Three-dimensional printing of the human lung pleural cavity model for PDT malignant mesothelioma
•Advanced 3D modeling of the pleural cavity refines MPM-PDT dosimetric precision.•Comparative analysis of 3D prints with CT imaging ensures anatomical fidelity.•Optical scanning protocols instituted for dynamic dosimetry in PDT.•3D models validated as potent tools for oncology education and equipmen...
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Veröffentlicht in: | Photodiagnosis and photodynamic therapy 2024-04, Vol.46, p.104014-104014, Article 104014 |
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Sprache: | eng |
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Zusammenfassung: | •Advanced 3D modeling of the pleural cavity refines MPM-PDT dosimetric precision.•Comparative analysis of 3D prints with CT imaging ensures anatomical fidelity.•Optical scanning protocols instituted for dynamic dosimetry in PDT.•3D models validated as potent tools for oncology education and equipment calibration.•Investigated machine learning's role in predictive dosimetry for personalized therapy.
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).
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.
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.
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.
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ISSN: | 1572-1000 1873-1597 |
DOI: | 10.1016/j.pdpdt.2024.104014 |