{"doi":"10.1002/ohn.1000","title":"Validation of a 3D‐Printed Silicone‐Based Laryngeal Model for Resident Education","abstract":"OBJECTIVE: We sought to validate a laryngeal simulation model and subsequently demonstrate its efficacy in improving surgical technique. STUDY DESIGN: Pre-post interventional study. SETTING: Otolaryngology Program at a Tertiary Care Center. METHODS: A low-cost, high-fidelity laryngeal model was created using a 3-dimensional-printed cast and multilayered silicone to mimic vocal fold lesions. Participants (attendings and trainees) were first given a series of tasks including mucosal vocal fold lesion resection and microflap excision of a submucosal lesion. Trainees were then provided with an instructional video from a laryngologist and asked to repeat the same tasks on the model. Performance data was then assessed using validated surveys and blinded expert reviewers. RESULTS: Eighteen participants completed the simulation. All subjects agreed that the \"simulation experience was useful\" and 93% agreed \"the simulator helped improve my ability to do microsurgical tasks.\" In the postinstruction self-evaluation, trainees reported a significant decrease in mental demand (95% confidence interval [CI]: 0.37-0.91; P = .038) and significant increase in subjective performance (95% CI: 1.51-51.89; P = .016) compared to the preinstruction self-evaluation. On the postinstruction attempt, there was a significant improvement in all domains of the adapted objective structured assessment of technical skills as measured by 3 blinded, expert reviewers. DISCUSSION: This study demonstrates the usefulness of a silicone larynx model and the value of instructional video in developing laryngeal microsurgical skills. Participants positively reviewed the laryngeal model and trainees saw both a subjective and objective improvement indicating tangible operative benefits from the use of this laryngeal simulation.","journal":"Otolaryngology","year":2024,"id":472039,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9232,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1307186,"name":"Benjamin T. Ostrander","orcid":"0000-0002-8187-8557","position":1,"is_corresponding":false},{"id":1307187,"name":"Jui‐Te Lin","orcid":"0000-0002-1897-9144","position":2,"is_corresponding":false},{"id":721042,"name":"Ariadne A. Nichol","orcid":"0000-0001-9174-9671","position":3,"is_corresponding":false},{"id":1102527,"name":"Andrew M. Vahabzadeh‐Hagh","orcid":"0000-0002-3973-4023","position":4,"is_corresponding":false},{"id":1307188,"name":"Daniel J. Cates","orcid":"0000-0001-8016-6091","position":5,"is_corresponding":false},{"id":1307189,"name":"Tania K. Morimoto","orcid":"0000-0001-5319-8995","position":6,"is_corresponding":false},{"id":1233144,"name":"Philip A. Weissbrod","orcid":"0000-0001-7977-6925","position":7,"is_corresponding":false},{"id":946470,"name":"Andrew Yousef","orcid":"0000-0002-3126-1655","position":0,"is_corresponding":true}],"reference_count":35,"raw_metadata":null,"created_at":"2026-07-19T02:05:53.032464Z","pmid":"39353145","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}