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Updated: May 13, 2026

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Evaluation of Locally Made Phantom Models for Gynecologic Ultrasound-guided Procedures Simulating Transabdominal and
Melissa D Amosco1, Dionella Jitka B Quinagoran2, Nerissa Unielle D Quenga2
1Department of Obstetrics and Gynecology, Philippine General Hospital, University of the Philippines Manila.
Background And Objectives:
Phantom and simulation models are valuable training tools for teaching and skill enhancement, yet high costs and limitations of commercial options drive the search for alternatives. This study evaluated the locally sourced phantom models developed for transvaginal and transabdominal gynecologic interventional ultrasound procedures, aiming to cater to the educational needs of OB-GYN ultrasound subspecialists.
Methods:
Four phantom models simulating biopsy and cyst aspiration/paracentesis through transvaginal and transabdominal approaches, were developed, and assessed by 37 ultrasound subspecialists in obstetrics and gynecology. The respondents, comprising 19 experienced and 18 with limited exposure to guided procedures, utilized an 11-item Likert-scored questionnaire to evaluate the models' acceptability and suitability for training. Responses were analyzed using descriptive statistics.
Results:
Both experienced and less-experienced groups consistently assigned high scores, particularly highlighting the realistic ultrasound image and positioning of structures. The models proved effective in enhancing confidence and proficiency during simulation-based training for probe manipulation, aspiration, and biopsy procedures. While respondents identified concerns like durability and needle track marks, no significant differences emerged between the two groups in evaluating the model.
Conclusions:
The overall evaluation of the developed phantom model was positive, showcasing its acceptability among end-users and suitability for training ultrasound-guided procedures in obstetrics and gynecology. The identified issues provide valuable insights for potential improvements in future iterations of the model.
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