AI-Based Working Length Determination in Curved Root Canals
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorAlanya Alaaddin Keykubat University
About this trial
This study tests whether artificial intelligence (AI) can accurately measure the length of curved root canals from dental x-rays. Curved root canals are hard to measure correctly, and wrong measurements can lower the success of root canal treatment.
Adults over 18 years old who need root canal treatment can take part. Researchers will use x-rays taken during the patient's normal treatment. No extra x-rays, procedures, or visits are needed. An AI program will be trained to measure canal length automatically, and its measurements will be compared to measurements made by a human expert.
The results may show whether AI can measure root canal length faster and more consistently, which could help dentists plan treatment more accurately in the future.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Eligibility Criteria
Age 18 years or older
Presenting for routine root canal treatment at Alanya Alaaddin Keykubat University Faculty of Dentistry
Radiographically identified curved root canal(s)
Disqualifiers
Age under 18 years
Root canals without curvature
Periapical radiographs of insufficient diagnostic quality (e.g., distortion, poor image quality preventing accurate canal length assessment)
Unwillingness to provide informed consent
Trial population
The study population consists of adult patients (18 years and older) presenting for routine root canal treatment at the Department of Endodontics, Alanya Alaaddin Keykubat University Faculty of Dentistry, who have radiographically identified curved root canals. No sex-based restriction is applied. Periapical radiographs obtained during the working length confirmation stage of standard clinical care will be used; no additional radiographic exposure or procedure will be performed for research purposes.
Trial design
Design model
Other
Time perspective
Cross-sectional
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
Sensitivity of AI Model in Detecting Curved Root Canal Length
Agreement between the AI-predicted root canal length and the length determined by a human observer on periapical radiographs, assessed by sensitivity, calculated as TP/(TP+FN), where TP (true positive) represents the overlapping region between the ground truth and predicted segmentation, and FN (false negative) represents the region present in the ground truth but not in the prediction.
Time frame
Measured once, at the time of model testing following completion of radiograph collection (estimated 12 months from study initiation)2
Precision of AI Model in Detecting Curved Root Canal Length
Agreement between the AI-predicted root canal length and the length determined by a human observer on periapical radiographs, assessed by precision, calculated as TP/(TP+FP), where FP (false positive) represents the region present in the prediction but not in the ground truth.
Time frame
Measured once, at the time of model testing following completion of radiograph collection (estimated 12 months from study initiation)3
F1 Score of AI Model in Detecting Curved Root Canal Length
F1 score of the AI-predicted root canal segmentation compared to ground truth on periapical radiographs, calculated as 2TP/(2TP+FP+FN), representing the harmonic mean of precision and sensitivity and interpreting the overlap between the ground truth and predicted pixels.
Time frame
Measured once, at the time of model testing following completion of radiograph collection (estimated 12 months from study initiation)4
Intersection over Union (IoU) of AI Model in Detecting Curved Root Canal Length
Intersection over Union between the AI-predicted root canal segmentation and the ground truth segmentation on periapical radiographs, calculated as TP/(TP+FN+FP), representing the overlapping area between the predicted result and the ground truth segmentation area.
Time frame
Measured once, at the time of model testing following completion of radiograph collection (estimated 12 months from study initiation)Locations
Sponsors and contacts
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Source ClinicalTrials.gov
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