Evidence map›Paper›PMID 42189224›Full record

ArticleSurgical and radiologic anatomy : SRA2026

High-resolution intraoral ultrasonography of the intrinsic tongue muscles: detailed anatomical visualization.

Hyun-Ju Ji, Yu-Ran Heo, Jiong-Zhen Piao, Young-Chun Gil, Kyung-Seok Hu, Hee-Jin Kim

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Article in Surgical and radiologic anatomy : SRA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Hyun-Ju JiDivision in Anatomy and Developmental Biology, Department of Oral Biology, Yonsei University College of Dentistry, Seoul, South Korea.ORCID http://orcid.org/0009-0009-9965-4138
Yu-Ran HeoDivision in Anatomy and Developmental Biology, Department of Oral Biology, Yonsei University College of Dentistry, Seoul, South Korea.ORCID http://orcid.org/0000-0002-0170-7847
Jiong-Zhen PiaoDivision in Anatomy and Developmental Biology, Department of Oral Biology, Yonsei University College of Dentistry, Seoul, South Korea.ORCID http://orcid.org/0000-0001-8071-6217
Young-Chun GilDepartment of Anatomy, Chungbuk National University School of Medicine, Cheongju, South Korea.ORCID http://orcid.org/0000-0002-1677-0267
Kyung-Seok HuDivision in Anatomy and Developmental Biology, Department of Oral Biology, Yonsei University College of Dentistry, Seoul, South Korea.ORCID http://orcid.org/0000-0002-9048-3805
Hee-Jin KimDivision in Anatomy and Developmental Biology, Department of Oral Biology, Yonsei University College of Dentistry, Seoul, South Korea. hjk776@yuhs.ac.ORCID http://orcid.org/0000-0002-1139-6261

Funding

National Research Foundation of Korea NRF-RS-2024-00406281
6 · The paper itself

Abstract

purposeThe tongue plays a key role in speech and swallowing, and its intrinsic muscles enable fine coordinated movements. High-resolution ultrasonography is a non-invasive method that allows detailed visualization of tongue structures and blood vessels. This study investigated the morphology of the intrinsic tongue muscles and deep lingual artery by correlating the high-resolution intraoral ultrasonography with known anatomical structures.

methodsUltrasonographic examinations were performed on 33 Korean adults (6 males and 27 females; mean age: 34.9 ± 12.3 years) using a B-mode system with a 15 MHz hockey-stick transducer. Five predefined areas on the dorsal and lateral tongue surfaces were systematically scanned. A total of 182 images were acquired to evaluate intrinsic tongue structures and the deep lingual artery. Muscle visualization rates were summarized descriptively, and Fisher's exact test was used to examine age-related differences in visualization status.

resultsThe intrinsic tongue muscles (superior longitudinal, transverse lingual, vertical lingual, and inferior longitudinal muscles) were distinctly visualized in layered structure from surface inward. Muscle separation was clear on the dorsal surface, though vertical and transverse lingual muscles appeared in the same layer. Visualization detail decreased slightly in the tongue tip and lateral regions. The deep lingual artery was identified in 70.6% of participants, primarily in the anterior tongue, at a mean depth of 0.9 cm (range, 0.6-1.2 cm). An age-related trend toward lower visibility of the right vertical lingual muscle was observed in older participants (P = 0.123).

conclusionHigh-resolution intraoral ultrasonography successfully provided detailed, anatomically consistent visualization of intrinsic tongue muscles and the deep lingual artery, supporting its utility for both clinical assessment and educational purposes.

Indexed as

TongueAdultFemaleHumansMaleMiddle AgedUltrasonographyYoung AdultDeep lingual arteryHigh-resolution intraoral ultrasonographyInferior longitudinal muscleSuperior longitudinal muscleTransverse lingual muscleVertical lingual muscle

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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.