Artificial Intelligence-Enabled Skin Perforator Segmentation
Computer-assisted surgery has revolutionized reconstruction with more efficient, accurate, and predictable surgery, as reported in our previous studies. Skin perforators are vessels that travel through muscles and septa to supply the skin. The identification of skin perforators is crucial for a safe fibula osteocutaneo
| Condition(s) | Microvascular Free Flap Transfer, Fibula Flap |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | Computer-assisted surgery has revolutionized reconstruction with more efficient, accurate, and predictable surgery, as reported in our previous studies. Skin perforators are vessels that travel through muscles and septa to supply the skin. The identification of skin perforators is crucial for a safe fibula osteocutaneous free flap harvest with computer-assisted surgery. Different methods have been proposed in the past, each of which has its own limitations. Traditionally, skin perforators are identified with a Doppler ultrasound. Berrone et al. measured the locations with a Doppler ultrasound and imported the information back to guide virtual surgical planning. However, their study showed imprecise concordance between handheld Doppler measurements and the actual perforator locations; good |
| Who can participate | Inclusion Criteria: 1. Age ≥18 years, both genders; 2. Provided signed and dated informed consent form; 3. Indicated for immediate or secondary reconstructive surgery with osteocutaneous fibula free flap. Exclusion Criteria: 1. Patients who are pregnant; 2. Patients who have medically compromised conditions and cannot tolerate surgery; 3. Patients who are unable to receive pre-operative computed tomography angiogram scans, such as those with iodine allergy; 4. Patients who have anatomical variation preventing the safe harvest of fibula free flap. |
| Ages | 18 Years |
| Sex | All |
| Lead sponsor | The University of Hong Kong |
| Locations | Hong Kong, Hong Kong |
| Start date | 2024-12-01 |
| NCT ID | NCT06634472 |
| Official listing | https://clinicaltrials.gov/study/NCT06634472 |