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Bioengineering
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Advancements in Computational Modelling and Imaging Techniques for Personalised Treatment...
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Advancements in Computational Modelling and Imaging Techniques for Personalised Treatment of Aortic Aneurysms

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 1002

Special Issue Editors

Dr. José Xavier

E-Mail Website
Guest Editor
Department of Mechanical and Industrial Engineering, Faculty of Sciences and Technology, Universidade NOVA de Lisboa, Lisbon, Portugal
Interests: biomechanical engineering; CFD; cardiovascular diseases modeling
Special Issues, Collections and Topics in MDPI journals
Dr. Simona Celi

E-Mail Website
Guest Editor
Gabriele Monasterio Foundation, Pisa, Italy
Interests: vascular diseases; aneurysm; finite element method; computational fluid dynamics; biomechanics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The diagnosis and treatment of cardiovascular diseases, such as aortic aneurysms, have evolved significantly over the last few decades. Advances in surgical techniques and functional imaging have transformed modern clinical medicine, resulting in substantial social and economic impacts. This Special Issue aims to encompass the development of in silico modeling, computational fluid–structure interaction frameworks, advanced imaging techniques for monitoring tissue deformation, and the integration of clinical and imaging data to enhance the diagnosis and treatment planning of aortic aneurysms. We welcome contributions that explore novel computational models, experimental methodologies, and clinical applications to improve the understanding and management of thoracic aortic aneurysms. Additionally, submissions may cover research on uncertainty quantification, model validation, and the development of digital tools for patient-specific hemodynamic analysis. The ultimate goal of this Special Issue is to enhance clinical decision making and improve patient outcomes for this complex disease.

Dr. José Xavier
Dr. Simona Celi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cardiovascular diseases
  • silico modelling
  • computational fluid–structure interaction frameworks
  • advanced imaging techniques

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Published Papers (1 paper)

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Research

11 pages, 1085 KiB  
Article
Can the Novel Photon-Counting CT Scan Accurately Predict Aortic Wall Thickness? Preliminary Results
by Alessandra Sala, Carlo de Vincentiis, Francesco Grimaldi, Barbara Rubino, Manuela Cirami, Noemi Perillo, Renato Vitale, Rosanna Cardani, Sara Boveri, Michele Conti and Pietro Spagnolo
Bioengineering 2025, 12(3), 306; https://doi.org/10.3390/bioengineering12030306 - 18 Mar 2025
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Abstract
Background: Surgical indication of ascending thoracic aortic aneurysms (ATAA) is generally performed in prevention. Guidelines use aortic diameter as a predictor of rupture and dissection; however, this single parameter alone has a limited value in predicting the real-world risk of acute aortic syndromes. [...] Read more.
Background: Surgical indication of ascending thoracic aortic aneurysms (ATAA) is generally performed in prevention. Guidelines use aortic diameter as a predictor of rupture and dissection; however, this single parameter alone has a limited value in predicting the real-world risk of acute aortic syndromes. The novel photon-counting CT scan(pc-CT) is capable of better-analyzing tissue composition and aortic characterization. The aim of the study is to assess whether the correlation between aortic wall thickness measured with a pc-CT scan and histology exists. Methods: 14 Patients, with a mean age of 47 years, undergoing cardiac surgery for ATAA, who had preoperatively undergone a pc-CT scan, were retrospectively analyzed. Histology analyses of the resected aortic wall aneurysm were reviewed, and minimum/maximum measurements of intima+media of the aortic wall were performed. Radiology images were also examined, and aortic wall thickness measures were taken. Bland-Altman plots and Passing-Bablock regression analyses were conducted to evaluate the correlation between the values. Results: pc-CT scan mean measurements were 1.05 and 1.69 mm, minimum/maximum, respectively. Mean minimum/maximum histology measurements were 1.66 and 2.82 mm, respectively. Bland Altman plots and Passing-Bablock regression analyses showed the absence of systematic bias and confirmed that measurement values were sufficiently similar (minimum −0.61 [CI 95% 0.16–1.38]; maximum −1.1 [0.73–2.99]). Conclusions: Despite results being merely preliminary, our study shows encouraging sufficiently similar results between aortic wall thickness measurements made with pc-CT scan and histology analyses. Full article
(This article belongs to the Special Issue Advancements in Computational Modelling and Imaging Techniques for Personalised Treatment of Aortic Aneurysms)
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