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Radiolucent Lesions of the Jaws: An Attempted Demonstration of the Use of Co-Word Analysis to List Main Similar Pathologies

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  • Andy Wai Kan Yeung

    (Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, University of Hong Kong, Hong Kong, China)

Abstract

(1) Background: Many radiolucent jaw lesions exist, and they often show a radiographic resemblance, rendering diagnosis a challenging act. Closely related lesions should be frequently mentioned together in the academic literature, which might be helpful for junior practitioners in determining their differential diagnosis. The usefulness of bibliometric analysis in this respect has yet to be demonstrated. (2) Methods: This study evaluated academic publications on radiolucent jaw lesions, as indexed by the Web of Science Core Collection database. The mentions of radiolucent jaw lesions were extracted from the complete bibliographic records of the publications, and co-word analyses were conducted with the aid of VOSviewer. (3) Results: Based on 1897 papers, visualization maps were synthesized to evaluate co-occurrences of the radiolucent jaw lesions. Ameloblastoma was frequently mentioned together with odontogenic keratocyst, dentigerous cyst, and radicular cyst. Osseous dysplasia was co-mentioned with osteomyelitis, ossifying fibroma, odontoma, fibrous dysplasia, and apical periodontitis. (4) Conclusions: The co-word analysis, a form of bibliometric analysis, could demonstrate a relatedness of radiolucent jaw lesions that could be considered at differential diagnosis.

Suggested Citation

  • Andy Wai Kan Yeung, 2022. "Radiolucent Lesions of the Jaws: An Attempted Demonstration of the Use of Co-Word Analysis to List Main Similar Pathologies," IJERPH, MDPI, vol. 19(4), pages 1-11, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:1933-:d:745224
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    References listed on IDEAS

    as
    1. Tim Joda & Michael M. Bornstein & Ronald E. Jung & Marco Ferrari & Tuomas Waltimo & Nicola U. Zitzmann, 2020. "Recent Trends and Future Direction of Dental Research in the Digital Era," IJERPH, MDPI, vol. 17(6), pages 1-8, March.
    2. Kuofeng Hung & Andy Wai Kan Yeung & Ray Tanaka & Michael M. Bornstein, 2020. "Current Applications, Opportunities, and Limitations of AI for 3D Imaging in Dental Research and Practice," IJERPH, MDPI, vol. 17(12), pages 1-18, June.
    3. Zhi Xuan Low & Keith A. Yeo & Vijay K. Sharma & Gilberto K. Leung & Roger S. McIntyre & Anthony Guerrero & Brett Lu & Chun Chiang Sin Fai Lam & Bach X. Tran & Long H. Nguyen & Cyrus S. Ho & Wilson W. , 2019. "Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis," IJERPH, MDPI, vol. 16(9), pages 1-22, April.
    4. Ken Maclean, 2006. "Humour of gene names lost in translation to patients," Nature, Nature, vol. 439(7074), pages 266-266, January.
    5. Andy Wai Kan Yeung & Ioana Mozos, 2020. "The Innovative and Sustainable Use of Dental Panoramic Radiographs for the Detection of Osteoporosis," IJERPH, MDPI, vol. 17(7), pages 1-11, April.
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