ArticlePhotodiagnosis and photodynamic therapy2024
Three-dimensional printing of the human lung pleural cavity model for PDT malignant mesothelioma.
Article in Photodiagnosis and photodynamic therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 0 citations in OpenAlex.
- Monte Carlo analysis of light fluence rate distribution in pleural photodynamic therapy: a study of geometric and optical property effects on treatment delivery.Journal of biomedical optics · 2026Article
- Worldwide research on 3D printing for cancer: a dual-method analysis of bibliometrics and stratified focused thematic.International journal of surgery (London, England) · 2026Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveThe 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
methodsA 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.
resultsThe 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.
conclusionThe 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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Registered trials
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