Abstract
Abstract Photodynamic diagnostic (PDD) is an optical enhancement option for the endoscope to support the detection of cancer, for example in the bladder. In real application PDD efficiency suffers due to the complex accumulation of the photosensitizing drug inside the tumor and the associated processes of heme syntheses to create the fluorescent components needed. To optimize the diagnostic outcome of PDD it would be helpful to predict the optimal time for diagnosis based on measurable precursors. In a previous cell study, we proposed a new filter fluorometer to image the accumulation of the precursors Coproporphyrin III (CP-III) and Uroporphyrin III (UP-III) that metabolize to Protoporphyrin IX (PP-IX) later. This accumulation process can be used to predict the optimal time slot for diagnostic imaging. Therefore, a new filter system was designed to distinguish between CP-III and PP-IX. In this work we tested this filter system in combination with a standard PDD endoscopic imaging system. Goal of this study was to prove the technical feasibility in a non-patient setup to prepare a later clinical study.
Highlights
Photodynamic diagnosis (PDD) is an enhancement approach used in endoscopic procedures to increase the detection rate of cancer cells
The metabolic process creates two more porphyrins as precursors, Coproporphyrin III (CP-III) and Uroporphyrin III (UP-III) that appear before the highest presence of Protoporphyrin IX (PP-IX)
In this work we describe the first tests of this new filter system in a clinical environment and in combination with the real PDD equipment as a preparation of a later clinical study on patients
Summary
Photodynamic diagnosis (PDD) is an enhancement approach used in endoscopic procedures to increase the detection rate of cancer cells. One application is the detection of non-muscle-invasive cancer (NMIBC) of the urinary bladder. The metabolic process creates two more porphyrins as precursors, Coproporphyrin III (CP-III) and Uroporphyrin III (UP-III) that appear before the highest presence of PP-IX. These precursors can serve as indicators to predict the optimal time slot for PDD. This can lead to a higher efficacy of PDD
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