Analisis radiograf periapikal menggunakan software ImageJ pada granuloma periapikal pada perawatan endodontik

https://doi.org/10.22146/majkedgiind.10472

Ali Thomas(1*), Ria Noerianingsih Firman(2), A. Azhari(3)

(1) Fakultas Kedokteran Gigi Universitas Padjadjaran Bandung
(2) Departemen Radiologi Dentomaksilofasial, Fakultas Kedokteran Gigi, Universitas Padjadjaran, Bandung, Jawa Barat
(3) Departemen Radiologi Dentomaksilofasial, Fakultas Kedokteran Gigi, Universitas Padjadjaran, Bandung, Jawa Barat
(*) Corresponding Author

Abstract


Analysis of periapical radiographs using ImageJ software on periapical granuloma in endodontic treatment. The assessment of the success rate of endodontic treatment on teeth with periapical granuloma is currently still using the conventional method, that is using a viewer as the tool which is then interpreted subjectively by dentist. This may lead to the possibility of signicant differences in the assessment between inter and intra-observers. The objective of this study was to demonstrate the differences in picture and the relationship of lesion size, and the number and size of trabecular particles on periapical granuloma cases before and after endodontic treatment with digitized periapical radiographs using ImageJ software. This study was conducted using observational analysis method. The sample  in this study consisted of 30 data before endodontic treatment and 30 data after endodontic treatment that had been digitized. The results of this study showed a decrease in the average size of periapical granuloma lesions from 16,400 ± 2.2924 mmto 13.860 ± 2.1250 mm2, an increase in the average number of particles from 70.167 ± 7.2258 to 99.733 ± 7.4089 and an increase in the particle size from 14.033 ± 1.4452 mm2 to 19.017 ± 1.4223 mm2. The conclusion of this study is that there are different pictures and relationship between the size of lesions, the number and size of trabecular particles in periapical granuloma cases before and after endodontic treatment through digitized periapical radiographs using ImageJ software.


ABSTRAK

Penilaian tingkat keberhasilan perawatan endodontik pada gigi yang mengalami granuloma periapikal, saat ini masih menggunakan metoda konvensional yaitu dengan menggunakan viewer sebagai alat bantu dan diinterpretasi secara subjektif oleh dokter gigi. Keadaan ini mengakibatkan peluang terjadinya perbedaan penilaian cukup besar secara inter dan intra-observer. Tujuan dari penelitian ini adalah untuk mengetahui perbedaan gambaran dan hubungan nilai luas lesi, jumlah dan luas partikel trabekula pada kasus granuloma periapikal sebelum dan sesudah perawatan endodontik melalui digitalisasi radiograf periapikal menggunakan software ImageJ. Penelitian ini dilakukan dengan menggunakan metode analisis observasional. Sampel yang digunakan dalam penelitian ini terdiri dari 30 data sebelum perawatan endodontik dan 30 data sesudah perawatan endodontik yang telah dilakukan digitalisasi. Hasil penelitian ini adalah terjadi penurunan rata-rata luas lesi granuloma periapikal dari 16.400 ± 2.2924 mm2 menjadi 13.860 ± 2.1250 mm2, peningkatan rata-rata jumlah partikel dari 70.167 ± 7.2258 menjadi 99.733 ± 7.4089 dan peningkatan luas partikel dari 14.033 ± 1.4452 mm2 menjadi 19.017 ± 1.4223 mm2. Simpulan dari penelitian ini adalah terdapat perbedaan gambaran dan hubungan nilai luas lesi, jumlah dan luas partikel trabekula pada kasus granuloma periapikal sebelum dan sesudah perawatan endodontik melalui digitalisasi radiograf periapikal menggunakan software ImageJ.



Keywords


digitized periapical radiographs; periapical granuloma; ImageJ software

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References

Suyambukesan S, Perumal G, Somasundaram E, Pandian NJ, Manigandan T. Analyzing periapical lesions on intraoral periapical radiographs: Incongruity on diagnosis. Journal of Indian Academy of Oral Medicine and Radiology. 2013; 25(1): 5 – 9.
Yang J, Pham SM, Crabbe DL. Effect of estrogen deciency on rat mandibular and tibial microstructure. J Med Oral Patol. Oral Cir. Bucal. 2012; 17(4): 624 – 32.
Carvalho FB, Gonçalves M, Tanomaru-Filho M. Evaluation of chronic periapical lesions by digital subtraction radiography by using Adobe Photoshop CS: A technical report. J Endod. 2007; 33: 493 – 497. Sogur E, Baks BG, Grondahl HG, Hakan SB. Pixel intensity and fractal dimension of periapical lesions visually indiscernible in radiographs. J Endod. 2013; 39: 16 – 19. Hargreaves KM, Cohen S. Cohen’s pathways of the pulp. Edisi ke – 10. Missouri: Mosby; 2011. 552 – 555, 602 – 612.
White P. Oral Radiology Principle and Interpretation. Edisi ke-7. Missouri: Mosby; 2014. 91 – 95, 314 – 318.
Amer ME, Suk HM, Brooks SL, Beavides E. Anatomical variations of trabecular bone structure in intraoral radiographs using fractal and particles count analyses. Imaging Science in Dentistry. 2012; 42: 5-12.
Formmer HH, Stabulas-Savage JJ. Radiology for the dental professional. Edisi ke - 9. St. Louis, Missouri: Elsevier; 2011; 37 – 65.
Whaites E, Drage N. Essentials of dental radiography and radiology. Edisi ke-5. Churchill Livingstone Elsevier; 2013. 45 – 47, 85 – 86.

Ingle JI, Bakland LK, Baumgartner JC. Ingle’s Endodontics. Edisi ke-6. Ontario: BC Decker; 2008: 175 – 198.


MendozaAM, Jiménez CC, LinaresAI, Mendoza BS, Yañez VRM. Endodontic treatment of large periapical lesions: An alternative to surgery. Edorium J Dent. 2015; 2: 1 – 6.


Razavi SM, Kiani S, Khalesi S. periapical lesions: a review of clinical, radiographic and histopathologic features. Avicenna J Dent Res. 2014; 6(1).


Carnerio LS, Nunes CA, Silva MA, Leles CR, Mendoca EF. In vivo study of pixel grey measurement in digital substraction radiography for monitoring caries remineralization. Dentomaxillofacial Radiology. 2009; 38: 73 – 78.


Angerame D, De Biasi M, Sossi D, Marigo L, Castagnola R, Somma F, Castaldo A. Periapical healing after simplifled ebdodontics treatments: A digital substraction radiography study. Giornale Italiano di Endodonzia. 2013; 27: 74 – 79.


Teixeira RC, Rubira CM, Assis GF, Lauris JR, Cestari TM, Rubira IR. Radiological and histopatological evaluation of experimentally induced periapical lesion in rats. Journal Application Oral Science. 2010. Melalui www. scielo.br/jaos (Diakses 9 Desember 2015)


Saeed SS, Ibraheem UM, Alnema MM. Quantitative analysis by pixel intensity and fractal dimensions for imaging diagnosis of periapical lesions. International Journal of Enhanced Research in Science Technology & Engineering. 2014; 138 – 144.


Souto MF, Felipe SMB, Cury SE, Cury MP, Junqueira JC, Manhaes Jr LC. Atypical aggressive periapical granuloma: a case report. Webmed Central Oral Medicine. 2012; 3(1).


Sogur E, Baks BG, Grondahl HG, Hakan SB. Pixel intensity and fractal dimension of periapical lesions visually indiscernible in radiographs. J Endod. 2013; 39: 16 – 19.


Stauber M, Muller R. Age related changes in trabecularbone microstructure: global and lokacal morphometry. J osteoporosis international. 2005; (6): 10 – 25.



DOI: https://doi.org/10.22146/majkedgiind.10472

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