In Vivo Diagnostic Accuracy of Innovative Photo-Analysis Software and Digital Spectrophotometer Compared With Visual Technique in Resin Composite Shade Matching
In Vivo Diagnostic Accuracy of Innovative Photo-Analysis Software and Digital Spectrophotometer Compared With Visual Technique in Resin Composite Shade Matching
This study aims to assess the agreement between new computer software using dental photographs, digital spectrophotometer and the visual technique, in achieving accurate resin composite shade matching.
Custom composite resin shade tabs are fabricated and catalogued to serve as reference standards during shade matching.
Teeth are professionally cleaned on dental chair using a nylon prophylaxis brush with polishing paste to ensure complete removal of extrinsic stains and to reveal the native tooth color.
Participants will be seated on an adjustable chair in an upright posture, with the head oriented perpendicular to the floor and be stabilized by a headrest. The chair will be positioned against a matte white wall adjacent to a clear window to standardize a neutral background and exploit consistent daylight illumination.
Patients will be instructed to maintain an upright head posture with the interpupillary line parallel to the floor. All measurements will be performed under daylight, while extraneous light sources and environmental interferences to be minimized.
The Photo is firstly captured with a Nikon D3400 DSLR crop-frame camera (Nikon Corp) mounted on a stable tripod to avoid movements during capturing the photo and set the proper angulation and parallelism. All camera parameters will be standardized.
The program establishes a pixel-to-metric conversion scale (cm) from known distances and overlays orthogonal reference axes to fix landmark orientation and reproducible measurement geometry. Using these guides, tooth height and width are annotated, and the region of interest is consistently defined at the central area of the middle third of the labial crown of either the tooth or shade tabs.
Candidate shades are then quantitatively compared to the region of interest by computing CIEDE2000 color-difference values (ΔE₀₀), which incorporate corrections for lightness, chroma, and hue; the final selected shade is the one yielding the smallest ΔE₀₀.
Where: ΔL', ΔC', ΔH' are the lightness, chroma, and hue differences in the CIEDE2000 framework; SL, SC, SH are weighting functions; kL, kC, kH are parametric factors (set to 1 unless otherwise justified); and RT is the rotation term accounting for interaction between chroma and hue differences.
Agreement between their own assessments and between the other assessors' assessments, as well as the extent of their discrepancies, is quantified using kappa test.
Inclusion Criteria:
Exclusion Criteria:
ahmed.msaleh@must.edu.eg+201147965014
dr.esraaism@gmail.com+201111103836
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