Differential diagnosis of leukoplakia
versus lichen planus of the oral mucosa based
on digital texture analysis in intraoral photography

Jurczyszyn, Kamil; Kozakiewicz, Marcin

doi:10.17219/acem/104524

Cited by 13 publications

(21 citation statements)

References 23 publications

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“…The DTIA procedure was adopted from the literature [ 23 – 26 ] and applied to the gum samples in this study. Each chewed specimen was analysed from both sides, so that the images of both sides of the gum were converted from red, green, and blue (RGB) images ( Fig 1A ) to grayscale (GS) images ( Fig 1B ) by applying Image J software v 1.34s (National Institutes Health, Bethesda, MD, USA).…”

Section: Methodsmentioning

confidence: 99%

“…Digital texture image analysis (DTIA). The DTIA procedure was adopted from the literature [23][24][25][26] and applied to the gum samples in this study. Each chewed specimen was analysed from both sides, so that the images of both sides of the gum were converted from red, green, and blue (RGB) images (Fig 1A Later, the Grey Level Co-Occurrence Matrix (GLCM) algorithms were applied to obtain texture features of the gum images under investigation [23].…”

Section: Clinical Protocol and Image Assessmentmentioning

confidence: 99%

“…The DTIA method was used to evaluate the structure of osteoporotic bone based on a series of images [ 24 ], to follow the periapical bone healing [ 25 ] or differentiate soft tissue lesions [ 26 ]. Also, texture image analysis was used to characterise the impact of chewing on pasta particle size reduction [ 27 ] or food bolus characterisation [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

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The use of digital texture image analysis in determining the masticatory efficiency outcome

et al. 2021

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The mixture level of gum samples consisting of two colours can be assessed visually, using the electronic colorimetric method, employing digital image processing techniques and specially designed software. The study investigates the possibility of an alternative method called “digital texture image analysis” (DTIA) to assess improvement of masticatory efficiency in denture wearers. The objectives were i) to evaluate whether DTIA discriminates changes in the colour mixing ability within a group over time; ii) to determine whether DTIA can be used to detect improvement in chewing ability; iii) to select the most appropriate DTIA feature that sufficiently describes masticatory efficiency in CDs wearers. The study was designed as an intra-individual evaluation of masticatory efficiency, which was assessed in participants with new dentures in three follow-up times. A set of four texture features was used in the current study. Uniformity, Contrast, Homogeneity and Entropy of the obtained chewing-gum samples were correlated to the degree of gum comminution. A statistically significant difference in masticatory efficiency was observed based on the values of the analysed DTIA variables of gum samples—Uniformity, Contrast, Homogeneity, and Entropy—have changed in the participants during the observation period. The improvement of the masticatory function in relation to the mixing ability of two-coloured chewing gum could be traced by monitoring changes in the values of DTIA variables. The most increasement of masticatory efficiency was observed by monitoring DTIA parameters such as contrast, and homogeneity.

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Section: Methodsmentioning

confidence: 99%

Section: Clinical Protocol and Image Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The use of digital texture image analysis in determining the masticatory efficiency outcome

et al. 2021

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“…Due to the determination of the usefulness of the run-length matrix as well as the co-occurrence matrix in digital imaging diagnosis of oral mucosal white lesions, a similar approach was used in this study to evaluate the results of laser treatment of oral leukoplakia [15]. Let p(i,j) be the number of times there is a run of length j having grey level i.…”

Section: Texture Analysismentioning

confidence: 99%

“…Calculations were performed in Mazda 4.6 (Technical University of Lodz, Lodz, Poland) on selected features [15,[18][19][20][21][22].…”

Section: Difference Entropymentioning

confidence: 99%

Application of Texture and Fractal Dimension Analysis to Estimate Effectiveness of Oral Leukoplakia Treatment Using an Er:YAG Laser—A Prospective Study

Jurczyszyn

Kozakiewicz

2020

Materials

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Background: Oral leukoplakia (OL) is a potential neoplasmic lesion. The aim of this study was to apply texture analysis (TA) and fractal dimension analysis (FDA) to estimate the effectiveness of OL treatment using an Er:YAG laser. Methods: Eighteen patients with 32 lesions were treated. Laser procedures were conducted using the LiteTouch™ Er:YAG Dental Laser. The diameter of the operational tip was 1.3 mm, the power was 50 mJ, the frequency was 50 Hz, and the wavelength was 2940 nm. TA was based on long and short-run emphasis inverse moments, difference entropy, inverse difference moment, and wavelet decomposition for two-dimensional photography. FDA was measured using the box-counting method. Results: Total response was achieved in 50% of lesions, partial response was observed in 47%, and 3% of lesions did not respond to treatment. Recurrence occurred in 34% of lesions. TA features indicated pathological images depicting leukoplakia and complete reconstruction of the correct mucosal image after laser ablation. The discrete wavelet transformation feature detects much larger structures than the properties derived from the run-length matrix and co-occurrence matrix. Conclusions: The Er:YAG laser is an effective treatment method in cases of oral leukoplakia. Leukoplakia treatment by Er:YAG laser is an effective modality, as revealed by the oral mucosa microstructure. TA and FDA are promising methods to estimate the effectiveness of OL treatment.

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Artificial intelligence for classification and detection of oral mucosa lesions on photographs: a systematic review and meta-analysis

Rokhshad,

Mohammad-Rahimi,

Price

et al. 2024

Clin Oral Invest

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Differential diagnosis of leukoplakia versus lichen planus of the oral mucosa based on digital texture analysis in intraoral photography

Abstract: Jurczyszyn K, Kozakiewicz M. Differential diagnosis of leukoplakia versus lichen planus of the oral mucosa based on digital texture analysis in intraoral photography.

Cited by 13 publications

References 23 publications

The use of digital texture image analysis in determining the masticatory efficiency outcome

The use of digital texture image analysis in determining the masticatory efficiency outcome

Application of Texture and Fractal Dimension Analysis to Estimate Effectiveness of Oral Leukoplakia Treatment Using an Er:YAG Laser—A Prospective Study

Artificial intelligence for classification and detection of oral mucosa lesions on photographs: a systematic review and meta-analysis

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