Imaging Science in Dentistry

  • 제54권1호
  • /
  • Pages.57-62
  • /
  • 2024
  • /
  • 2233-7822(pISSN)
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  • 2233-7830(eISSN)
대한영상치의학회 (Korean Academy of Oral and Maxillofacial Radiology)
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An atypical case involving real, ghost, and pseudo-ghost images on a panoramic radiograph

  • Jong-Won Kim (Department of Oral and Maxillofacial Radiology, School of Dentistry, Chosun University) ;
  • Yo-Seob Seo (Department of Oral and Maxillofacial Radiology, School of Dentistry, Chosun University)
  • 투고 : 2023.11.28
  • 심사 : 2023.12.13
  • 발행 : 2024.03.31
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초록

Purpose: This report presents a unique case featuring real, ghost, and pseudo-ghost images on the panoramic radiograph of a patient wearing earrings. It also explains the formation of these images in an easy-to-understand manner. Materials and Methods: One real image and two ghost images appeared on each side of a panoramic radiograph of a patient wearing earrings on both sides. Of the two ghost images on each side, one was considered a typical ghost image and the other was considered a ghost-like real image (pseudo-ghost image). The formation zones of the real, double, and ghost images were examined based on the path and angles of the X-ray beam from the Planmeca ProMax. To simulate the pseudo-ghost and typical ghost images on panoramic radiography, a radiopaque marker was affixed to the right mandibular condyle of a dry mandible, and the position of the mandible was adjusted accordingly. Results: The center of rotation of the Planmeca ProMax extended beyond the jaw area, and the area of double image formation also reached beyond the jaw. The radiopaque-marked mandibular condyle, situated in the outwardly extending area of double image formation, exhibited triple images consisting of real, double (pseudo-ghost), and ghost images. These findings helped to explain the image formation associated with the patient's earrings observed in the panoramic radiograph. Conclusion: Dentists must understand the characteristics and principles of the panoramic equipment they use and apply this understanding to taking and interpreting panoramic radiographs.

키워드

과제정보

This study was supported by research funding from Chosun University Dental Hospital, 2022.

참고문헌

  1. Faculty council of Korean association of oral and maxillofacial radiology. Oral and maxillofacial radiology. 5th ed. Seoul: Narae Pub Inc; 2015. p. 199-219.
  2. Mallya SM, Lam EWN. White and Pharoah's oral radiology: principles and interpretation. 8th ed. St. Louis: Elsevier; 2019. p. 132-50.
  3. Food and Drug Administration (FDA). The selection of patients for dental radiographic examinations. USA: FDA; c2023 [cited 2023 Nov 22]. Available from: https://www.fda.gov/radiation-emitting-products/medical-x-ray-imaging/selection-patients-dental-radiographic-examinations.
  4. Venkatraman S, Gowda JS, Kamarthi N. Unusual ghost image in a panoramic radiograph. Dentomaxillofac Radiol 2011; 40: 397-9. https://doi.org/10.1259/dmfr/63151190
  5. Sams CM, Dietsche EW, Swenson DW, DuPont GJ, Ayyala RS. Pediatric panoramic radiography: techniques, artifacts, and interpretation. Radiographics 2021; 41: 595-608. https://doi.org/10.1148/rg.2021200112
  6. Harvey S, Ball F, Brown J, Thomas B. 'Non-standard' panoramic programmes and the unusual artefacts they produce. Br Dent J 2017; 223: 248-52. https://doi.org/10.1038/sj.bdj.2017.707
  7. Monsour PA, Mendoza AR. Panoramic ghost images as an aid in the localization of soft tissue calcifications. Oral Surg Oral Med Oral Pathol 1990; 69: 748-56. https://doi.org/10.1016/0030-4220(90)90361-U
  8. Yeom HG, Kim JE, Huh KH, Yi WJ, Heo MS, Lee SS, et al. Development of a new ball-type phantom for evaluation of the image layer of panoramic radiography. Imaging Sci Dent 2018; 48: 255-9. https://doi.org/10.5624/isd.2018.48.4.255
  9. Seo YS, Yu SK. Thermoluminescent dosimetry of panoramic radiography. Oral Biol Res 2021; 45: 22-8. https://doi.org/10.21851/obr.45.01.202103.22
  10. Celik B, Savastaer EF, Kaya HI, Celik ME. The role of deep learning for periapical lesion detection on panoramic radiographs. Dentomaxillofac Radiol 2023; 52: 20230118.
  11. Song IS, Shin HK, Kang JH, Kim JE, Huh KH, Yi WJ, et al. Deep learning-based apical lesion segmentation from panoramic radiographs. Imaging Sci Dent 2022; 52: 351-7. https://doi.org/10.5624/isd.20220078
  12. Abdalla-Aslan R, Yeshua T, Kabla D, Leichter I, Nadler C. An artificial intelligence system using machine-learning for automatic detection and classification of dental restorations in panoramic radiography. Oral Surg Oral Med Oral Pathol Oral Radiol 2020; 130: 593-602. https://doi.org/10.1016/j.oooo.2020.05.012