; Risk Factors ; Aortic Dissection/diagnostic imaging ; Aortic Dissection/drug therapy ; Retrospective Studies ; Treatment Outcome ; Blood Vessel Prosthesis Implantation | |||||
Language | English | |||||
Publishing date | 2024-01-29 | |||||
Publishing country | United States | |||||
Document type | Journal Article | |||||
ZDB-ID | 127557-4 | |||||
ISSN | 1879-0534 ; 0010-4825 | |||||
ISSN (online) | 1879-0534 | |||||
ISSN | 0010-4825 | |||||
DOI | 10.1016/j.compbiomed.2024.108041 | |||||
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Database | MEDical Literature Analysis and Retrieval System OnLINE |
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