Trial reportBMC medicine2025
Comparison between mixed reality with artificial algorithms and ultrasound in localization of anterior thigh flap perforators: a prospective randomized controlled study.
Trial report in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transfer of technical skills from virtual reality robotic simulation to non-virtual surgical performance: a systematic review and meta-analysis.Journal of robotic surgery · 2026Pooled it
- [Establishment and preliminary clinical validation of an artificial intelligence-assisted perforator identification model for anterolateral thigh perforator flaps based on ICGA videos].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2026Article
- [A brief discussion on microsurgery techniques and free perforator flaps for wound repair].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2026Article
- Implementation of MedicalholodeckHealthcare (Basel, Switzerland) · 2025Article
- [Infrared thermography-assisted design and harvesting of ultrathin anterolateral thigh perforator flaps].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundThis study explores the efficacy of integrating mixed reality (MR) technology with artificial algorithms for locating vessels during anterolateral thigh perforator flap surgeries, comparing it with color Doppler ultrasonography (CDU) to provide clinical insights.
methodsEighty patients were randomly assigned to the MR group or the CDU group, with 40 patients in each. In the MR group, a localization device was attached to the lower limb, and CT angiography (CTA) data were converted into a 3D model. An artificial algorithm matched the device with the 3D model to overlay perforating vessels. The CDU group used traditional preoperative localization. Primary outcomes included the number of identified perforators and the distance between marked and actual vessel exit points. Secondary outcomes were flap harvest time and flap survival.
resultsRecognition rates were 94.3% in the MR group and 82.0% in the CDU group (P = 0.008). The average distance between marked and actual exit points was 1.5 mm vs. 2.7 mm (P < 0.0001). Flap harvest times averaged 52 and 68 min, respectively (P < 0.0001). In the MR group, one flap developed an infection and another necrosis, while in the CDU group, one flap had a crisis, and two experienced necrosis.
conclusionsMixed reality combined with artificial algorithms offers superior vessel localization compared to ultrasound and holds promise for multidisciplinary perforator flap surgeries.
trial registrationThis study was approved by the Ethics Committee of Chongqing University Cancer Hospital (Ethical Approval Number: CZLS2021177-A) and retrospectively registered at the Chinese Clinical Trial Register (registration number: CHiCTR2400087615, date of registration: 2024-07-31).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.