IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i16p5654-d394974.html
   My bibliography  Save this article

The Use of Cone Beam CT(CBCT) in Differentiation of True from Mimicking Eagle’s Syndrome

Author

Listed:
  • Miloš Tijanić

    (Department of Oral and Maxillofacial Surgery, School of Medicine and Stomatology, University of Niš, Dr Zoran Đindjić Blvd. 52, 18000 Niš, Serbia)

  • Nikola Burić

    (Department of Oral and Maxillofacial Surgery, School of Medicine and Stomatology, University of Niš, Dr Zoran Đindjić Blvd. 52, 18000 Niš, Serbia)

  • Kristina Burić

    (Intern, School of Stomatology, University of Niš, Dr Zoran Đindjić Blvd. 52, 18000 Niš, Serbia)

Abstract

Differentiation of true from mimicking Eagle’s syndrome based on conventional radiography is difficult; however, cone beam computed tomography (CBCT) images can contribute to proper diagnosis of mimicking Eagle’s syndrome. The aim was to study radiological images of a 37-year old female patient (patient #1), with chronic cervicofacial pain who underwent radiological diagnosis with a conventional panoramic machine; another 75-year old male patient (patient #2), with chronic oropharyngeal pain, underwent a radiological diagnosis with the CBCT machine, with a field of a view of 16 × 12 cm. Exposure factors were 120 kVp, 7 mA, with a 20 s exposure time of acquisition. The results show a panoramic image (patient #1) with a pathologically elongated styloid process 46 mm of length, which was surgically removed, releasing the patient from further pain episodes. CBCT acquisition (patient #2) showed an impacted left maxillary canine in the edentulous maxilla and a peculiar elongation of both stylohyoid complexes as impressive, “collar-like”, bilateral, elongated, multiple segmented, calcified stylohyoid complexes, without pressure on the vital neurovascular neck structures, mimicking true Eagle’s syndrome. The impacted maxillary canine was surgically extracted with a subsequent resolution of pain episodes and the cessation of neurological complaints. The conclusions suggest that the use of CBCT images can contribute to differentiating mimicking from true Eagle’s syndrome, which has been rarely reported in the literature.

Suggested Citation

  • Miloš Tijanić & Nikola Burić & Kristina Burić, 2020. "The Use of Cone Beam CT(CBCT) in Differentiation of True from Mimicking Eagle’s Syndrome," IJERPH, MDPI, vol. 17(16), pages 1-11, August.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5654-:d:394974
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/16/5654/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/16/5654/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5654-:d:394974. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.