The application of Photodynamic (PDT) for malignant pleural mesothelioma (MSM) is complex due to post-surgery alteration. To address this issue of calculating dose for complex anatomical geometries, our study utilized advanced digital technologies to construct and analyze 3D models of the human lung pleural cavity. This study aims to support a translational model that will eventually enhance PDT dose delivery while minimizing effects on surrounding healthy tissues. The pleural cavity geometries were digitally extracted from medical CT scans, transformed into stereolithography (STL) files, and 3D-printed using acrylic resins. Three volumes corresponding to small, medium, and large patient sizes were prepared. Each model was asymmetrically coated with non-reflective adhesive paper to mimic realistic conditions. Data capture utilized a single handheld scanning device operating at distances to accommodate generalized and refined detail capture. This approach enabled the precise capture of internalized cavity shapes and critical asymmetries. Medical CT validated all 3D printed models. The results confirmed the precise generation and capture of multiple asymmetric 3D human cavity models in actual size. The proposed workflow shows potential for clinicians to accurately map post-surgical pleural cavity changes, thereby improving PDT light dose delivery. This could enhance treatment efficacy and patient outcomes, underlining the potential of digital technology in advancing precision oncology and integration into future clinical practice.
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