Three-dimensional printing of the human lung pleural cavity model for PDT malignant mesothelioma.

Autor: Sourvanos D; Department of Periodontics, School of Dental Medicine, University of Pennsylvania, PA, USA; Center for Innovation and Precision Dentistry (CiPD), School of Dental Medicine, School of Engineering, University of Pennsylvania, PA, USA. Electronic address: DSourvan@upenn.edu., Sun H; Department of Radiation Oncology, Perelman Center for Advanced Medicine, University of Pennsylvania, PA, USA., Zhu TC; Department of Radiation Oncology, Perelman Center for Advanced Medicine, University of Pennsylvania, PA, USA., Dimofte A; Department of Radiation Oncology, Perelman Center for Advanced Medicine, University of Pennsylvania, PA, USA., Byrd B; Department of Radiation Oncology, Perelman Center for Advanced Medicine, University of Pennsylvania, PA, USA., Busch TM; Department of Radiation Oncology, Perelman Center for Advanced Medicine, University of Pennsylvania, PA, USA., Cengel KA; Department of Radiation Oncology, Perelman Center for Advanced Medicine, University of Pennsylvania, PA, USA., Neiva R; Department of Periodontics, School of Dental Medicine, University of Pennsylvania, PA, USA., Fiorellini JP; Department of Periodontics, School of Dental Medicine, University of Pennsylvania, PA, USA.
Jazyk: angličtina
Zdroj: Photodiagnosis and photodynamic therapy [Photodiagnosis Photodyn Ther] 2024 Apr; Vol. 46, pp. 104014. Date of Electronic Publication: 2024 Feb 10.
DOI: 10.1016/j.pdpdt.2024.104014
Abstrakt: Objective: The primary aim was to investigate emerging 3D printing and optical acquisition technologies to refine and enhance photodynamic therapy (PDT) dosimetry in the management of malignant pleural mesothelioma (MPM).
Materials and Methods: A rigorous digital reconstruction of the pleural lung cavity was conducted utilizing 3D printing and optical scanning methodologies. These reconstructions were systematically assessed against CT-derived data to ascertain their accuracy in representing critical anatomic features and post-resection topographical variations.
Results: The resulting reconstructions excelled in their anatomical precision, proving instrumental translation for precise dosimetry calculations for PDT. Validation against CT data confirmed the utility of these models not only for enhancing therapeutic planning but also as critical tools for educational and calibration purposes.
Conclusion: The research outlined a successful protocol for the precise calculation of light distribution within the complex environment of the pleural cavity, marking a substantive advance in the application of PDT for MPM. This work holds significant promise for individualizing patient care, minimizing collateral radiation exposure, and improving the overall efficiency of MPM treatments.
Competing Interests: Declaration of competing interest TMB reports other support from Simphotek and personal fees from Lumeda and IBA outside the submitted work. Author KC reports other support from Simphotek.
(Copyright © 2024. Published by Elsevier B.V.)
Databáze: MEDLINE
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